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Anti-adipogenic signals at the onset of obesity-related inflammation in white adipose tissue.

Tiziana Caputo | Van Du T Tran | Nasim Bararpour | Carine Winkler | Gabriela Aguileta | Khanh Bao Trang | Greta M P Giordano Attianese | Anne Wilson | Aurelien Thomas | Marco Pagni | Nicolas Guex | Béatrice Desvergne | Federica Gilardi
Cellular and molecular life sciences : CMLS | 2021

Chronic inflammation that affects primarily metabolic organs, such as white adipose tissue (WAT), is considered as a major cause of human obesity-associated co-morbidities. However, the molecular mechanisms initiating this inflammation in WAT are poorly understood. By combining transcriptomics, ChIP-seq and modeling approaches, we studied the global early and late responses to a high-fat diet (HFD) in visceral (vWAT) and subcutaneous (scWAT) AT, the first being more prone to obesity-induced inflammation. HFD rapidly triggers proliferation of adipocyte precursors within vWAT. However, concomitant antiadipogenic signals limit vWAT hyperplastic expansion by interfering with the differentiation of proliferating adipocyte precursors. Conversely, in scWAT, residing beige adipocytes lose their oxidizing properties and allow storage of excessive fatty acids. This phase is followed by tissue hyperplastic growth and increased angiogenic signals, which further enable scWAT expansion without generating inflammation. Our data indicate that scWAT and vWAT differential ability to modulate adipocyte number and differentiation in response to obesogenic stimuli has a crucial impact on the different susceptibility to obesity-related inflammation of these adipose tissue depots.

Pubmed ID: 32157317

Research resources used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


ChIP-seq (tool)

RRID:SCR_001237

Set of software modules for performing common ChIP-seq data analysis tasks across the whole genome, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. The tools are designed to be simple, fast and highly modular. Each program carries out a well defined data processing procedure that can potentially fit into a pipeline framework. ChIP-Seq is also freely available on a Web interface.

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Weighted Gene Co-expression Network Analysis (tool)

RRID:SCR_003302

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RSeQC (tool)

RRID:SCR_005275

Software package to comprehensively evaluate different aspects of RNA-seq experiments, such as sequence quality, GC bias, polymerase chain reaction bias, nucleotide composition bias, sequencing depth, strand specificity, coverage uniformity and read distribution over the genome structure. RSeQC takes both SAM and BAM files as input, which can be produced by most RNA-seq mapping tools as well as BED files, which are widely used for gene models.

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Systems Transcriptional Activity Reconstruction (tool)

RRID:SCR_005622

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LIMMA (tool)

RRID:SCR_010943

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cutadapt (tool)

RRID:SCR_011841

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RSEM (tool)

RRID:SCR_013027

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topGO (tool)

RRID:SCR_014798

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clusterProfiler (tool)

RRID:SCR_016884

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RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

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F4/80 antibody [CI:A3-1] (antibody)

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Vinculin antibody [EPR8185] (antibody)

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RRID:AB_2241462

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