Neethirajan, S. Measuring MiRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches. Stand Alone Papers 2022 2022, doi:10.3390/blsf2022010003.
Neethirajan, S. Measuring MiRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches. Stand Alone Papers 2022 2022, doi:10.3390/blsf2022010003.
Neethirajan, S. Measuring MiRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches. Stand Alone Papers 2022 2022, doi:10.3390/blsf2022010003.
Neethirajan, S. Measuring MiRNA in Livestock Using Sensor Technologies: Challenges and Potential Approaches. Stand Alone Papers 2022 2022, doi:10.3390/blsf2022010003.
Abstract
Early disease detection in livestock allows for target treatment decreasing antibiotics use and allow advancements in precision veterinary medicine. MicroRNA (miRNA) -driven signaling cascades play a crucial role in the context of farm animal disease diagnostics and prediction, and their proper understanding remains a challenge. In livestock farm animals, only a small number of miRNAs have been fully validated with respect to disease conditions and physiological or behavioral traits. Low abundance of miRNAs in blood and bodily fluids, along with a small number of nucleotides, makes detection and discrimination tedious and challenging task in. miRNAs usually are homologous, owing to which detection specificity becomes next to impossible when screening for multiple miRNAs in the same analyte sample. Hence, a concurrent, multiplexing, approach becomes crucial for the development of on-farm point-of-care based detection systems. Comprehensive screening methods demand broad dynamic range and enhanced specificity. For on-farm handheld platform development, the ability to screen for multiple varieties of miRNA is essential. In this review paper, I provide an overview of the recent developments of miRNA sensing and the current bottlenecks in the realization of the sensors for detecting miRNAS as target analyte for various livestock disease detection applications. Due to the nascent stages of this research, the possibilities of exploiting miRNAs as a biomarker opens up ways to move from reactive to predictive possibilities in diseases detection in the modern digital livestock farming.
Biology and Life Sciences, Animal Science, Veterinary Science and Zoology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
