Scholarlink

Gene Regulatory Network (GRN) play an important role in biological system to understand disease. Gene, TF and miRNA are important component of cell and play an important role in regulation of gene expression. GRN uncover the complexities in understanding the complexities of a disease. Recent advancements in computational biology and tools enable us to construct GRN and help to identify the mechanism of disease. Analysis of the network and identification of Feed Forward Loop (FFL) motifs have an important role in cell and any disruption in the key nodes present in network can lead to the mutation in the cellular system. The crosstalk between gene, Transcription factor, miRNA is not well explored to understand the pathophysiology of the disease. By studying and analyzing the GRN, we can identify the biomarker to understand and treat the disease.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Mapping of Biological Data onto the Gene Regulatory Network Using Bioinformatics Approach

  • 章节

  • 发表日期：

    2025年

查看全文
  • Shashikala,
  • Shazia Haider,
  • Vibha Rani

摘要

Gene Regulatory Network (GRN) play an important role in biological system to understand disease. Gene, TF and miRNA are important component of cell and play an important role in regulation of gene expression. GRN uncover the complexities in understanding the complexities of a disease. Recent advancements in computational biology and tools enable us to construct GRN and help to identify the mechanism of disease. Analysis of the network and identification of Feed Forward Loop (FFL) motifs have an important role in cell and any disruption in the key nodes present in network can lead to the mutation in the cellular system. The crosstalk between gene, Transcription factor, miRNA is not well explored to understand the pathophysiology of the disease. By studying and analyzing the GRN, we can identify the biomarker to understand and treat the disease.