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Open Access Research article

Evaluation of the NOD/SCID xenograft model for glucocorticoid-regulated gene expression in childhood B-cell precursor acute lymphoblastic leukemia

Vivek A Bhadri13, Mark J Cowley2, Warren Kaplan2, Toby N Trahair13 and Richard B Lock1*

Author Affiliations

1 Children's Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, University of New South Wales, Randwick, NSW 2031, Australia

2 Peter Wills Bioinformatics Centre, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia

3 Centre for Children's Cancer and Blood Disorders, Sydney Children's Hospital, Randwick, NSW 2031, Australia

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BMC Genomics 2011, 12:565  doi:10.1186/1471-2164-12-565

Published: 17 November 2011

Additional files

Additional file 1:

metaGSEA of genesets 8 hours after treatment with dexamethasone. metaGSEA of top 100 up- and down-regulated genesets identified by Gene Set Enrichment Analysis (GSEA) 8 hours after treatment with dexamethasone.

Format: PDF Size: 38KB Download file

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Open Data

Additional file 2:

metaGSEA of genesets 24 hours after treatment with dexamethasone. metaGSEA of top 100 up- and down-regulated genesets identified by Gene Set Enrichment Analysis (GSEA) 24 hours after treatment with dexamethasone.

Format: PDF Size: 39KB Download file

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Open Data

Additional file 3:

Annotated pGSEA comparing glucocorticoid-induced genesets in xenograft, cell line and patient datasets. Hierarchical cluster by parametric Gene Set Enrichment Analysis (PGSEA) of the top 100 genesets with the greatest variance across three models (xenograft in vivo, cell line in vitro, patient in vivo) of glucocorticoid-induced gene expression in ALL, with annotation of the gene sets.

Format: PDF Size: 72KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data