Transcriptomic Analysis Based on Bulk RNA-seq Data

Area of Science:

• Hepatology
• Genomics
• Bioinformatics

Background:

• Nonalcoholic fatty liver (NAFL) can progress to non-alcoholic steatohepatitis (NASH), increasing end-stage liver disease risk.
• Understanding the molecular mechanisms driving NAFL to NASH transition is crucial for effective treatment.
• Bulk RNA-sequencing (RNA-seq) offers insights into disease progression but requires efficient upstream analysis.

Purpose of the Study:

• To develop a reproducible and user-friendly pipeline for upstream analysis of bulk RNA-seq data.
• To enable standardized processing and deep parsing of private or public transcriptomic data.
• To facilitate the identification of molecular mechanisms and potential therapeutic targets in NAFLD/NASH.

Main Methods:

• The pipeline involves four key steps: data quality control, gene mapping, differential gene analysis, and functional analysis.
• It is designed for high reproducibility and ease of use for researchers.
• The process leverages bulk RNA-seq data for comprehensive transcriptomic analysis.

Main Results:

• The pipeline provides a standardized approach to processing and analyzing bulk RNA-seq data.
• It enables detailed parsing of transcriptomic information relevant to liver disease.
• Facilitates the identification of differentially expressed genes and associated pathways.

Conclusions:

• The developed pipeline offers an efficient and reliable method for transcriptomic data analysis in NAFLD/NASH research.
• It aids in uncovering molecular mechanisms underlying liver disease progression.
• Supports researchers in screening for potential drug targets and therapeutic strategies.