Dynamic MRNA Network Profiles in Macrophages Challenged with Lipopolysaccharide

Overview

Journal Am J Transl Res

Specialty General Medicine

Date 2024 Jun 17

PMID 38883351

Authors

Li Chen

Lei Li

Chenyang Huang

Xusong Cao

Yong Jiang

Affiliations

Soon will be listed here.

Abstract

Objectives: To elucidate the transcriptome of macrophages in an inflammation model induced by lipopolysaccharide (LPS), providing insight into the molecular basis of inflammation.

Methods: We utilized RNA sequencing (RNA-seq) to analyze dynamic changes in gene expression in RAW264.7 macrophages treated with LPS at multiple time points. Differentially expressed genes (DEGs) were identified using the edgeR package. Short Time-series Expression Miner (STEM) and KEGG pathway enrichment analyses were conducted to determine temporal expression patterns during inflammation.

Results: We identified 2,512 DEGs, with initial inflammatory responses occurring in two distinct phases at 1 h and 3 h. Venn diagram analysis revealed 78 consistently dysregulated genes throughout the inflammatory process. A key module of 18 dysregulated genes was identified, including Irg1, which may exert an inhibitory effect on inflammation. Further, a second metabolic shift in activated macrophages was observed at the late middle stage (12 h). Multi-omics analysis highlighted the ribosome's potential regulatory role in the inflammatory response.

Conclusions: This study provides a detailed view of the molecular mechanisms underlying inflammation in macrophages and reveals a dynamic genetic landscape crucial for further research. Our findings underscore the complex interaction between gene expression, metabolic shifts, and ribosomal functions in response to LPS-induced inflammation.

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