EGAD00000000051
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA127545
PROVIDER: EGAD00000000051 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Each total RNA sample is hybridized to two different arrays: Affymetrix U133A (GPL96) and U133B (GPL97). For most of the normal tissue samples there is a renal clear cell carcinoma sample from the same patient. There is no matching tumor sample for normal sample N1. For most of the renal clear cell carcinoma samples there is a corresponding adjacent normal tissue sample from the same patient. There are no matching normal tissue samples for C011 or C032. Keywords = kidney Keywords = renal Keywords = RCC Keywords = carcinoma Keywords = cancer Keywords: parallel sample
2003-11-25 | GSE781 | GEO
Project description:Each total RNA sample is hybridized to two different arrays: Affymetrix U133A (GPL96) and U133B (GPL97). For most of the normal tissue samples there is a renal clear cell carcinoma sample from the same patient. There is no matching tumor sample for normal sample N1. For most of the renal clear cell carcinoma samples there is a corresponding adjacent normal tissue sample from the same patient. There are no matching normal tissue samples for C011 or C032. Keywords = kidney Keywords = renal Keywords = RCC Keywords = carcinoma Keywords = cancer Keywords: parallel sample
2003-11-25 | E-GEOD-781 | biostudies-arrayexpress
Project description:The proteome of clinical tissue samples diagnosed with clear cell renal cell carcinoma (ccRCC) and papillary renal cell carcinoma (pRCC) were evaluated analyzed along with the dataset identifier PXD022018 to establish a potential discriminative biomarker panel of proteins for these tumors subtypes.
2021-12-15 | PXD023296 | Pride
Project description:CTCF ChIP-seq of 39 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011059 (dataset).
2023-08-31 | E-MTAB-13117 | biostudies-arrayexpress
Project description:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
2023-08-31 | E-MTAB-13119 | biostudies-arrayexpress
Project description:Transcriptome profiling of de novo-derived ccRCC cell cultures and their matching parental tumours. VHL-mutant and VHL wild-type cultures were established by isolating CA9+ and CA9- cells from tumor samples using FACS. RNASeq expression profiling of 18 renal cell carcinoma samples, including 6 patient tumours, 6 VHL mutant and 6 VHL WT derivative cell cultures
2016-06-01 | E-GEOD-74958 | biostudies-arrayexpress
Project description:Aquaporin-1 (AQP1) has been implicated in tumor progression, including cell migration, invasion, and angiogenesis in various cancers, but its specific role in renal clear cell carcinoma remains incompletely understood. To investigate the transcriptomic changes associated with AQP1 overexpression in renal cancer, we generated stable AQP1-overexpressing RENCA cells (a murine renal cell carcinoma cell line) and corresponding negative control cells using lentiviral transduction. Two weeks post-transduction, total RNA was extracted from three biological replicates per group and subjected to paired-end high-throughput RNA sequencing (RNA-seq). This dataset provides transcriptome profiles comparing AQP1-overexpressing RENCA cells to negative control cells, aiming to identify differentially expressed genes, pathways, and potential mechanisms by which AQP1 influences renal cancer biology. The data may facilitate further studies on AQP1 as a therapeutic target or biomarker in renal clear cell carcinoma.
2026-05-31 | GSE327897 | GEO
Project description:This dataset profiles intra-tumor heterogeneity in renal cell carcinoma using single-cell gene expression analysis. Single-cell transcriptomic profiles were generated to characterize malignant and non-malignant cell populations and to enable comparative analyses between primary and metastatic disease states. Gene expression data were used to derive gene programs that capture transcriptional heterogeneity among renal cell carcinoma cells.
2026-07-20 | GSE328575 | GEO
Project description:Renal cell carcinoma, bladder cancer, and prostate cancer rank among the most common urological malignancies, yet clinically satisfactory non-invasive screening tools for these cancers are still lacking. Here we present an untargeted urine metabolomics dataset generated by liquid chromatography coupled with high-resolution mass spectrometry from 368 clinical urine samples, comprising 249 patients with urological malignancies (194 renal cancer, 39 bladder cancer, and 16 prostate cancer), 62 patients with benign renal , and 57 healthy controls. Clear cell renal cell carcinoma (ccRCC) was the dominant histological subtype in the renal cancer subgroup (170 cases, 87.6%). Chromatographic separation was carried out on an ACQUITY UPLC I-Class system, and detection was performed on a Q Exactive Orbitrap high-resolution mass spectrometer in both positive and negative electrospray ionization modes. Raw data were processed through peak detection, baseline correction, alignment, annotation, and a multi-step normalization pipeline, yielding a final set of 472 metabolic features common to all three groups. The full dataset, along with clinical metadata, data processing scripts, and heatmap visualization code, has been deposited on figshare to support urinary biomarker discovery, diagnostic modeling, and metabolic pathway investigation in urological oncology.
2026-06-27 | MTBLS14865 | MetaboLights
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 74 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood, venous blood, bone marrow and thymus are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. There are 32 EGA data set accessions, which can be found under the Comment[EGA_DATA_SET] column in the 'Sample Data Relationship Format' (SDRF) file of this ArrayExpress record (http://www.ebi.ac.uk/arrayexpress/files/E-MTAB-3827/E-MTAB-3827.sdrf.txt). Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. Likewise, mapping of samples to these EGA accessions can be found in the SDRF file. Please note that the raw data files for 11 sequencing runs have yet been deposited at EGA, so they are marked with \\ot available\\ under the Comment[SUBMITTED_FILE_NAME] field in the SDRF file, and were included for the sake of completeness. Further iInformation on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu\
2015-09-30 | E-MTAB-3827 | biostudies-arrayexpress