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Isolation, Expansion and Characterization of Rat Hair Follicle Stem Cells

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31 October 2024

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01 November 2024

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Abstract
Stem cells are capable of self-renewal and differentiation into various specialized cells, making them a potential therapeutic option in regenerative medicine. This study establishes a comprehensive methodology for isolating, culturing, and characterizing rat hair follicle stem cells. Hair follicles were harvested from Sprague–Dawley rats and subjected to two different isolation techniques. Immunohistochemical analysis and real-time PCR confirm the expression of specific surface markers and genes, validating the cells' identity. Growth kinetics, colony formation units (CFU) and tri-differentiation capacity were also assessed. Additionally, the cells secretome was furthermore analyzed regarding its content in biofactors with wound healing properties. These findings highlight the potential of these cells as a valuable cell source for skin regeneration applications. They contribute to advancing our understanding of stem cell applications in regenerative medicine and hold promise for therapeutic interventions in various clinical contexts, aligning with broader research on the diverse capabilities of hair follicle stem cells.
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1. Introduction

The skin, the body’s largest organ, performs numerous essential functions, acting as a protective barrier against dehydration, a sensory and thermoregulatory organ, and a site for vitamin D synthesis and immune defense. It comprises the epidermis, morphologically organized into layers reflecting the terminal differentiation of keratinocytes, and the dermis [1,2,3].
Skin wound healing is a highly organized process responsible for the restoration of tissue integrity and function. However, disruptions in this process can lead to the development of non-healing chronic wounds. Various factors and conditions, such as vascular issues, diabetes, trauma, advanced age, and local pressure effects, can delay wound healing. Additional local factors like tissue hypoxia, infection, and disrupted inflammatory responses, along with systemic factors like compromised nutritional or immune status, can also impair the healing process. The increasing prevalence of concomitant diseases, such as diabetes and vascular complications, contributes to the global challenge of chronic wound healing, with significant management costs [1,4].
In adult wound healing, the predominant forms of repair involve fibrosis and scar formation, instead of regeneration. A coordinated interplay of various cell types, growth factors, and cytokines is essential for wound closure [5].
In recent years, regenerative medicine has gained increasing significance as an alternative to conventional therapies in several different diseases lacking effective treatment. There has been an increased effort to identify alternative therapeutic sources such as stem cells and their derivates, which are easily accessible, safe, stable, and have great pro-regenerative potential [6,7].
The skin’s repair and regenerative capabilities are closely tied to the presence of stem cells. Currently, there is no consensus on the specific type, density, and function of skin stem cells. Nevertheless, it has been demonstrated that skin stem cells, particularly hair follicle stem cells (HFSCs) located in the hair follicle bulge, may serve as crucial sources for skin regeneration, metabolism, and wound repair [8,9]. Stem cells are crucial for the maintenance and regeneration of both the epidermis and hair follicles, with epidermal stem cells demonstrating the ability to sustain tissue homeostasis, self-renew, and contribute to wound repair [1].
HFSCs not only contribute to the development of hair follicles but also accelerate wound healing. In general, a higher abundance of residual skin stem cells on a wound surface is associated with faster healing and reduced scar formation. For instance, the scalp is often utilized as a skin donor site in clinical practice due to its substantial reservoir of stem cells capable of regeneration and repair. However, in deep wounds, scar hyperplasia may occur after healing, as most skin stem cells are lost [8,9].
The skin harbors various stem cells with multilineage differentiation potentials. Theoretically, skin stem cells can facilitate physiological healing in any wound. Yet, in deep wounds affecting skin appendages, the remaining skin stem cells may struggle to undergo normal differentiation, hindering the completion of anatomical structure and functional skin repair. This may result in uncontrolled healing processes, ultimately forming scar tissues without essential components such as hair and sweat glands. The outcome of wound healing is not solely determined by the number of skin stem cells but also by their differentiation behaviors [8,9].
Stem cells have demonstrated significant efficacy in animal experiments and clinical studies for various diseases, due to their multilineage differentiation potentials, anti-inflammatory properties, paracrine functions, and other biological capabilities [10,11,12,13,14]. In recent years, the application of different stem cell types in treating wounds has gained recognition. In both systemic and local implantation in animals with refractory wounds, stem cells have shown potential to differentiate into keratinocytes, sebaceous glands, and other skin appendages, contributing to wound healing. Despite these therapeutic effects, the precise mechanism of action of epidermal stem cells in wound healing remains poorly understood [8].
Most adult mammalian skin is covered with hair, and within the hair follicles are specialized cells known as HFSCs. Located in the bulge region of the outer root sheath, these cells serve as a reservoir, generating transient amplifying cells that are crucial for producing diverse cell types during hair follicle regeneration (Figure 1). Additionally, these versatile stem cells play a role in repairing the epidermis during the process of wound healing [15].
They have recently garnered attention as a promising stem cell source for regenerative medicine due to their ready availability and favorable tissue location. These cells have shown cloning capacity and regenerative potential in vitro, as well as the ability not only to differentiate into hair follicles but also into various cell types, including nerve cells, smooth muscle cells, epithelial cells, sebaceous glands, sweat glands, and epidermis. Abundantly present in the skin and hair follicles, autologous HFSCs can be easily isolated from patients, and the harvesting process has not been associated with serious complications [16,17,18].
HFSCs offer several advantages, such as easy accessibility, simple culture and expansion processes, the absence of MHC class I expression (reducing the likelihood of graft rejection), high proliferative capacity, multipotential properties, and the potential for autologous use without side effects. Furthermore, HFSCs share a common ectodermal embryonic origin with skin keratinocytes, making them potentially more effective in cell therapy for cutaneous wound healing [19].
The use of secretome therapies, harnessing the diverse range of bioactive molecules produced and secreted by cells, offers significant advantages in wound healing by modulating inflammation, tissue repair, and remodeling [20,21,22,23].
Irons et al. demonstrated that adipose-derived stem cells, endothelial-differentiated adipose-derived stem cells, and their secretomes significantly improved diabetic skin regeneration in a swine model by promoting angiogenesis and reducing inflammation [24].
Heo et al. showed that TNF-α activated adipose-derived stem cells secretome accelerated wound closure, enhanced angiogenesis, promoted cell proliferation, and increased the infiltration of immune cells into cutaneous wounds in a rat excisional model [25].
Suzdaltseva et al. demonstrated the efficacy of umbilical cord-derived mesenchymal stem cells in a human clinical trial of chronic wound regeneration, with improvements in granulation tissue growth, blood microcirculation, and wound size reduction [26].
These molecules collectively contribute to the effectiveness of secretome-based therapies in promoting wound healing and tissue regeneration [22,27,28].
The aim of this study was to provide a detailed description of the techniques used in the isolation, culture, expansion, cryopreservation and thawing processes of rat derived HFSCs. In addition, cell characterization was conducted, encompassing cell behavior in culture, exploration of cell genetic expression, identification of specific cell surface proteins, assessment of multilineage differentiation capacity, colony formation ability, cytogenetic analysis and secretome characterization. For the first time, a comprehensive methodology was established for these processes in rat HFSCs (rHFSCs). These findings contribute to advancing the understanding of stem cells in regenerative medicine, offering potential therapeutic interventions specifically in skin regeneration and wound healing. Moreover, these results align with broader research exploring the diverse capabilities inherent in hair follicle stem cells and their potential in regenerative medicine.

2. Materials and Methods

All experiments involving animals were conducted in strict accordance with ethical guidelines and were granted approval by the Organism Responsible for Animal Welfare (ORBEA) at the Abel Salazar Institute for Biomedical Sciences (ICBAS) of the University of Porto (UP). Additionally, approval was obtained from the Veterinary Authorities of Portugal (DGAV). All animal procedures adhered to the principles outlined in Directive 2010/63/EU of the European Parliament and the Portuguese DL 113/2013. The study also followed the recommendations set forth in the OECD Guidance Document on the Recognition, Assessment, and Use of Clinical Signs as Humane Endpoints for Experimental Animals Used in Safety Evaluation (2000).
Four male Sprague Dawley rats (Charles River, Barcelona, Spain), aged 8-10 weeks, with a body weight ranging from 200-300g, were used for obtaining the sample tissue. In line with the 3 R’s principle (Replacement, Reduction and Refinement), and in collaboration with other research endeavors within the group, animals that were sacrificed in the context of other assays were reused to collect vibrissae, and no animals were sacrificed specifically for this work. The trials in which these animals participated did not directly or indirectly affect the vibrissae region. Animals were pre-anesthetized with intraperitoneal administration of xylazine (Rompun®, 1.25mg/g) and Ketamine (Imalgene 1000®, 9mg/100 g) in a single administration. Euthanasia was carried out using a chemical method involving an anesthetic overdose with pentobarbital sodium (Eutasil® 200mg/ml injectable solution, Ceva Santé Animale, 200mg/kg) administered intraperitoneally. This approach was undertaken to minimize pain and discomfort, aligning with humane endpoints for mitigating animal suffering and distress.

2.1. Mitomycin C Concentration Determination Assay with L929 Cells

The L929 cells were seeded in 12 well-plates at 6000 cells/cm2 to ensure 70-80% confluency by the time of the assay (18000 cells/cm2). The mitomycin C stock solution was prepared by dissolving mitomycin C powder (10107409001, Roche®) in sterile distilled water (0.5 mg/mL). Then, the stock solution was diluted to create working solutions with concentrations of 10 µg/mL, 20 µg/mL, 30 µg/mL, and 40 µg/mL in cell culture medium. The culture medium was removed from each well and fresh medium containing the desired mitomycin C concentration (10 µg/mL, 20 µg/mL, 30 µg/mL, or 40 µg/mL) was added to the respective wells. Then, the cells were incubated at 37°C for 3 hours (Timepoint 1) and 24 hours (Timepoint 2). At Timepoint 1 (3 hours post-treatment) and Timepoint 2 (24 hours post-treatment), cell viability and cell number were determined using Trypan Blue staining.

2.2. Preparation of the Complete Culture Medium

The complete culture medium was meticulously prepared within a sterile laminar flow hood. Initially, DMEM containing 4.5g/L of glucose (10566-016 500ml, Gibco®) was blended with DMEM-F12 (11039-021 500ml, Gibco®), achieving a proportion of 3:4 for DMEM and 1:4 for Ham’s F12. Subsequently, the following components were sequentially integrated into the medium, with thorough mixing after each addition: 0.1% T3 trio-iodothyronin (T5516-1mg, Sigma Aldrich®), 0.1% adenine (A9795-1g, Merck®), 0.1% transferrin (616395-100mg, Merck®), 0.1% hydrocortisone (386698-25mg, Merck®), 0.1% insulin from bovine pancreas (I5500-50mg, Sigma Aldrich®), and 0.1% cholera toxin (C8052-5mg, Merck®). Additionally, 10% Bovine Fetal Serum - FBS (A4736301, Gibco®), 1% L-Glutamine (25030-024 100ml, Gibco®), 1% MEM Minimum Essential amino acids (11140-035, Gibco®), 1% Sodium Pyruvate (11360-039, Gibco®), 1% Penicillin-Streptomycin (15140122, Gibco®), and 0.2% Amphotericin B (15290026, Gibco®) were incorporated. Ultimately, the medium underwent sterilization via a 0.22-micron filter and was stored at 4ºC. The epidermal growth factor recombinant protein (EGF) 0.05mg (91-020, ProSei®) was introduced into the medium 24-48 hours after cell seeding to facilitate optimal growth. Moreover, a separate portion of complete culture medium was prepared with the inclusion of 10% Penicillin-Streptomycin to effectively mitigate the risk of sample contamination during isolation.

2.3. Collection of rat Vibrissae-Containing Skin Samples and Transportation

The skin of the rostrum region, including the vibrissae and the respective hair follicle, were collected from Sprague–Dawley rats using a combination of tweezers and a scalpel. These samples were immediately placed in a 10ml complete medium with 10% Penicillin-Streptomycin and transported on ice to ensure optimal conditions during transit. The samples were processed upon arrival at the laboratory.

2.4. Isolation of rHFSCs

Two methods were assessed to identify the superior approach for rHFSCs isolation.
In the first method (method A), the Mitomycin C-DMEM solution was introduced into the pre-established L929 feeding layer and incubated for a minimum of 3 hours before cell isolation.
In the second method (method B), the Mitomycin C-DMEM solution was incorporated into the pre-established L929 feeding layer, and after a minimum 3-hour incubation, complete medium was left conditioning for 3 days before the isolation process.
Immediately after arrival, the skin samples were washed twice in 30 ml of 70% alcohol solution, followed by two washes in 30ml of PBS solutions (1-minute each, manually agitated).
Using a stereomicroscope (SMZ1270, Nikon®), subcutaneous fat and connective tissue were removed to expose the folliculum in a petri dish (Figure 2), maintaining tissue wetness with PBS solution as needed. Individual extraction of the folliculum using a scalpel and forceps followed, with subsequent washing in PBS containing 2% Penicillin-Streptomycin. Samples were centrifuged at 1600 rpm for 5 minutes, and the supernatant was discarded.
The samples were then placed in a falcon with 2ml of 1% collagenase type IV (17104-019 1g, Gibco®), and incubated at 37℃ with 5% CO2 for 1 hour. Afterward, the falcon was centrifuged at 1600 rpm for 5 minutes, and the supernatant was removed. Folliculi were sectioned into small fragments, and the digested tissue fragments were transferred into a 12.5cm2 T-flask, with 5ml dispase/trypsin (2.4U/0.05%) solution (D4693-1G, Sigma® and 25300-062, Gibco®) added to the flask. The flask was incubated at 37℃, 5% CO2 for 1.5 hours with gentle agitation (vortex) to achieve a single-cell suspension of epithelial cells.
Trypsin was neutralized with a 1:1 proportion of complete medium. The solution was then centrifuged at 1600 rpm for 5 minutes, and the supernatant was removed. Medium was added to the remaining pellet (10ml), and the solution was filtered using a sterile cell strainer to eliminate any undigested tissue/debris. The mitomycin medium was removed from the feeding layer at different time points (method A vs B). Isolated cells (5ml of the medium containing cells) were seeded into a 25cm2 T-flask with the previously cultured feeding layer and incubated at 37°C with 5% CO2 and monitored over time [16].

2.5. Passage, Purification and Cell Line Expansion

The 10% mitomycin C solution was applied to the pre-cultivated L929 cells. Subsequently, an EDTA/PBS solution (0.2g NaEDTA/Lit PBS) was meticulously prepared and filtered. This solution was introduced to the cells (rHFSCs and L929) to facilitate L929 detachment, involving a 5-10minutes of incubation at 37 ℃, accompanied by mechanical force application as needed. Following this, 0.05% Trypsin-EDTA solution was employed to detach the remaining cells, with the process conducted for 5 minutes at 37 ℃.
The flask underwent a thorough rinsing with culture medium, followed by cell centrifugation at 1600 rpm for 10 minutes. The supernatant was discarded, and the cells were resuspended in a total volume of 1ml of medium plus cells. Quantification and determination of cells viability was achieved using the cell countess and a Trypan Blue Exclusion Test, aiding in determining the appropriate number for subsequent seeding and cryopreservation. The cells were seeded at a density of 4000 cells/cm2 to initiate the desired culture conditions.

2.6. Cryopreservation and Thawing

Cells isolated at various passages (P0-P9), underwent cryopreservation and thaw cycles. In culture, the cells underwent enzymatic detachment utilizing a 0.05% Trypsin-EDTA solution (25300062, Gibco®), followed by collection and automatic counting. The cells were cryopreserved with complete culture medium without EGF and 10% Dimethyl sulfoxide (DMSO - 5895690100, SigmaAldrich®) in cryovials with at least 1.5×105 cells. Subsequently, the cryovials underwent a gradual freezing process (−1°C/minute) within a freezing container containing Isopropyl alcohol (Nalgene® Mr. Frosty®, Thermo Scientific®) at −80°C. Within a maximum period of 3 days, the cryovials were then transferred to canisters within a liquid nitrogen container (−196°C) for long-term cryopreservation (LS750 Cryogenic Sample Storage, Taylor Wharton®).
For thawing, the cryovial content was exposed to a water bath (37°C) for rapid thawing. Within the laminar flow hood, the thawed contents were rapidly collected, centrifuged, and the supernatant discarded. The cells were subsequently resuspended in culture medium, counted, cultured, and maintained under standard conditions.

2.7. Cell Behavior in Culture

2.7.1. Growth Curve and Cell Viability

Cells were maintained in culture over 8 passages to establish their growth curve and viability over time. Upon reaching a confluence of 70–80%, a new cell passage was performed. Each passage involved the removal of the culture medium, EDTA/PBS washing for L929 detachment, PBS washing, cell detachment using a 0.05% Trypsin-EDTA solution, and a 5 minute incubation under standard conditions. The subsequent steps included centrifugation (1600 rpm, 10 minutes) and removal of the supernatant. To assess cell number and viability at each passage, the Trypan blue exclusion cell assay was employed, and cell counting was conducted using an automated counter (Countess II FL Automated Cell Counter, Thermo Fisher Scientific®).

2.7.2. Population Doubling Time (PDT)

The cells were seeded in 10 wells of a 12-well plate (12 Flat Test plate, Orange Scientific®) with a density of 5×104 cells/cm2 and culture medium was added. Over a period of 10 days, the cell count was assessed daily in one well per day. After the 10-day period, the Population Doubling Time (PDT) was determined using the method proposed by Lotfy et al. [29]. The PDT was calculated using the formula PDT = CT/PDN, where CT represents the culture time (in this instance, 10 days), and PDN stands for the population doubling number. The PDN was computed with the formula PDN = 3.32(log Xf − log Xi), where Xf denotes the cell count at the end of the subculture, Xi is the initial cell number used as the inoculum, and the doubling level of the inoculum used to initiate the subculture is quantified. In this context, since the value of the doubling level is unknown, it was considered as 0. PDT measurements were conducted during passages P8-P9. Triplicates were considered for each passage.

2.7.3. Colony Forming Unit (CFU) Assay

The CFU assay was conducted by culturing P3 rHFSCs until they reached a 70–80% confluence. Subsequently, L929 detachment was performed with EDTA/PBS, followed by enzymatic detachment using a 0.05% Trypsin-EDTA solution. The collected cells were subjected to a 1:2 serial dilution in complete medium, allowing for cell plating at densities ranging from 200, 300 and 400 and 500 cells per well in a six-well plate. The cells were incubated for 14 days under standard conditions, with daily monitoring to confirm colony development.
After the incubation period, the culture medium was aspirated, and the cells were incubated in 4% formaldehyde for 20 minutes and then stained with a 0.5% (v/v) Crystal Violet solution for 10 minutes at room temperature. Colony quantification was performed using a magnifying glass (Leica Zoom 2000, Meyer instruments®). Only visible colonies exceeding 1 mm in diameter or comprising more than 50 cells were considered, while overlapping colonies were disregarded. The clonal efficiency, expressed as the percentage of clonogenicity, was calculated using the formula (mean number of counted colonies/total number of seeded cells) × 100. To determine the CFU value, colonies from six wells (n=6) in a six-well plate were counted. This assay was performed according to Penfornis et al. [30].

2.7.4. Differentiation Protocols

2.7.4.1. Adipogenic Differentiation and Oil Red O Staining

Regarding the adipogenic differentiation protocol, 1×104 cells/cm2 (P3) were seeded in a 12-well plate, and complete culture medium was added. The plate was then incubated under standard conditions for 4 days. After this period, the culture medium in 6 wells was replaced with the complete adipogenesis differentiation medium (StemPro® Adipogenesis Differentiation Kit, Gibco®), while 2 wells were designated as controls and maintained with the regular culture medium. Following the manufacturer’s instructions, the media were refreshed every 3-4 days, and the cells were sustained in differentiation for 14 days.
After 14 days, the Oil Red O staining protocol was executed. The culture and differentiation media were aspirated, and the wells were gently washed with PBS. Cells were fixed with 4% formaldehyde (3.7–4% buffered to pH7, 252931.1315, Panreac Appli-Chem®) for 20 minutes at room temperature, followed by three additional washes with PBS. Oil Red O solution (010303, DiaPath®) was added to each well, and the plate was incubated for 20 minutes at room temperature. Subsequently, Oil Red O was discarded, and any excess dye was removed through several washes with PBS. PBS was added to each well for visualization. The wells were observed under an inverted microscope. The purpose of this assay was to identify intracytoplasmic lipid vacuoles, characterized by their red coloration upon exposure to the Oil Red O solution.

2.7.4.2. Chondrogenic Differentiation and Alcian Blue Staining

rHFSCs were seeded in a 96-well plate with a micro-mass culture setup at a density of 2.4x104 cells per well (P3), positioned at the center of the well. The plate was kept under standard conditions for 2 hours. Following this period, the differentiation medium (StemPro® Chondrogenesis Differentiation Kit, Gibco®) was introduced into 8 wells. The medium was refreshed every 2-3 days, and the cells were maintained in these conditions for a span of 14 days. Subsequently, the Alcian Blue staining protocol was applied. After washing the cells with PBS, they were fixed with 4% formaldehyde for 20 minutes at room temperature. The wells underwent three PBS washes, and Alcian Blue solution (119851-27-3, Sigma-Aldrich®) was added for 30 minutes at room temperature. After removing the stain, distilled water was added three times, remaining in the wells to facilitate microscopic visualization. The aim of this assay was to confirm chondrogenic differentiation through the identification of glycosaminoglycans in the extracellular matrix which will be stained blue with the Alcian blue solution.

2.7.4.3. Osteogenic Differentiation and Alizarin Red S/Von Kossa Staining

rHFSCs were initially seeded in a 12-well plate at a density of 8x103 cells per cm2 (P3), accompanied by culture medium, and incubated for 4 days. Subsequently, the culture medium was replaced with osteogenic medium (StemPro® Osteogenic Differentiation Kit, Gibco®), with medium refresh every 3-4 days. The cells were maintained under these conditions for 21 days. Following this, both Alizarin Red S and Von Kossa staining protocols were implemented. For Alizarin Red S, the cells underwent washing with PBS, fixation with 4% formaldehyde for 30 minutes at room temperature, and subsequent washing with distilled water. Alizarin Red S solution (2003999, Merck®) was added for a 30-minute incubation period. After stain removal, distilled water was added multiple times to eliminate excess, and the wells were observed under the microscope with distilled water. For Von Kossa staining, cells were fixed, dehydrated using increasing concentrations of ethanol, and air-dried. Subsequently, cells were incubated with 2% Silver nitrate solution (85193, Sigma Aldrich®) for 30 minutes at room temperature. Following this, cells were treated with sodium thiosulfate 5% (72049, Sigma Aldrich®), rinsed, and then microscopically analyzed. The aim of this assay was to determine the capacity for osteogenic differentiation through the identification of calcium phosphate deposits stained with Von Kossa (black staining) and calcium deposits in the extracellular matrix stained with alizarin red (red staining).

2.8. Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)

For PCR analysis, rHFSCs P3 were employed. Fifteen target genes, along with the 2 reference genes: beta-actin (ACTB) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH), were amplified in separate reaction tubes. The total RNA extraction was conducted using the Trizol RNA extraction kit following the manufacturer’s instructions, and cDNA was synthesized using reverse transcriptase. The PCR reaction system included 29 SYBR Green Mix (10 µL), primer Mix (1 µL), template (1 µL), and H2O (8 µL). This reaction mixture was loaded into Axygen PCR tubes, briefly centrifuged, and then placed into the real-time PCR instrument employing the SYBR Green method. The thermocycling program consisted of 40 cycles at 95°C for 15 s, 60°C for 15 s, and elongation at 72°C for 20 s. Each cDNA sample underwent processing in triplicate. The copy number in each cDNA sample was determined based on the calibration curve generated by the gene PCR products.
The expression of 15 specific genes was analyzed to identify markers associated with key cellular differentiations, including osteogenic (RUNX2, IBSP), chondrogenic (COL2A1, ACAN), and adipogenic (ADIPOQ, AAK1) differentiations. Additionally, three genes were examined as epithelial stem cell markers (ITGβ1, KRT19 and p63), one gene as a bulge stem cell marker (CD34), and others as markers for spinous layer (KRT10) and the epithelial basal layer (ITGα6). KRT15 was used as a keratinocyte marker and two housekeeping genes, GAPDH and ACTB, were used for normalization.
For the gene expression analysis, a Prime PCR Custom Plate 96 Well from Bio Rad Laboratories® was utilized, featuring 15 predesigned primers for the specified genes.
This experimental design enables a comprehensive exploration of gene expression patterns associated with various cellular processes, providing valuable insights into the differentiation and characterization of cells. The use of housekeeping genes ensures accurate normalization, enhancing the reliability of the obtained gene expression data.

2.8.1. RNA Isolation and cDNA Synthesis

RNA isolation was carried out using the Aurum™ total RNA Mini Kit (Bio Rad Laboratories®), following the provided manufacturer’s guidelines. In summary, a pellet containing 2×106 cells was lysed with a specific lysis solution, DNA was eliminated using DNAase I enzyme, and the resulting RNA was eluted with 80μl of an elution solution. The isolated RNA was stored at -80°C for subsequent use.
Before cDNA synthesis, the RNA’s quantity and purity were assessed through UV-spectrophotometry by measuring A260/A280 (indicating protein contamination) and A260/A230 (indicating contamination with polysaccharides, phenol, and/or chaotropic salts) absorbance on a Nanodrop spectrophotometer (Implen, Isaza®). Acceptable purity values ranged from 2 to 2.2 for A260/A280 and from 1.8 to 2.2 for A260/A230.
First-strand cDNAs were synthesized using 3.51μl of total RNA in a final volume of 20μl, employing the iScript™ cDNA Synthesis Kit (Bio Rad Laboratories®) following the manufacturer’s instructions. The entire reaction mix underwent incubation in a thermal cycler (T100™ Thermal Cycler, Bio Rad Laboratories®), following the time and temperature guidelines specified in the kit’s instructions.

2.8.2. Quantitative RT-PCR Assay

The RT-PCR assay was conducted using the CFX Connect Real-Time PCR Detection System from Bio Rad Laboratories®. Standard PCR conditions were employed with iTaq™ Universal SYBR Green Supermix (Bio Rad Laboratories®), following the manufacturer’s recommendations. The Real-Time PCR Detection System was used to read plates containing a mix targeting 15 genes for expression analysis in rHFSCs. Each primer pair aimed at specific genes, and the temperature cycles recommended by the manufacturers were applied.
Upon completion of the RT-PCR, gene expression analysis was performed. To confirm product specificity, a melting curve analysis was conducted. Threshold cycle (Ct) values of 39 were considered indicative of weak reactions, suggesting minimal target nucleic acid presence or environmental contamination. For each passage, the ΔCt value was determined using the formula ΔCt = Ct(target gene) − Ct(housekeeping gene).

2.9. Immunohistochemical Analysis

The rHFSCs at P3 were subjected to immunohistochemical analysis to specific immunomarkers (Table 1). The cells were cultured in 6 well-plates (3.84x104 cells/well) until a confluence of 70–80% was reached and immunohistochemical technique was performed using the Novolink™ Polymer Detection Systems kit (Leica Biosystems®) following the manufacturer’s instructions. Details regarding the primary antibodies and antigen retrieval methods are summarized in Table 1. The chosen antibodies aimed to rule out as mesenchymal (vimentin), as well as endothelial (CD31) cell’s histogenesis. Additionally, the non-expression of neural markers (synaptophysin) and smooth-muscle markers (α-muscle actin) was confirmed, to rule out the putative isolation of cells from the nerve plexuses involving the hair follicle or the piloerector muscle, respectively. A specific surface marker for rHFSCs was also considered (p63) [31,32]. To confirm the cells stemness, the c-kit immunomarker was also employed. Observation, evaluation, and photography of the samples were performed using the Nikon® Eclipse E600 microscope and Imaging Software NIS-Elements F Ver4.30.01 (Laboratory Imaging®). Immunopositivity was considered when distinct nuclear or cytoplasmic immunoreactivity was evident in at least 5% of the cells (0, negative; +).

2.10. rHFSCs Secretome Production and Analysis

To identify specific chemokines and growth factors produced and released by rHFSCs, the secretome was subjected to analysis. The conditioning process utilized cells in an early passage (P5). Upon reaching 70–80% confluence, the culture medium was removed, and the culture flask was gently washed with PBS 3 times. Two additional washes with DMEM culture medium followed, and then basal culture medium without antibiotic, antimycotic, or FBS supplementation was added to the flask (DMEM-F12 11039-021 Gibco®). The culture was incubated under standard conditions for 48 hours. After this incubation period, the secretome, enriched with factors secreted by the cells, was collected, centrifuged, and the supernatant was retained. The secretome was stored at −20°C and subsequently subjected to analysis using Multiplexing LASER Bead analysis (Eve Technologies, Canada) to explore a specific panel of biomarkers (Rat Cytokine/Chemokine 27-Plex Discovery Assay® Array (RD27) and Transforming growth factor beta - TGFβ 3-Plex Discovery Assay® Multi Species Array (TGFβ1-3)). The studied biomarkers included EGF, vascular endothelial growth factor (VEGF), Interleukin (IL) 6, IL-1α, IL-1β, IL-2, IL-4, IL-5, IL-10, IL-12p70, IL-13, IL-17A, IL-18, Regulated upon Activation, Normal T Cell Expressed and Presumably Secreted (RANTES), Monocyte chemoattractant protein-1 (MCP-1), Tumor Necrosis Factor-alpha (TNFα), Granulocyte colony-stimulating factor (G-CSF), Eotaxin, Fractalkine, Leptin, Interferon gamma (IFNϒ), Interferon-gamma inducible protein (IP-10), Human Growth-Regulated Oncogene/Keratinocyte Chemoattractant/Cytokine-induced neutrophil chemoattractant-1 (GRO/KC/CINC-1), Granulocyte-macrophage colony-stimulating factor (GM-CSF), LIX, Macrophage inflammatory protein (MIP) 1α, MIP-2, TGFβ1, TGFβ2 and TGFβ3. Three independent samples were analyzed for each passage.

2.11. Statistical Analysis

The statistical analysis was conducted using GraphPad Prism version 8.00 for Windows (GraphPad Software, La Jolla, California, USA). Data, when appropriate, are presented as mean± standard error of the mean (SEM). Group comparisons were executed through parametric tests. A significance threshold of < 0.05 was considered statistically significant. The significance of the results is indicated by symbols (∗), with (∗) corresponding to 0.01 ≤ P < 0.05, (∗∗) to 0.001 ≤ P < 0.01, (∗∗∗) to 0.0001 ≤ P < 0.001, and (∗∗∗∗) to P < 0.0001.

3. Results

3.1. Mitomycin C Concentration Determination Assay with L929 Cells

Figure 3 demonstrates the visual representation of the number of cells counted at 3h and 24h post Mitomycin C treatment. The cell number increased from 3h to 24h in the control group, as expected. The group treated with 10 μg/mL Mitomycin C, showed no significant difference in cell number between 3h and 24h post-treatment. The group treated with 20 μg/mL and 40 μg/mL Mitomycin C demonstrated a slight increase in cell number at 24h compared to 3h. In contrast, the group treated with 30 μg/mL Mitomycin C exhibited a significant decrease in cell number compared to the control at 3 hours, with statistical significance (p < 0.05).
In Figure 4 it can be confirmed that cell viability showed no significant differences between the control and Mitomycin C-treated groups at concentrations of 10, 20, and 30 μg/mL. However, the group treated with 40 μg/mL Mitomycin C exhibited a slight decrease in cell viability compared to the control. These results demonstrate that Mitomycin C treatment had concentration-dependent effects on L929 cell proliferation. Concentrations of 20 and 40 μg/mL promoted cell proliferation, while 30 μg/mL had an inhibitory effect, diminishing the cell number over time. These findings suggest that Mitomycin C can effectively halt cell division in L929 cells at a concentration of 10 μg/mL without compromising cell viability, as indicated by the lack of significant differences in viability at lower concentrations. The observed increase in cell number at 24 hours in the control group likely reflects normal cell growth and proliferation. The sustained increase in cell number in the presence of 20 and 40 μg/mL Mitomycin C suggests that these concentrations do not effectively block cell division. However, the significant decrease in cell number at 24 hours in the presence of 30 μg/mL Mitomycin C indicates a potent inhibitory effect on cell proliferation, potentially due to some cytotoxicity. Importantly, the 10 μg/mL concentration resulted in a cell division arrest, without a significant reduction in cell viability. In conclusion, the concentration of 10 μg/mL effectively halted cell division, making it the selected concentration to use in the feeding layer for the rHFSCs.

3.2. Isolation and Expansion of rHFSCs

The methods used to isolate the cells both showed efficacy and allowed observation of the cells growing in the feeding layer (Figure 5). However, method B resulted in a higher yield of isolated cells, with better performance over time. Consequently, cells isolated using this method were selected for subsequent assays.

3.3. Cryopreservation and Thawing

Cryopreserved and thawed cells exhibited consistent performance without discernible changes. Regardless of the passage at which cryopreservation took place, post-thawing, cells adhered to the plastic surface within a few hours. Confluence, reaching 70–80%, occurred between 3 and 4 days, and the expected morphology was observed.

3.4. Cell Behavior in Culture

At the beginning of the culture, the cells exhibited a heterogeneous morphology as the culture was not yet purified. After the initial passages, the cultures underwent a transition towards a more homogeneous morphology. Culture cells exhibited clear plastic adhesion. The observed variations among different experiments likely stemmed from differences in the efficiency of hair follicle dissociation. This transition in culture characteristics suggests a convergence towards a more uniform cell population after the first passages. In earlier passages, the adhesion time was extended, and cell growth and proliferation were comparatively slower. Optimal cell performance, concerning both adhesion and proliferation, was observed between passages P3 and P7. During this phase, there was a shorter time for adherence and quicker attainment of the desired confluence. However, performance gradually declined after passages P8-P9.

3.4.1. Growth Kinetics and Cell Viability

Isolation method A and B were compared between P0 and P4 regarding cell growth and viability, being method B selected as the superior approach as it demonstrated a higher cell proliferation and increased viability since passage 2, with statistical significance (Figure 6 - a and b).
The two graphics shown above illustrate the growth curve and viability of rHFSCs over 8 passages. In the rHFSCs Cell Figure 7 (a), cell proliferation increases significantly in the early passages, reaching its peak at passage 6, after which the growth rate declines. In contrast, the rHFSCs Figure 7 (b) shows a continuous increase in cell viability as the passages progress, reaching 100% by passage 8.

3.4.2. PDT

The PDT of rHFSCs was determined for P8-P9 and the 3 phases traditionally attributed to cells in culture were easily identified, as the lag phase occurred between P1-P2, the exponential phase between P2-P5 and the stationary phase in P5-P8 (Figure 8). The mean value of PDT was 68.38 ± 19.12 hours and for each phase it is represented in Figure 9. The lag phase takes approximately 130 hours to double the population, while the exponential phase takes around 66 hours. The stationary phase, as expected, has a negligible doubling time.

3.4.3. Colony Formation Assay (CFU)

The CFU assays provided confirmation of the rHFSCs capacity to generate new colonies from individual cells. Following a 14 day incubation period, an average of 8.63 ± 2.86 colonies exhibiting spindle morphology were identified per well. The clonogenicity percentage for 200 cells seeded was 3.33 ± 1.53; 300 cells seeded was 4.67±4.73; 400 cells seeded was 11.0±2.65 and 500 cells seeded was 9.67±2.52 (Figure 10 and Figure 11).

3.4.4. Differentiation Protocols

3.4.4.1. Adipogenic Differentiation and Oil Red O Staining

The confirmation of the cells’ adipogenic differentiation ability was established through the observation of morphological changes, characterized by the presence of large cells with a rounded shape, and the detection of red-stained lipid vacuoles in the cytoplasm, resulting from exposure to the Oil Red O solution (Figure 12).

3.4.4.2. Chondrogenic Differentiation and Alcian Blue Staining

Chondrogenic differentiation of rHFSCs was verified through the observation of chondrogenic aggregates and extracellular matrix staining in blue, attributed to the exposure of proteoglycans to the Alcian Blue solution (Figure 13).

3.4.4.3. Osteogenic Differentiation and Alizarin Red S/Von Kossa Staining assays

The confirmation of cells osteogenic differentiation capacity was achieved through the identification of cells containing calcium, suggestive of osteocytes; and the detection of extracellular calcium deposits stained red, attributable to exposure to the Alizarin Red solution. Also, the Von Kossa Staining demonstrated the presence of dark deposits. These deposits represent calcium and phosphate, indicating the presence of mineralized matrix produced during osteogenic differentiation (Figure 14). Alizarin Red detects calcium deposits, while Von Kossa identifies both calcium and phosphate, offering a broader understanding of mineralization. Co-staining validates that the mineralization observed with Alizarin Red is associated with actual bone formation. Additionally, Von Kossa reveals the spatial distribution of the mineralized matrix, enhancing the analysis of bone architecture [36].

3.5. RT-PCR

Table 2 presents the average Ct values and ΔCt values for the genes analyzed via PCR for rHFSCs at P3. The purity of the samples was confirmed, allowing for their use in subsequent phases of the study. ACTB was used as reference gene, showing consistent expression. The genes were divided into highly expressed (Ct < 29), moderately expressed genes (29 ≤ Ct ≤ 35), and lowly expressed genes (Ct ≥ 35). Regarding the ⧍Ct values, a negative ΔCt indicates that the target gene is expressed at a higher level than the reference gene. This can suggest that the target gene is upregulated, which may be relevant in various biological contexts, such as developmental processes, responses to stress, or disease states. p63 and KRT19 were expressed (moderately and lowly), confirming the identity of the cells as epithelial stem cells. CD34, a well-known marker for bulge stem cells, was also expressed, further supporting this identification. The integrins ITGα6 and ITGβ1, which are crucial for cell adhesion and signaling, demonstrated moderate expression consistent with the basal characteristics of these cells. Additionally, COL2A1, a marker associated with chondrogenesis, was expressed suggesting a potential differentiation toward cartilage. However, the lack of expression of ACAN, another chondrogenic marker, indicates that this pathway may not be fully activated. Notably, RUNX2 displayed expression and a potential commitment to osteogenic differentiation, while IBSP, another osteogenic marker, was not expressed. Moreover, the presence of ADIPOQ/AAK1 suggests the possibility of adipogenic differentiation. Overall, these results suggest that the rHFSCs (P3) show characteristics of multipotent stem cells, with potential for differentiation toward multiple lineages, including chondrogenic, osteogenic, and adipogenic pathways. Additionally, the lack of KRT14, KRT10, and minimal KRT15 expression supports the conclusion that these cells have not retained full bulge-specific characteristics (Figure 15).

3.6. Immunohistochemical Analysis

The selected antibodies were carefully chosen to exclude the possibility of mesenchymal origin, as indicated by the negative expression of vimentin. Furthermore, the endothelial origin was dismissed by assessing the absence of CD31 expression, and the non-expression of neural markers, such as synaptophysin, confirmed the cells’ non-neural lineage. The non-expression of α-muscle actin confirmed the absence of smooth muscle derived cells. Additionally, a specific surface marker for rHFSCs, namely p63, was employed to further validate the cell type under investigation, that showed positive immunolabeling. Positive c-Kit - immunoexpression is indicative of their stemness and potential ability to differentiate into several cell types within the hair follicle structure (Figure 16).
3.7. rHFSCs Secretome Analysis
The mean concentration values of each biomarker in the secretome under analysis are presented in Table 3 and Figure 17 a) and b).

4. Discussion

RHFSCs have garnered significant attention due to their easy accessibility and availability, making them a promising candidate for regenerative therapies [16]. This study’s main goal was to establish methods for their collection, isolation, characterization, and storage, as well as analyzing their secretome regarding their wound pro-healing properties. A simple and easy collection method was established, and the isolation was performed under aseptic conditions, using antibiotics and antimycotics to prevent contamination. The methodology was described as detailed as possible to ensure the future reproducibility and reliability of the results.
After isolating and culturing, the cells displayed typical epidermal stem cells features, such as good adhesion ability and a decline in the proliferation capacity with increasing passage numbers [16,37].
Isolation Method B, where the culture medium conditioned pre-isolation, demonstrated superior results compared to Method A (non-conditioning), a finding that aligns with initial expectations, due to the presence of secreted molecules that facilitate cell adhesion, proliferation, and differentiation, thereby creating a more supportive environment for the cells during the isolation process. This approach demonstrated better cell yield and viability over time and those cells were subsequently used in all following assays.
Cryopreservation is an important aspect for cell preservation, ensuring their availability for therapeutic applications. In this study, DMSO was used as the cryoprotectant due to its ability to maintain high cell viability by preventing intracellular ice formation. Although DMSO has potential tumorigenic and cytotoxic effects above 4°C, proper thawing and removal protocols minimize these risks [38,39,40]. It is vital that cells retain their culture behavior, immunomodulatory properties, and ability to differentiate after thawing, as verified in this study.
Growth kinetics were determined through both the growth curve and PDT. While the growth curve tracks cell numbers at the time of passage, PDT measures the time required for cells to double within the same passage, offering a more accurate indicator of cell performance. PDT is directly related to genetic stability and senescence, with lower PDT indicating faster cell growth [6,41]. Growth curves followed typical patterns seen in other species and cells lines, with three phases: lag, exponential growth, and stationary [42]. Viability over time was high even at higher passages, however, from P7 onward, there was a gradual reduction in proliferation, though the cells still proliferated rapidly [43].
CFUs were used to assess self-renewal capacity, and the cells showed good clonogenicity, forming several spindle-shaped colonies, similar to findings in other studies [30].
In this study, after implementing specific differentiation protocols, rHFSCs demonstrated their capacity for adipogenic, osteogenic, and chondrogenic differentiation in vitro confirming the multipotent nature of these cells [44,45].
The RT-PCR data, in conjunction with established knowledge about hair follicle stem cell (HFSC) markers, provides several insights into the cell population being studied. p63 and ITGβ1 presence indicate the cells are epithelial stem cells, as these genes are specific markers. p63 is a specific hair follicle marker associated with a transcription factor that distinguishes basal stem cells from transient amplifying progeny, KRT19 is expressed in the bulge and hair germ and ITGβ1 is vital for maintaining stem cell adhesion to the basement membrane. ITGα6 is highly expressed in bulge cells and indicates the epithelial basal layer origin [15,37,46,47,48,49,50]. The non-expression of ACAN (chondrodiferentiation marker) and IBSP (osteogenic marker) were unexpected considering the capacity for multipotency described above, however, RUNX2, COL2A1 and ADIPOQ/AAK1, markers of osteogenic, chondrogenic, and adipogenic differentiation respectively, suggests a potential tri-differentiation capacity, indicating that these cells possess broader multipotency [51,52,53]. The non-expression of ACAN, while COL2A1 is expressed, can be due to the regulatory role of transcriptions factors like SOX9. Under specific conditions, SOX9 can inhibit ACAN transcription. Also, COL2A1 is typically expressed during the early stages of chondrocyte development, while ACAN is more prominent in later stages, indicating a temporal regulation influenced by SOX9. Furthermore, signaling pathways such as TGF-β and WNT interact with SOX9 to refine the expression of these extracellular matrix components [54,55,56]. In addition, the non-expression of IBSP can be due to its typical role in later stages of osteoblast differentiation [57,58,59]. While RUNX2 is known to induce the expression of IBSP, it primarily acts during early osteoblast development. Moreover, signaling pathways, such as WNT signaling, are also important in regulating osteoblast maturation and may contribute to the absence of IBSP at this stage [57,58,59]. CD34, a well-established bulge stem cell marker in mouse and rat hair follicles, confirms that the population retains key HFSC characteristics [16,46,48,50,60]. The non-expression of KRT14 (basal keratinocyte marker) and KRT15 (keratinocyte marker) suggest that the cells origin is from the folliculum and not from the epidermis [46,47,61,62]. In addition, the non-expression of KRT10 (spinous layer marker) further supports the conclusion that the rHFSCs have not initiated differentiation into mature keratinocytes or other terminally differentiated cell types [46,62,63].
The immunohistochemical results indicate that the rat hair follicle stem cells express markers associated with epithelial progenitor cells (p63) and stemness capacity(c-Kit) and lack markers for endothelial (CD31), neural (Synaptophysin), mesenchymal (Vimentin), and muscle (α-SMA) lineages. This confirms that they are epithelial stem cells, likely involved in the regeneration of the hair follicle and surrounding skin tissue. These results corroborate the PCR results and confirms the cells isolated are in fact rat hair follicle stem cells [15,16,47].
The use of secretome offers several advantages over living cells for therapeutic purposes. First, it eliminates the risk of immune rejection, making them safer for allogeneic treatments with no risk of tumor development. They also present fewer regulatory and ethical hurdles, as they avoid the need for live cell cultures or genetic manipulation. Furthermore, it is easier to store, transport and have a longer shelf-life. Additionally, they provide targeted healing without the complexity of maintaining live cells, making them a more efficient and safer option for treatment [64,65,66,67]. Therefore, the rHFSCs secretome was analyzed to determine the presence of various biomolecules, such as interleukins, growth factors, chemokines, immunomodulatory and immunosuppressive factors, which were present in distinct concentrations. Although some of them are expressed in a low concentration, it is not unexpected and does not necessarily diminish their therapeutic efficacy. This is because the effective therapeutic concentrations of these factors in a delivery system typically fall within low yet significant ranges [6].
Regarding the biomolecules identified in the secretome: EGF promotes reepithelialization and the formation of granulation tissue, while VEGF facilitates angiogenesis and supports granulation tissue formation. IL-10 reduces excessive inflammation and Transforming growth factor beta (TGF-β) 1, TGF-β2, and TGF-β3 enhance the formation of granulation tissue. Meanwhile, IL-10 functions as an anti-inflammatory cytokine [68]. IL-6 influences macrophage polarization and contributes to fibrosis through its interaction with TGF-β and IL-17A, which promote collagen deposition and fibroblast differentiation. IL-4 and IL-13 support M2 macrophage polarization, aiding repair, while IL-17A enhances the fibrotic feedback loop with IL-6 and TGF-β [69]. RANTES and MCP-1 recruit immune cells to the wound site. TNF-α drives inflammation, G-CSF boosts neutrophil function, and eotaxin attracts eosinophils. Fractalkine aids in immune cell recruitment, while GM-CSF stimulates macrophage proliferation. GRO/KC/CINC-1 attracts neutrophils, and IFN-γ enhances macrophage activation. IL-1α and IL-1β are crucial pro-inflammatory cytokines, IL-2 supports T cell proliferation and IL-5 activates eosinophils. IL-12p70 and IL-18 enhance inflammatory responses, and IP-10 attracts immune cells. Leptin modulates immune responses, LIX recruits’ neutrophils, and MIP- 1α and 2 facilitate immune cell recruitment and inflammation. Together, these molecules coordinate the immune response, inflammation, and tissue regeneration necessary for effective wound healing [21,23,63,70,71,72].
The rHFSCSs exhibited a dynamic secretome profile as they age from P3 to P5. Fractalkine and G-CSF expression between passages diminished, while IL-13 expression was enhanced in P5, with statistical difference. This indicates that, over successive cell passages, there is a decrease in pro-inflammatory cytokines (Fractalkine, G-CSF) and an increase in anti-inflammatory IL-13, suggesting a shift in the cells’ immune-modulatory behavior. This may reflect cellular adaptation or 2D conformation that could have implications for how these cells behave in experiments or therapeutic applications, particularly in wound healing, where different stages of healing require different cytokine and growth factor environments.
Additionally, the elevated expression of IL-6, MCP-1, VEGF, GRO/KC/CINC-1, GM-CSF, and MIP-2 suggests a predominant pro-inflammatory and immune-stimulatory environment, characterized by heightened immune cell recruitment, inflammation, and a strong emphasis on tissue repair and angiogenesis, important for wound healing.

5. Conclusions

rHFSCSs have emerged as a promising therapeutic option in regenerative medicine due to their accessibility, ease of collection and significant regenerative potential. In this study, a comprehensive protocol was developed for the isolation, culturing, cryopreservation, and thawing of rHFSCs. Through the methods applied, the biological characterization of these cells was performed, confirming the expression of several specific genes, and their ability to tri-differentiate. Specific surface markers were also identified, further validating the stemness of rHFSCSs and confirming their hair follicle bulge origin, making them suitable candidates for therapeutic applications. These cells in vitro behavior was also determined over time.
Cell therapies hold great potential for regenerative medicine; however, challenges remain regarding their safety, process standardization, and methods of delivering cells to injured tissues. These concerns have led to increased interest in the therapeutic potential of paracrine factors secreted by stem cells. In the context of rHFSCSs, their secretome was studied, leading to the identification and quantification of various biomarkers linked to wound healing. This discovery opens the possibility of utilizing the rHFSCSs’ secretome in future regenerative therapies. Moreover, the potential applications of RHFSCSs extend beyond wound healing to other regenerative purposes, making them a versatile tool in tissue repair and regeneration.

Author Contributions

Conceptualization, P.S.; M.G.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; A.R.; I.A.; N.A.; S.G. and A.C.M.; methodology, P.S.; M.J.M.; B.L.; A.R.; I.A.; R.A.; software, P.S.; B.L.; A.C.S.; R.A.; A.M.; A.C.; validation, P.S.; B.L.; M.J.M.; A.C.S.; R.A.; A.M.; A.R.; I.A.; A.C.; N.A.; S.G. and A.C.M.; formal analysis, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; A.R.; I.A.; N.A.; S.G. and A.C.M.; investigation, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; A.R.; I.A.; N.A.; S.G. and A.C.M.; resources, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; N.A.; S.G. and A.C.M.; data curation, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; N.A.; S.G. and A.C.M.; writing—original draft preparation, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; A.R.; I.A.; N.A.; S.G. and A.C.M.; writing—review and editing, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; A.R.; I.A.; N.A.; S.G. and A.C.M.; visualization, P.S.; M.J.M.; B.L.; A.C.S.; R.A.; A.M.; A.C.; N.A.; S.G. and A.C.M.; supervision, R.A.; N.A.; S.G. and A.C.M.; project administration, N.A. and A.C.M.; funding acquisition, N.A. and A.C.M. All authors have read and agreed to the published version of the manuscript.

Funding

Patrícia Sousa (2023.00246.BD), Bruna Lopes (2021.05265.BD), Ana Catarina Sousa (SFRH/BD/146689/2019), Alícia Moreira (2023.00544.BD) and André Coelho (2023.00428.BD) acknowledge Fundação para a Ciência e Tecnologia (FCT) for financial support. Rui Damásio Alvites acknowledges the Animal Science Studies Centre (CECA), Agroenvironment, Technologies and Sciences Institute (ICETA), Porto University (UP), and FCT for the funding and availability of all technical, structural, and human resources necessary for the development of this work. The work was supported through the project UIDB/00211/2020 funded by FCT/MCTES through national funds, through the project 2022.04501.PTDC (Olfabionerve - Olfactory Mucosa Mesenchymal StemCells and Biomaterials Promoting Peripheral Nerve Regeneration).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Further data on the reported results are available from the corresponding author on request.

Acknowledgments

Figure 1 was generated and adapted for this paper using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 4.0 Unported License (Servier; https://smart.servier.com/).

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ACTB Beta-Actin
CFU Colony Forming Units
DGAV Veterinary Authorities of Portugal
DMSO Dimethyl Sulfoxide
EGF Epidermal Growth Factor Recombinant Protein
FBS Bovine Fetal Serum
GAPDH Glyceraldehyde 3-Phosphate Dehydrogenase
G-CSF Granulocyte Colony-Stimulating Factor
GM-CSF Granulocyte-Macrophage Colony-Stimulating Factor
GRO/KC/CINC-1 Human Growth-Regulated Oncogene/Keratinocyte Chemoattractant/Cytokine-induced neutrophil chemoattractant-1
HFSCs Hair Follicle Stem Cells
ICBAS Abel Salazar Institute for Biomedical Sciences
IFNϒ Interferon Gamma
IL Interleukin
IP-10 Interferon-Gamma Inducible Protein
MCP-1 Monocyte Chemoattractant Protein-1
MIP Macrophage Inflammatory Protein
ORBEA Organism Responsible for Animal Welfare
PDT Population Doubling Time
RANTES Regulated upon Activation, Normal T Cell Expressed and Presumably Secreted
rHFSCs Rat Hair Follicle Stem Cells
RT-PCR Reverse Transcriptase Polymerase Chain Reaction
SEM Standard Error of the Mean
TGFβ Transforming growth factor beta
TNFα Tumor Necrosis Factor-alpha
UP University of Porto
VEGF Vascular Endothelial Growth Factor

References

  1. Ojeh, N.; et al. Stem Cells in Skin Regeneration, Wound Healing, and Their Clinical Applications. International Journal of Molecular Sciences. 2015, 16, 25476–25501. [Google Scholar] [CrossRef] [PubMed]
  2. Sousa, P.; et al. Advancements and Insights in Exosome-Based Therapies for Wound Healing: A Comprehensive Systematic Review (2018&ndash;June 2023). Biomedicines. 2023, 11, 2099. [Google Scholar]
  3. Lai-Cheong, J.E. and J. Medicine. 2009, 37, 223–226. [Google Scholar] [CrossRef]
  4. Lopes, B.; et al. The Application of Mesenchymal Stem Cells on Wound Repair and Regeneration. Applied Sciences. 2021, 11, 3000. [Google Scholar] [CrossRef]
  5. Li, Y.; et al. Epidermal Stem Cells in Skin Wound Healing. Adv Wound Care (New Rochelle) 2017, 6, 297–307. [Google Scholar] [CrossRef]
  6. Alvites, R.D.; et al. Rat Olfactory Mucosa Mesenchymal Stem/Stromal Cells (OM-MSCs): A Characterization Study. Int J Cell Biol. 2020, 2020, 2938258. [Google Scholar] [CrossRef]
  7. Carolina, M.; et al. Application of Cell-Based Therapies in Veterinary Dermatology, in Wound Healing - Recent Advances and Future Opportunities, M. Prof. Ana Colette, A. Dr. Rui Damásio, and G. Dr. Müzeyyen, Editors. 2023, IntechOpen: Rijeka. p. Ch. 1.
  8. Yang, R.; et al. Epidermal Stem Cells in Wound Healing and Regeneration. Stem Cells Int. 2020. 2020, 9148310. [Google Scholar] [CrossRef]
  9. Díaz-García, D.; et al. A Beginner’s Introduction to Skin Stem Cells and Wound Healing. Int J Mol Sci. 2021, 22, 20. [Google Scholar] [CrossRef]
  10. Jo, H.; et al. Applications of Mesenchymal Stem Cells in Skin Regeneration and Rejuvenation. International Journal of Molecular Sciences. 2021, 22, 2410. [Google Scholar] [CrossRef]
  11. Mahla, R.S. ; Stem Cells Applications in Regenerative Medicine and Disease Therapeutics. International Journal of Cell Biology. 2016, 2016, 6940283. [Google Scholar] [CrossRef]
  12. Morad, G.; L. Kheiri, and A. Khojasteh. Dental pulp stem cells for in vivo bone regeneration: A systematic review of literature. Archives of Oral Biology 2013, 58, 1818–1827. [Google Scholar] [CrossRef] [PubMed]
  13. Rhode, S.C.; J.P. Beier, and T. Ruhl, Adipose tissue stem cells in peripheral nerve regeneration—In vitro and in vivo. Journal of Neuroscience Research. 2021, 99, 545-560.
  14. Yi, S.; et al. Application of stem cells in peripheral nerve regeneration. Burns & Trauma. 2020, 8.
  15. Zhang, S.; et al. Hair follicle stem cells derived from single rat vibrissa via organ culture reconstitute hair follicles in vivo. Cell Transplant. 2012, 21, 1075–85. [Google Scholar] [CrossRef] [PubMed]
  16. Quan, R.; et al. Culture and characterization of rat hair follicle stem cells. Cytotechnology. 2016, 68, 621–628. [Google Scholar] [CrossRef]
  17. Call, M.; et al. Hair Follicle Stem Cell Isolation and Expansion. Bio-protocol. 2018, 8, e2848.
  18. Hoogduijn, M.J.; E. Gorjup, and P.G. Genever, Comparative characterization of hair follicle dermal stem cells and bone marrow mesenchymal stem cells. Stem Cells Dev. 2006, 15, 49-60.
  19. Yari, A.; et al. Hair follicle stem cells promote cutaneous wound healing through the SDF-1α/CXCR4 axis: an animal model. J Wound Care. 2020, 29, 526–536. [Google Scholar] [CrossRef]
  20. Park, S.-R.; et al. Stem Cell Secretome and Its Effect on Cellular Mechanisms Relevant to Wound Healing. Molecular Therapy. 2018, 26, 606–617. [Google Scholar] [CrossRef]
  21. Ibrahim, R.; et al. Cell Secretome Strategies for Controlled Drug Delivery and Wound-Healing Applications. Polymers (Basel). 2022, 14, 14. [Google Scholar] [CrossRef]
  22. Ahangar, P.; S.J. Mills, and A.J. Cowin, Mesenchymal Stem Cell Secretome as an Emerging Cell-Free Alternative for Improving Wound Repair. International Journal of Molecular Sciences. 2020, 21, 7038.
  23. Bormann, D.; et al. Therapeutic Application of Cell Secretomes in Cutaneous Wound Healing. Journal of Investigative Dermatology. 2023, 143, 893–912. [Google Scholar] [CrossRef]
  24. Irons, R.F.; et al. Acceleration of diabetic wound healing with adipose-derived stem cells, endothelial-differentiated stem cells, and topical conditioned medium therapy in a swine model. Journal of Vascular Surgery. 2018, 68, 115S–125S. [Google Scholar] [CrossRef]
  25. Heo, S.C.; et al. Tumor Necrosis Factor-α-Activated Human Adipose Tissue–Derived Mesenchymal Stem Cells Accelerate Cutaneous Wound Healing through Paracrine Mechanisms. Journal of Investigative Dermatology. 2011, 131, 1559–1567. [Google Scholar] [CrossRef]
  26. Suzdaltseva, Y.; et al. Locally Delivered Umbilical Cord Mesenchymal Stromal Cells Reduce Chronic Inflammation in Long-Term Nonhealing Wounds: A Randomized Study. Stem Cells International. 2020, 2020, 5308609. [Google Scholar] [CrossRef] [PubMed]
  27. Kim, J.H.; et al. Identification and characterization of stem cell secretome-based recombinant proteins for wound healing applications. Frontiers in Bioengineering and Biotechnology. 2022, 10. [Google Scholar] [CrossRef] [PubMed]
  28. Ridiandries, A.; J.T.M. Tan, and C.A. Bursill, The Role of Chemokines in Wound Healing. International Journal of Molecular Sciences. 2018, 19, 3217.
  29. Lotfy, A.; et al. Characterization of Mesenchymal Stem Cells Derived from Rat Bone Marrow and Adipose Tissue: A Comparative Study. ijsc. 2014, 7, 135–142. [Google Scholar] [CrossRef]
  30. Penfornis, P. and R. Pochampally, Colony Forming Unit Assays. Methods Mol Biol. 2016, 1416, 159-69.
  31. Claudinot, S.; et al. Tp63-expressing adult epithelial stem cells cross lineages boundaries revealing latent hairy skin competence. Nature Communications. 2020, 11, 5645. [Google Scholar] [CrossRef]
  32. Lee, B.-W.; et al. Expression of p63 and its association with cell proliferation at different stages of murine hair follicle cycle. Journal of Biomedical Translational Research. 2018, 19, 10–15. [Google Scholar] [CrossRef]
  33. Ribeiro, E.; et al. Repurposing Benztropine, Natamycin, and Nitazoxanide Using Drug Combination and Characterization of Gastric Cancer Cell Lines. Biomedicines. 2023, 11, 799. [Google Scholar] [CrossRef]
  34. Lee, J.; et al. Hair-bearing human skin generated entirely from pluripotent stem cells. Nature. 2020, 582, 399–404. [Google Scholar] [CrossRef]
  35. Rugowska, A.; et al. Human skeletal muscle-derived stem/progenitor cells modified with connexin-43 prevent arrhythmia in rat post-infarction hearts and influence gene expression in the myocardium. J Physiol Pharmacol. 2019, 70, 6. [Google Scholar]
  36. Zainal Ariffin, S.H.; et al. Evaluation of in vitro osteoblast and osteoclast differentiation from stem cell: a systematic review of morphological assays and staining techniques. PeerJ. 2024, 12, e17790. [Google Scholar] [CrossRef]
  37. Zhang, Y.; et al. Bulge cells of human hair follicles: segregation, cultivation and properties. Colloids Surf B Biointerfaces. 2006, 47, 50–6. [Google Scholar] [CrossRef]
  38. Awan, M.; et al. Dimethyl Sulfoxide: A Central Player Since the Dawn of Cryobiology, is Efficacy Balanced by Toxicity? Regenerative Medicine. 2020, 15, 1463–1491. [Google Scholar] [CrossRef] [PubMed]
  39. Murray, K.A.; R.M.F. Tomás, and M.I. Gibson, Low DMSO Cryopreservation of Stem Cells Enabled by Macromolecular Cryoprotectants. ACS Applied Bio Materials. 2020, 3, 5627-5632.
  40. Chen, G.; et al. Comparison of the Effects of Different Cryoprotectants on Stem Cells from Umbilical Cord Blood. Stem Cells International. 2016, 2016, 1396783. [Google Scholar] [CrossRef] [PubMed]
  41. Daukste, L.; et al. Mathematical Determination of Cell Population Doubling Times for Multiple Cell Lines. Bulletin of Mathematical Biology. 2012, 74, 2510–2534. [Google Scholar] [CrossRef] [PubMed]
  42. Mizuno, M.; et al. Time-lapse image analysis for whole colony growth curves and daily distribution of the cell number per colony during the expansion of mesenchymal stem cells. Scientific Reports. 2019, 9, 16835. [Google Scholar] [CrossRef]
  43. Chen, H.; Y. Li, and T.O. Tollefsbol, Cell Senescence Culturing Methods, in Biological Aging: Methods and Protocols, T.O. Tollefsbol, Editor. 2013, Humana Press: Totowa, NJ. p. 1-10.
  44. Aran, S.; et al. Hair follicle stem cells differentiation into bone cells on collagen scaffold. Cell and Tissue Banking. 2020, 21, 181–188. [Google Scholar] [CrossRef]
  45. Jahoda, C.A.B.; et al. Hair follicle dermal cells differentiate into adipogenic and osteogenic lineages. Experimental Dermatology. 2003, 12, 849–859. [Google Scholar] [CrossRef]
  46. Kloepper, J.E.; et al. Immunophenotyping of the human bulge region: the quest to define useful in situ markers for human epithelial hair follicle stem cells and their niche. Experimental Dermatology. 2008, 17, 592–609. [Google Scholar] [CrossRef]
  47. Ohyama, M.; et al. Characterization and isolation of stem cell–enriched human hair follicle bulge cells. The Journal of Clinical Investigation. 2006, 116, 249–260. [Google Scholar] [CrossRef]
  48. Amoh, Y.; et al. Multipotent nestin-positive, keratin-negative hair-follicle bulge stem cells can form neurons. Proc Natl Acad Sci U S A. 2005, 102, 5530–4. [Google Scholar] [CrossRef]
  49. Rompolas, P. and V. Greco, Stem cell dynamics in the hair follicle niche. Semin Cell Dev Biol. 2014, 25-26, 34-42.
  50. Çankirili, N.K.; O. Altundag, and B. Çelebi-Saltik, Skin Stem Cells, Their Niche and Tissue Engineering Approach for Skin Regeneration, in Cell Biology and Translational Medicine, Volume 6: Stem Cells: Their Heterogeneity, Niche and Regenerative Potential, K. Turksen, Editor. 2020, Springer International Publishing: Cham. p. 107-126.
  51. Thiagarajan, L.; H.A.M. Abu-Awwad, and J.E. Dixon, Osteogenic Programming of Human Mesenchymal Stem Cells with Highly Efficient Intracellular Delivery of RUNX2. Stem Cells Transl Med. 2017, 6, 2146-2159.
  52. Derfoul, A.; et al. Glucosamine promotes chondrogenic phenotype in both chondrocytes and mesenchymal stem cells and inhibits MMP-13 expression and matrix degradation. Osteoarthritis Cartilage. 2007, 15, 646–55. [Google Scholar] [CrossRef]
  53. Zhou, B.O.; et al. Bone marrow adipocytes promote the regeneration of stem cells and haematopoiesis by secreting SCF. Nat Cell Biol. 2017, 19, 891–903. [Google Scholar] [CrossRef] [PubMed]
  54. Zuscik, M.J.; et al. Regulation of chondrogenesis and chondrocyte differentiation by stress. J Clin Invest. 2008, 118, 429–38. [Google Scholar] [CrossRef] [PubMed]
  55. Yang, B.; et al. MicroRNA-145 regulates chondrogenic differentiation of mesenchymal stem cells by targeting Sox9. PLoS One. 2011, 6, e21679. [Google Scholar] [CrossRef] [PubMed]
  56. Shi, S.; et al. Role of sox9 in growth factor regulation of articular chondrocytes. J Cell Biochem. 2015, 116, 1391–400. [Google Scholar] [CrossRef]
  57. Komori, T. ; Whole Aspect of Runx2 Functions in Skeletal Development. International Journal of Molecular Sciences. 2022, 23, 5776. [Google Scholar] [CrossRef]
  58. Komori, T. ; Regulation of Skeletal Development and Maintenance by Runx2 and Sp7. International Journal of Molecular Sciences. 2024, 25, 10102. [Google Scholar] [CrossRef]
  59. Huybrechts, Y.; et al. WNT Signaling and Bone: Lessons From Skeletal Dysplasias and Disorders. Front Endocrinol (Lausanne). 2020, 11, 165. [Google Scholar] [CrossRef]
  60. Joulai Veijouye, S.; et al. Bulge Region as a Putative Hair Follicle Stem Cells Niche: A Brief Review. Iran J Public Health. 2017, 46, 1167–1175. [Google Scholar]
  61. Wang, S.; et al. Single cell transcriptomics of human epidermis identifies basal stem cell transition states. Nature Communications. 2020, 11, 4239. [Google Scholar] [CrossRef]
  62. Wang, J.; et al. Isolation and long-term expansion of murine epidermal stem-like cells. PLOS ONE. 2021, 16, e0254731. [Google Scholar] [CrossRef]
  63. Morgun, E.I. and E.A. Vorotelyak, Epidermal Stem Cells in Hair Follicle Cycling and Skin Regeneration: A View From the Perspective of Inflammation. Frontiers in Cell and Developmental Biology. 2020, 8.
  64. Vizoso, F.J.; et al. Mesenchymal Stem Cell Secretome: Toward Cell-Free Therapeutic Strategies in Regenerative Medicine. International Journal of Molecular Sciences. 2017, 18, 1852. [Google Scholar] [CrossRef] [PubMed]
  65. Gwam, C.; N. Mohammed, and X. Ma, Stem cell secretome, regeneration, and clinical translation: a narrative review. Ann Transl Med. 2021, 9, 70.
  66. Karimian, A.; et al. Role of secretomes in cell-free therapeutic strategies in regenerative medicine. Cell and Tissue Banking. 2024, 25, 411–426. [Google Scholar] [CrossRef] [PubMed]
  67. L, P.K.; et al. The mesenchymal stem cell secretome: A new paradigm towards cell-free therapeutic mode in regenerative medicine. Cytokine & Growth Factor Reviews. 2019, 46, 1-9.
  68. Huang, Y.-Z.; et al. Mesenchymal Stem Cells for Chronic Wound Healing: Current Status of Preclinical and Clinical Studies. Tissue Engineering Part B: Reviews. 2020, 26, 555-570.
  69. Johnson, B.Z.; et al. The Role of IL-6 in Skin Fibrosis and Cutaneous Wound Healing. Biomedicines. 2020, 8, 101. [Google Scholar] [CrossRef] [PubMed]
  70. Daneshmandi, L.; et al. Emergence of the Stem Cell Secretome in Regenerative Engineering. Trends Biotechnol. 2020, 38, 1373–1384. [Google Scholar] [CrossRef] [PubMed]
  71. Md Fadilah, N.I.; et al. Cell secretomes for wound healing and tissue regeneration: Next generation acellular based tissue engineered products. J Tissue Eng. 2022, 13, 20417314221114273. [Google Scholar] [CrossRef]
  72. An, S.; et al. Wound-Healing Effects of Mesenchymal Stromal Cell Secretome in the Cornea and the Role of Exosomes. Pharmaceutics. 2023, 15, 5. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the HFSCs location in the skin.
Figure 1. Schematic representation of the HFSCs location in the skin.
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Figure 2. Sprague-Dawley skin samples containing hair follicles, observed under the stereomicroscope (Zoom Range: 0.63 – 8x): a) Skin sample after collection; b) elimination of adipose tissue and connective tissue; c) observation of follicles integrated into the basal layer and already individualized (arrow).
Figure 2. Sprague-Dawley skin samples containing hair follicles, observed under the stereomicroscope (Zoom Range: 0.63 – 8x): a) Skin sample after collection; b) elimination of adipose tissue and connective tissue; c) observation of follicles integrated into the basal layer and already individualized (arrow).
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Figure 3. Number of cells at 3h and 24h post treatment with Mitomycin C at 10 μg/mL, 20 μg/mL, 30 μg/mL and 40 μg/mL.
Figure 3. Number of cells at 3h and 24h post treatment with Mitomycin C at 10 μg/mL, 20 μg/mL, 30 μg/mL and 40 μg/mL.
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Figure 4. L929 Viability at 24h post Mitomycin C treatment.
Figure 4. L929 Viability at 24h post Mitomycin C treatment.
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Figure 5. Representative images of P0 rHFSCs with P6 L929 feeding layer, previously treated with mitomycin C solution isolated with method A (a) and method B (b). Magnification: 40x; Scale bar: 100µm.
Figure 5. Representative images of P0 rHFSCs with P6 L929 feeding layer, previously treated with mitomycin C solution isolated with method A (a) and method B (b). Magnification: 40x; Scale bar: 100µm.
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Figure 6. rHFSCs comparison between isolation method A and B on the 4 initial passages – a) rHFSCs cell growth comparison and b) rHFSCs viability comparison.
Figure 6. rHFSCs comparison between isolation method A and B on the 4 initial passages – a) rHFSCs cell growth comparison and b) rHFSCs viability comparison.
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Figure 7. rHFSCs growth curve over 8 passages (a) and rHFSCs viability over 8 passages (b).
Figure 7. rHFSCs growth curve over 8 passages (a) and rHFSCs viability over 8 passages (b).
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Figure 8. rHFSCs Cell growth over 10 days of culture in P8-P9 (mean ±SEM) with the lag, exponential ans stationary phases.
Figure 8. rHFSCs Cell growth over 10 days of culture in P8-P9 (mean ±SEM) with the lag, exponential ans stationary phases.
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Figure 9. rHFSCs PDT for each phase (lag, exponential and stationary).
Figure 9. rHFSCs PDT for each phase (lag, exponential and stationary).
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Figure 10. Results of the rHFSCs CFU assays (P3), with initial seeding densities of 200/300 (a) and 400/500 (b).
Figure 10. Results of the rHFSCs CFU assays (P3), with initial seeding densities of 200/300 (a) and 400/500 (b).
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Figure 11. Results of the rHFSCs CFU with initial seeding densities of 200, 300, 400 and 500 cells per well.
Figure 11. Results of the rHFSCs CFU with initial seeding densities of 200, 300, 400 and 500 cells per well.
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Figure 12. Results of adipogenic differentiation assays in rHFSCs P3: (a) control and (b) with red-stained lipid vacuoles in the cytoplasm. Magnification: 40x; Scale bar: 100µm.
Figure 12. Results of adipogenic differentiation assays in rHFSCs P3: (a) control and (b) with red-stained lipid vacuoles in the cytoplasm. Magnification: 40x; Scale bar: 100µm.
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Figure 13. Results of chondrogenic differentiation assays in rHFSCs P3: a) control and b) chondrogenic aggregates and extracellular matrix staining in blue. Magnification: 40x; Scale bar: 100µm.
Figure 13. Results of chondrogenic differentiation assays in rHFSCs P3: a) control and b) chondrogenic aggregates and extracellular matrix staining in blue. Magnification: 40x; Scale bar: 100µm.
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Figure 14. Results of osteogenic differentiation assays in rHFSCs P3: (a) control; (b) Alizarin Red staining – presence of calcium deposits; (c) Von Kossa staining – presence of dark deposits (calcium and phosphate). Magnification: 40x; Scale bar: 100µm.
Figure 14. Results of osteogenic differentiation assays in rHFSCs P3: (a) control; (b) Alizarin Red staining – presence of calcium deposits; (c) Von Kossa staining – presence of dark deposits (calcium and phosphate). Magnification: 40x; Scale bar: 100µm.
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Figure 15. ΔCt values for each gene under study. Higher ⧍Ct values demonstrate lower expression (mean ± SEM).
Figure 15. ΔCt values for each gene under study. Higher ⧍Ct values demonstrate lower expression (mean ± SEM).
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Figure 16. Results of the immunohistochemical analysis of isolated rHFSCs at P3. The cells are negative for CD31 (a), synaptophysin (d), vimentin (e) and alpha-smooth muscle actin (f), but positive for both cKit (b) and p63 (c). Magnification: 500x: Scale bar: 100µm.
Figure 16. Results of the immunohistochemical analysis of isolated rHFSCs at P3. The cells are negative for CD31 (a), synaptophysin (d), vimentin (e) and alpha-smooth muscle actin (f), but positive for both cKit (b) and p63 (c). Magnification: 500x: Scale bar: 100µm.
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Figure 17. a and b: Normalized concentration of each biomolecule present in the rHFSCs secretome. The significance of the results is indicated by symbols (∗), with (∗) corresponding to 0.01 ≤ P < 0.05, (∗∗) to 0.001 ≤ P < 0.01, (∗∗∗) to 0.0001 ≤ P < 0.001, and (∗∗∗∗) to P < 0.0001.
Figure 17. a and b: Normalized concentration of each biomolecule present in the rHFSCs secretome. The significance of the results is indicated by symbols (∗), with (∗) corresponding to 0.01 ≤ P < 0.05, (∗∗) to 0.001 ≤ P < 0.01, (∗∗∗) to 0.0001 ≤ P < 0.001, and (∗∗∗∗) to P < 0.0001.
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Table 1. Immunohistochemical analysis - Antibodies investigated, dilutions and antigen retrieval methods.
Table 1. Immunohistochemical analysis - Antibodies investigated, dilutions and antigen retrieval methods.
Antibody Clonality Manufacturer Dilution Antigen retrieval
c-Kit Polyclonal DAKO®, Agilent Technologies® 1/450 20 min Dako Target Retrieval Solution/Water Bath 100℃ [33]
Vimentin Clone V9 DAKO®, Agilent Technologies® 1/500 20 min Dako Target Retrieval Solution/Water Bath 100℃ [33]
CD31 Clone JC70A DAKO®, Agilent Technologies® 1/50 30 min Pepsine 0.4%/ Incubator 37 ℃ [33]
p63 Clone 4A4 Lab Vision Corporation® 1/200 20 min Dako Target Retrieval Solution/Water Bath 100℃ [34]
α-Muscle Actin Clone HHF35 DAKO®, Agilent Technologies® 1/500 20 min Dako Target Retrieval Solution/Water Bath 100℃ [35]
Synaptophysin Clone SP11 NeoMarkers® 1/150 20 min Dako Target Retrieval Solution/Water Bath 100℃ [33]
Table 2. Average Ct and ΔCt values for genes under study. nd= non defined.
Table 2. Average Ct and ΔCt values for genes under study. nd= non defined.
Target Gene Ct Average ΔCt
KRT14 nd nd
p63 31.13 ± 0.09 -1.87
CD34 36.01 ± 0.42 3.01
COL2A1 36.69 ± 0.13 3.70
ITGα6 30.52 ± 0.1 -2.48
ACAN nd nd
ITGβ1 29.27 ± 0.12 -3.73
RUNX2 38.85 ± 0.02 5.85
KRT10 nd nd
IBSP nd nd
KRT15 nd nd
ADIPOQ 37.59 ± 0.01 4.59
AAK1 29.27 ± 0.06 -3.73
KRT19 39.33 ± 0.01 6.33
Table 3. rHFSCs secretome analysis with mean normalized concentration values for each biomolecule in P3 and P5 (mean ± SEM).
Table 3. rHFSCs secretome analysis with mean normalized concentration values for each biomolecule in P3 and P5 (mean ± SEM).
Biomolecule Mean ± SEM
(P3)
Mean ± SEM
(P5)
EGF 0.16 ± 0,03 0.18 ± 0.04
Eotaxin 0.16 ± 0.00 0.00 ± 0.00
Fractalkine 4.38 ± 0.29 3.06 ± 0.15
G-CSF 3.43 ± 0.32 1.09 ± 0.36
GM-CSF 35.39 ±10.69 39.75 ± 11.55
GRO/KC/CINC-1 47.32 ± 8.64 57.64 ± 7.24
IFNγ 34.01 ± 2.26 30.67 ± 0.73
IL-1α 3.79 ± 2.27 12.83 ± 5.50
IL-1β 6.99 ± 0.86 7.27 ± 0.63
IL-2 12.21 ± 1.23 12.65 ± 0.58
IL-4 4.88 ± 1.30 2.63 ± 0.00
IL-5 24.13 ± 2.69 21.13 ± 2.46
IL-6 166.36 ± 50.22 165.62 ± 0.00
IL-10
IL-12p70
IL-13
IL-17A
IL-18
IP-10
Leptin
MCP-1
MIP-1α
MIP-2
RANTES
VEGF
TGF-β1
TGF-β2
TGF-β3
18.37 ± 1.87
4.34 ± 1.80
3.39 ± 0.43
4.77 ± 0.30
8.89 ± 1.31
2.33 ± 0.31
32.31 ± 8.97
131.64 ± 38.26
1.70 ± 0.57
32.78 ± 5.77
0.51 ± 0.03
91.75 ± 3.22
5.82 ± 1.07
0.97 ± 0.04
0.19 ± 0.00
18.17 ± 0.88
1.42 ± 0.00
8.84 ± 0.51
7.57 ± 1.11
5.55 ± 1.24
1.96 ± 0.38
30.49 ± 4.08
137.21 ± 19.77
2.19 ± 0.39
44.02 ± 7.97
0.50 ± 0.01
98.88 ± 1.06
7.14 ± 1.02
0.98 ± 0.00
0.00 ± 0.00
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