Transcriptomics

Dataset Information

0

Different pathogenic stimuli induce specific metabolic rewiring in human monocytes


ABSTRACT: Recent studies have demonstrated that upon encountering a pathogenic stimulus, robust metabolic rewiring of immune cells occurs. A switch away from oxidative phosphorylation to glycolysis, even in the presence of sufficient amounts of oxygen (akin the Warburg effect), is typically observed in activated innate and adaptive immune cells and is thought to accommodate adequate inflammatory responses. However, whether the Warburg effect is a general phenomenon applicable in human monocytes exposed to different pathogenic stimuli is unknown. Our results using human monocytes from healthy donors demonstrate that the Warburg effect only holds true for TLR4 activated cells. Although activation of other TLRs leads to an increase in glycolysis, no reduction or even an enhancement in oxidative phosphorylation is observed. Moreover, specific metabolic rewiring occurs in TLR4 vs. TLR2 stimulated cells characterized by altered gene expression profiles of pathways related to metabolism, changes in spare respiratory capacity of the cells and differential regulation of mitochondrial enzyme activity. Similarly, results from ex vivo and in vivo studies demonstrate metabolic rewiring of immune cells that is highly dependent on the type of pathogenic stimulus. Although the Warburg effect is observed in human monocytes after TLR4 activation, we propose that this typical metabolic response is not applicable to other inflammatory signalling routes including TLR2 in human monocytes. Instead, each pathogenic stimulus and subsequently activated inflammatory signalling cascade induces specific metabolic rewiring of the immune cell to accommodate an appropriate response.

ORGANISM(S): Homo sapiens

PROVIDER: GSE78699 | GEO | 2016/10/19

SECONDARY ACCESSION(S): PRJNA313233

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-05-10 | PXD036036 | Pride
| PRJNA313233 | ENA
2021-08-26 | GSE173431 | GEO
2015-07-08 | E-GEOD-64844 | biostudies-arrayexpress
2021-08-26 | GSE179905 | GEO
2018-03-09 | E-MTAB-6222 | biostudies-arrayexpress
2024-08-01 | GSE273398 | GEO
2024-10-01 | GSE273279 | GEO
2021-02-25 | GSE167480 | GEO
2011-03-15 | E-GEOD-27309 | biostudies-arrayexpress