Project description:Microarray analysis revealed MCP-1 treatment altered protein folding processes in RCC CRL1932 cells. In response to MCP-1 treatment, CRL1932 cells and xenograft tumors expressed MCP-1-induced protein (MCPIP) which was reported to cause endoplasmic reticulum (ER) stress-induced apoptosis in human cardiomyocytes. In line with MCPIP induction, the expression of ER stress mediators, such as GRP78, PERK, IRE1α, and PDI, as well as molecules involved in ER stress-induced apoptosis, CHOP, calnexin, and Ero1α, presented in MCP-1 treated RCC cell line and xenograft tumors whereas absent or downregulated in untreated controls. TUNEL assay confirmed apoptosis of MCP-1 treated CRL1932 cells. MCPIP ectopically expressed in HEK293 cell resulted in apoptosis. Meta-analysis showed low level of MCP-1 associated with lower one year-survival rate after nephrectomy in RCC. In this dataset, we include the expression array data from human kidney cancer CRL-1932 cell line with or without the treatment of MCP-1. These data were used to obtain genes upregulated in MCP-1-treated CRL-1932 cells.
Project description:Peripheral blood monocytes were differentiated into macrophages, starved for 24h hours, and treated for 3h with LPA 18:0, 20:4 or a mix of LPAs similar to the composition in ascites (1 µM 16:0 + 0.25 µm 18:0 + 0.5 µM 18:1 + 1.625 µM 18:2 + 1.625 µM 20:4). RNA expression was measured via QuantSeq.
Project description:blanc-08-01_2012_01_rnapaths_03 - rnapaths--3_02/2012 - Identify the transcript overlap and specificity between the PTGS and decapping/exoribonuclease pathways b identifying transcripts that are significantly changed in double mutants versus single mutants, and transcripts that are commonly changed among the single and double mutants compared to WT. - Identify transcripts that are significantly changed in double mutants (L1 vcs sgs2) (xrn4-5/sgs3-11) versus their respective single mutants (L1 vcs and L1 sgs2) (xrn4-5 and sgs3-11) , and identify transcripts that are changed among the single and double mutants compared to WT (Col) reference or to mutant L1 reference. 20 dye-swap - genotype comparaison
Project description:Mitochondria are essential cellular organelles that participate in important cellular processes, including bioenergetics, metabolism, and signaling. Recent functional and proteomic studies have revealed the remarkable complexity of mitochondrial protein organization. Protein machineries with diverse functions such as protein translocation, respiration, metabolite transport, protein quality control and the control of membrane architecture interact with each other in dynamic networks. The goal of this study was to identify protein expression changes in a human cardiomyocyte cell line treated with several mitochondrial toxicants which inhibit mitochondrial membrane potential (MMP) and mitochondrial respiration. AC16 human cardiomyocyte cells were treated with carbonyl cyanide p-(trifluoromethoxy) phenylhydrazone (FCCP), dinoterb, picoxystrobin, pinacyanol and triclocarban for 18 h around the IC50 values generated from MMP assay. The samples were harvested and labeled with tandem mass tags with different mass isotopes. Peptide assignment was performed in Proteome Discoverer. Each dataset was analyzed in Ingenuity Pathway Analysis (IPA). In the proteomic profile, these compounds showed dysregulation of a group of mitochondrial proteins (e.g. NDUA, NDUB, BCS1, CYB5B and SDHF2), as well as proteins involved in lipid metabolism (e.g. CPT, MECR, and LPGAT1), cytoskeleton protein changes (e.g. CROCC, LAMC3, FBLN1 and FMN2) and stress response (e.g. IKBKG, IKBB, SYVN1, SOD2 and CPIN1). Proteomic data from the current study provides key insights into chemical induced cellular pathway dysregulation, supporting the use of proteomic profiling as a sensitive method to further explore molecular functions and disease pathogenesis upon exposure to environmental chemicals.
Project description:We used a machine-learning framework to systematically discover prognostic long non-coding RNAs (lncRNAs) in 9,446 patient tumors of 30 types. We identified 166 prognostic lncRNAs whose transcript abundance correlated with patient risk and improved the performance of common clinical variables and molecular tumor subtypes. In lower-grade gliomas, discrete activation of HOXA10-AS indicated poor patient prognosis, neurodevelopmental pathway activation and a transcriptomic similarity to glioblastomas. To understand the role of HOXA10-AS in the hallmark pathways of glioma, we used RNA-seq to profile the patient-derived G797 glioma cells with siRNA-mediated HOXA10-AS knockdown (KD) and pcDNA3.1-Neomycin-mediated overexpression (OE) phenotypes. Both KD and OE were validated using RT-PCR. We found a pronounced transcriptional response to HOXA10-AS deregulation with 1,715 and 408 differentially expressed protein-coding genes detected in KD and OE cells, respectively (FDR < 0.05, absolute FC > 1.2), including 23 genes detected in both experiments, as well as known genes involved in glioma biology and Hippo signaling. Our study underscores the pan-cancer potential of the non-coding transcriptome for developing molecular biomarkers and innovative therapeutic strategies.