11768 results for "cancer rna-seq"

in 10.27 milliseconds.

• A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity

  We identified a gradated transcriptional program of coordinately regulated inflammation-suppressive genes in psoriatic resident memory T cells. This dataset includes bulk RNA-seq for CRISPR-based deactivation of two core components of this inflammation-suppressive program, ZFP36L2 and ZFP36, in human PBMCs. It also includes scRNA-seq of cutaneous immune cells from psoriasis patients before and during therapeutic IL-23 blockade.

  Study EGAS00001006716

• Detection and genomic analysis of BRAF fusions in Juvenile Pilocytic Astrocytoma through the combination and integration of multi-omic data

  Juvenile Pilocytic Astrocytoma (JPAs) are highly vascular tumors and show pervasive immune infiltration, which can lead to low tumor cell purity in clinical samples. In some instances, this results in gene fusions that are difficult to detect with conventional omics approaches including RNA-Seq. To this effect, we applied RNA-Seq as well as linked-read whole-genome sequencing and in situ Hi-C as new approaches to detect and characterize low-frequency gene fusions at the genomic, transcriptomic and spatial level. Overall, we demonstrate the power of integrating multi-omic datasets to identify low frequency fusions and characterize the JPA genome at high resolution.

  Study EGAS00001006388

• Single-cell RNA-seq data from metastatic ovarian cancer for quality control study

  Quality control is a crucial preliminary step in any single-cell RNAseq experiment, where hard thresholds are commonly used. In order to develop a methodology for a more precise cell filtering in the early steps of a scRNAseq data analysis, we collected tissue samples before chemotherapy from 4 patients.

  Study EGAS00001005066

• RNA-seq of STIC lesions and adjacent normal samples

  In this study, we characterize premalignant lesions of the fallopian tube (serous tubal intraepithelial carcinomas) to explore the earliest events of tumorigenesis following mutation of the TP53 tumor suppressor gene. We conduct laser capture microdissection to isolate premalignant cells from adjacent normal cells, and subject isolated tissues to RNA-seq. Our findings reveal the earliest transcriptional changes established during premalignancy within the fallopian tube.

  Dataset EGAD50000000289

• TIRE-seq_PDN

  TIRE-seq is a novel RNA sequencing method that integrates mRNA purification directly into library preparation, eliminating separate RNA extraction. The technique demonstrated utility across three biological applications, including capturing transcriptional changes in human T cells, identifying genes driving murine dendritic cell differentiation, and analyzing the dose-response effects of temozolomide on patient-derived neurospheres. With its simplified approach and high sequencing efficiency, TIRE-seq offers a cost-effective solution for large-scale gene expression studies.

  Dataset EGAD50000001261

• 3' mRNA- sequencing bams

  This project stores bam files from 3'RNA-seq from oesophageal adenocarcinoma at different timepoints during neoadjuvant treatment (prior, during, post treatment), which were used to analyse evolutionary and phenotype dynamics in oesophageal adenocarcinoma. Samples were collected within the clinical MEMORI trial.

  Study EGAS50000000242

• Single-cell RNA-seq Libraries via 10x Genomics and Illumina NovaSeq

  This dataset contains single-cell RNA-seq libraries prepared using the Chromium Single Cell 5' Library & Gel Bead Kit v1.1 (10x Genomics). Cells were partitioned into nanoliter-scale GEMs for barcoding and reverse transcription, followed by amplification and purification of cDNAs. Libraries were sequenced on an Illumina NovaSeq 6000 using 150 bp paired-end reads, ensuring high-resolution transcriptomic profiling.

  Dataset EGAD50000001680

• Transcriptome analysis of Familial dysautonomia patient cells treated with splice-regulating compounds

  In order to investigate familial dysautonomia patient fibroblasts in response to splice-regulating compounds, cells were treated with RECTAS or TG003 and transcriptome study was conducted by RNA-seq. Splicing profiles of cells in each condition were then analyzed.

  Study JGAS000170

• Transcriptome analysis of Fabry disease iPSC-derived cardiomyocytes treated with splice-regulating compound; RECTAS

  In order to investigate transcriptome profiles in response to splice-regulating compounds, iPSC-derived cardyomyocytes were treated with RECTAS and transcriptome study was conducted by RNA-seq. Splicing profiles of cells in each condition were then analyzed.

  Study JGAS000225

• Analyses of transcriptome and epigenome in cardiac fibroblasts

  We report genome-wide bulk RNA- and ATAC-seq analysis of cardiac fibroblasts isolated from two patients. Cells were pre-treated with either KAT5 inhibitor or vehicle, and their fibrotic responses after TGF-β stimulation was measured.

  Study EGAS50000000835