12339 results for "cancer rna-seq"

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• Immune Cell Atlas of Environmental and Ancestral Diversity in Indonesia [scRNAseq]

  This dataset contains single-cell RNA, individually reference-aligned data from 203 individuals representing four Indonesian populations: the general urban population of Denpasar and the traditional community of Pedawa Village in Bali, as well as the traditional community of Yoboi Village (in Lake Sentani) and Sereh Village (individuals from highland Papua residing near Lake Sentani) in Papua. The dataset was produced as part of the Immune Cell Atlas of Environmental and Ancestral Diversity in Indonesia, a study aimed at characterizing how genetic background and environmental context shape immune cell states across diverse Indonesian communities.

  Dataset EGAD50000002385

• Single Cell Sequencing of Medulloblastoma Samples

  This dataset contains the results of sequencing 9 samples (7 human/PDX, 2 cell lines) of medulloblastoma tumours (or 2 Neural Stem Cell lines). The data was collected to characterize the intratumour heterogeneity of chromothripsis in this tumour type. The 7 tumour samples underwent single cell DNA and RNA sequencing using the 10x CNVkit and 10xRNA protocols, and 1 of the tumour samples as well as the Neural Stem Cell lines underwent StrandSeq sequencing. All experiments were sequenced on Illumina sequencers. The provided files are paired-end fastq files from the sequencing experiments.

  Dataset EGAD50000000909

• Sequencing data for oesophageal and related samples - OACs release 4 (RNA)

  Dataset EGAD00001004021

• microRNA sequencing data from pediatric obesity lifestyle intervention study

  This dataset contains small RNA sequencing data generated from peripheral blood samples collected from children and adolescents with obesity enrolled in a 12-month multicenter lifestyle intervention study. Libraries were prepared using the QIAseq miRNA Library Kit and sequenced on the Illumina NextSeq platform using single-end 75 bp sequencing. The dataset includes fastq files and associated metadata for the identification of circulating microRNA biomarkers associated with response to lifestyle modification and obesity-related metabolic traits.

  Dataset EGAD50000002758

• TK-EP862 - Patient-derived xenograft model of Posterior Fossa A Ependymoma - WSG data

  In Vivo Loss of Tumorigenicity in a Patient-Derived Orthotopic Xenograft Mouse Model of Ependymoma. Whitehouse et al. 2023 Frontiers in Oncology. We describe the establishment of a patient-derived orthotopic xenograft (PDOX) model of posterior fossa A (PFA) EPN, derived from a metastatic cranial lesion. Patient and PDOX tumors were analyzed using RNA sequencing. WSG data (paired end) provided here correspond to germline DNA, Surgical sample 4 (described in the above manuscript as a cranial metastasis of PFA ependymoma), and a patient-derived xenograft derived from the patient.

  Dataset EGAD00001010008

• Whole Genome-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the whole-genome sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015712

• Identification of molecule relationship between intravenous leiomyomatosis and uterus myoma

  Up to now, there are two hypothesis about the pathogenesis of the relationship of intravenous leiomyomatosis and uterine myoma. One theory suggests that the IVL comes from the smooth muscle cell in the vessel wall.The other theory indicates that the IVL derives from the uterine myometrium. However, limited to the technology, few studies have been deeply explore the underlying relation. In this study, we employ the RNA sequencing to explore the molecule relationship between IVL and uterus myoma. In order to identify the molecule relationship between IVl and uterine myoma we conducted transcriptome sequencing and bioinformaitc analysis

  Dataset EGAD00001003356

• Sequencing data for oesophageal and related samples - Ogden et al (WGS, RNA)

  Data supporting: "Widespread reorganisation of the regulatory chromatin landscape facilitates resistance to inhibition of oncogenic ERBB2 signalling" Ogden et al. WGS for tumour and normal samples. RNAseq for tumour samples.

  Dataset EGAD00001007496

• Orthotopic murine Group 3 medulloblastoma in C57Bl/6 mice treated with saline, cyclophosphamide or gemcitabine

  Mice with medulloblastoma (Group 3) were treated with saline, cyclophosphamide, or gemcitabine as described by Abbas et al (2020). Total RNA was isolated with RNeasy Plus Mini Kit (Qiagen), library preparation (SureSelect, Agilent), rRNA depletion (Ribo-Zero Plus, Illumina) and sequencing were carried out by GenomicsWA or Australian Genome Research Facility. Libraries were sequenced on NovaSeq 6000 S1 flow cells as paired-end 150bp reads (Illumina).

  Dataset EGAD00001008511

• RNA-Sequencing of B-Lymphoblastic Leukemia with Glucocorticoids and PI3K Delta Inhibition

  Mononuclear cells were isolated from bone marrow or peripheral blood of 7 pediatric subjects with B-lymphoblastic leukemia at the time of diagnosis. To determine the effect of PI3K delta inhibition on glucocorticoid-induced gene regulation, B-lymphoblastic leukemia cells were treated with glucocorticoids +/- the PI3K delta inhibitor, idelalisib, for 24 hours prior to RNA extraction and sequencing. Biological replicates were performed for 4 of the 7 subjects; 2 of these subjects had specimens demonstrating an additive response to the combination of glucocorticoids and idelalisib in viability testing in vitro, and 2 subjects' specimens demonstrated a synergistic response. All 7 subjects were analyzed together and the 4 specimens with biological replicates were also evaluated in an additional analysis. An average of 40 million reads per specimen and treatment condition were obtained. We compared gene expression in each treatment condition to vehicle-treated cells and expression in glucocorticoid or idelalisib only treated cells to combination treated cells. Using a high dose of dexamethasone (25 or 50 nM) and an equivalent dose of prednisolone, we found that the addition of idelalisib (500 nM) enhanced prednisolone-induced gene regulation but not dexamethasone-induced gene regulation. Surprisingly, the specimens with additive response to combination therapy demonstrated enhancement of prednisolone-induced gene regulation with the addition of idelalisib, while the specimens with synergistic responses did not. Raw sequencing data (FASTQ) and count tables will be available through dbGaP.

  Study phs003085