Dataset Information

Deep quantitative proteomics underlies extensive metabolic reprogramming and cancer-like changes of ectopic endometriotic stromal cells

ABSTRACT: Endometriosis is a prevalent health condition in women of reproductive age characterized by ectopic growth of endometrial tissue in the extrauterine environment. Thorough understanding of the molecular mechanisms underlying the disease are still lacking and incomplete. We dissect eutopic and ectopic endometrial primary stromal cell proteomes to a depth of nearly 6900 proteins using quantitative mass-spectrometry with a spike-in SILAC standard. Acquired data reveal metabolic reprogramming of ectopic stromal cells of endometriosis with extensive upregulation of glycolysis and down-regulation of oxidative respiration – a wide-spread metabolic phenotype previously described in many cancers. Our results also underlie other molecular changes of ectopic endometriotic stromal cells indicating reduced apoptotic potential, increased cellular adhesiveness/invasiveness and altered immune function. The changes related to metabolism are additionally reflected by attenuated aerobic respiration of ectopic endometrial stromal cells measured by live cell oximetry and by altered mRNA levels. These comprehensive proteomics data refine the current understanding of endometriosis presenting potential new avenues for therapies.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Dr Andres Salumets

PROVIDER: MSV000080276 | MassIVE | Sat Oct 22 00:11:00 BST 2016

SECONDARY ACCESSION(S): PXD002845

REPOSITORIES: MassIVE

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Publications

Deep Quantitative Proteomics Reveals Extensive Metabolic Reprogramming and Cancer-Like Changes of Ectopic Endometriotic Stromal Cells.

Kasvandik Sergo S Samuel Külli K Peters Maire M Eimre Margus M Peet Nadežda N Roost Anne Mari AM Padrik Lee L Paju Kalju K Peil Lauri L Salumets Andres A

Journal of proteome research 20151223 2

Endometriosis is a prevalent health condition in women of reproductive age characterized by ectopic growth of endometrial-like tissue in the extrauterine environment. Thorough understanding of the molecular mechanisms underlying the disease is still incomplete. We dissected eutopic and ectopic endometrial primary stromal cell proteomes to a depth of nearly 6900 proteins using quantitative mass spectrometry with a spike-in SILAC standard. Acquired data revealed metabolic reprogramming of ectopic ...[more]

PMID: 26654049

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Project description:The molecular interactions between the maternal environment and the developing embryo that are key for early pregnancy success are known to be influenced by factors such as maternal metabolic status. Our understanding of the mechanism(s) through which these individual nutritional stressors alter endometrial function and the in utero environment for early pregnancy success is, however, limited. Here we report, for the first time, the use of an endometrium-on-a-chip microfluidics approach to produce a multi-cellular endometrium in vitro, that was exposed to glucose and insulin concentrations associated with maternal metabolic stressors. Following isolation of endometrial cells (epithelial and stromal) from the uteri of non-pregnant cows in the early-luteal phase (Day 4-7 approximately), epithelial cells were seeded in the upper chamber of the device (4-6 104 cells/mL) and stromal cells seeded in the lower chamber (1.5-2 104 cells/mL). Three different concentration of glucose (0.5, 5.0 or 50 mM) or insulin (Vehicle, 1 or 10 ng/mL) were performed in the endometrial cells at a flow rate of 1µL/min for 72 hr to mimic the rate of secretion in vivo. Quantitative differences in the transcriptomic response of the cells and the secreted proteome of in vitro-derived uterine luminal fluid (ULF) were determined by RNA-sequencing and Tandem Mass Tagging Mass Spectrometry (TMT), respectively. Changes in maternal glucose altered 21 and 191 protein-coding genes in epithelial and stromal cells, respectively (p<0.05), with a dose-dependent quantitative change in the protein secretome (1 and 23 proteins in epithelial and stromal cells, respectively). Altering insulin concentrations resulted in limited transcriptional changes including transcripts for insulin-like binding proteins that were cell specific (5, 12, and 20) but altered the quantitative secretion of 196 proteins including those involved in extracellular matrix-receptor interaction and proteoglycan signaling in cancer. Collectively, these findings highlight one potential mechanism by which changes to maternal glucose and insulin associated with metabolic stress may alter uterine function.

Dataset Information

Deep quantitative proteomics underlies extensive metabolic reprogramming and cancer-like changes of ectopic endometriotic stromal cells

Publications

Deep Quantitative Proteomics Reveals Extensive Metabolic Reprogramming and Cancer-Like Changes of Ectopic Endometriotic Stromal Cells.

Similar Datasets

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