Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional analysis of an E2F gene signature as a biomarker of activity of the cyclin-dependent kinase inhibitor PHA-793887 in tumor and skin biopsies from a phase I clinical study

ABSTRACT: Microarray analysis of transcriptional changes in biopsies of solid tumors from patients treated in a Phase I study with the Cdk inhibitor PHA-793887. 7 patient biopsies pre- and post-treatment in dye swap. Tumors are of different origins, and are described in the accompanying manuscript.

ORGANISM(S): Homo sapiens

SUBMITTER: JC Soria

PROVIDER: E-GEOD-18553 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Transcriptional analysis of an E2F gene signature as a biomarker of activity of the cyclin-dependent kinase inhibitor PHA-793887 in tumor and skin biopsies from a phase I clinical study.

Locatelli Giuseppe G Bosotti Roberta R Ciomei Marina M Brasca Maria G MG Calogero Raffaele R Mercurio Ciro C Fiorentini Francesco F Bertolotti Matteo M Scacheri Emanuela E Scaburri Angela A Galvani Arturo A Pesenti Enrico E De Baere Thierry T Soria Jean-Charles JC Lazar Vladimir V Isacchi Antonella A

Molecular cancer therapeutics 20100427 5

A transcriptional signature of the pan-cyclin-dependent kinase (Cdk) inhibitor PHA-793887 was evaluated as a potential pharmacodynamic and/or response biomarker in tumor and skin biopsies from patients treated in a phase I clinical study. We first analyzed the expression of a number of known E2F-dependent genes that were predicted to be modulated after Cdk2 and Cdk4 inhibition in xenograft tumor and skin samples of mice treated with the compound. This panel of 58 selected genes was then analyzed ...[more]

PMID: 20423997

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Project description:BACKGROUND: In addition to determining static states of gene expression (high vs. low), it is important to characterize their dynamic status. For example, genes with H3K27me3 chromatin marks are not only suppressed but also poised for activation. However, the responsiveness of genes to perturbations has never been studied systematically. To distinguish gene responses to specific factors from responsiveness in general, it is necessary to analyze gene expression profiles of cells responding to a large variety of disturbances, and such databases did not exist before. RESULTS: We estimated the responsiveness of all genes in mouse ES cells using our recently published database on expression change after controlled induction of 53 transcription factors (TFs) and other genes. Responsive genes (N = 4746), which were readily upregulated or downregulated depending on the kind of perturbation, mostly have regulatory functions and a propensity to become tissue-specific upon differentiation. Tissue-specific expression was evaluated on the basis of published (GNF) and our new data for 15 organs and tissues. Non-responsive genes (N = 9562), which did not change their expression much following any perturbation, were enriched in housekeeping functions. We found that TF-responsiveness in ES cells is the best predictor known for tissue-specificity in gene expression. Among genes with CpG islands, high responsiveness is associated with H3K27me3 chromatin marks, and low responsiveness is associated with H3K36me3 chromatin, stronger tri-methylation of H3K4, binding of E2F1, and GABP binding motifs in promoters. CONCLUSIONS: We thus propose the responsiveness of expression to perturbations as a new way to define the dynamic status of genes, which brings new insights into mechanisms of regulation of gene expression and tissue specificity. Total RNA was isolated by TRIzol (Invitrogen) after 2 days. Cy3-CTP labeled sample targets were prepared with total RNA by Low RNA Input Fluorescent Linear Amplification Kit (Agilent). Cy5-CTP labeled reference target was produced from mixture of Stratagene Universal Mouse Reference RNA and MC1 cells RNA. Most samples were collected in 2 replications taken from different animals, except bone and fat, which had only one replication.

Dataset Information

Transcriptional analysis of an E2F gene signature as a biomarker of activity of the cyclin-dependent kinase inhibitor PHA-793887 in tumor and skin biopsies from a phase I clinical study

Publications

Transcriptional analysis of an E2F gene signature as a biomarker of activity of the cyclin-dependent kinase inhibitor PHA-793887 in tumor and skin biopsies from a phase I clinical study.

Similar Datasets

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