E. coli transcription in response to apoptotic metabolites [MeMix]
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ABSTRACT:
PROVIDER: PRJNA1024530 | ENA |
REPOSITORIES: ENA
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Project description:We studied the response to infection and associated perturbations to the bovine liver’s normal function by examining gene transcription data from liver biopsies collected following an E. coli infection in the udder of primiparous dairy cows. This is the first study to examine gene transcription responses to systemic infection by the E. coli bacterium in dairy cows. First, we verified that the inoculation protocol resulted in systemic infection in the cows. This was done based on records on three clinical symptoms: body temperature and amount of E. coli bacteria and leukocytes in milk samples. Second, we examined gene transcription patterns underlying the clinical traits. Gene transcription levels at times of peak values for the clinical traits were estimated in the liver to study indications of an acute phase response to systemic E. coli infection in the cows. Finally, we compared gene transcription responses to E. coli infection and lipopolysaccaride (LPS) inoculation.
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Project description:Brown adipose tissue (BAT) dissipates energy and promotes cardio-metabolic health4. However, loss of BAT during obesity and aging is a principal hurdle for BAT-centered obesity therapies. So far not much is known about BAT apoptosis and signals released by apoptotic brown adipocytes. Here, untargeted metabolomics demonstrated that apoptotic brown adipocytes release a specific pattern of metabolites with purine metabolites being highly enriched. Interestingly, this apoptotic secretome enhances expression of the thermogenic program in healthy adipocytes to maintain tissue functionality. This effect is mediated by the purine inosine which stimulates energy expenditure (EE) in brown adipocytes. Phosphoproteomic analysis demonstrated activation of the cAMP/protein kinase A signaling pathway and of pro-thermogenic transcription factors by inosine.
2022-05-31 | PXD032153 | Pride
Project description:Apoptosis accounts for ~ 90% of homeostatic cell turnover in the body1. While caspase-dependent apoptosis is known to influence immune tolerance, induction of cell proliferation, and tissue regeneration2-4, how these apoptotic cells contribute to such diverse effects is less understood. Soluble factors released from apoptotic cells could be a means of ‘talking’ to healthy cells in the tissue neighborhood. While a few phagocyte-attracting ‘find-me’ signals released from apoptotic cells are known5, the larger ‘metabolite secretome’ from apoptotic cells is not yet defined. Here, via unbiased profiling of the apoptotic cell secretome, we identified 123 metabolites that are specifically released during apoptosis, while cells still retain membrane integrity. Release of ~25 of these metabolites is dependent on Pannexin 1 (Panx1) channels, which are opened by caspase-dependent cleavage during apoptosis. Interestingly, one of the Panx1-dependent metabolites from apoptotic cells is spermidine, a polyamine whose release could be, in part, due to the continued metabolic activity of dying cells. RNAseq analysis of healthy cells exposed to the apoptotic secretome revealed Panx1-dependent gene programs, including genes linked to suppression of inflammation, cell proliferation, and wound healing. Analysis of the apoptotic secretome across cell types and different apoptotic stimuli, identified a core “set” of 8 Panx1-dependent metabolites. Strikingly, a selected cocktail of these metabolites demonstrated significant immunosuppressive effects by potently reducing disease severity in an inflammatory arthritis model and a lung graft rejection model. Collectively, these data advance the concept that apoptotic cells are not ‘inert’ corpses waiting for removal by phagocytes, but rather they actively communicate with the tissue environment through their metabolite secretome, with implications in tissue inflammation.
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Project description:Bacterial lifestyle switch in response to algal metabolites
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Project description:E. coli O157:H7 can use vegetables such as spinach as secondary hosts, from where they can be transmitted into the food chain. Our previous microarray analysis showed whole-scale changes in gene expression of E. coli driven in a large part in response to plant metabolites. The aim of this work was to expand beyond the inherent limitations of microarray analysis, taking an RNA-seq approach to analyse the same samples.
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