In order to confirm the role of fatty acid -oxidation in Src regulation, we performed gene expression analysis in MDA231 cells from in vivo model treated with ETX or knockdown of CPT1 or CPT2 using shRNA. As expected, inhibition of -oxidation showed a gene expression pattern that is opposite to the published Src regulated gene pattern. The known Src up-regulated genes are down-regulated and Src down-regulated genes are up-regulated in -oxidation inhibited cells. Western Blotting further confirmed the gene expression pattern. Knockdown of CPT1 or CPT2 inhibited Src Y416 autophosphorylation as observed with ETX.
Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer.
Cell line
View SamplesWe used a transmitochondrial cybrid (cybrids)-based discovery approach to identify mitochondria-regulated cancer pathways in TN BCa. Cybrids were generated under a moderately metastatic TN BCa cell line SUM159 as the common nuclear background with mitochondria from benign breast epithelium (A1N4) and moderately metastatic (SUM159) TN BCa cells. In vitro and in vivo studies suggested that even under the common moderately cancerous nuclear background, mitochondria from benign cells inhibit and metastatic cell induce cancer properties of a moderately aggressive TN BCa cell. Gene expression studies identified c-Src onco-pathway as one of the major cancer pathways altered according to the mitochondria status of the cybrids.
Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer.
Specimen part
View SamplesTriple-negative breast cancer (TNBC) is defined by the absence of estrogen and progesterone receptors and human epidermal growth factor receptor 2, and is the most lethal and aggressive subtype of breast cancer. However, the genes which relate to promote tumor aggressiveness in TNBC remain unclear.
Molecular hierarchy of heparin-binding EGF-like growth factor-regulated angiogenesis in triple-negative breast cancer.
Sex, Specimen part, Disease, Disease stage, Cell line
View SamplesChanges in gene regulation have long been known to play important roles in both innate and adaptive immune responses. However, post-transcriptional mechanisms involved in mRNA processing have been poorly studied despite emerging examples of their role as regulators of immune defenses. We sought to investigate the role of mRNA processing in the cellular responses of human macrophages to live bacterial infections. Overall design: Transcriptomic profiles of 198 infected (Listeria and Salmonella) and non-infected samples at multiple time points.
Adaptively introgressed Neandertal haplotype at the OAS locus functionally impacts innate immune responses in humans.
No sample metadata fields
View SamplesDNA methylation is an epigenetic mark thought to be robust to environmental perturbations on a short time scale. Here, we challenge that view by demonstrating that the infection of human dendritic cells with a live pathogenic bacteria is associated with rapid changes in methylation levels at thousands of loci. We performed an integrated analysis of data on genome-wide DNA methylation, histone mark patterns, chromatin accessibility, and gene expression, before and after infection. We found that infection-induced changes in methylation rarely occur at promoter regions and instead localize to distal enhancer elements. Active demethylation is associated with extensive epigenetic remodeling, including the gain of histone activation marks and the induction of enhancer RNAs, and is strongly predictive of changes in the expression levels of nearby genes. Collectively, our observations show that active, rapid changes in DNA methylation in enhancers play a previously unappreciated role in regulating the transcriptional response of immune cells to infection. Overall design: Transcriptional profiles (polyA+) of 6 non-infected and 6 MTB-infected dendritic cell samples.
Bacterial infection remodels the DNA methylation landscape of human dendritic cells.
No sample metadata fields
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