CMMC_Decarboxylated_Amino_Acids_with_Odd_Fatty_Acids
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Not Applicable
SUBMITTER: 
Pieter C Dorrestein
PROVIDER: MSV000094497 | MassIVE | Mon Apr 08 16:17:00 BST 2024
REPOSITORIES: MassIVE
Similar Datasets
Project description:Amino acids conjugated with even number carbon fatty acids using a coupling of the chloride fatty acids onto amine end of amino acids
2024-04-08 | MSV000094497 | GNPS
Project description:Capuani2015 - Human Core Catabolic
Network
This model is described in the article:
Quantitative
constraint-based computational model of tumor-to-stroma
coupling via lactate shuttle
Fabrizio Capuani, Daniele De
Martino, Enzo Marinari & Andrea De Martino
Scientific Reports
Abstract:
Cancer cells utilize large amounts of ATP to sustain growth,
relying primarily on non-oxidative, fermentative pathways for
its production. In many types of cancers this leads, even in
the presence of oxygen, to the secretion of carbon equivalents
(usually in the form of lactate) in the cell’s
surroundings, a feature known as the Warburg effect. While the
molecular basis of this phenomenon are still to be elucidated,
it is clear that the spilling of energy resources contributes
to creating a peculiar microenvironment for tumors, possibly
characterized by a degree of toxicity. This suggests that
mechanisms for recycling the fermentation products (e.g. a
lactate shuttle) may be active, effectively inducing a mutually
beneficial metabolic coupling between aberrant and non-aberrant
cells. Here we analyze this scenario through a large-scale in
silico metabolic model of interacting human cells. By going
beyond the cell-autonomous description, we show that elementary
physico-chemical constraints indeed favor the establishment of
such a coupling under very broad conditions. The
characterization we obtained by tuning the aberrant
cell’s demand for ATP, amino-acids and fatty acids and/or
the imbalance in nutrient partitioning provides quantitative
support to the idea that synergistic multi-cell effects play a
central role in cancer sustainment.
This model is hosted on
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MODEL1506170000.
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2015-07-07 | MODEL1506170000 | BioModels
Project description:Normalized relative abundance measurement of amine-conjugated deoxycholic acids in B. fragilis P207 cultures in triplicate. All using positive ionization.
2023-10-04 | MSV000093039 | MassIVE
Project description:We analyzed the genes expressed, or the transcriptome, of bacilli (Mycobacterium tuberculosis) growing in fatty acids as sole carbon source. Using new technologies to massively sequence of RNA molecules we identified a group of genes that provides novel insight regarding the metabolic pathways and transcriptional regulation of latent M. Tuberculosis. Comparative Transcriptomics between two carbon source (Dextrose, Long Fatty Acids), at two states of growth (Exponential and Stationary Phase)
2013-06-13 | E-GEOD-47863 | biostudies-arrayexpress
Project description:Atxn2-Knock-Out mice show branched-chain amino acids and fatty acids pathway alterations
2022-01-14 | E-PROT-16 | ExpressionAtlas
Project description:Data acquired for conjugated bile acids with amino acids analysis of human fecal samples by targeted LC-MS. These samples are a part of a study investigating a new BSH function as an amine N-acyl transferase that conjugates amines to form bacterial bile acid amidates (BBAAs).
2023-10-18 | MSV000093144 | GNPS
Project description:We investigated the effects of one carbon metabolites supplementation on early embryonic development. To this end, the Bovine Embryonic Tracheal Fibroblast cell lines (EBTr; NBL-4; ATCC CCL-44) were cultured under different levels of glucose and OCM (folic acid, choline chloride, vitamin B12, and L-methionine).
2022-03-24 | GSE180362 | GEO
Project description:Amino Acids as a Major Carbon Source for Hepatic Lipogenesis
| PRJNA1102706 | ENA
Project description:Antimicrobial chemicals are widely applied to clean and disinfect food-contacting surfaces. However, the cellular response of bacteria, such as Bacillus cereus, to various disinfectants is unclear. In this study, the physiological and genome-wide transcriptional responses of B. cereus ATCC 14579 exposed to four different disinfectants (i.e., benzalkonium chloride, sodium hypochlorite, hydrogen peroxide, and peracetic acid) were analyzed. The physiological response of B. cereus to different concentrations of the disinfectants used was investigated. For each disinfectant, concentrations leading to the attenuation of growth, growth arrest, and cell death were studied in more detail. The simultaneous analysis of the transcriptional responses of B. cereus upon exposure to the different concentrations of disinfectants revealed common responses induced by the four disinfectants. Notably, genes involved in the general and oxidative stress responses were commonly up-regulated. Furthermore, the obtained results indicate that all the disinfectants also induce specific responses. Exposure to benzalkonium chloride, a disinfectant known to induce membrane damage, specifically induced genes involved in the fatty acid metabolism. Benzalkonium chloride induced-membrane damage was confirmed by fluorescence microscopy and fatty acid analysis confirmed that fatty acid composition of cell membrane was affected upon exposure to benzalkonium chloride. Sodium hypochlorite induced genes involved in sulfur and sulfur-containing amino acids metabolism, which correlated with the observed sodium hypochlorite-specific induction of oxidation of sulphydryl groups. Hydrogen peroxide and peracetic acid exposures induced genes involved in DNA damage and the SOS response. Notably, hydrogen peroxide and peracetic acid-treated cells exhibited higher mutation rates corroborating with the induced SOS response. Understanding the mechanisms displayed by microorganisms coping with disinfectants-induced stress may allow for design of more efficient sequential and/or disinfectant combination treatments in food processing environments.
2010-03-31 | GSE18807 | GEO
Project description:In unicellular organisms, growth rate is the major phenotype that is being selected through evolution. In order to grow efficiently, living cells should synchronize the quantity of their ribosome and RNA polymerase levels according to the respective rates by which amino acids and nucleotides pool are replenished. Gene expression patterns and their relationship with growth rate have been widely investigated in various conditions, and a large set of transcripts which included genes associated with ribosome biogenesis (Ribi) and with the stress response, was shown to be expressed in coordination with cell growth rate. Interestingly, decoupling of this correlation was found for certain mutants and conditions, including in my lab when mutant growth rate was examined and when yeast were grown on xylulose, a carbon source not available in the wild. Under those conditions, amino-acid biosynthesis genes regulated by the GCN4 transcription factor were found to have a strong inverse correlation with growth rate, while Ribi and stress genes showed no such correlation. I hypothesized that this decoupling of the general coupling between growth rate and gene expression is a result of a lack of evolutionary optimization to this carbon source or to genetic mutations. The goal of my study was to examine this hypothesis at a greater depth. To this end, I defined the growth rate and genome-wide expression profile of 328 strains deleted of individual genes that show different levels of growth defect. As predicted, growth rate of those strains was correlated with the expression level of GCN4-dependent genes, but not with the Ribi or stress genes, similar to the correlation observed in our xylulose experiment. 328 S. Cerevisiae deletion strains relatively to the wild type strain
2014-02-07 | E-GEOD-54748 | biostudies-arrayexpress