Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Cell division cycle in a human cancer cell line (HeLa)

ABSTRACT: This experiment set contains the complete set of raw data for Whitfield et al. (2002)Mol.Biol.Cell. HeLa S3 cells were synchronized by three different methods (double thymidine block, thymidine-nocodazole block or mitotic shake-off)in five independent time courses. mRNA from the first and second double thymidine block experiments were converted to cDNA by standard methods using an oligo-dT/random hexamer mix and hybridized to 24K arrays; mRNA from the third double thymidine and thymidine-nocodazole block experiments were converted to cDNA using olido-dT alone and hybridized to 43K arrays; total RNA from the mitotic shake-off experiment was first amplified using a modified eberwine protocol, aRNA converted to cDNA by reverse transcription with random hexamer and hybridized to 43K arrays. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed

ORGANISM(S): Homo sapiens

SUBMITTER:

PROVIDER: E-GEOD-3497 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of genes periodically expressed in the human cell cycle and their expression in tumors.

Whitfield Michael L ML Sherlock Gavin G Saldanha Alok J AJ Murray John I JI Ball Catherine A CA Alexander Karen E KE Matese John C JC Perou Charles M CM Hurt Myra M MM Brown Patrick O PO Botstein David D

Molecular biology of the cell 20020601 6

The genome-wide program of gene expression during the cell division cycle in a human cancer cell line (HeLa) was characterized using cDNA microarrays. Transcripts of >850 genes showed periodic variation during the cell cycle. Hierarchical clustering of the expression patterns revealed coexpressed groups of previously well-characterized genes involved in essential cell cycle processes such as DNA replication, chromosome segregation, and cell adhesion along with genes of uncharacterized function. ...[more]

PMID: 12058064

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Project description:Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes. Whole-genome DNA microarrays were used to profile gene expression and CNAs in a collection of 52 widely-used breast cancer cell lines, and comparisons were made to existing profiles of primary breast tumors. Hierarchical clustering was used to identify gene-expression subtypes, and Gene Set Enrichment Analysis (GSEA) to discover biological features of those subtypes. Genomic and transcriptional profiles were integrated to discover within high-amplitude CNAs candidate cancer genes with coordinately altered gene copy number and expression. Transcriptional profiling of breast cancer cell lines identified one luminal and two basal-like (A and B) subtypes. Luminal lines displayed an estrogen receptor (ER) signature and resembled luminal-A/B tumors, basal-A lines were associated with ETS-pathway and BRCA1 signatures and resembled basal-like tumors, and basal-B lines displayed mesenchymal and stem-cell characteristics. Compared to tumors, cell lines exhibited similar patterns of CNA, but an overall higher complexity of CNA (genetically simple luminal-A tumors were not represented), and only partial conservation of subtype-specific CNAs. We identified 80 high-level DNA amplifications and 13 presumptive homozygous deletions, and the resident genes with concomitantly altered gene-expression, highlighting known and novel candidate breast cancer genes. Overall, breast cancer cell lines were genetically more complex than tumors, but retained expression patterns with relevance to the luminal-basal subtype distinction. The compendium of molecular profiles defines cell lines suitable for investigations of subtype-specific pathobiology, biomarkers and therapies, and provides a resource for discovery of new breast cancer genes. HEEBO oligonucleotide microarrays from the Stanford Functional Genomics Facility were used to perform gene expression profiling of 50 human breast epithelial cell lines, in comparison to a universal RNA reference. Expression data were analyzed by hierarchical clustering to identify subgroups, and gene set enrichment analysis to identify subgroup-specific gene pathways.

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Dataset Information

Cell division cycle in a human cancer cell line (HeLa)

Publications

Identification of genes periodically expressed in the human cell cycle and their expression in tumors.

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