Preprint
Review

This version is not peer-reviewed.

Transfection Technologies for Next-Generation Therapies

A peer-reviewed article of this preprint also exists.

Submitted:

29 July 2025

Posted:

30 July 2025

You are already at the latest version

Abstract
Background: Transfection is vital for gene therapy, mRNA treatments, CAR-T cell therapy, and regenerative medicine. While viral vectors are effective, non-viral systems like lipid nanoparticles (LNPs) offer safer, more flexible alternatives. This work explores emerging non-viral transfection technologies to improve delivery efficiency and therapeutic out-comes. Methods: This review synthesizes current literature and recent advancements in non-viral transfection technologies. It focuses on the mechanisms, advantages, and limitations of various delivery systems, including lipid nanoparticles, biodegradable polymers, electroporation, peptide-based carriers, and microfluidic platforms. Comparative analysis was conducted to evaluate their performance in terms of transfection efficiency, cellular uptake, biocompatibility, and potential for clinical translation. Results: Non-viral system demonstrated superior performance in delivering mRNA, siRNA, and antisense oligonucleotides, particularly in clinical applications. Biodegradable polymers and peptide-based systems showed promise in enhancing biocompatibility and targeted delivery. Electroporation and microfluidic systems offered precise control over transfection parameters, improving reproducibility and scalability. Collectively, these innovations address key challenges in gene delivery, such as stability, immune response, and cell-type specificity. Conclusion: The continuous evolution of transfection technologies is pivotal for advancing gene and cell-based therapies. Non-viral delivery systems, particularly LNPs and emerging platforms like microfluidics and biodegradable polymers, offer safer and more adaptable alternatives to viral vectors. These innovations are critical for optimizing therapeutic efficacy and enabling personalized medicine, immunotherapy, and regenerative treatments. Future research should focus on integrating these technologies to develop next-generation transfection platforms with enhanced precision and clinical applicability.
Keywords: 
;  ;  ;  ;  ;  ;  ;  ;  ;  ;  

1. Introduction

Transfection is a fundamental technique in biosciences and biotechnology, playing a critical role in developing cell and gene therapies. It enables the introduction of nucleic acids into cells, a crucial step in gene editing, gene therapy, and protein production for drug discovery [1]. Despite its importance, mechanisms governing transfection efficiency remain only partially understood [1,2].
The complex interactions of transfection reagents with cells and how they facilitate genetic material uptake, thereby influencing cellular processes, are actively being studied. While optimized for certain cell types and applications, achieving high transfection efficiency across diverse cell lines, especially primary cells, stem cells, and complex tissues, remains a significant challenge [3]. Furthermore, the toxicity of many transfection reagents is poorly understood, and their potential side effects on cell viability and gene expression limit broader therapeutic utility [2]. Variability in transfection efficiency, the need for specialized reagents, and the complexities of protocol optimization also continue to pose challenges [3,4].
A more informative approach to understanding and placing these limitations into perspective must consider the conventional means of transfection and the practical compromises. The traditional approaches such as electroporation, gene gun (biolistic), and viral vector-delivery have been the workhorse of gene delivery techniques for decades. Electroporation is the application of high voltage electrical pulses to form temporary pores in the cell membrane, to which the nucleic acids are delivered. It is effective across various cell types and allows for both transient and stable transfection, but it often results in high cell death and requires cell-type-specific optimization [5,6]. The gene gun approach utilizes high-pressure gas to introduce DNA-covered microparticles into cells and is optimal for plant cells or aggregated tissues but has minimal transfection efficiency and cellular damage potential [7]. Virus vectors, including lentiviruses, adenoviruses, and retroviruses, possess high delivery efficiency and long-lasting gene expression because they become incorporated into the genome of the host. However, these vectors are plagued by significant biosafety and immunogenicity concerns as well as production and regulatory challenges [8]. While these legacy methods have been instrumental to gene delivery progress, their limitations in terms of safety, consistency, and scalability underscore the imperative for new technologies.
To address these challenges, non-viral gene delivery systems have garnered increasing attention due to their improved safety profiles and engineering tractability [9]. Among these, metal-organic frameworks (MOFs) and inorganic nanoparticles have emerged as outstanding candidates for next-generation platforms. MOFs, composed of metal ions coordinated with organic ligands, exhibit outstanding structural features such as high porosity, tunable surface chemistry, and biocompatibility [10]. Such features make MOFs highly capable of encapsulating and protecting nucleic acids such as plasmid DNA, siRNA, mRNA, and CRISPR/Cas reagents, while facilitating controlled release and cellular uptake promotion via functionalization. At the same time, inorganic nanoparticles such as gold nanoparticles, silica nanoparticles, and calcium phosphate-based systems are highly efficient for nucleic acid delivery [11,12]. They are capable of being engineered to perform surface functionalization for increased endosomal release, improved target specificity, and reduced immunogenicity [9]. MOFs and inorganic nanoparticles are less cytotoxic than cationic polymers and offer convenient platforms for gene targeting in cancer treatment and regenerative medicine [13]. Nevertheless, significant hurdles such as scale-up manufacture, biodegradability, potential toxicity of metal ions, and controlled release kinetics remain to impede clinical translation. Despite these issues, their tunability for physicochemical properties puts MOFs and inorganic nanoparticles in the vanguard of prospective non-viral gene delivery candidates [14].
The limitations of conventional transfection methods-low efficacy in primary and stem cells, cytotoxicity, and variability-highlight the need for innovative and versatile gene delivery systems. The objective of the current review is to comprehensively evaluate existing non-viral transfection methods and systematically compare their efficacy in terms of delivering genetic material and expression and biosafety including potential for toxicity, immunogenicity, and off-target effects can be reliably used in research and clinical settings [15,16,17,18]. Furthermore, the review will explore and highlight platforms that are pushing the boundaries of gene delivery and assessing enhance therapeutic applications.

2. Non-Viral Gene Delivery Systems

Non-viral gene delivery systems offer key advantages over viral vectors, including safety, higher payload capacity, and reduced immunogenicity. Unlike viral vectors, these systems don’t integrate genetic material into the host genome [19], minimizing the risk of insertional mutagenesis, enabling transient therapeutic effects - ideal for applications like vaccines. Their higher payload capacity allows delivery of larger or multiple genes, including CRISPR components [20]. Non-viral approaches elicit minimal immune responses, enabling repeated administration and increased safety in immunocompromised patients.
Furthermore, they can deliver diverse genetic material, including DNA, RNA, and oligonucleotides, making them adaptable for gene editing [21,22,23,24,25,26,27], and RNA interference therapies [28]. Common platforms include lipid-based carriers, such as lipoplexes and lipid nanoparticles (LNPs), and cationic polymers, such as polyethyleneimine (PEI) and chitosan, which form polyplexes with nucleic acids. These carriers protect genetic cargo, aid in cellular uptake and endosomal escape, and can be engineered for tissue-specific delivery. In short, non-viral systems are economical, scalable, and compatible with targeted delivery to specific tissues. (Figure 1)
Extracellular vesicles (EVs), especially exosomes, are emerging as powerful non-viral vectors for gene delivery due to their natural origin, biocompatibility, and ability to facilitate intercellular communication. These nano-sized vesicles (30–150 nm) protect genetic cargo, such as DNA, siRNA, and mRNA, from enzymatic degradation, thereby improving delivery stability and efficiency. Their low immunogenicity and toxicity make them suitable for repeated use, even in immunocompromised patients [29,30]. Exosomes can be engineered either post-isolation (e.g., electroporation) or via donor cell modification to load nucleic acids endogenously. Surface modifications further enable targeted delivery [31]. Despite challenges in large-scale production and standardization, their biomimetic properties make exosomes promising candidates for RNA therapeutics and precision medicine [32,33].
These combined advantages position non-viral delivery as a key innovation in driving the development of therapeutic gene editing technologies [34,35]. This potential is reflected in the active engagement of numerous pharmaceutical companies in developing therapeutic drugs targeting diverse diseases using non-viral gene delivery systems (Table 1). By leveraging these systems, these companies aim to enhance the efficiency and targeting of therapeutic gene delivery, ultimately improving treatment outcomes and broadening the clinical applications of gene therapy [36].

3. Advancing to Clinical Path Through Transfection

Transfection technologies are significantly improving clinical applications through innovative approaches leading to the development of new therapies and optimizing existing treatments (Figure 2).

3.1. mRNA-Based Therapies

The field of mRNA therapeutics has rapidly advanced due to its potential in addressing various medical conditions. Unlike traditional protein therapies, mRNA enables in vivo protein production, bypassing complex purification processes [56,57]. The rapid development and deployment of COVID-19 vaccines exemplifies the power of mRNA-based vaccines [58,59,60,61]. Beyond vaccines, mRNA is being explored for protein replacement therapy [57], cancer immunotherapy, cellular reprogramming, and gene editing [62,63,64].
Effective mRNA-based therapies depend on efficient transfection technologies. Delivering mRNA to target cells is challenging due to its susceptibility to degradation and the need for suitable carriers to facilitate intracellular uptake [60,65]. Several transfection methods have been explored, including lipid-based systems, polymer-based systems, and viral transduction, each with advantages and limitations. Polymers, especially cationic polymers, offer reduced immunotoxicity, low cost, and ease of production, but face challenges with low transfection efficiency and potential toxicity [66]. While viral transduction is highly efficient for delivering genetic material into hard-to-transfect cells, including primary cells, but it carries the risk of increased cytotoxicity and viral infection [67,68].
Lipid nanoparticles (LNPs) have emerged as the leading non-viral delivery platform, showing great promise for in vivo delivery of RNA therapeutics, such as small interfering RNAs (siRNA) [69], antisense oligonucleotides (ASOs), synthetic guide RNAs [70,71] and mRNAs [72,73]. LNPs offer flexibility in payload adaptation, and lipid composition, making them a transformative tool in drug delivery [74,75]. Their stability, efficiency, and reduced immunogenicity position them pivotal in advancing vaccines, gene therapies, and antibody-based treatments.

3.2. CAR-T Cell Therapy

CAR-T cell therapy represents a significant advance in cancer treatment. It involves genetically engineered T-cells which possess a remarkable ability to target and destroy cancerous cells with high specificity [76,77]. CAR-T cells have demonstrated impressive results against hematological malignancies such as, acute lymphoblastic leukemia (ALL) and large B-cell lymphoma, offering potentially curative outcomes for patients unresponsive to conventional treatments [78]. This therapy relies on advanced transfection technologies to precisely modify T-cells enabling them to express chimeric antigen receptors (CARs) [79,80]. While viral vectors, like lentiviruses and retroviruses, are commonly used for transfection due to their efficient and stable and transfer of CAR genes into T-cells [81], they carry a potential of insertional mutagenesis due to integration of genetic material into the host genome.
Beyond viral vectors, non-viral approaches, such as electroporation, have emerged as attractive alternatives that allow rapid and inexpensive introduction of CAR-encoding mRNA or DNA into T-cells, thus largely avoiding integration-related risks [82,83]. Furthermore, polymer-based and lipid nanoparticle (LNP) systems are also being explored as safer, less immunogenic methods that also facilitate scalable CAR-T cell production [84]. These advances in transfection technology are not only improving the efficiency of CAR-T therapy but also expanding its application to solid tumors, which pose unique challenges such as antigen heterogeneity and limited T-cell infiltration [85,86,87,88]. These engineered cells may possess dual-targeting capabilities and resistance to tumor-induced immunosuppression. Innovations like electroporation and RNA-based CAR transfection are streamlining manufacturing processes, lowering costs, and increasing flexibility. Collectively, these advances enhance the safety and efficacy of CAR-T therapy and broaden its clinical applicability to a wider range of cancers. [87,88].

3.3. Revolutionizing Gene Therapy

Gene therapy has emerged as a revolutionary modality in modern medicine, offering the potential to treat or even cure genetic disorders by directly targeting the underlying genetic defects. A critical component of successful gene therapy is the development and optimization of transfection technologies which enable the safe and efficient delivery of therapeutic genes into target cells [89,90,91]. Beyond monogenic disorders, gene therapy is also contributing to advances in cancer treatment through the genetic engineering of immune cells to enhance tumor suppression and immune response [92,93]. These advances are often enabled by transfection methods such as electroporation and nanoparticle delivery. Furthermore, innovations in in vivo delivery approaches—including adaptations of lipid nanoparticle (LNP) technology from mRNA vaccines and tissue-specific targeting via receptor-mediated pathways—are addressing significant challenges, improving precision, and expanding the therapeutic potential of gene therapy [94,95]. Continued evolution of transfection technologies is focused on overcoming challenges related to efficiency, immunogenicity, and scalability [96]. These ongoing developments are poised to transform the treatment landscape for a range of diseases including genetic disorders, cancer, and other complex conditions [97,98,99].

3.4. Small Interfering RNA and Antisense Oligonucleotide Therapies

Small interfering RNA (siRNA) and antisense oligonucleotides (ASOs) represent powerful gene silencing and therapeutic gene modifying tools with significant potential for treating genetic disorders, viral infections, and cancers. Effective delivery to target tissues is crucial for their therapeutic success, and this relies heavily on optimized transfection reagents [100,101,102,103]. siRNA therapies, exemplified by the FDA-approved Onpattro for hereditary transthyretin-mediated amyloidosis, use RNA interference to degrade mRNA and require LNPs for precise targeting [100,104]. In contrast, ASOs, such as Spinraza for spinal muscular atrophy (SMA) and Eteplirsen for Duchenne muscular dystrophy (DMD), bind to mRNA to inhibit translation or correct splicing defects [105]. Advances in cationic lipids and polymers have led to improved ASO delivery, enhancing stability, targeting specificity, and minimizing immune responses [106,107,108,109,110,111,112,113,114]. These innovations in delivery technologies are expanding the scope of RNA-based therapeutics, offering new hope for patients with previously untreatable genetic disorders [114,115,116,117,118,119,120,121].

3.5. Regenerative Medicine

The efficacy of regenerative medicine strategies, including stem cell therapy, tissue engineering, and gene therapy, is significantly enhanced by advances in transfection technologies. [122]. A pivotal advance in therapies is the utilization of transfection reagents, which markedly enhance gene delivery efficiency. These techniques facilitate precise genetic modifications, driving tissue repair and cellular regeneration. In stem cell therapy, electroporation, viral vectors, and nanoparticle-based delivery systems are pivotal for introducing gene-editing tools, such as CRISPR/Cas9, enabling targeted genomic modifications and optimizing therapeutic efficacy [123,124,125,126].
Tissue engineering utilizes transfection-mediated delivery of growth factor genes to promote the regeneration of complex tissues, including bone, cartilage, and nerves. Notably, mRNA-lipid nanoparticle systems offer a non-viral, low-risk approach for cellular reprogramming, enabling the generation of specialized cell types. [127]. Gene therapy employs these transfection technologies to deliver therapeutic genes, addressing conditions like ischemic injuries, muscular dystrophy, and retinal degeneration). These methodologies feature the critical role of efficient gene delivery in realizing the full potential of regenerative medicine [128]. Specific therapies developed by pharmaceutical companies that employ non-viral gene delivery systems.
Table 2. Therapies using Non-Viral Gene Delivery Systems [129,130,131,132,133,134,135].
Table 2. Therapies using Non-Viral Gene Delivery Systems [129,130,131,132,133,134,135].
Category Company Drug Description
mRNA-based Therapies Moderna mRNA-1273 COVID-19 vaccine using lipid nanoparticles for delivery.
Pfizer-BioNTech BNT162b2 COVID-19 vaccine using lipid nanoparticles for delivery.
Arcturus Therapeutics ARCT-810 mRNA therapy for Ornithine Transcarbamylase (OTC) deficiency using lipid nanoparticles.
CureVac CVnCoV COVID-19 vaccine candidate using lipid nanoparticles.
Translate Bio (Sanofi) MRT5005 mRNA therapy for cystic fibrosis using lipid nanoparticles.
BioNTech BNT111 mRNA cancer immunotherapy using lipid nanoparticles.
GenEdit Various Developing non-lipid, hydrophilic polymer nanoparticles for autoimmune diseases and other indications.
CAR-T Therapies Cellectis UCART19 Allogeneic CAR-T therapy for leukemia using TALEN gene editing technology.
Poseida Therapeutics P-BCMA-101 CAR-T therapy for multiple myeloma using piggyBac DNA Modification System.
Precision BioSciences PBCAR0191 CAR-T therapy for B-cell malignancies using ARCUS genome editing technology.
Sana Biotechnology SC291 CAR-T therapy for hematologic malignancies using fusogen technology for non-viral delivery.
Allogene Therapeutics ALLO-501 Allogeneic CAR-T therapy for non-Hodgkin lymphoma using TALEN gene editing technology.
Arcellx CART-ddBCMA CAR-T therapy for multiple myeloma using a novel synthetic binding scaffold.
Gene therapy ElevateBio Various Developing a broad portfolio of cell and gene therapies using non-viral delivery systems.
Tessera Therapeutics Gene Writing™ Pioneering Gene Writing technology to treat diseases at their source.
Mediphage Bioceuticals ministring DNA (msDNA) Developing non-viral, safe, and redosable gene therapies using msDNA technology.
Clearside Biomedical CLS-AX Developing therapies for chronic eye diseases using non-viral delivery methods.
Code Biotherapeutics 3DNA Leveraging a non-viral multivalent synthetic DNA delivery platform for various genetic disorders.
Mana.bio Various Using AI-based drug delivery platform for oligonucleotide therapies, including mRNA-based therapeutics.
Nanoscope Therapeutics MCO-010 Developing gene therapies for vision impairment and blindness using non-viral delivery systems.
Generation Bio ceDNA Developing non-viral genetic medicines with long-term efficacy and support for redosing.
siRNA and ASO Therapies Alnylam Pharmaceuticals Onpattro (patisiran) siRNA therapy for hereditary transthyretin-mediated amyloidosis using lipid nanoparticles.
Ionis Pharmaceuticals Spinraza (nusinersen) ASO therapy for spinal muscular atrophy.
Arrowhead Pharmaceuticals ARO-AAT siRNA therapy for alpha-1 antitrypsin deficiency using TRiM™ platform.
Dicerna Pharmaceuticals DCR-PHXC siRNA therapy for primary hyperoxaluria using GalXC™ platform.
Wave Life Sciences WVE-120101 ASO therapy for Huntington's disease using stereopure oligonucleotides.
Silence Therapeutics SLN360 siRNA therapy for cardiovascular disease using GalNAc conjugation.
ProQR Therapeutics Sepofarsen ASO therapy for Leber congenital amaurosis 10 (LCA10).
Arbutus Biopharma AB-729 siRNA therapy for chronic hepatitis B using GalNAc conjugation.
OliX Pharmaceuticals OLX101 siRNA therapy for hypertrophic scars using asymmetric siRNA technology.
DTx Pharma FALCON platform drugs Developing siRNA therapies using Fatty Acid Ligand Conjugated OligoNucleotide (FALCON) platform.
Regenerative Medicine Aspen Neuroscience ANPD001 Autologous iPSC-derived neuron replacement therapy for Parkinson’s Disease.
Nanoscope Therapeutics MCO-010 Gene therapy for vision impairment and blindness using non-viral delivery systems.
Generation Bio ceDNA Developing non-viral genetic medicines with long-term efficacy and support for redosing.
Tessera Therapeutics Gene Writing™ Pioneering Gene Writing technology to treat diseases at their source.
Code Biotherapeutics 3DNA Leveraging a non-viral multivalent synthetic DNA delivery platform for various genetic disorders.
Clearside Biomedical CLS-AX Developing therapies for chronic eye diseases using non-viral delivery methods.

4. Key Challenges in Transfection

The field of gene delivery has witnessed substantial progress with the development of sophisticated transfection technologies. These include liposomal, polymer-based systems, offering biocompatibility and controlled release; viral vectors, providing high transduction efficiency; nanoparticle mediated delivery, enabling targeted gene transfer; electroporation, facilitating direct cellular uptake; and microfluidic approaches, allowing for precise control and high-throughput applications [136,137]. Each of these methods present unique advantages and pose specific challenges [138,139] associated with efficient and safe gene delivery [Figure 3].
Chemical transfection, a widely employed method, utilizes cationic reagents, including lipids and polymers to complex with nucleic acids. This facilitates cellular entry primarily through endocytosis [140,141]. Lipofection, a prominent technique within this category, leverages cationic lipids to form lipoplexes, enabling efficient transmembrane transport. While alternative reagents such as calcium phosphate and DEAE-dextran have been utilized, they generally exhibit lower transfection efficiency and increased cytotoxicity [2,142].
Cationic polymers - such as polyethyleneimine (PEI), are employed in polymer-based transfection to form nanoparticles that deliver nucleic acids into cells [143,144,145]. However, the use of these polymers has been historically limited by concerns of their inherent cytotoxicity and biocompatibility. To address these limitations, the development of biodegradable and biocompatible polymers, such as poly (lactic-co-glycolic acid) (PLGA) and poly(beta-amino esters) (PBAEs), has significantly improved the safety profile and transfection efficiency, especially in in vivo settings [146].
Exosome-based gene delivery shows great potential, but several challenges hinder its clinical translation. Standardizing and scaling production remain difficult due to inconsistent yields and purity, which complicates reproducibility and quality control [32]. Cargo loading methods often compromise efficiency or vesicle integrity, and while exosomes offer natural targeting, achieving precise tissue-specific delivery without complex surface engineering is still technically demanding [30,147]. Additionally, limited understanding of cellular uptake and intracellular trafficking reduces the predictability of gene expression outcomes [29]. The absence of standardized protocols and regulatory frameworks further delays clinical adoption [148]. Addressing these issues is key to realizing exosomes as scalable, safe, and effective non-viral delivery systems.
Physical transfection methods, including electroporation and microinjection, offer direct nucleic acid delivery by circumventing cellular barriers [149]. Electroporation utilizes electrical impulses to induce transient membrane permeabilization, facilitating nucleic acid uptake, while microinjection enables precise, single-cell delivery [150]. Despite their efficacy in specialized applications, these techniques are limited by scalability, potential cellular damage, and reduced cell viability [151]. A significant challenge across all transfection modalities is endosomal trapping; wherein nucleic acids are sequestered within endosomes, hindering their functional activity [152,153,154]. To address this, substantial efforts have focused on enhancing endosomal escape through the development of fusogenic lipids, pH-responsive materials, and other escape enhancers, leading to improved delivery efficiency [136,155,156,157].
Despite promising preclinical results, metal-organic frameworks (MOFs) and inorganic nanoparticles face significant hurdles in reaching clinical use. While these materials offer advantageous properties like tunable porosity, high surface area, and chemical functionalization, most MOFs are still in early research and development [158,159]. Several critical issues impede their transition into clinical applications such as drug delivery and bioimaging. These include limited biocompatibility data, potential long-term toxicity, challenges in large-scale synthesis, and regulatory ambiguities [159]. Overcoming these challenges is crucial to fully harness the therapeutic potential of MOFs and other inorganic nanomaterials [160].
Microfluidic technologies leverage precise control of fluid flow at the microscale to introduce genetic material into cells with high accuracy [161]. These systems offer significant benefits, including minimized reagent consumption, precise spatiotemporal control of transfection parameters, and the capability for single-cell manipulation This makes them advantageous for high-throughput applications and for specialized techniques such as intracellular delivery and mechanoporation [162]. However, the mechanical and physical forces generated within microfluidic devices, particularly shear stress, can induce cellular stress potentially leading to compromised cell viability and reduced transfection efficiency [163].
Figure 3. Non-Viral DNA Transfection: This illustration depicts the gene transfection processes, effectively navigating various obstructions to deliver nucleic acids. [Created in BioRender. Teo, C. (2025) https://BioRender.com/ludvsnm] [164].
Figure 3. Non-Viral DNA Transfection: This illustration depicts the gene transfection processes, effectively navigating various obstructions to deliver nucleic acids. [Created in BioRender. Teo, C. (2025) https://BioRender.com/ludvsnm] [164].
Preprints 170282 g003
Nucleic acid delivery faces significant obstacles including extracellular degradation, serum interactions, and intracellular membrane penetration [165]. Physical methods, while aiding cellular entry, can compromise cell viability, and viral vectors pose inherent safety risks. Non-viral synthetic vectors, notably lipid-based systems, offer a safer approach but necessitate optimization to enhance gene delivery efficiency [166]. Their clinical translation is hindered by tropism-related challenges. These systems lack the intrinsic targeting specificity of viral vectors, which naturally engage receptors on target cells [167]. To compensate, non-viral carriers often require surface functionalization with ligands, antibodies, or peptides to achieve tissue-specific delivery [167,168]. However, receptor heterogeneity among cell types complicates consistent targeting, leading to off-target distribution and variable therapeutic efficacy [167]. Additionally, functionalization efforts can impair vector stability, reduce uptake efficiency, or trigger rapid clearance by the mononuclear phagocyte system (MPS) or reticuloendothelial system (RES) [167,169]. The prevalent liver tropism of many nanoparticle systems further limits delivery to other organs unless physical or molecular targeting strategies are employed [170,171]. Thus, achieving precise tropism without sacrificing biocompatibility, efficiency, or scalability remains a critical and unsolved challenge for the effective use of non-viral gene delivery systems in clinical settings [172].
As another example, hematopoietic stem cell (HSC) transfection systems can be considered for tissue specific tropism. Transfecting HSCs remains a formidable challenge due to their quiescent nature, sensitivity to manipulation, and the need to preserve their self-renewal and multilineage differentiation potential [173]. However, the emergence of non-viral transfection technologies has significantly enhanced the feasibility of genetic modification in these cells, offering safer, more scalable, and less immunogenic alternatives to traditional viral vectors. Among these, ribonucleoprotein (RNP) complex delivery has emerged as a particularly promising strategy. This method involves the direct introduction of pre-assembled CRISPR-Cas9 protein complexes with guide RNA into HSCs, enabling rapid and highly specific genome editing while circumventing the risks of insertional mutagenesis associated with DNA-based approaches [172]. Recent technological advancements have further refined RNP delivery through innovative platforms such as microfluidics, which allow precise modulation of transfection parameters; filtroporation, which employs pressure gradients to facilitate cytosolic entry; and cell-penetrating peptides (CPPs), which enhance membrane permeability with minimal cytotoxicity. Collectively, these developments are transforming the landscape of HSC engineering, paving the way for safer and more effective gene therapies for hematologic and genetic disorders [174].

5. Transfection Technologies: Future Perspectives

The next generation of transfection technologies aims to improve efficiency, reduce immunogenicity, and enable precise gene delivery [50,59,176]. Specifically, mRNA-based therapies face obstacles such as instability, immune activation, and limited tissue targeting. To overcome these challenges, strategies involving ionizable lipids, fusogenic materials, dendrimers, and biodegradable polymers have been implemented to increase safety and broaden therapeutic applicability for clinical translation [177,178,179,180,181,182,183,184,185]. LNPs can be engineered for targeted gene delivery by manipulating their chemical composition and charge, as evidenced by successful CRISPR/Cas9-mediated PTEN editing. The inclusion of ionizable cationic lipids in LNP formulations is essential for encapsulating CRISPR/Cas9 components, enhancing the circulation half-life, and improving endocytosis efficiency by target cells [186]. Although LNPs are beneficial in terms of scalability and the ability to deliver large molecules, extracellular vesicles (EVs) are being explored as biocompatible and nonantigenic delivery vehicles for mRNAs [187]. EVs can currently be loaded with mRNA via specialized plasmids or direct methods [188]. Moreover, EVs loaded with targeting peptides, such as those that use the C1C2 domain of lactadherin, have been found to be effective in preclinical cancer therapy with prolonged circulation and no toxicity [189]. LNPs and EVs are suitable candidates for gene therapy, with LNPs being more potent in large-scale applications and EVs having improved biocompatibility and lower toxicity.
CPPs also show promise as effective vectors for mRNA delivery with high cellular uptake and endosomal escape efficacy. PepFect14 (PF14), for example, is used to create stable nanocomplexes for promoting mRNA delivery [190], whereas RALA is a pH-sensitive peptide used in cancer treatment [191]. The HIV-1 Tat peptide has been extensively used in mRNA vaccine design and gene expression research [192]. Moreover, MPG has shown potential in regenerative medicine [193], whereas CADY has high transfection efficiency for therapeutic purposes [194]. Overall, the development of next-generation delivery systems aims to address several critical challenges, including low transfection efficiency in difficult-to-transfect cell types, high cytotoxicity, poor compatibility with high-throughput screening (HTS) platforms, inconsistent reproducibility, and limited formulation stability during storage. Overcoming these barriers is crucial for advancing molecular and cellular biology and for enabling translational applications such as gene therapy and regenerative medicine.
In CAR-T-cell therapy, CAR-T cells modified with the Sleeping Beauty (SB) transposon system have demonstrated potent antileukemic activity with a favorable safety profile. This nonviral approach reduces the risk of insertional mutagenesis, lowers manufacturing cost and simplifies production. SB-engineered CAR-T cells effectively target leukemia and are being investigated for allogeneic CAR-T-cell therapies [40]. Since 2018, LNP-based manufacturing strategies have been rigorously investigated to optimize CAR-T-cell production. Early studies demonstrated a reduction to a 3-day manufacturing timeline, with recent advances utilizing activating lipid nanoparticles achieving a remarkable 1-day production cycle [38]. This process acceleration, facilitated by innovative LNP formulations, enables scalable production of autologous therapies by streamlining workflows rather than simply increasing volume. The integration of closed systems further enhances manufacturing efficiency by eliminating bead-mediated T-cell activation, simplifying culture procedures, and reducing costs, thereby bolstering centralized production capacity [39]. These improvements are particularly significant for patients with rapidly progressing cancers, where swift treatment access is essential [37].
The future of transfection technologies is poised between biotechnology and artificial intelligence (AI) in the pipeline, with the promise of transforming gene therapy and regenerative medicine. AI-driven modeling is demystifying the complexity of intricate cellular interactions, enabling rational design of the next generation of gene delivery systems with more precision, less toxicity, and cell-type specificity [195,196]. By leveraging machine learning and computational simulations, researchers can now predict optimal transfection conditions, streamline vector engineering, and minimize the traditional reliance on trial-and-error experimentation. AI algorithms have already shown to be successful for the optimization of lipid nanoparticle (LNP) formulations for mRNA delivery, simulation of nucleic acid–polymer interactions, and prediction of physicochemical properties of novel nanocarriers such as polyplexes and MOF-based platforms [197,198]. In silico technologies also enable the virtual screening of carrier libraries to improve cellular uptake, endosomal escape, and intracellular stability—key determinants of effective transfection [199]. This foresight role not only accelerates the experimental process but also bridges the translational gap between the research bench and clinic. Moreover, the integration of AI with single-cell transcriptomics and omics data allows for personalized gene delivery approaches via the identification of unique molecular signatures and tissue-specific receptors [200]. The confluence of computational modeling and lab validation holds the potential to accelerate regulatory approval pathways, reduce development expenditure, and enhance patient access to novel gene therapies. With the advancement of AI, its role in guiding non-viral vector design, dosage optimization, and therapeutic targeting will play a pivotal role in shaping the future of precision medicine.
Artificial intelligence (AI) is transforming the optimization of transfection efficiency in lipid nanoparticle (LNP)-mediated mRNA delivery by leveraging deep learning, multimodal data fusion, and explainable AI [87,201,202]. Models like TransMA integrate 3D molecular geometry with 1D atomic sequences to deliver high accuracy and interpretable attention maps, aiding in the identification of transfection cliffs [198]. LANTERN combines Morgan fingerprints with expert descriptors in a multilayer perceptron, outperforming complex models like AGILE with strong generalizability [198]. TransLNP, a transformer-based model using the BalMol data-balancing technique, excels in predicting across diverse LNPs and small datasets [203]. Meanwhile, AGILE uses a graph neural network trained on 60,000 virtual lipids for effective large-scale screening (AGILE platform) [204]. Collectively, these AI tools are reshaping mRNA delivery by enabling more efficient and scalable formulation strategies [205,206].

6. Conclusion

Transfection technologies continue to evolve, addressing efficiency, safety, and scalability concerns to unlock their full potential in gene therapy, drug development, and disease treatment. As transfection methodologies advance, they promise to revolutionize the landscape of biomedical sciences by enhancing gene therapy, drug discovery, and cellular engineering. Emerging techniques, such as lipid nanoparticle systems and nonviral gene delivery, provide innovative solutions to existing challenges, optimizing safety and efficacy across applications. The interplay between efficiency, toxicity, and scalability is driving continuous innovation in gene delivery, with advances in lipid nanoparticles, nonviral vectors, and electroporation providing promising alternatives. By addressing current limitations, researchers are not only improving transfection methodologies but also expanding the therapeutic possibilities of genetic medicine, bringing new hope for precision treatments. In closing, this review provides a strategic roadmap for researchers working on gene delivery technologies, especially those bridging research with therapeutic development and clinical application.

Author Contributions

Dinesh Simkhada (D.S) developed the concept and outlined advancements in existing and emerging DNA transfection technologies. Catherine Teo (C.T) focused on RNA-based methods and non-viral delivery systems, contributing to their design and refinement. Nandakumar Deorkar (N.D) explored the role of artificial intelligence in transfection technology, examining how AI can be leveraged to create predictive models for improved future applications. Mohan C. Vemuri (M.C.V) conceived the overall study framework, overseeing its design, review process, and team coordination to ensure a comprehensive and cohesive final analysis.

Funding

This research was conducted without any external funding. All authors are full-time employees of Avantor Sciences, and the study was carried out as part of their professional roles within the organization.

Ethics Approval and Consent to Participate

This study is entirely based on a meta-analysis of previously published data and publicly available research. It does not involve direct experimentation on humans or animals, nor does it require any interaction with living subjects.

Consent to Participation

Since no subjects are involved consent for participation is not applicable.

Availability of Data and Material

All data and materials utilized in this study are sourced exclusively from publicly available databases and published research. As outlined in the references, the information has been obtained from open-access repositories and previously published works, ensuring transparency and accessibility. No proprietary or restricted datasets have been used, and all referenced materials are freely accessible to the public, allowing for independent verification and further analysis by other researchers.

Competing Interest

The authors declare that there are no competing interests related to this study. There are no financial, professional, or personal affiliations that could influence the interpretation or presentation of the findings.

Acknowledgments

Mohan C. Vemuri (M.C.V) expresses gratitude for the support in utilizing references from Johns Hopkins University.

Abbreviations

AI
Artificial intelligence
ALL
Acute lymphoblastic leukemia
ASOs
Antisense Oligonucleotides
CAR-T
Chimeric antigen receptor- T
COVID-19
Coronavirus disease 2019
CPP
Cell penetrating peptides
CRISPR
Clustered regularly interspaced short palindromic repeats
DMD
Duchenne muscular dystrophy
DNA
Deoxy ribonucleic acid
EVs
Extracellular vesicles
HTS
High-throughput screening
HSC
Hematopoietic stem cell
LNPs
Lipid Nanoparticles
MOF
Metal-organic frameworks
mRNA
Messenger RNA
PBAEs
Poly(beta-amino esters)
PEI
Polyetherimide
PLGA
Poly (lactic-co-glycolic acid)
RNA
Ribonucleic acid
SB
Sleeping Beauty
SiRNA
Small interfering RNA
SMA
Spinal muscular atrophy

References

  1. Wells-Holland, C; Elfick, A. Transfection reflections: fit-for-purpose delivery of nucleic acids. Nat. Rev. Mol. Cell. Biol. 2023, 24, 771–772.
  2. Fus-Kujawa, A; Prus, P; Bajdak-Rusinek, K; Teper, P; Gawron, K; Kowalczuk, A; Sieron, A.L. An Overview of Methods and Tools for Transfection of Eukaryotic Cells in vitro. Front. Bioeng. Biotechnol. 2021, 9, 701031. [CrossRef]
  3. Chong, Z.X; Yeap, S.K; Ho, W.Y. Transfection types, methods and strategies: A technical review. Peer J. 2021, 9, e11165.
  4. Rose, J.K. Optimization of transfection. Curr. Protoc. Cell Biol. 2003, Chapter 20, Unit 20.7.
  5. Liu, F; Su, R; Jiang, X; Wang, S; Mu, W; Chang, L. Advanced micro/nano-electroporation for gene therapy: recent advances and future outlook. Nanoscale. 2024, 16, 10500–21. [CrossRef]
  6. Campelo SN, Huang P-H, Buie CR, Davalos RV. Recent advancements in electroporation technologies: from bench to clinic. Annu. Rev. Biomed. Eng. 2023, 25, 77–100.
  7. Sharma, D; Arora, S; Singh, J; Layek, B. A review of the tortuous path of nonviral gene delivery and recent progress. Int. J. Biol. Macromol. 2021, 183, 2055-2073. [CrossRef]
  8. Dan, L; Kang-Zheng, L. Optimizing viral transduction in immune cell therapy manufacturing: key process design considerations. J. Transl. Med. 2025, 23(1), 501.
  9. Beta Lifesci. Understanding transfection and its role in modern cell biology. Frontier News. 2025, June 10.
  10. Feng, S; Li, Y; Tan, Z; Shen, S. Current landscape of metal-organic framework-mediated nucleic acid delivery and therapeutics. Int. J. Pharm. 2025, 672, 125295. [CrossRef]
  11. Lawson, H. D.; Nguyen, H. H.; Lee, K.J.; Wongsuwan, N.; Tupe, A.; Lu, M.; Arral, M. L.; Behre, A.; Ling, Z.; Whitehead, K. A.; Feinberg, A. W.; Ren, X.; Zheng, S.-Y. Synthetic Strategy for mRNA Encapsulation and Gene Delivery with Nanoscale Metal-Organic Frameworks. Adv. Funct. Mater. 2025, 35, 2404465.
  12. Kim, M.; Hwang, Y.; Lim, S.; Jang, H.-K.; Kim, H.-O. Advances in Nanoparticles as Non-Viral Vectors for Efficient Delivery of CRISPR/Cas9. Pharmaceutics 2024, 16, 1197.
  13. Wu, J.; Liang, J.; Zhang, Y.; Dong, C.; Tan, D.; Wang, H.; Zheng, Y.; He, Q. Strategic Advances in Targeted Delivery Carriers for Therapeutic Cancer Vaccines. Int. J. Mol. Sci. 2025, 26, 6879. [CrossRef]
  14. Sadiq, S.; Khan, S.; Khan, I.; Khan, A.; Humayun, M.; Wu, P.; Usman, M.; Khan, A.; Alanazi, A. F.; Bououdina, M. A Critical Review on Metal-Organic Frameworks (MOFs) Based Nanomaterials for Bio-Medical Applications: Designing, Recent Trends, Challenges, and Prospects. Heliyon 2024, 10(3), e25521.
  15. Desai, N.; Rana, D.; Salave, S.; Benival, D.; Khunt, D.; Prajapati, B. G. Achieving Endo/Lysosomal Escape Using Smart Nanosystems for Efficient Cellular Delivery. Molecules 2024, 29(13), 3131.
  16. Gao, J.; Karp, J. M.; Langer, R.; Joshi, N. The Future of Drug Delivery. Chem. Mater. 2023, 35(2), 359–363.
  17. Desai, N.; Rana, D.; Salave, S.; Gupta, R.; Patel, P.; Karunakaran, B.; Sharma, A.; Giri, J.; Benival, D.; Kommineni, N. Chitosan: A Potential Biopolymer in Drug Delivery and Biomedical Applications. Pharmaceutics 2023, 15(4), 1313. [CrossRef]
  18. Albuquerque, T.; Faria, R.; Sousa, A.; Neves, A. R.; Queiroz, J. A.; Costa, D. Polymer Peptide Ternary Systems as a Tool to Improve the Properties of Plasmid DNA Vectors in Gene Delivery. J. Mol. Liq. 2020, 309, 113157.
  19. Yin, H.; Kanasty, R. L.; Eltoukhy, A. A.; Vegas, A. J.; Dorkin, J. R.; Anderson, D. G. Non-Viral Vectors for Gene-Based Therapy. Nat. Rev. Genet. 2014, 15(8), 541–555.
  20. Yip, B. H. Recent Advances in CRISPR/Cas9 Delivery Strategies. Biomolecules 2020, 10(6), 839.
  21. Thermo Fisher Scientific. Lipofectamine® CRISPRMAX™ Cas9 Transfection Reagent.
  22. Sigma-Aldrich. PEI Prime™ Linear Polyethylenimine for Gene Delivery.
  23. Thermo Fisher Scientific. Lipofectamine® 3000 Transfection Reagent.
  24. Promega Corporation. ViaFect™ Transfection Reagent.
  25. Promega Corporation. FuGENE® HD Transfection Reagent.
  26. Lipofectamine® RNAiMAX in Drug Discovery: Thermo Fisher Scientific.
  27. Horizon Discovery. DharmaFECT® 1 Transfection Reagent.
  28. Tretbar, U. S.; Rurik, J. G.; Rustad, E. H.; Sürün, D.; Köhl, U.; Olweus, J.; Buchholz, F.; Ivics, Z.; Fricke, S.; Blache, U. Non-Viral Vectors for Chimeric Antigen Receptor Immunotherapy. Nat. Rev. Methods Primers 2024, 4, 74. [CrossRef]
  29. El Andaloussi, S.; Mäger, I.; Breakefield, X.O.; Wood, M.J. Extracellular vesicles: Biology and emerging therapeutic opportunities. Nat. Rev. Drug Discov. 2013, 12, 347–357.
  30. Kalluri, R.; LeBleu, V.S. The biology, function, and biomedical applications of exosomes. Science 2020, 367, eaau6977.
  31. Vader, P.; Mol, E.A.; Pasterkamp, G.; Schiffelers, R.M. Extracellular vesicles for drug delivery. Adv. Drug Deliv. Rev. 2016, 106, 148–156.
  32. Lener, T.; Gimona, M.; Aigner, L.; Börger, V.; Buzás, E.I.; Camussi, G.; Chaput, N.; Chatterjee, D.; Court, F.A.; Portillo, H.A.D.; et al. Applying extracellular vesicles based therapeutics in clinical trials – an ISEV position paper. J. Extracell. Vesicles 2015, 4, 30087. [CrossRef]
  33. Luan, X.; Sansanaphongpricha, K.; Myers, I.; Chen, H.; Yuan, H.; Sun, D. Engineering exosomes as refined biological nanoplatforms for drug delivery. Acta Pharmacol. Sin. 2017, 38, 754–763.
  34. Raguram, A.; Banskota, S.; Liu, D. R. Therapeutic In Vivo Delivery of Gene Editing Agents. Cell 2022, 185(15), 2806–2827. [CrossRef]
  35. Wang, C.; Pan, C.; Yong, H.; Wang, F.; Bo, T.; Zhao, Y.; Ma, B.; He, W.; Li, M. Emerging Non-Viral Vectors for Gene Delivery. J. Nanobiotechnol. 2023, 21(1), 272.
  36. Zhang, Y.; Wu, Z.-Y. Gene Therapy for Monogenic Disorders: Challenges, Strategies, and Perspectives. J. Genet. Genomics 2024, 51(2), 133–143. [CrossRef]
  37. Giorgioni, L.; Ambrosone, A.; Cometa, M. F.; Salvati, A. L.; Nisticò, R.; Magrelli, A. Revolutionizing CAR T-Cell Therapies: Innovations in Genetic Engineering and Manufacturing to Enhance Efficacy and Accessibility. Int. J. Mol. Sci. 2024, 25(19), 10365.
  38. Ghassemi, S.; Durgin, J. S.; Nunez-Cruz, S.; Patel, J.; Leferovich, J.; Pinzone, M.; Shen, F.; Cummins, K. D.; Plesa, G.; Cantu, V. A.; Reddy, S.; Bushman, F. D.; Gill, S. I.; O'Doherty, U.; O'Connor, R. S.; Milone, M. C. Rapid Manufacturing of Non-Activated Potent CAR T Cells. Nat. Biomed. Eng. 2022, 6(2), 118–128. [CrossRef]
  39. Metzloff, A. E.; Padilla, M. S.; Gong, N.; Billingsley, M. M.; Han, X.; Merolle, M.; Mai, D.; Figueroa-Espada, C. G.; Thatte, A. S.; Haley, R. M.; Mukalel, A. J.; Hamilton, A. G.; Alameh, M.-G.; Weissman, D.; Sheppard, N. C.; June, C. H.; Mitchell, M. J. Antigen Presenting Cell Mimetic Lipid Nanoparticles for Rapid mRNA CAR T Cell Cancer Immunotherapy. Adv. Mater. 2024, 36(26), 2313226.
  40. Magnani, C. F.; Gaipa, G.; Lussana, F.; Belotti, D.; Gritti, G.; Napolitano, S.; Matera, G.; Cabiati, B.; Buracchi, C.; Borleri, G.; Fazio, G.; Zaninelli, S.; Tettamanti, S.; Cesana, S.; Colombo, V.; Quaroni, M.; Cazzaniga, G.; Rovelli, A.; Biagi, E.; Galimberti, S.; Calabria, A.; Benedicenti, F.; Montini, E.; Ferrari, S.; Introna, M.; Balduzzi, A.; Valsecchi, M. G.; Dastoli, G.; Rambaldi, A.; Biondi, A. Sleeping Beauty-Engineered CAR T Cells Achieve Antileukemic Activity without Severe Toxicities. J. Clin. Invest. 2020, 130(11), 6021–6033. [CrossRef]
  41. Guidotti, G.; Brambilla, L.; Rossi, D. Cell-Penetrating Peptides: From Basic Research to Clinics. Trends Pharmacol. Sci. 2017, 38(4), 406–424.
  42. Yip, T.; Qi, X.; Yan, H.; Chang, Y. Therapeutic Applications of RNA Nanostructures. RSC Adv. 2024, 14(39), 28807–28821. [CrossRef]
  43. Han, X.; Gong, N.; Xue, L.; Billingsley, M. M.; El-Mayta, R.; Shepherd, S. J.; Alameh, M.-G.; Weissman, D.; Mitchell, M. J. Ligand-Tethered Lipid Nanoparticles for Targeted RNA Delivery to Treat Liver Fibrosis. Nat. Commun. 2023, 14(1), 75.
  44. Xiao, W.; Jiang, W.; Chen, Z.; Huang, Y.; Mao, J.; Zheng, W.; Hu, Y.; Shi, J. Advance in Peptide-Based Drug Development: Delivery Platforms, Therapeutics and Vaccines. Signal Transduct. Target. Ther. 2025, 10, 74. [CrossRef]
  45. Bui, T. A.; Mei, H.; Sang, R.; Ortega, D. G.; Deng, W. Advancements and Challenges in Developing In Vivo CAR T Cell Therapies for Cancer Treatment. EBioMedicine 2024, 106, 105266. [CrossRef]
  46. Vermes, K. FDA Approves Investigational New Drug Application for Ceramide NanoLiposome. Pharmacy Times 2017, January 14.
  47. Kubarek, D. FDA Approves Investigational New Drug Application for Ceramide NanoLiposome. Penn State News 2017, June 29.
  48. Arcturus Therapeutics. Arcturus' Pipeline of mRNA Medicines and Vaccines. Arcturus Therapeutics 2025.
  49. New Drug Approvals. ARCT-021 (LUNAR-COV19). New Drug Approvals 2021, June 26.
  50. Nanobiotix. Pipeline Overview—NBTXR3 in the Clinic. Nanobiotix 2025.
  51. Voss, M. H.; Hussain, A.; Vogelzang, N.; Lee, J. L.; Keam, B.; Rha, S. Y.; Vaishampayan, U.; Harris, W. B.; Richey, S.; Randall, J. M.; Shaffer, D.; Cohn, A.; Crowell, T.; Li, J.; Senderowicz, A.; Stone, E.; Figlin, R.; Motzer, R. J.; Haas, N. B.; Hutson, T. A Randomized Phase II Trial of CRLX101 in Combination with Bevacizumab versus Standard of Care in Patients with Advanced Renal Cell Carcinoma. Ann. Oncol. 2017, 28(11), 2754–2760. [CrossRef]
  52. Hamaguchi, T.; Tsuji, A.; Yamaguchi, K.; Takeda, K.; Uetake, H.; Esaki, T.; Amagai, K.; Sakai, D.; Baba, H.; Kimura, M.; Matsumura, Y.; Tsukamoto, T. A phase II study of NK012, a polymeric micelle formulation of SN-38, in unresectable, metastatic or recurrent colorectal cancer patients. Cancer Chemother. Pharmacol. 2018, 82(6), 1021–1029.
  53. Szota, M.; Szwedowicz, U.; Rembialkowska, N.; Janicka-Klos, A.; Doveiko, D.; Chen, Y.; Kulbacka, J.; Jachimska, B. Dendrimer Platforms for Targeted Doxorubicin Delivery—Physicochemical Properties in Context of Biological Responses. Int. J. Mol. Sci. 2024, 25(13), 7201.
  54. Innovation Pharmaceuticals Inc. Stages of Development. Available online: http://www.ipharminc.com/stages-of-development/ (accessed on 22 July 2025).
  55. National Cancer Institute. A Phase I Study of [177Lu]Lu-FF58 in Patients With Advanced Solid Tumors. Available online: https://www.cancer.gov/clinicaltrials/NCI-2024-03006 (accessed on 22 July 2025).
  56. O’Flaherty, R.; Bergin, A.; Flampouri, E.; Mota, L.; Obaidi, H.; Quigley, A.; Fagan, A.; Barron, N.; Clynes, M. Mammalian Cell Culture for Production of Recombinant Proteins: A Review of the Critical Steps in Their Biomanufacturing. Biotechnol. Adv. 2020, 43(1), 107552.
  57. Vavilis, T.; Stamoula, E.; Ainatzoglou, A.; Sachinidis, A.; Lamprinou, M.; Dardalas, I.; Vizirianakis, I.S. mRNA in the Context of Protein Replacement Therapy. Pharmaceutics 2023, 15(1), 166. [CrossRef]
  58. Kashte, S.; Gulbake, A.; El-Amin III, S.F.; Gupta, A. COVID-19 Vaccines: Rapid Development, Implications, Challenges and Prospects. Hum. Cell 2021, 34(3), 711–733.
  59. Sayour, E.J.; Boczkowski, D.; Mitchell, D.A.; Nair, S.K. Cancer mRNA Vaccines: Clinical Advances and Future Opportunities. Nat. Rev. Clin. Oncol. 2024, 21(7), 489–500.
  60. Zeng, C.; Zhang, C.; Walker, P.G.; Dong, Y. Formulation and Delivery Technologies for mRNA Vaccines. In: Yu, D.; Petsch, B. (Eds.) mRNA Vaccines. Curr. Top. Microbiol. Immunol. 2020, 440, 71–110.
  61. Wadhwa, A.; Aljabbari, A.; Lokras, A.; Foged, C.; Thakur, A. Opportunities and Challenges in the Delivery of mRNA-Based Vaccines. Pharmaceutics 2020, 12(2), 102. [CrossRef]
  62. Qureischi, M.; Mohr, J.; Arellano-Viera, E.; Knudsen, S.E.; Vohidov, F.; Garitano-Trojaola, A. mRNA-Based Therapies: Pre-Clinical and Clinical Applications. Int. Rev. Cell Mol. Biol. 2022, 372, 1–54.
  63. Eralp, Y. Application of mRNA Technology in Cancer Therapeutics. Vaccines 2022, 10(8), 1262. [CrossRef]
  64. Hajj, K.A.; Whitehead, K.A. Tools for Translation: Non-Viral Materials for Therapeutic mRNA Delivery. Nat. Rev. Mater. 2017, 2, 17056.
  65. Jackson, N.A.C.; Kester, K.E.; Casimiro, D.; Gurunathan, S.; DeRosa, F. The Promise of mRNA Vaccines: A Biotech and Industrial Perspective. NPJ Vaccines 2020, 5, 11.
  66. Yang, W.; Mixich, L.; Boonstra, E.; Cabral, H. Polymer-Based mRNA Delivery Strategies for Advanced Therapies. Adv. Healthc. Mater. 2023, 12(15), e2202688.
  67. Mali, S. Delivery Systems for Gene Therapy. Indian J. Hum. Genet. 2013, 19(1), 3–8.
  68. Kim, T.K.; Eberwine, J.H. Mammalian Cell Transfection: The Present and the Future. Anal. Bioanal. Chem. 2010, 397(8), 3173–3178.
  69. Akinc, A.; Maier, M.A.; Manoharan, M.; Fitzgerald, K.; Jayaraman, M.; Barros, S.; Ansell, S.; Du, X.; Hope, M.J.; Madden, T.D.; Mui, B.L.; Semple, S.C.; Tam, Y.K.; Ciufolini, M.; Witzigmann, D.; Kulkarni, J.A.; van der Meel, R.; Cullis, P.R. The Onpattro Story and the Clinical Translation of Nanomedicines Containing Nucleic Acid-Based Drugs. Nat. Nanotechnol. 2019, 14(12), 1084–1087. [CrossRef]
  70. Wei, T.; Cheng, Q.; Min, Y.-L.; Olson, E.N.; Siegwart, D.J. Systemic Nanoparticle Delivery of CRISPR-Cas9 Ribonucleoproteins for Effective Tissue Specific Genome Editing. Nat. Commun. 2020, 11, 3232.
  71. Kenjo, E.; Hozumi, H.; Makita, Y.; Iwabuchi, K.A.; Fujimoto, N.; Matsumoto, S.; Kimura, M.; Amano, Y.; Ifuku, M.; Naoe, Y.; Inukai, N.; Hotta, A. Low Immunogenicity of LNP Allows Repeated Administrations of CRISPR-Cas9 mRNA into Skeletal Muscle in Mice. Nat. Commun. 2021, 12, 7101. [CrossRef]
  72. Li, Y.; Tenchov, R.; Smoot, J.; Liu, C.; Watkins, S.; Zhou, Q. A Comprehensive Review of the Global Efforts on COVID-19 Vaccine Development. ACS Cent. Sci. 2021, 7(4), 512–533. [CrossRef]
  73. Zhang, X.; Zhao, W.; Nguyen, G.N.; Zhang, C.; Zeng, C.; Yan, J.; Du, S.; Hou, X.; Li, W.; Jiang, J.; Deng, B.; McComb, D.W.; Dorkin, R.; Shah, A.; Barrera, L.; Gregoire, F.; Singh, M.; Chen, D.; Sabatino, D.E.; Dong, Y. Functionalized Lipid-Like Nanoparticles for In Vivo mRNA Delivery and Base Editing. Sci. Adv. 2020, 6(34), eabc2315.
  74. Del Toro Runzer, C.; Anand, S.; Mota, C.; Moroni, L.; Plank, C.; Van Griensven, M.; Balmayor, E.R. Cellular Uptake of Modified mRNA Occurs via Caveolae-Mediated Endocytosis, Yielding High Protein Expression in Slow-Dividing Cells. Mol. Ther. Nucleic Acids 2023, 32, 960–979. [CrossRef]
  75. Cardarelli, F.; Digiacomo, L.; Marchini, C.; Amici, A.; Salomone, F.; Fiume, G.; Rossetta, A.; Gratton, E.; Pozzi, D.; Caracciolo, G. The Intracellular Trafficking Mechanism of Lipofectamine-Based Transfection Reagents and Its Implication for Gene Delivery. Sci. Rep. 2016, 6, 25879.
  76. Diorio, C.; Teachey, D.T.; Grupp, S.A. Allogeneic Chimeric Antigen Receptor Cell Therapies for Cancer: Progress Made and Remaining Roadblocks. Nat. Rev. Clin. Oncol. 2025, 22(1), 10–27.
  77. Maakaron, J.E.; Hu, M.; El-Jurdi, N. Chimeric Antigen Receptor T Cell Therapy for Cancer: Clinical Applications and Practical Considerations. BMJ 2022, 378, e068956.
  78. Cappell, K.M.; Kochenderfer, J.N. Long-Term Outcomes Following CAR T Cell Therapy: What We Know So Far. Nat. Rev. Clin. Oncol. 2023, 20(6), 359–371. [CrossRef]
  79. Jamour, P.; Jamali, A.; Langeroudi, A.G.; Sharafabad, B.E.; Abdoli, A. Comparing Chemical Transfection, Electroporation, and Lentiviral Vector Transduction to Achieve Optimal Transfection Conditions in the Vero Cell Line. BMC Mol. Cell Biol. 2024, 25(1), 15.
  80. Rahimmanesh, I.; Totonchi, M.; Khanahmad, H. The Challenging Nature of Primary T Lymphocytes for Transfection: Effect of Protamine Sulfate on the Transfection Efficiency of Chemical Transfection Reagents. Res. Pharm. Sci. 2020, 15(5), 437–446. [CrossRef]
  81. Balke-Want, H.; Keerthi, V.; Cadinanos-Garai, A.; Fowler, C.; Gkitsas, N.; Brown, A.K.; Tunuguntla, R.; Abou-El-Enein, M.; Feldman, S.A. Non-Viral Chimeric Antigen Receptor (CAR) T Cells Going Viral. Immuno-Oncol. Technol. 2023, 18, 100375.
  82. VanderBurgh JA, Corso TN, Levy SL. et al. Scalable continuous-flow electroporation platform enabling T cell transfection for cellular therapy manufacturing. Sci Rep. (2023) 13:6857. [CrossRef]
  83. Kitte, R.; Rabel, M.; Geczy, R.; Park, S.; Fricke, S.; Koehl, U.; Tretbar, U.S. Lipid nanoparticles outperform electroporation in mRNA-based CAR T cell engineering. Mol. Ther. Methods Clin. Dev. 2023, 31, 101139.
  84. Dhayalan, M.; Wang, W.; Riyaz, S.U.M.; Dinesh, R.A.; Shanmugam, J.; Irudayaraj, S.S.; Stalin, A.; Giri, J.; Mallik, S.; Hu, R. Advances in functional lipid nanoparticles: from drug delivery platforms to clinical applications. 3 Biotech 2024, 14(2), 57.
  85. Uslu, U.; June, C.H. Beyond the blood: expanding CAR T cell therapy to solid tumors. Nat. Biotechnol. 2024. [CrossRef]
  86. Giulimondi, F.; Digiacomo, L.; Renzi, S.; Cassone, C.; Pirrottina, A.; et al. Optimizing transfection efficiency in CAR-T cell manufacturing through multiple administrations of lipid-based nanoparticles. ACS Appl. Bio Mater. 2024, 7(6), 3746–3757.
  87. Bui, T.A.; Mei, H.; Sang, R.; Ortega, D.G.; Deng, W. Advances and challenges in developing in vivo CAR T cell therapies for cancer treatment. eBioMedicine 2024, 106, 105266.
  88. Li, J.; Chen, P.; Ma, W. The next frontier in immunotherapy: potential and challenges of CAR-macrophages. Exp. Hematol. Oncol. 2024, 13(1), 76. [CrossRef]
  89. Kohn, D.B.; Chen, Y.Y.; Spencer, M.J. Successes and challenges in clinical gene therapy. Gene Ther. 2023, 30(10–11), 738–746.
  90. Cring, M.R.; Sheffield, V.C. Gene therapy and gene correction: targets, progress, and challenges for treating human diseases. Gene Ther. 2022, 29(1–2), 3–12.
  91. Liu, F.; Li, R.; Zhu, Z.; Yang, Y.; Lu, F. Current developments of gene therapy in human diseases. MedComm 2024, 5(9), e645. [CrossRef]
  92. Konda, P.; Garinet, S.; Van Allen, E.M.; Viswanathan, S.R. Genome-guided discovery of cancer therapeutic targets. Cell Rep. 2023, 42(8), 112978.
  93. Chu, X.; Tian, W.; Ning, J.; Xiao, G.; Zhou, Y.; Wang, Z.; Zhai, Z.; Tanzhu, G.; Yang, J.; Zhou, R. Cancer stem cells: advances in knowledge and implications for cancer therapy. Signal Transduct. Target Ther. 2024, 9(1), 170.
  94. Zu, H.; Gao, D. Non-viral vectors in gene therapy: recent development, challenges, and prospects. AAPS J. 2021, 23, 78.
  95. Liu, B.; Zhou, H.; Tan, L.; et al. Exploring treatment options in cancer: tumor treatment strategies. Signal Transduct. Target Ther. 2024, 9, 175. [CrossRef]
  96. Wells-Holland, C.; Elfick, A. Transfection reflections: fit-for-purpose delivery of nucleic acids. Nat. Rev. Mol. Cell Biol. 2023, 24(11), 771–772.
  97. Hou, X.; Zaks, T.; Langer, R.; et al. Lipid nanoparticles for mRNA delivery. Nat. Rev. Mater. 2021, 6, 1078–1094.
  98. Wang, B.; Shen, B.; Xiang, W.; et al. Advances in the study of LNPs for mRNA delivery and clinical applications. Virus Genes 2024, 60, 577–591. [CrossRef]
  99. Chen, L.; Hong, W.; Ren, W.; et al. Recent progress in targeted delivery vectors based on biomimetic nanoparticles. Signal Transduct. Target Ther. 2021, 6, 225.
  100. Hu, B.; Zhong, L.; Weng, Y.; et al. Therapeutic siRNA: state of the art. Signal Transduct. Target Ther. 2020, 5, 101. [CrossRef]
  101. Collotta, D.; Bertocchi, I.; Chiapello, E.; Collino, M. Antisense oligonucleotides: a novel frontier in pharmacological strategy. Front. Pharmacol. 2023, 14, 1304342.
  102. Kulkarni, J.A.; Witzigmann, D.; Thomson, S.B.; et al. The current landscape of nucleic acid therapeutics. Nat. Nanotechnol. 2021, 16, 630–643. [CrossRef]
  103. Zhu, Y.; Zhu, L.; Wang, X.; et al. RNA-based therapeutics: an overview and prospectus. Cell Death Dis. 2022, 13, 644. [CrossRef]
  104. Alshaer, E.; Zureigat, H.; Karaki, A.A.; et al. siRNA: mechanism of action, challenges, and therapeutic approaches. Eur. J. Pharmacol. 2021, 905, 174178.
  105. Chemello, F.; Chai, A.C.; Li, H.; Rodriguez-Caycedo, C.; Sanchez-Ortiz, E.; Atmanli, A.; Mireault, A.A.; Liu, N.; Bassel-Duby, R.; Olson, E.N. Precise correction of Duchenne muscular dystrophy exon deletion mutations by base and prime editing. Sci. Adv. 2021, 7(18), eabg4910.
  106. McDowall, S.; Aung-Htut, M.; Wilton, S.; Li, D. Antisense oligonucleotides and their applications in rare neurological diseases. Front. Neurosci. 2024, 18, 1414658. [CrossRef]
  107. Sang, A.; Zhuo, S.; Bochanis, A.; et al. Mechanisms of action of the US Food and Drug Administration-approved antisense oligonucleotide drugs. BioDrugs 2024, 38, 511–526.
  108. Chen, S.; Heendeniya, S.N.; Le, B.T.; et al. Splice-modulating antisense oligonucleotides as therapeutics for inherited metabolic diseases. BioDrugs 2024, 38, 177–203. [CrossRef]
  109. Lim, K.H.; Han, Z.; Jeon, H.Y.; et al. Antisense oligonucleotide modulation of non-productive alternative splicing upregulates gene expression. Nat. Commun. 2020, 11, 3501. [CrossRef]
  110. Rinaldi, C.; Wood, M. Antisense oligonucleotides: the next frontier for treatment of neurological disorders. Nat. Rev. Neurol. 2018, 14, 9–21. [CrossRef]
  111. Ponti, F.; Campolungo, M.; Melchiori, C.; Bono, N.; Candiani, G. Cationic lipids for gene delivery: many players, one goal. Chem. Phys. Lipids 2021, 235, 105032.
  112. Aartsma-Rus, A.; Krieg, A.M. FDA approves eteplirsen for Duchenne muscular dystrophy: the next chapter in the eteplirsen saga. Nucleic Acid Ther. 2017, 27(1), 1–3.
  113. Cullis, P.R.; Felgner, P.L. The 60-year evolution of lipid nanoparticles for nucleic acid delivery. Nat. Rev. Drug Discov. 2024, 23, 709–722.
  114. Lei, J.; Qi, S.; Yu, X.; Gao, X.; Yang, K.; Zhang, X.; Cheng, M.; Bai, B.; Feng, Y.; Lu, M.; Wang, Y.; Li, H.; Yu, G. Development of mannosylated lipid nanoparticles for mRNA cancer vaccine with high antigen presentation efficiency and immunomodulatory capability. Angew. Chem. Int. Ed. Engl. 2024, 63(13), e202318515. [CrossRef]
  115. Haque, M.A.; Shrestha, A.; Mikelis, C.M.; Mattheolabakis, G. Comprehensive analysis of lipid nanoparticle formulation and preparation for RNA delivery. Int. J. Pharm. X 2024, 8, 100283.
  116. Liu, Y.; Huang, Y.; He, G.; Guo, C.; Dong, J.; Wu, L. Development of mRNA lipid nanoparticles: targeting and therapeutic aspects. Int. J. Mol. Sci. 2024, 25(18), 10166. [CrossRef]
  117. Lauffer, M.C.; van Roon-Mom, W.; Aartsma-Rus, A.; N = 1 Collaborative. Possibilities and limitations of antisense oligonucleotide therapies for the treatment of monogenic disorders. Commun. Med. (Lond.) 2024, 4(1), 6.
  118. Amiri, A.; Barreto, G.; Sathyapalan, T.; Sahebkar, A. siRNA therapeutics: future promise for neurodegenerative diseases. Curr. Neuropharmacol. 2021, 19(11), 1896–1911. [CrossRef]
  119. Baylot, V.; Le, T.K.; Taïeb, D.; et al. Between hope and reality: treatment of genetic diseases through nucleic acid-based drugs. Commun. Biol. 2024, 7, 489.
  120. Sun, J.; Roy, S. Gene-based therapies for neurodegenerative diseases. Nat. Neurosci. 2021, 24, 297–311. [CrossRef]
  121. García-González, N.; Gonçalves-Sánchez, J.; Gómez-Nieto, R.; Gonçalves-Estella, J.M.; López, D.E. Advances and challenges in gene therapy for neurodegenerative diseases: a systematic review. Int. J. Mol. Sci. 2024, 25(23), 12485. [CrossRef]
  122. Horch, R.E.; Kneser, U.; Polykandriotis, E.; Schmidt, V.J.; Sun, J.; Arkudas, A. Tissue engineering and regenerative medicine—where do we stand? J. Cell. Mol. Med. 2012, 16(6), 1157–1165.
  123. Aljabali, A.A.A.; Mohamed, E.-T.; Murtaza, M.T. Principles of CRISPR-Cas9 technology: advances in genome editing and emerging trends in drug delivery. J. Drug Deliv. Sci. Technol. 2024, 92, 105338.
  124. Li, Z.H.; Wang, J.; Xu, J.P.; Wang, J.; Yang, X. Recent advances in CRISPR-based genome editing technology and its applications in cardiovascular research. Mil. Med. Res. 2023, 10(1), 12.
  125. Moffat, J.; Komor, A.C.; Lum, L. Impact of CRISPR in cancer drug discovery. Science 2024, 386(6720), 378–379. [CrossRef]
  126. Sampogna, G.; Guraya, S.Y.; Forgione, A. Regenerative medicine: historical roots and potential strategies in modern medicine. J. Microsc. Ultrastruct. 2015, 3(3), 101–107.
  127. Yanez Arteta, M.; Kjellman, T.; Bartesaghi, S.; Wallin, S.; Wu, X.; Kvist, A.J.; Dabkowska, A.; Székely, N.; Radulescu, A.; Bergenholtz, J.; Lindfors, L. Successful reprogramming of cellular protein production through mRNA delivered by functionalized lipid nanoparticles. Proc. Natl. Acad. Sci. USA 2018, 115(15), E3351–E3360.
  128. Xiong, Y.; Mi, B.B.; Shahbazi, M.A.; Xia, T.; Xiao, J. Microenvironment-responsive nanomedicines: a promising direction for tissue regeneration. Mil. Med. Res. 2024, 11(1), 69.
  129. Wang, C.; Pan, C.; Yong, H.; et al. Emerging non-viral vectors for gene delivery. J. Nanobiotechnol. 2023, 21, 272. [CrossRef]
  130. Zu, H.; Gao, D. Non-viral vectors in gene therapy: recent development, challenges, and prospects. AAPS J. 2021, 23, 78. [CrossRef]
  131. Buntz, B. 100 cell and gene therapy leaders to watch in 2025. Drug Discov. Dev. 2024.
  132. Adam, J. Eight biotech companies advancing the field of siRNA. Labiotech 2024.
  133. DelveInsight Business Research LLP. 80+ pharma companies unite to shape the future of RNA-based drugs. 2024.
  134. Buntz, B. 50 leading cell and gene therapy companies. Drug Discov. 2022.
  135. Knutsen, A. Nonviral platforms streamline gene therapy delivery. Genet. Eng. Biotechnol. News 2023, 43(9), 22–25. [CrossRef]
  136. Fu, Y.; Han, Z.; Cheng, W.; et al. Improvement strategies for transient gene expression in mammalian cells. Appl. Microbiol. Biotechnol. 2024, 108, 480.
  137. Zhao, Y.; Sampson, M.G.; Wen, X. Quantify and control reproducibility in high-throughput experiments. Nat. Methods 2020, 17, 1207–1213.
  138. Shin, H.; Park, S.-J.; Yim, Y.; Kim, J.; Choi, C.; Won, C.; Min, D.-H. Recent advances in RNA therapeutics and RNA delivery systems based on nanoparticles. Adv. Therap. 2018, 1, 1800065. [CrossRef]
  139. Rinoldi, C.; Zargarian, S.S.; Nakielski, P.; Li, X.; Liguori, A.; Petronella, F.; Presutti, D.; Wang, Q.; Costantini, M.; De Sio, L.; Gualandi, C.; Ding, B.; Pierini, F. Nanotechnology-assisted RNA delivery: from nucleic acid therapeutics to COVID-19 vaccines. Small Methods 2021, 5(9), e2100402.
  140. Cullis, P.R.; Felgner, P.L. The 60-year evolution of lipid nanoparticles for nucleic acid delivery. Nat. Rev. Drug Discov. 2024, 23, 709–722. [CrossRef]
  141. Herrera-Barrera, M.; Renee, C.R.; Gautam, M.; et al. Peptide-guided lipid nanoparticles deliver mRNA to the neural retina of rodents and nonhuman primates. Sci. Adv. 2023, 9, eadd4623.
  142. Kwon, M.; Firestein, B.L. DNA transfection: calcium phosphate method. Methods Mol. Biol. 2013, 1018, 107–110.
  143. Jens, C.; Susanne, H.; Schenk, E.P.; Pascal, D.; Ali, D.; Jörg, H. Polyethyleneimine (PEI) in gene therapy: current status and clinical applications. J. Control Release 2023, 362, 667–691.
  144. Cai, X.; Dou, R.; Guo, C.; Tang, J.; Li, X.; Chen, J.; Zhang, J. Cationic polymers as transfection reagents for nucleic acid delivery. Pharmaceutics 2023, 15(5), 1502. [CrossRef]
  145. Casper, J.; Schenk, S.H.; Parhizkar, E.; Detampel, P.; Dehshahri, A.; Huwyler, J. Polyethylenimine (PEI) in gene therapy: current status and clinical applications. J. Control Release 2023, 362, 667–691.
  146. Salameh, J.W.; Zhou, L.; Ward, S.M.; Santa Chalarca, C.F.; Emrick, T.; Figueiredo, M.L. Polymer-mediated gene therapy: recent advances and merging of delivery techniques. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2020, 2, e1598. [CrossRef]
  147. Johnsen, K.B.; et al. A comprehensive overview of exosomes as drug delivery vehicles—endogenous nanocarriers for targeted cancer therapy. Biochim. Biophys. Acta 2014, 1846, 75–87. [CrossRef]
  148. O'Brien, K.; et al. Exosomes and their role in immune regulation and cancer. Semin. Cell Dev. Biol. 2020, 102, 55–63.
  149. Villemejane, J.; Mir, L.M. Physical methods of nucleic acid transfer: general concepts and applications. Br. J. Pharmacol. 2009, 157(2), 207–219.
  150. Huang, S.; Henderson, T.R.; Dojo Soeandy, C.; Lezhanska, A.; Henderson, J.T. An efficient low-cost means of biophysical gene transfection in primary cells. Sci. Rep. 2024, 14(1), 13179. [CrossRef]
  151. Napotnik, T.B.; Tamara, P.; Damijan, M. Cell death due to electroporation – a review. Bioelectrochemistry 2021, 141.
  152. Lonez, C.; Lensink, M.F.; Kleiren, E.; Vanderwinden, J.M.; Ruysschaert, J.M.; Vandenbranden, M. Fusogenic activity of cationic lipids and lipid shape distribution. Cell. Mol. Life Sci. 2010, 67(3), 483–494.
  153. Narum, S.; Deal, B.; Ogasawara, H.; Mancuso, J.N.; Zhang, J.; Salaita, K. An endosomal escape Trojan horse platform to improve cytosolic delivery of nucleic acids. ACS Nano 2024, 18(8), 6186–6201. [CrossRef]
  154. Pei, D.; Buyanova, M. Overcoming endosomal entrapment in drug delivery. Bioconjug. Chem. 2019, 30(2), 273–283.
  155. Cavalcanti, R.R.M.; Lira, R.B.; Riske, K.A. Membrane fusion biophysical analysis of fusogenic liposomes. Langmuir 2022, 38(34), 10430–10441.
  156. Grau, M.; Wagner, E. Strategies and mechanisms for endosomal escape of therapeutic nucleic acids. Curr. Opin. Chem. Biol. 2024, 81, 102506. [CrossRef]
  157. Gandek, T.B.; van der Koog, L.; Nagelkerke, A. A comparison of cellular uptake mechanisms, delivery efficacy, and intracellular fate between liposomes and extracellular vesicles. Adv. Healthc. Mater. 2023, 12(25), e2300319.
  158. Tran, V.A.; Thuan Le, V.; Doan, V.D.; Vo, G.N.L. Utilization of functionalized metal-organic framework nanoparticle as targeted drug delivery system for cancer therapy. Pharmaceutics 2023, 15(3), 931. [CrossRef]
  159. Alavi, S.E.; Alavi, S.F.; Koohi, M.; et al. Nanoparticle-integrated metal–organic frameworks: a revolution in next-generation drug delivery systems. J. Pharm. Investig. 2024, 54, 751–783.
  160. Raza, A.; Wu, W. Metal-organic frameworks in oral drug delivery. Asian J. Pharm. Sci. 2024, 19(5), 100951.
  161. Wang, Z.; Kelley, S.O. Microfluidic technologies for enhancing the potency, predictability and affordability of adoptive cell therapies. Nat. Biomed. Eng. 2025. [CrossRef]
  162. Hur, J.; Chung, A.J. Microfluidic and nanofluidic intracellular delivery. Adv. Sci. 2021, 8, 2004595.
  163. Loo, J.; Sicher, I.; Goff, A.; et al. Microfluidic transfection of mRNA into human primary lymphocytes and hematopoietic stem and progenitor cells using ultra-fast physical deformations. Sci. Rep. 2021, 11, 21407.
  164. Teo, C. Created in BioRender. BioRender.com 2025. https://BioRender.com/ludvsnm.
  165. Gupta, A.; Andresen, J.L.; Manan, R.S.; Langer, R. Nucleic acid delivery for therapeutic applications. Adv. Drug Deliv. Rev. 2021, 178, 113834. [CrossRef]
  166. Pavlov, R.V.; Akimov, S.A.; Dashinimaev, E.B.; Bashkirov, P.V. Boosting lipofection efficiency through enhanced membrane fusion mechanisms. Int. J. Mol. Sci. 2024, 25(24), 13540.
  167. Mollé, L.M.; Smyth, C.H.; Yuen, D.; Johnston, A.P.R. Nanoparticles for vaccine and gene therapy: Overcoming the barriers to nucleic acid delivery. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2022, 14, e1809. [CrossRef]
  168. Hosseini, S.A.; Kardani, A.; Yaghoobi, H. A comprehensive review of cancer therapies mediated by conjugated gold nanoparticles with nucleic acid. Int. J. Biol. Macromol. 2023, 253, 127184.
  169. Wang, C.; Pan, C.; Yong, H.; Wang, F.; Bo, T.; Zhao, Y.; Ma, B.; He, W.; Li, M. Emerging non-viral vectors for gene delivery: Progress and challenges. J. Nanobiotechnol. 2023, 21, 272.
  170. Kim, J.; Eygeris, Y.; Ryals, R.C.; Jozić, A.; Sahay, G. Strategies for non-viral vectors targeting organs beyond the liver. Nat. Nanotechnol. 2024, 19(4), 428–447. [CrossRef]
  171. Simonsen, J.B. Lipid nanoparticle-based strategies for extrahepatic delivery of nucleic acid therapies—challenges and opportunities. J. Control Release 2024, 370, 763–772.
  172. Lee, S.; Chen, L.; Zhang, X. Non-Viral Gene Delivery Systems for Safe and Targeted Regenerative Therapies. J. Genet. Eng. 2025.
  173. Mann, Z.; Sengar, M.; Verma, Y.K.; Rajalingam, R.; Raghav, P.K. Hematopoietic stem cell factors: their functional role in self-renewal and clinical aspects. Front. Cell Dev. Biol. 2022, 10, 664261.
  174. Lee, H.; Rho, W.Y.; Kim, Y.H.; Chang, H.; Jun, B.H. CRISPR-Cas9 gene therapy: non-viral delivery and stimuli-responsive nanoformulations. Molecules 2025, 30(3), 542. [CrossRef]
  175. Campelo, S.N.; Huang, P.H.; Buie, C.R.; Davalos, R.V. Recent advancements in electroporation technologies: from bench to clinic. Annu. Rev. Biomed. Eng. 2023, 25, 77–100.
  176. Qin, S.; Tang, X.; Chen, Y.; et al. mRNA-based therapeutics: powerful and versatile tools to combat diseases. Signal Transduct. Target Ther. 2022, 7, 166.
  177. Lu, R.M.; Hsu, H.E.; Perez, S.J.L.P.; et al. Current landscape of mRNA technologies and delivery systems for new modality therapeutics. J. Biomed. Sci. 2024, 31, 89.
  178. Shen, G.; Liu, J.; Yang, H.; Xie, N.; Yang, Y. mRNA therapies: pioneering a new era in rare genetic disease treatment. J. Control Release 2024, 369, 696–721. [CrossRef]
  179. Iyer, V.R.; Kaduskar, B.D.; Moharir, S.C.; Mishra, R.K. mRNA biotherapeutics landscape for rare genetic disorders. J. Biosci. 2024, 49, 33.
  180. Wei, P.S.; Thota, N.; John, G.; Chang, E.; Lee, S.; Wang, Y.; Ma, Z.; Tsai, Y.H.; Mei, K.C. Enhancing RNA-lipid nanoparticle delivery: organ- and cell-specificity and barcoding strategies. J. Control Release 2024, 375, 366–388.
  181. Xu, X.; Xia, T. Recent advances in site-specific lipid nanoparticles for mRNA delivery. ACS Nanosci. Au 2023, 3(3), 192–203.
  182. Kowalski, P.S.; Rudra, A.; Miao, L.; Anderson, D.G. Delivering the messenger: advances in technologies for therapeutic mRNA delivery. Mol. Ther. 2019, 27(4), 710–728. [CrossRef]
  183. Shi, Y.; Shi, M.; Wang, Y.; You, J. Progress and prospects of mRNA-based drugs in pre-clinical and clinical applications. Signal Transduct. Target Ther. 2024, 9(1), 322. [CrossRef]
  184. Pardi, N.; Krammer, F. mRNA vaccines for infectious diseases—advances, challenges and opportunities. Nat. Rev. Drug Discov. 2024, 23(11), 838–861.
  185. Liu, C.; Shi, Q.; Huang, X.; Koo, S.; Kong, N.; Tao, W. mRNA-based cancer therapeutics. Nat. Rev. Cancer 2023, 23(8), 526–543.
  186. Kazemian, P.; Yu, S.Y.; Thomson, S.B.; Birkenshaw, A.; Leavitt, B.R.; Ross, C.J.D. Lipid-nanoparticle-based delivery of CRISPR/Cas9 genome-editing components. Mol. Pharm. 2022, 19(6), 1669–1686.
  187. Kirian, R.D.; Steinman, D.; Jewell, C.M.; Zierden, H.C. Extracellular vesicles as carriers of mRNA: opportunities and challenges in diagnosis and treatment. Theranostics 2024, 14(5), 2265–2289.
  188. Cecchin, R.; Troyer, Z.; Witwer, K.; Morris, K.V. Extracellular vesicles: the next generation in gene therapy delivery. Mol. Ther. 2023, 31(5), 1225–1230. [CrossRef]
  189. Murphy, D.E.; de Jong, O.G.; Brouwer, M.; et al. Extracellular vesicle-based therapeutics: natural versus engineered targeting and trafficking. Exp. Mol. Med. 2019, 51, 1–12.
  190. Ezzat, K.; Andaloussi, S.E.; Zaghloul, E.M.; et al. PepFect14, a novel cell-penetrating peptide for oligonucleotide delivery in vivo. Nucleic Acids Res. 2011, 39(12), 2163–2171.
  191. McErlean, E.M.; McCrudden, C.M.; McBride, J.W.; et al. Rational design and characterisation of an amphipathic cell-penetrating peptide for non-viral gene delivery. Int. J. Pharm. 2021, 596. [CrossRef]
  192. Sahin, U.; Karikó, K.; Türeci, Ö. mRNA-based therapeutics—developing a new class of drugs. Nat. Rev. Drug Discov. 2014, 13(10), 759–780.
  193. Simeoni, F.; Morris, M.C.; Heitz, F.; Divita, G. Insight into the mechanism of the peptide-based gene delivery system MPG: implications for delivery of siRNA. Nucleic Acids Res. 2003, 31(11), 2717–2724.
  194. Crombez, L.; Aldrian-Herrada, G.; Konate, K.; Nguyen, Q.N.; McMaster, G.K.; Brasseur, R.; Heitz, F.; Divita, G. A new potent secondary amphipathic cell-penetrating peptide for siRNA delivery into mammalian cells. Mol. Ther. 2009, 17(1), 95–103.
  195. Tao, W.; Zeng, X.; Liu, T.; Xiao, Q.; Wang, M.; Pan, Q.; Zhu, X. Emerging concepts of artificial intelligence for rational design of drug delivery systems. Adv. Drug Deliv. Rev. 2023, 195, 114762.
  196. Zhang, Y.; Sun, C.; Zhao, Y. AI-powered prediction of nanocarrier performance for gene therapy. Nano Today 2023, 48, 101716.
  197. Moseman, J.; Cheng, L.; Mao, H.-Q. Machine learning helps predict efficient lipid nanoparticle design. Johns Hopkins University Press Release 2025, March.
  198. Wu, K.; Wang, Z.; Yang, X.; Chen, Y.; Han, Z.; Zhang, J.; Liu, L. T. TransMA: an explainable deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. Preprint, 2024.
  199. Kim, M.J.; Lee, Y.; Kim, S.I.; Moon, H. AI-based integration of single-cell transcriptomics and nanocarrier engineering for targeted gene delivery. Small 2023, 19, e2207883.
  200. Lewoczko, E.; Dorsey, Z.; Zou, Y.; Chen, R.; et al. AI-GPT-driven design of novel lipid nanoparticles for targeted and safe mRNA-based cancer immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1. Cancer Res. 2025, 85(8_Suppl_1), Abstract nr 3761.
  201. Sharma, A.; Lysenko, A.; Jia, S.; et al. Advances in AI and machine learning for predictive medicine. J. Hum. Genet. 2024, 69, 487–497. [CrossRef]
  202. Singh, S.; Kumar, R.; Payra, S.; Singh, S.K. Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery. Cureus 2023, 15(8), e44359.
  203. Wu, K.; Wang, Z.; Yang, X.; Chen, Y.; Han, Z.; Zhang, J.; Liu, L. TransMA: An explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. arXiv 2024, arXiv:2407.05736.
  204. Xu, Y.; Ma, S.; Cui, H.; Chen, J.; Xu, S.; Gong, F.; Golubovic, A.; Zhou, M.; Wang, K.C.; Varley, A.; Lu, R.X.Z.; Wang, B.; Li, B. AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery. Nat. Commun. 2024, 15, 6305. [CrossRef]
  205. Zhou, Y.; Wang, Z.; Wu, K.; Yang, X.; Zhang, J.; Liu, L. Lipid nanoparticle structure–activity relationships for mRNA delivery: a data-driven approach. J. Control Release 2024, 382, 1–12.
  206. Wu, K.; Yang, X.; Wang, Z.; Li, N.; Zhang, J.; Liu, L. Data-balanced transformer for accelerated ionizable lipid nanoparticles screening in mRNA delivery. Brief. Bioinform. 2024, 25(3), bbae186. [CrossRef]
Figure 1. Overview of Non-Viral Gene Delivery: Liposomes: Encapsulate genetic material for delivery; Lipid Nanoparticles: Protect and deliver genes efficiently; Polymeric Nanoparticles: Condense DNA/RNA for delivery; Dendrimers: Branched polymers for gene delivery; Cationic Polymers: Bind and protect genetic material; Peptides: Facilitate targeted gene delivery.
Figure 1. Overview of Non-Viral Gene Delivery: Liposomes: Encapsulate genetic material for delivery; Lipid Nanoparticles: Protect and deliver genes efficiently; Polymeric Nanoparticles: Condense DNA/RNA for delivery; Dendrimers: Branched polymers for gene delivery; Cationic Polymers: Bind and protect genetic material; Peptides: Facilitate targeted gene delivery.
Preprints 170282 g001
Figure 2. Transfection Driving Therapeutic Development: mRNA-Based Therapies: Instruct cells to produce therapeutic proteins; CAR-T Cell Therapy: Modify T cells to target cancer; Gene Therapy: Alter genes to treat disorders; siRNA: Silence genes to prevent harmful proteins; Regenerative Medicine: Promote tissue repair and regeneration.
Figure 2. Transfection Driving Therapeutic Development: mRNA-Based Therapies: Instruct cells to produce therapeutic proteins; CAR-T Cell Therapy: Modify T cells to target cancer; Gene Therapy: Alter genes to treat disorders; siRNA: Silence genes to prevent harmful proteins; Regenerative Medicine: Promote tissue repair and regeneration.
Preprints 170282 g002
Table 1. Non-viral gene delivery systems in clinical trials [37,38,39,40,41,42,43,44,45].
Table 1. Non-viral gene delivery systems in clinical trials [37,38,39,40,41,42,43,44,45].
Description Applications Clinical Trials
(ClinicalTrials.gov)
References
Liposomes Targeted cancer therapy-Solid Tumors NanoLiposome- Phase 1
(NCT02834611 | Card Results | ClinicalTrials.gov)
Keystone Nano [46,47]
Lipid Nanoparticles (LNPs) mRNA-based enzyme replacement ARCT-810- Phase 1 (NCT04416126 | Card Results | ClinicalTrials.gov)
ARCT-032 -Phase 2
(NCT06747858 | Card Results | ClinicalTrials.gov)
Arcturus Therapeutics [48,49]
Infectious disease vaccine-COVID-19 mRNA Vaccine ARCT-021- Phase 2
(NCT04480957 | Card Results | ClinicalTrials.gov)
Polymeric Nanoparticles Radiation enhancer for cancer NBTXR3-Phase 1/2/3
(NCT05039632 | Card Results | ClinicalTrials.gov)
Nanobiotix [50]
Tumor-targeted chemotherapy CRLX101- Phase 1/2a
(NCT02187302 | Card Results | ClinicalTrials.gov)
Lumos Pharma [51]
Nanoparticle drug delivery-Triple-negative Breast Cancer, Small Cell Lung Cancer NK012-Phase 2
(NCT00951054 | Card Results | ClinicalTrials.gov)
Nippon Kayaku [52]
Dendrimers Cancer therapy DEP SN38: (Clinical Trials register - Search for DEP SN38) StarPharma [53]
Cationic Polymers (e.g., PEI) Antimicrobial therapy Brilacidin- Phase 2a
(NCT02052388 | Card Results | ClinicalTrials.gov)
Innovation Pharmaceuticals [54]
Peptide Metastatic tumors 177Lu-Integrin-Phase 1
(Study Details | Study to Evaluate the Safety and Activity (Including Distribution) of 177Lu-3BP-227 in Subjects With Solid Tumours Expressing Neurotensin Receptor Type 1. | ClinicalTrials.gov)
PeptiDream [55]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated