Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human ovarian carcinomas

ABSTRACT: Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Ovarian cancer specimens and cell lines were clustered based on variation of expression of 1,558 genes, as detailed in Methods. Genes were clustered based on similarity in their expression patterns among these cancers. Eight gene clusters are highlighted in this display. (A) Lymphocyte cluster, (B) Epithelial/Keratin expression (C) Ascites Signature, (D) Clear cell over-expressed genes, (E) Extracellular Matrix/Stromal cluster, (F) Proliferation cluster, (G) Heterogeneity across ovarian cases, and (H) Clear cell under-expressed genes. The color contrast of the scale bar indicates the fold of gene expression change in log2 space (numbers above the bar).

ORGANISM(S): Homo sapiens

SUBMITTER: Janos Demeter

PROVIDER: E-SMDB-2253 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Gene expression patterns in ovarian carcinomas.

Schaner Marci E ME Ross Douglas T DT Ciaravino Giuseppe G Sorlie Therese T Troyanskaya Olga O Diehn Maximilian M Wang Yan C YC Duran George E GE Sikic Thomas L TL Caldeira Sandra S Skomedal Hanne H Tu I-Ping IP Hernandez-Boussard Tina T Johnson Steven W SW O'Dwyer Peter J PJ Fero Michael J MJ Kristensen Gunnar B GB Borresen-Dale Anne-Lise AL Hastie Trevor T Tibshirani Robert R van de Rijn Matt M Teng Nelson N NN Longacre Teri A TA Botstein David D Brown Patrick O PO Sikic Branimir I BI

Molecular biology of the cell 20030905 11

We used DNA microarrays to characterize the global gene expression patterns in surface epithelial cancers of the ovary. We identified groups of genes that distinguished the clear cell subtype from other ovarian carcinomas, grade I and II from grade III serous papillary carcinomas, and ovarian from breast carcinomas. Six clear cell carcinomas were distinguished from 36 other ovarian carcinomas (predominantly serous papillary) based on their gene expression patterns. The differences may yield insi ...[more]

PMID: 12960427

Dataset Information

Transcription profiling of human ovarian carcinomas

Publications

Gene expression patterns in ovarian carcinomas.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Similar Datasets

Identification of Novel Therapeutic Targets in Microdissected Clear Cell Ovarian Cancers
2011-05-24 | E-GEOD-29450 | biostudies-arrayexpress

Identification of Novel Therapeutic Targets in Microdissected Clear Cell Ovarian Cancers
2011-05-24 | GSE29450 | GEO

Gene expression profiles of primary cultured ovarian cells in the presence and absence of a DNA methyltransferase inhibitor
2010-11-17 | E-GEOD-25427 | biostudies-arrayexpress

Gene expression profiles of primary cultured ovarian cells in the presence and absence of a DNA methyltransferase inhibitor
2010-11-17 | GSE25427 | GEO

Proteome analyses of two ovarian clear cell carcinoma cell lines with or without ARID1A manipulation
2016-07-13 | MSV000079904 | MassIVE

Integrative proteomic profiling of ovarian cancer cell lines reveals precursor-cell associated proteins and functional status
2016-08-24 | PXD003668 | Pride

Cisplatin-Induced Changes in Proteomic Profiles of Ovarian Cancer Cell and HaCaT Secretomes
2024-05-29 | PXD045663 | Pride

Integrative proteomic profiling of ovarian cancer cell lines reveals precursor-cell associated proteins and functional status
2017-03-30 | MSV000080814 | MassIVE