Transcriptomic analysis reveals regulation of adipogenesis via long non-coding RNA, alternative splicing, and alternative polyadenylation.

Sci Rep

Graduate School of Biomedical Sciences and Department of Developmental, Molecular, and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.

Published: July 2024

AI Article Synopsis

  • * The study analyzed sequencing data from human fat cell precursors and mature adipocytes, revealing important long non-coding RNAs (lncRNAs) and numerous alternative splicing (AS) events that could regulate white fat development.
  • * Findings suggest that manipulating lncRNA levels and mRNA isoforms, influenced by alternative splicing and polyadenylation, could offer new therapeutic approaches to combat obesity-related issues.

Article Abstract

Obesity is characterized by dysregulated adipogenesis that leads to increased number and/or size of adipocytes. Understanding the molecular mechanisms governing adipogenesis is therefore key to designing therapeutic interventions against obesity. In our study, we analyzed 3'-end sequencing data that we generated from human preadipocytes and adipocytes, as well as previously published RNA-seq datasets, to elucidate mechanisms of regulation via long non-coding RNA (lncRNA), alternative splicing (AS) and alternative polyadenylation (APA). We discovered lncRNAs that have not been previously characterized but may be key regulators of white adipogenesis. We also detected 100 AS events and, using motif enrichment analysis, identified RNA binding proteins (RBPs) that could mediate exon skipping-the most prevalent AS event. In addition, we show that usage of alternative poly(A) sites in introns or 3'-UTRs of key adipogenesis genes leads to isoform diversity, which can have significant biological consequences on differentiation efficiency. We also identified RBPs that may modulate APA and defined how 3'-UTR APA can regulate gene expression through gain or loss of specific microRNA binding sites. Taken together, our bioinformatics-based analysis reveals potential therapeutic avenues for obesity through manipulation of lncRNA levels and the profile of mRNA isoforms via alternative splicing and polyadenylation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11266407PMC
http://dx.doi.org/10.1038/s41598-024-67648-9DOI Listing

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