3883 results for "RNA AND sequencing OR transcriptome"

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• single cell data from HPV-positive head and neck cancer patients receiving induction CTLA-4 and PD-1 immune checkpoint blockade

  Baseline and on-treatment tumor samples from human papillomavirus-positive oropharynx cancer patients receiving anti-CTLA-4 and anti-PD-1 immune checkpoint blockade were analyzed by single-cell RNA and TCR sequencing.

  Study EGAS50000000335

• RNA-Sequencing data of Fusobacterium nucleatum treated CAFs and HT-29 tumor spheroid exposed to Fusobacterium nucleatum treated CAFs conditioned medium.

  RNA-Sequencing data of CAFs (patient derived CAF180 and CAF181 as well as the CT5.3 CAF cell line) and HT-29 tumor spheroid samples performed in the context of the study of the interaction of Fusobacterium nucleatum with CRC CAFs. Fusobacterium nucleatum interacts with cancer-associated fibroblasts to enhance colorectal cancer progression

  Dataset EGAD50000001614

• B cells (CD19) RNAseq dataset of JIA patients with known uveitis status.

  CLUSTER consortium RNA sequencing dataset from UK JIA patient cohort with documented uveitis status. Peripheral blood mononuclear cells (PBMCs) were isolated from blood samples and cryopreserved. Samples were subsequently thawed and flow-sorted for CD19+ B cells prior to RNA sequencing. Clinical metadata includes patient demographics and uveitis status at time of sampling.

  Dataset EGAD50000001616

• SCIMAP PILOT D21

  This dataset includes the RNA-seq and ATAC-seq fastq files, as well as the Cellranger ARC count table, for the first experiment with multimodal sequencing in the SCI-MAP project (1 sample). Here, human induced pluripotent stem cells underwent differentiation to chondrocytes for 21 days following an established protocol. Nuclei were isolated and sequenced in two modalities simultaneously; RNA and ATAC.

  Dataset EGAD50000001516

• Transcriptomic dataset from a phase II study of pembrolizumab and epigenetic modification with azacitidine in platinum-resistant epithelial ovarian cancer

  This dataset includes sequence files from bulk RNA sequencing of tissue biospecimens from a phase II study investigating epigenetic priming followed by immune checkpoint blockade in platinum-resistant epithelial ovarian cancer (NCT02900560). There are 48 bulk RNA sequencing files from 24 specimens included in this dataset.

  Dataset EGAD50000001664

• Transcriptomic and chromatin accessibility profiling in T cells for the MTOR genetics paper.

  This submission contains raw ATAC and RNA sequencing data from human primary CD4+ and CD8+ T cells, either stimulated or unstimulated with anti-CD3/CD28 Dynabeads, from three healthy donors. It includes 24 paired-end FASTQ files consisting of 12 poly(A)-enriched RNA-seq samples and 12 ATAC-seq samples sequenced on the Illumina NextSeq 500 platform.

  Dataset EGAD50000001307

• Single-cell RNA-sequencing of CSF cells and PBMCs from individuals with neurological disorders

  We undertook single-cell RNA sequencing to establish gene expression and lymphocyte receptor sequences of CSF and peripheral blood leukocytes derived from patients with a variety of inflammatory, infectious and non-inflammatory neurological disorders. The aim of the study was the investigation of functional changes of the cells involved in neuroinflammatory responses.

  Dataset EGAD50000001173

• 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

• oncogenic gene fusions in primary colon cancers

  This dataset represents RNA-sequencing data from 278 primary colon cancers obtained from fresh-frozen tumor sections. RNA-sequencing was performed using TruSeq library preparation and samples were sequenced on Illumina NextSeq and HiSeq. The data are available as Illumina NextSeq and HiSeq fastq files (_R1.fastq and _R2.fastq for each tumor sample, 556 files in total).

  Dataset EGAD00001003291

• RNA-sequencing of six Pilocytic astrocytoma tumors

  Total stranded TruSeq RNA sequencing by Illumina of six tumor samples from six cases of pediatric Pilocytic astrocytoma. The data is published in the following paper: Tomic TT, Olausson J, Wilzen A, Sabel M, Truve K, Sjogren H, Dosa S, Tisell M, Lannering B, Enlund F, Martinsson T, Aman P, Abel F. A new GTF2I-BRAF fusion mediating MAPK pathway activation in pilocytic astrocytoma. PLoS One. 2017 Apr 27;12(4):e0175638.

  Dataset EGAD00001003143

• Evolution of four ER+ breast cancers

  The evolution of four breast cancers was analyzed using longitudinal samples collected over 2-15 years. Whole-genome sequencing and single-cell RNA-Seq were used to analyze evolution. We have deposited VCF files for SNV, indel, and structural variant calls from WGS data, and a text file showing transcripts per million (TPM) expression for the single-cell RNA-Seq data.

  Dataset EGAD00001003303

• Data for Paper: Combining transcription factor binding affinities with open chromatin data for accurate gene expression prediction

  mRNA, total RNA, small noncoding RNA, NOMe-Seq and DNase-Seq data from following samples (not every Sequencing Type for every sample): 01_HepG2_LiHG_Ct1 41_Hf01_LiHe_Ct 41_Hf02_LiHe_Ct 41_Hf03_LiHe_Ct 51_Hf03_BlCM_Ct 51_Hf04_BlCM_Ct 51_Hf03_BlEM_Ct 51_Hf04_BlEM_Ct 51_Hf03_BlTN_Ct 51_Hf04_BlTN_Ct Metadata available at deep.dkfz.de

  Dataset EGAD00001002735

• Single cell RNA sequencing of colorectal cancer

  To understand intrinsic cancer cell signatures and the surrounding microenvironemt and their interactions, we performed single-cell RNA sequencing on 63,689 cells from 23 patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analyzing of primary colorectal cancer and normal mucosa samples show a comprehensive cellular landscape of colon cancer, which is a valuable resource for the development of therapeutic strategies.

  Dataset EGAD00001005198

• Human Biofluid RNA Atlas

  This dataset contains small RNA sequencing data and mRNA capture sequencing data from 20 different human biofluids (amniotic fluid, aqueous humor, ascites, bile, bronchial lavage fluid, breast milk, cerebrospinal fluid, colostrum, gastric fluid, pancreatic cyst fluid, plasma, saliva, seminal fluid, serum, sputum, stool, synovial fluid, sweat, tear fluid and urine). In total, 180 samples were sequenced. Files are provided in fastQ format. Samples were sequenced on a NextSeq 500.

  Dataset EGAD00001005439

• RNA-sequencing data from human FSHD and control skeletal muscle biopsies

  This project includes RNA-sequencing data from human FSHD and control skeletal muscle biopsies. This project includes data from 28 FSHD patients (total 37 samples, including vastus lateralis and tibialis anterior muscles) and 12 control individuals (total 24 samples, including vastus lateralis and tibialis anterior muscles).

  Dataset EGAD00001008337

• Whole exome and RNA sequencing data from the OXIRI phase 1b clinical trial in Asian pancreatic ductal adenocarcinoma (PDAC) patients

  This dataset contains 8 samples, each of which has paired-end WXS fastq files for Tumour and Normal samples, as well as RNA-Seq fastq file.

  Dataset EGAD00001008632

• Characterization of OCIAML-22 Fractions via ATAC-Seq, RNA-Seq and WGS

  ATAC-Seq on OCIAML-22 CD34+, CD34-, and Bulk Fractions RNA-Seq on OCIAML-22 CD34+/CD38-, CD34+/CD38+, CD34-/CD38+, CD34-/CD38- Fractions WGS on Donor Bulk, OCIAML-22 Bulk, and CD34+ and CD34- Fractions out of OCIAML-22 Xenografts

  Dataset EGAD00001009271

• scRNA-seq, WES, and bulk RNA-seq on longitudinal samples from 7 Lymphoma patients treated with CD20xCD3 bispecific antibodies

  We performed scRNA-seq on 15 fresh lymph node core biopsies from 7 Lymphoma patients treated with CD20xCD3 bispecific antibodies. We also performed whole-exome sequencing (WES) and bulk RNA-seq on formalin-fixed paraffin embedded (FFPE) tumor samples from these patients. WES was additionally performed on matched germline samples (blood) for each patient.

  Dataset EGAD00001011350

• AHA Uganda Study RNAseq Dataset

  This dataset was generated as part of the AHA Uganda Study, an Acute Rheumatic Fever case-control prospective study conducted in Uganda. This dataset consists of raw fastqs from RNA sequencing for 266 samples (226 cases, 40 controls) from 162 individuals over five timepoints. RNA was extracted from Paxgene blood samples using the Sureselect HS2 library preparation kit. Sequencing was performed on Illumina NovaSeq 6000, yielding ~30-40 million raw paired reads per sample.

  Dataset EGAD00001015810

• RNA sequencing data of pediatric T-cell acute lymphoblastic leukemia (set 1)

  The dataset includes RNA sequencing FASTQ files from a diagnostic tumor sample of one T-ALL patient (ALLK-118) and from a relapse sample from bone marrow of one T-ALL patient (ALLT-317). Data from the diagnostic sample and relapse sample from tonsil of the ALLT-317 patient are in set 2 of this submission. TruSeq Stranded Total RNA Library Prep (Illumina) kit was used in library preparation, and Novogene's internal method was utilized in rRNA removal. The diagnostic and relapse tumor samples were sequenced using Illumina Novaseq 6000, and the target sequencing depth was 21 Gb per sample.

  Dataset EGAD50000002584

• Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data

  In this study, we performed systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarScan2, on both simulated and real single-cell RNA-seq datasets. We generated SMART-seq2 data for 70 CD45- single cells, which were derived from two colorectal cancer patients (P0411 and P0413). The average sequencing depths of these cells were 1.4 million reads per cell. We also generated tumor and adjacent normal bulk WES data, as well as tumor bulk RNA-seq data for these patients.

  Dataset EGAD00001005373

• Single cell RNA-sequencing of tissues from NSCLC patients treated with chemoimmunotherapy

  The goal of this study is to characterize immune cell populations by single cell RNA-sequencing (scRNA-seq) in tumor and uninvolved normal tissues from non-small cell lung cancer (NSCLC) patients with resectable non-small cell lung cancer and who received neoadjuvant chemoimmunotherapy. scRNA-seq was performed on seven pairs of tumor and normal tissues as well as one lymph node (LN) sample. Data set includes pair-end fastq files for single cell RNA sequencing of 7 neo-immuno patients. (Total 15 samples and 50 runs).

  Dataset EGAD00001009778

• Controlling cell differentiation with precision through understanding the structure and dynamics of gene regulatory networks

  We established a set of transgenic human ES cell lines that carry inducible expression gene cassette for singe transcriptional factor induction with Tet-ON system. Transcriptome data was obtained 48h after transgene induction by Microarray. We established inducible human ES lines about more than 700 genes, and achieved microarray analysis on 115 genes. Our data set has multiple characteristic properties; 1) the same platform across data set, 2) analyzed with dynamic cell status, 3) pre-determined initiation point on gene perturbation, 4)inducible in different cell status. In parallele, we also performed RNA sequenncig analysis on 435 transgene induced ES lines as well. 32 transgene induced transcriptome data were obtained from both Microarray and RNA sequencing, normalizing technical gaps between them. We hope those systematic data set to reveal transcriptional network structure and molecular mechanisms of cell differentiation.

  Study JGAS000121

• DCIS_FF_RNAseq

  This RNAseq dataset contains full transcriptome data on n=77 pure DCIS samples. The RNA is derived from fresh-frozen DCIS samples, obtained from two hospital based cohorts (NKI cohort and Oslo cohort). The libraries were sequenced with 54 bp paired end reads using a Novaseq instrument (Illumina). We share fastq data files of paired end sequencing (two files per sample).

  Dataset EGAD50000002123

• RNA-seq of iPSC-derived oligodendrocytes of individuals with and without t(1;11) translocation

  This dataset contains high-throughput RNA-sequencing of 14 samples, each sample comprising oligodendrocytes derived from human induced pluripotent stem cells, from individuals with and without a balanced t(1;11) translocation which substantially increases risk of major mental illness. 5 samples derive from 2 control individuals, and 9 samples from 3 individuals carrying the translocation. Libraries were prepared from each total-RNA sample using the TruSeq Stranded Total RNA with Ribo-Zero kit. Libraries were then sequenced using the NextSeq 500/550 High-Output v2 (150 cycle) Kit on the NextSeq 550 platform. Raw paired-end sequencing data is stored in two FASTQ files per sample.

  Dataset EGAD00001006341