11762 results for "cancer rna-seq"

in 26.84 milliseconds.

• Evaluation of protocols for rRNA depletion-based RNA sequencing of nanogram inputs of mammalian total RNA

  Next generation RNA-Sequencing (RNA-seq) is a flexible approach that can be applied to e.g. global quantification of transcript expression, the characterization of RNA structure such as splicing patterns and profiling of expressed mutations. Many RNA-seq protocols require up to microgram levels of total RNA input amounts to generate high quality data, and thus remain impractical for the limited starting material amounts typically obtained from rare cell populations, such as those from early developmental stages or from laser micro-dissected clinical samples. Here, we present an assessment of the contemporary ribosomal RNA depletion-based protocols, and identify those that are suitable for inputs as low as 1-10 ng of intact total RNA and 100-500 ng of partially degraded RNA from formalin-fixed paraffin-embedded tissues.

  Dataset EGAD00001005316

• Comparison_of_transcriptional_response_of_induced_pluripotent_stem__iPS__cell_derived_and_monocyte_derived_macrophages_to_bacterial_lipopolysaccharide_stimulation

  In the first part of this project, we will differentiate IPS cells from 5 human donors into macrophages, and extract RNA from unstimulated and LPS stimulated macrophages to perform RNA sequencing. We will also extract RNA before and after stimulation in blood- derived macrophages from 5 additional, unrelated healthy samples. In the second part of the project, RNA-seq data will be analysed to compare LPS response of these two macrophage populations. In summary, we will perform 75bp PE RNA-seq on 20 samples (10 pre and post stimulus), on the HiSeq 2500 platform. Samples will be multiplexed at 5 samples / lane, so we will require 4 flow cells in total.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000563

• R compatible Seurat's objetc .rds files with count data and metadata from single cell RNA seq analysis to characterize the prostate cancer tumoral microenviroment of 31 fusion biopses.

  Pre-processed Seurat objects with cellular and functional annotation information from the scRNAseq study on PC fusion biopsy samples. The data consists of rds files composed of normalised counts matrices, normalised and scaled counts, functional enrichment counts at the cellular level and metadata with patient grouping and cellular annotation variables. There are 3 .rds files, one with the total cells (SCP_data_analysis), with the selection of cells annotated as cancerous (selected_cancer_analysis) and cancer-associated fibroblasts (selected_caf_analysis).

  Dataset EGAD50000001298

• Oligodendroglia as functional effectors of Multiple Sclerosis risk variants (iPS derived hOPC scCRISPRi/a-seq)

  Study of the regulatory effect of a selection Multiple Sclerosis (MS) associated SNPs applying high-throughput functional genomics in human induced pluripotent stem cell-derived oligodendroglia (iPS-derived hOPCs). Selected cis-regulatory elements were assesed with lentiviral-based pooled single cell (sc)CRISPR-seq screens. CRISPRi/a (dCas9-KRAB and dCas9-p300 respectively) was performed, in combination with direct-capture Perturb-sequencing single-guide RNA (sgRNA) and droplet-based single-cell RNA-seq, allowing high sgRNA capture efficiency and identification of possible transcriptional regulatory mechanisms at a single cell/sgRNA level.

  Study EGAS50000001417

• RNA-Seq studies of Gene Expression in Cells and Networks in FI and ACC in Autism

  RNA-Seq studies of Gene Expression in Cells and Networks in FI (fronto-insular) and AC (anterior cingulate) cortex in Autism. We seek to understand the cellular bases of autism by using a new technology, RNA-Seq, to determine differences in gene expression in autopsy brains of subjects with well described autism versus age and sex matched neurotypical individuals. We have investigated two specific cortical areas involved in self-awareness and social reciprocity which are abnormal in autism and have found increased expression in a network of genes related to inflammation in autism group A, whereas the remaining cases, autism group B, have increased expression in a network of genes related to synapses. The current dbGaP study release includes RNA sequencing and phenotype data of n=27 subjects of African - American, Caucasian, or Hispanic origin.

  Study phs000609

• Discovery of immunotherapy targets for pediatric solid and brain tumors by exon-level expression

  Immunotherapy with chimeric antigen receptor T cells for pediatric solid and brain tumors is constrained by available targetable antigens. Cancer-specific exons present a promising reservoir of targets; however, these have not been explored and validated systematically in a pan-cancer fashion. To identify cancer specific exon targets, we analyze 1,532 RNA-seq datasets from 16 types of pediatric solid and brain tumors for comparison with normal tissues using a newly developed workflow. We find 2,933 exons in 157 genes encoding proteins of the surfaceome or matrisome with high cancer specificity either at the gene (n=148) or the alternatively spliced isoform (n=9) level. Expression of selected alternatively spliced targets, including the EDB domain of fibronectin 1, and gene targets, such as COL11A1, are validated in pediatric patient derived xenograft tumors. We generate T cells expressing chimeric antigen receptors specific for the EDB domain or COL11A1 and demonstrate that these have antitumor activity. The full target list, explorable via an interactive web portal (https://cseminer.stjude.org/), provides a rich resource for developing immunotherapy of pediatric solid and brain tumors using gene or AS targets with high expression specificity in cancer.

  Study EGAS00001007766

• Single cell Human Kidney ADPKD

  This ADPKD project has 3 different experiments, 7 different single cell RNA-seq data, 5 different single nuclei RNA-seq data and 6 different bulk ATAC-seq data objects.

  Dataset EGAD00001009328

• Genetic and epigenetic analysis of individuals with porokeratosis

  We performed genome sequencing���including whole-exome sequencing (WES), whole-genome sequencing (WGS), long-read WGS, and amplicon-seq���along with SNP array, methylation array, and RNA-seq on samples of epidermis (both lesion and non-lesion), peripheral blood, and/or cultured keratinocytes from individuals with porokeratosis.

  Study JGAS000684

• Molecular profiling of acinar cell carcinoma of the salivary glands

  Samples of acinar cell carcinoma (AciCC) of the salivary glands and paired normal salivary gland tissue were analyzed by whole transcriptome RNA-seq (n=10), whole genome sequencing (n=6), whole genome bisulfite sequencing (n=3) and ChIP-seq (H3K27ac, H3K4me3, H3K27me3, NR4A3, CTCF).

  Study EGAS00001002795

• Bulk RNA-seq data of isogenic wild-type RPE1

  Deposited here are time series (6, 24 and 48hrs) bulk RNA-seq data generated from isogenic wild-type (WT) RPE1 untreated or treated with Brequinar (and other dNTP-pool disruptor compounds)

  Dataset EGAD50000001544