Project description:Multi-omic absolute quantitative analysis of the yeast (Saccharomyces cerevisiae) mitotic cell cycle. Transcriptomics (RNA-Seq), proteomics (SILAC/ iBAQ), phosphoproteomics (SILAC/ iBAQ, enrichment with TiO2), and untargeted metabolomics (Metabolon, Inc.) were performed, all in biological triplicate. Three sub-projects from this central project were generated, in order of priority: (1) growth on glucose (n= 30 samples) (2) growth on ethanol (n= 21) and (3) pheromone effect (n= 51 samples; combined glucose and ethanol samples). For each sample, every omic type was analysed (n=4; transcriptomic, proteomic, phosphoproteomic, and metabolomic). Total omic samples generated for project = 204.
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: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:Temproral networks of (phospho)-proteins are constructed and analyzed to infer differential interactions under insulin and IGF1 stimulation. In total, 134 antibodies are tested in 21 breast cancer cell lines. The experiments are done in triplicate. Three serum-free-condition time points (5min, 24hr, 48hr) and six stimulation time points (5min, 10min, 30min, 6hr, 24hr, and 48hr) are obtained with either 10 nM IGF1 or 10 nM insulin stimulation.
Project description:This SuperSeries is composed of the following subset Series: GSE24037: Salivary cytokine alterations in HIV infection part 1 GSE24064: Salivary cytokine alterations in HIV infection part 2 Refer to individual Series
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.