TCR variable regions transcripts of CT26-shppp2r1a and CT26-scr samples
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA781570 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:TCR variable regions transcripts of three CT26-shppp2r1a samples and three CT26-scr samples
2021-11-20 | GSE189092 | GEO
Project description:Goal: Microsatellite-instable (MSI) tumors are one of the few cancers that respond to immune checkpoint blockade (ICB); however, the mechanism of MSI status development is unclear. Here, we report that protein phosphatase 2A (PP2A) deletion or inactivation converted cold microsatellite-stable (MSS) into MSI tumors. Objectives: Using RNA sequencing data of three CT26-shppp2r1a data and a CT26-scr data, we demonstrate that these intestinal tumors display differential core driver pathways.
2021-08-26 | GSE182571 | GEO
Project description:RNA sequencing data of CT26-shppp2r1a and CT26-scr samples
| PRJNA756949 | ENA
Project description:Diversity of the T-cell receptor (TCR) repertoire is central to adaptive immunity. The TCR is composed of α and β chains, encoded by the TRA and TRB genes, of which the variable regions determine antigen specificity. To generate novel biological insights into the complex functioning of immune cells, combined capture of variable regions and single-cell transcriptomes provides a compelling approach. Recent developments enable the enrichment of TRA and TRB variable regions from widely used technologies for 3’-biased single-cell RNA-sequencing (scRNA-seq). However, a comprehensive computational pipeline to process TCR-enriched data from 3’ scRNA-seq is not available. Here we present an analysis pipeline to process TCR variable regions enriched from 3’ scRNA-seq cDNA. The tool reports TRA and TRB nucleotide and amino acid sequences linked to cell barcodes, enabling the reconstruction of T-cell clonotypes with associated transcriptomes. We demonstrate the software using peripheral blood mononuclear cells (PBMCs) from a healthy donor and detect TCR sequences in a high proportion of single T-cells. Detection of TCR sequences is negligible in non-T-cell populations, demonstrating specificity. Finally, we show that TCR clones are larger in CD8 Memory T-cells than other T-cell types, indicating an association between T-cell clonotypes and differentiation states.
2022-04-08 | GSE195956 | GEO
Project description:RNA-Seq of CT26 mouse colorectal carcinoma and gene expression profiling
2014-02-07 | E-MTAB-2292 | biostudies-arrayexpress
Project description:Variable strengths of T cell receptor (TCR) signaling can produce divergent outcomes for T cell development and function. The mechanisms leading to different outcomes are incompletely understood, but may include distinct activation thresholds for different transcription factors as well as distinct sensitivities among target genes to transcription factors. IRF4 is one transcription factor implicated in responses to variable TCR signal strength. IRF4 expression increases uniformly with increasing TCR signal strength (i.e., analog), but it is unclear how IRF4 induced distinct genes at different levels, rather than different amounts of the same genes. Here, we analyzed global gene expression in TH2 cells and used ChIP-seq to define the relationship between TCR signal strength, enhancer occupancy and transcriptional activity for BATF/IRF4-dependent genes. We show that enhancers exhibit a spectrum of affinity for the BATF/IRF4 ternary complex mediate graded responsiveness of individual genes to increasing TCR signal strength. Differential gene induction by BATF and IRF4 occurs through interaction with enhancer elements of different affinity for BATF/IRF4 complexes. The increased resolution of factor binding site identified using ChIP-exo allowed the identification of a novel AICE2 motif binding BATF/IRF4 with higher affinity and that this may explain the protective role of a single nucleotide polymorphism in the CTLA-4 locus known to decrease the incidence of autoimmune diseases.
2017-03-27 | GSE85173 | GEO
Project description:Transcriptional profiling of the vegetative part of Arabidopsis comparing wild type with the shr scl23 scr triple mutant. The latter is produced by crossing the strong null alleles of shr (shr-2), scl23 (scl23-1) and scr (scr-5). The goal was to determine the effects of the GRAS transcription factors SHR, SCL23 and SCR on growth and development of the Arabidopsis shoot system by global transcriptome analysis.
2012-10-11 | GSE41478 | GEO
Project description:To investigate the role of TGF-M-NM-21-regulated miRNAs in the progression of colorectal cancer,we performed comprehensive miRMA microarray analysis on RNA derived from CT26 cell lines and TGF-M-NM-21 knock-down CT26 cell lines. We identified a novel set of TGF-M-NM-21-related miRNAs. Total RNA was isolated from TGF-M-NM-21-knock down CT26 cell lines and controls.Three-condition experiment: Locked nucleic acid microarray analyses to obtain miRNA expression profiles independently in TGFM-NM-21-knocked down CT26 and control cell line at three different time (24hours, 48hours and 72hours).Biological replicates: 1 CT26 cells stably transfected with shRNA-TGF-M-NM-21- pSUPER gfp-neo for 24hours, 1 CT26 cells stably transfected with shRNA-TGF-M-NM-21- pSUPER gfp-neo for 48hours, 1 CT26 cells stably transfected with shRNA-TGF-M-NM-21- pSUPER gfp-neo for 72hours, 1 CT26 cells stably transfected with shRNA-Control- pSUPER gfp-neo for 24hours, 1 CT26 cells stably transfected with shRNA- Control- pSUPER gfp-neo for 48hours, 1 CT26 cells stably transfected with shRNA-Control- pSUPER gfp-neo for 72hours, independently grown and harvested. One replicate per array.
2013-12-16 | E-GEOD-53337 | biostudies-arrayexpress
Project description:Transcriptional profiling of the vegetative part of Arabidopsis comparing wild type with the shr scl23 scr triple mutant. The latter is produced by crossing the strong null alleles of shr (shr-2), scl23 (scl23-1) and scr (scr-5). The goal was to determine the effects of the GRAS transcription factors SHR, SCL23 and SCR on growth and development of the Arabidopsis shoot system by global transcriptome analysis. Two-condition experiment: Col-0 vs. shr scl23 scr triple mutant. Biological replicates: 2 WT vs. triple mutant replicates, 2 WT vs. triple mutant replicates dye-swap replicates.
2012-10-11 | E-GEOD-41478 | biostudies-arrayexpress