14995 results for "cancer studies using rna-seq"

in 12.90 milliseconds.

• Identifying the role of ID3 in DNA repair and maintenance of genome integrity (RNA-seq)

  Dataset EGAD00001008198

• tRCC UTSW 2024 Cohort

  This submission contains the WES and RNA-Seq raw data for the study titled 'Comparative Genomics of a Translocation Renal Cell Carcinoma Mouse Model Reveals Molecular Mechanisms of Tumorigenesis.

  Dac EGAC50000000105

• scRNA PDX

  Single cell RNA-seq for PT1-derived PDX samples

  Dataset EGAD00001006134

• JMS dataset

  Juntendo Muscle Study (JMS) dataset comprises 23 samples of paired-end RNA-Seq sequences in fastq format.

  Dataset EGAD00001008983

• RNA-seq data of LMS tumors

  This dataset contains paired fastq files for LMS tumor samples

  Dataset EGAD00001003828

• RNA-seq data of 196 nontumorous human breast tissue

  Transcriptome analysis of nontumorous human breast tissues. 196 cases were included in the dataset.

  Dataset EGAD00001006397

• Facioscapulohumeral muscular dystrophy (FSHD): RNA-seq of isogenic TIRM+, TIRM- muscle and PBMCs from patients and matched controls

  FASTQ files describing paired-end RNA-sequencing of isogenic TIRM+ and TIRM- muscle biopsies from 24 FSHD patients (48 samples) and vastus lateralis muscle biopsies from 11 matched control individuals. FASTQ files are also provided describing RNA-sequencing of 15 FSHD peripheral blood mononuclear samples and 14 matched controls. For muscle biopsies sequencing was at 21.7-35.5 million reads/sample. RNA was extracted from PBMCs followed by globin depletion with sequencing at 19.7-46.5 million reads/sample.

  Dataset EGAD00001011077

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Schizophrenia individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000043

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from normal individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000042

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Bipolar disorder individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000045

• Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies: a dataset from Depression individuals

  Previously there was no neuroimaging database available for research community that incorporated a large Japanese sample of healthy people and patients with neuropsychiatric disorders. Establishing such a database will enable large-scale, neuroimaging-based investigations on pathophysiology of neuropsychiatric disorders by simply using the large data pool or by combining it with investigators' own data sets.

  Study JGAS000044

• Investigation of chromatin accessibility in clear cell renal cell carcinoma using ATAC-seq

  To identify regions of open and accessible chromatin in clear cell renal cell carcinoma (ccRCC), we performed ATAC-seq on the 786-O, A-498, UM-RC-2 ccRCC cell lines, as well as HK-2 normal renal epithelium cell line, cultured under normoxic (20% O2) and hypoxic (0.05% O2) conditions. Data are provided in raw fastq and processed narrowPeak fomats. Data were processed using the nf-core atacseq pipeline.

  Dataset EGAD50000001885

• Combinatorial Indexed 10x Genomics Single-Cell ATAC-seq on Human Cerebral Cortex

  Single-cell chromatin accessibility profiling (scATAC) using droplet fluidics (10x Genomics) is inherently limited in throughput due to the number of available indexed droplets. This study leverages single-cell combinatorial indexing workflows with modified adapter designs to enable indexed tagmentation and superloading of pre-indexed nuclei into the 10x Genomics scATAC workflow, enabling a substantial increase in the number of cell profiles that can be obtained per channel. This workflow, 10x single-cell combinatorial indexed ATAC-seq (txsciATAC), is demonstrated on human brain tissue (middle frontal gyrus), along with mouse brain tissue to enable doublet and crosstalk assessment. This study includes all human data and includes a single preparation taken through nuclei isolation and indexed tagmentation using 96 indexes then split to produce two datasets, one targeting 20k cells and one targeting 70k, each using a single channel of the 10x Chromium controller.

  Study phs003497

• scRNA-seq of Patient-derived tumor fragments (PDTFs)

  scRNA-seq of Patient-derived tumor fragments (PDTFs) which were treated with either Isotype (DP47), Isotype-IL2v (DP47-IL2v), anti-PD1 (PembroPGLALA) or PD1-IL2v (PembroPGLALA-IL2v) for 48 hours. Dataset content: 10 samples from 3 donors File type: paired-end fastq files Protocol: Chromium Single Cell 3' Reagent Kits User Guide (Dual Index) with Feature Barcoding technology for Cell Surface Protein (CG000317) Technology: Illumina sequencing Experimentation: scRNA-seq using the 10X technology

  Dataset EGAD50000000584