Evidence map›Paper›PMID 34895148›Full record

SynthesisBMC genomics2021

Regulatory modules of human thermogenic adipocytes: functional genomics of large cohort and Meta-analysis derived marker-genes.

Beáta B Tóth, Zoltán Barta, Ákos Barnabás Barta, László Fésüs

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. iScience · 2025
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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

4 authors.

Beáta B TóthDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem Tér 1, Debrecen, H-4032, Hungary. toth.beata@med.unideb.hu.ORCID http://orcid.org/0000-0001-9091-1497
Zoltán BartaMTA-DE Behavioural Ecology Research Group, Department of Evolutionary Zoology and Human Biology, University of Debrecen, Egyetem tér 1, Debrecen, H-4032, Hungary.
Ákos Barnabás BartaVienna University of Economics and Business (WU), Welthandelspl. 1, 1020, Wien, Austria.
László FésüsDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Egyetem Tér 1, Debrecen, H-4032, Hungary. fesus@med.unideb.hu.

Funding

European Union and the European Regional Development Fund (GINOP-2.3.2-15-2016-00006) GINOP-2.3.2-15-2016-00006Nemzeti Kutatási, Fejlesztési és Innovaciós Alap TKP2020-NKA-04
6 · The paper itself

Abstract

backgroundRecently, ProFAT and BATLAS studies identified brown and white adipocytes marker genes based on analysis of large databases. They offered scores to determine the thermogenic status of adipocytes using the gene-expression data of these markers. In this work, we investigated the functional context of these genes.

resultsGene Set Enrichment Analyses (KEGG, Reactome) of the BATLAS and ProFAT marker-genes identified pathways deterministic in the formation of brown and white adipocytes. The collection of the annotated proteins of the defined pathways resulted in expanded white and brown characteristic protein-sets, which theoretically contain all functional proteins that could be involved in the formation of adipocytes. Based on our previously obtained RNA-seq data, we visualized the expression profile of these proteins coding genes and found patterns consistent with the two adipocyte phenotypes. The trajectory of the regulatory processes could be outlined by the transcriptional profile of progenitor and differentiated adipocytes, highlighting the importance of suppression processes in browning. Protein interaction network-based functional genomics by STRING, Cytoscape and R-Igraph platforms revealed that different biological processes shape the brown and white adipocytes and highlighted key regulatory elements and modules including GAPDH-CS, DECR1, SOD2, IL6, HRAS, MTOR, INS-AKT, ERBB2 and 4-NFKB, and SLIT-ROBO-MAPK. To assess the potential role of a particular protein in shaping adipocytes, we assigned interaction network location-based scores (betweenness centrality, number of bridges) to them and created a freely accessible platform, the AdipoNET ( https//adiponet.com ), to conveniently use these data. The Eukaryote Promoter Database predicted the response elements in the UCP1 promoter for the identified, potentially important transcription factors (HIF1A, MYC, REL, PPARG, TP53, AR, RUNX, and FoxO1).

conclusionOur integrative approach-based results allowed us to investigate potential regulatory elements of thermogenesis in adipose tissue. The analyses revealed that some unique biological processes form the brown and white adipocyte phenotypes, which presumes the existence of the transitional states. The data also suggests that the two phenotypes are not mutually exclusive, and differentiation of thermogenic adipocyte requires induction of browning as well as repressions of whitening. The recognition of these simultaneous actions and the identified regulatory modules can open new direction in obesity research.

Indexed as

GenomicsThermogenesisAdipocytes, WhiteAdipose TissueCell DifferentiationHumansAdipocytes, browning and thermogenesisAdipoNETProtein interaction networks, gene expression regulationRNA-seq dataTranscriptional factors, HIF1AUCP1 promoter

Identifiers

PMID34895148
PMCPMC8665548

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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 OpenQuestion graph.