Evidence map›Paper›PMID 39043790›Full record

ArticleScientific reports2024

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

Salwa Mohd Mostafa, Luyang Wang, Bin Tian, Joel Graber, Claire Moore

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Salwa Mohd MostafaGraduate School of Biomedical Sciences and Department of Developmental, Molecular, and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Luyang WangGene Expression and Regulation Program, and Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, PA, 19104, USA.
Bin TianGene Expression and Regulation Program, and Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, PA, 19104, USA.
Joel GraberMount Desert Island Biological Laboratory, Salisbury Cove, ME, 04609, USA.
Claire MooreGraduate School of Biomedical Sciences and Department of Developmental, Molecular, and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA. claire.moore@tufts.edu.

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Aaron Robert Goldman · 1985 to 2026
$75.9M
The Maine Biomedical Research Network (INBRE)P20GM103423 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI JAMES A COFFMAN · 2012 to 2026
$60.0M
Understanding the role of thyroid hormone signaling during axolotl limb regenerationP20GM104318 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI DRUMMOND, IAIN A. · 2013 to 2023
$23.0M
Regulation of Alternative Cleavage and PolyadenylationR01GM084089 · NIGMS · WISTAR INSTITUTE · PI TIAN, BIN · 2008 to 2023
$6.7M
The MDIBL Center for Comparative Biology of Tissue Repair, Regeneration and AgingP30GM154610 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI IAIN A. DRUMMOND · 2024 to 2026
$5.0M
Defining the Role of Alternative Polyadenylation in Macrophage Differentiation and FunctionR01AI152337 · NIAID · TUFTS UNIVERSITY BOSTON · PI MOORE, CLAIRE L · 2020 to 2024
$2.9M
Regulation of gene expression by alternative polyadenylationR35GM153277 · NIGMS · WISTAR INSTITUTE · PI BIN TIAN · 2024 to 2026
$2.0M
Regulation of eukaryotic mRNA polyadenylation by sustained stressR01GM101010 · NIGMS · TUFTS UNIVERSITY BOSTON · PI MOORE, CLAIRE L · 2015 to 2018
$1.3M
NCI NIH HHS P30 CA010815NIAID NIH HHS R01 AI152337NIGMS NIH HHS P20 GM103423NIGMS NIH HHS P20 GM104318NIGMS NIH HHS P30 GM154610NIGMS NIH HHS R01 GM084089NIGMS NIH HHS R01 GM101010NIGMS NIH HHS R35 GM153277NIH HHS R01 GM101010-01A1
6 · The paper itself

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.

Indexed as

AdipogenesisAlternative SplicingGene Expression ProfilingPolyadenylationRNA, Long Noncoding3' Untranslated RegionsAdipocytesComputational BiologyGene Expression RegulationHumansMicroRNAsRNA-Binding ProteinsTranscriptome3' Untranslated RegionsMicroRNAsRNA-Binding ProteinsRNA, Long Noncoding

Identifiers

PMID39043790
PMCPMC11266407

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.