2f022d00-f5f7-47b6-8fed-e5df11c0a7f7 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001005491 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:This gene expression set contains data from patients included in the HOVON95 clinical trial. Using this data the relation between a signature identifying patients with aggressive biology and clinical parameters was studied in newly diagnosed multiple myeloma patients. This dataset was used to identify the relationship between a signature for aggressive disease and clinical parameters.
2022-06-01 | GSE164706 | GEO
Project description:The fallopian tube (FT) has been proposed as a potential site of origin for high-grade serous ovarian cancer (HGSOC), supporting investigation of genomic alterations across matched tissues. This dataset includes whole-genome sequencing (WGS) and DigiPico data from matched samples, including peripheral blood mononuclear cells (PBMCs), fallopian tube tissue, and tumor tissue from HGSOC patients. The data support analysis of germline and somatic variants, copy number alterations (CNAs), and neoantigen prediction across matched sample types. This submission contains the WGS data DigiPico data associated with this study.
2026-04-07 | GSE301180 | GEO
Project description:This dataset contains data-independent acquisition (DIA) proteomics data generated from K562 human leukemia cells treated with coffee extract or vehicle control. Quantitative proteomic analysis was performed to investigate molecular mechanisms underlying coffee-induced epigenetic remodeling. The proteomics dataset was integrated with histone modification profiling, ChIP-seq and RNA-seq analyses to characterize pathways associated with histone acetylation and MYC transcriptional regulation.
2026-07-08 | PXD080702 | JPOST Repository
Project description:The inactive X chromosome’s (Xi) physical territory is microscopically devoid of transcriptional hallmarks and enriched in silencing-associated modifications. How these microscopic signatures relate to specific Xi sequence is unknown. This study reports the profiling of Xi gene expression and chromatin states at high-resolution via allele-specific sequencing in F1 hybrid mouse trophoblast stem cells (TSCs). Datasets provided include those generated from strand-specific RNA-Seq, ChIP-Seq, FAIRE-Seq, and DNase-Seq protocols. Included for each dataset are FASTQ files, BED alignments and WIG files with coordinates relative to UCSC genome build mm9, and _snp files that report the location of all SNP-overlapping reads. The F1 TSC lines profiled were generated from crosses between CAST/EiJ (Cast) and C57BL/6J (B6) mice. C/B denotes a Cast mother and B6 father, and B/C denotes a B6 mother and Cast father.
2012-11-21 | E-GEOD-39406 | biostudies-arrayexpress
Project description:This dataset contains collected RNASeq data of 552 samples from the GOYA clinical trial.
2019-02-01 | GSE125966 | GEO
Project description:This dataset contains bulk RNA sequencing data from primary tumor biopsy samples of patients with prostate adenocarcinoma. TPM-normalized expression values are provided along with sample metadata. The data were generated to support transcriptomic profiling of human prostate tumors and are related to a companion single-cell RNA-seq dataset from the same cohort.
2025-11-19 | GSE297742 | GEO
Project description:Chromosomal copy number variations (CNV) have been associated with various neurological and developmental disorders and chromosomal microarray (CMA) is a method of choice to diagnose Copy Number Gain/Loss syndromes. Recently, next-generation sequencing (NGS)-based low-coverage whole genome sequencing (LC-WGS) has been applied to detect Copy Number Gain/Loss syndromes. This dataset is intended to be used as a “Golden standard data set” for development of LC-WGS analysis method. It consists of patients (n=63) who have a mental delay and/or physical disability phenotype and normal (n=20) phenotype.
2018-09-29 | GSE120624 | GEO
Project description:This gene expression set contains data from patients included in the HOVON143 clinical trial. Using this data the relation between circulating tumor cells and gene expression patterns was studied in newly diagnosed multiple myeloma patients.
2022-06-01 | GSE164830 | GEO
Project description:Purpose: Multiple myeloma is a malignancy of plasma cells. Extensive genetic and transcriptional characterization of myeloma has identified subtypes with prognostic and therapeutic implications. In contrast, relatively little is known about the myeloma epigenome. Experimental Design: CD138+CD38+ myeloma cells were isolated from fresh bone marrow aspirate or the same aspirate after freezing for one to six months. Gene expression and chromatin accessibility were compared between fresh and frozen samples by RNA-seq and ATAC-seq. Chromatin accessible regions were used to identify regulatory RNA expression in over 700 samples from newly diagnosed patients in the MMRF CoMMpass trial (NCT01454297). Results: Gene expression and chromatin accessibility of cryopreserved myeloma recapitulated that of freshly isolated samples. ATAC-seq performed on a series of biobanked specimens identified thousands of chromatin accessible regions with hundreds being highly coordinated with gene expression. Over 4,700 of these chromatin accessible regions were transcribed in newly diagnosed myelomas from the CoMMpass trial. Regulatory element activity alone recapitulated myeloma gene expression subtypes, and in particular myeloma subtypes with IGH translocations were defined by transcription of distal regulatory elements. Moreover, enhancer activity predicted oncogene expression implicating gene regulatory mechanisms in aggressive myeloma. Conclusions: These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.
2021-03-03 | GSE167967 | GEO
Project description:We have analyzed gene expression microarray datasets from four different clinical trials to assess accuracy of gene expression based signature in predicting treatment complete response in patients with multiple myeloma. Two of four datasets were made available via The Intergroupe Francophone du Myélome (IFM) group, and remaining two datasets were downloaded from NCBI GEO portal with accession IDs: GSE19784 (HOVON65/GMMG-HD4 trial) and GSE9782 (APEX/SUMMIT trial). Analysis UUID: datasets_archive--2afcd42a-7e12-11e3-9145-5fcc1e060548--15-Jan-2014-12-23-44-CST. Following dataset provides gene expression microarray dataset for IFM-2005 trial involving 67 newly diagnosed patients with MM. A second and larger dataset involving 136 newly diagnosed patients with MM from IFM-2005 trial can be accessed via NCBI GSE ID: GSE39754.
2014-04-21 | GSE55145 | GEO