Bioinformatics approach to processing data from high-throughput sequencing of small RNA molecules
https://doi.org/10.15829/1728-8800-2024-4195
EDN: IRNCAQ
Abstract
High-throughput sequencing of small ribonucleic acid (RNA) molecules is widely used to search for markers of various diseases, as well as to study the regulation of gene expression. The data processing protocol consists of many stages, including the stages of analyzing the initial data quality and sequencing results, mapping and studying the expression profile of the detected small RNA molecules. A whole arsenal of programs and specific packages has already been developed to implement each study step. The instrumental composition of the final bioinformatics protocol is critically important for the correct data processing and study reproduction. This review describes the most universal protocol for processing the results of high-throughput sequencing of small RNA molecules, including all the main stages and the most widely used programs.
About the Authors
A. A. Zharikova
National Medical Research Center for Therapy and Preventive Medicine; Lomonosov Moscow State University
Russian Federation
Russian Federation
Moscow
Yu. V. Vyatkin
National Medical Research Center for Therapy and Preventive Medicine; Lomonosov Moscow State University
Russian Federation
Russian Federation
Moscow
A. V. Kiseleva
National Medical Research Center for Therapy and Preventive Medicine
Russian Federation
Russian Federation
Moscow
A. N. Meshkov
National Medical Research Center for Therapy and Preventive Medicine
Russian Federation
Russian Federation
Moscow
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Supplementary files
What is already known about the subject?
- One of the important functions of small RNA molecules is the post-transcriptional regulation of gene expression.
- With differential expression, RNA molecules of different classes can be identified, including small RNA molecules, which are potential markers of a wide range of diseases.
- Bioinformatics analysis programs differ in operating speed, usability, availability, a set of additional parameters and other characteristics.
- The development of a bioinformatics protocol for analyzing high-throughput sequencing data contributes to the standardization of preanalytical factors, which is an important step in clinical application, as well as research of small RNA molecules.
What might this study add?
- A universal protocol for processing the results of high-throughput sequencing of small RNA molecules, its main stages and the most widely used programs are described.
Review
For citations:
Zharikova A.A., Vyatkin Yu.V., Kiseleva A.V., Meshkov A.N. Bioinformatics approach to processing data from high-throughput sequencing of small RNA molecules. Cardiovascular Therapy and Prevention. 2024;23(11):4195. (In Russ.) https://doi.org/10.15829/1728-8800-2024-4195. EDN: IRNCAQ
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