Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray analysis of xenograft models in use at the Developmental Therapeutics Program of the National Cancer Institute (DTP-NCI)

ABSTRACT: Xenograft models remain a cornerstone technology in the development of anti-cancer agents. The ability of immunocompromised rodents to support the growth of human tumors provides an invaluable transition between in vitro testing and clinical trials. Therefore, approaches to improve model selection are required. In this study, cDNA microarray data was generated for a collection of xenograft models at in vivo passages 1, 4 and 10 (P1, P4 and P10) along with originating cell lines (P0). These data can be mined to determine transcript expression 1) relative to other models 2) with successive in vivo passage and 3) during the in vitro (P0) to in vivo (P1) transition. For originating cell lines (P0) and xenograft fragments at P1, P4 and P10, RNA was isolated, cDNA transcribed and hybridized to Affymetrix HG-U133 Plus 2.0 arrays. P0 samples have 2-3 replicates, whereas P1, P4 and P10 samples have 5 replicates. This dataset comprises a total of 823 array files.

ORGANISM(S): Homo sapiens

SUBMITTER: Luke Stockwin

PROVIDER: E-GEOD-48433 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.

Hollingshead Melinda G MG Stockwin Luke H LH Alcoser Sergio Y SY Newton Dianne L DL Orsburn Benjamin C BC Bonomi Carrie A CA Borgel Suzanne D SD Divelbiss Raymond R Dougherty Kelly M KM Hager Elizabeth J EJ Holbeck Susan L SL Kaur Gurmeet G Kimmel David J DJ Kunkel Mark W MW Millione Angelena A Mullendore Michael E ME Stotler Howard H Collins Jerry J

BMC genomics 20140522

<h4>Background</h4>Development of cancer therapeutics partially depends upon selection of appropriate animal models. Therefore, improvements to model selection are beneficial.<h4>Results</h4>Forty-nine human tumor xenografts at in vivo passages 1, 4 and 10 were subjected to cDNA microarray analysis yielding a dataset of 823 Affymetrix HG-U133 Plus 2.0 arrays. To illustrate mining strategies supporting therapeutic studies, transcript expression was determined: 1) relative to other models, 2) with ...[more]

PMID: 24885658

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Dataset Information

Microarray analysis of xenograft models in use at the Developmental Therapeutics Program of the National Cancer Institute (DTP-NCI)

Publications

Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.

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