Combined Computational and Experimental Analyses of Gene Regulation by MicroRNAs

MicroRNA 基因调控的计算和实验相结合分析

• 批准号: 10636836
• 负责人: Xiaowei Wang
• 金额: $ 39.98万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10636836
• 关键词: Adopted; Biological; Biological Process; Biology; Code; Communities; Computer Analysis; Family; Funding; Gene Expression; Gene Expression Regulation; Gene Targeting; Genes; Grant; Human; Methods; MicroRNAs; National Institute of General Medical Sciences; Proteins; Publications; Publishing; Research; Resources; Role; Technology; Untranslated RNA; Work; bioinformatics resource; computer studies; experimental analysis; experimental study; human disease; innovation; predictive tools

Project Summary MicroRNAs (miRNAs) are a family of small non-coding RNA molecules that downregulate the expression of their gene targets. Both computational and experimental studies have shown that thousands of human protein-coding genes are regulated by miRNAs, and miRNAs are master regulators of many important biological processes. Changes in miRNA expression can have profound biological impacts, leading to a variety of human diseases. Due to their critical roles in gene expression regulation, functional characterization of miRNAs has become one of the most active research fields in biology in recent years. Despite rapid progress in miRNA research, one major obstacle in this field is the lack of robust computational and experimental methods for functional miRNA analysis. Funded by this NIGMS R01 grant over the past ten years, we have made significant progress and published many methods on miRNA and gene expression studies. The methods we established have been widely adopted by the scientific community. In particular, we have developed a miRNA target prediction tool, miRDB, which has quickly become a major bioinformatics resource and has been cited by thousands of publications. Moreover, we have developed innovative experimental methods to manipulate the expression levels of miRNAs. Built on our recent progress, we propose to perform combined computational and experimental analyses to continue to develop cutting-edge technologies for miRNA studies. Our work is expected to exert a significant impact in the miRNA field by providing valuable resources for functional miRNA analysis.

项目总结