Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
Open AccessResearch

Candidate metastasis suppressor genes uncovered by array comparative genomic hybridization in a mouse allograft model of prostate cancer

Yajun Yi1 email, Srinivas Nandana2 email, Thomas Case2 email, Colleen Nelson3 email, Tatjana Radmilovic1 email, Robert J Matusik2 email and Karen D Tsuchiya4,5 email

Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA

Department of Urologic Surgery and Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA

Department of Urologic Sciences, University of British Columbia, The Prostate Centre at Vancouver General Hospital, Vancouver, British Columbia, Canada

Clinical Research Division, Fred Hutchinson Cancer Research Center and Department of Laboratories, Seattle Children's Hospital, WA, USA

Department of Laboratory Medicine, University of Washington School of Medicine, Seattle, WA, USA

author email corresponding author email

Molecular Cytogenetics 2009, 2:18doi:10.1186/1755-8166-2-18

Published: 26 September 2009

Additional files

Additional file 1:

Weighted scoring for the selection of candidate genes in 2E5-2F3. Detailed description of the weighted scoring method that was used to select candidate suppressor genes in the differentially deleted region of chromosome 2 between metastasizing and non-metastasizing allografts.

Format: DOC Size: 24KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 2:

T-test sliding window whole genome and chromosome 2 analysis. Comparison of expression array results between metastatic and non-metastatic allografts using a T-test sliding window analysis.

Format: PPT Size: 333KB Download file

This file can be viewed with: Microsoft PowerPoint Viewer

Additional file 3:

Complete candidate gene list. Complete list of candidate genes from the 2E5-2F3 identified from the function-based bioinformatics filter and the cancer expression signature filter.

Format: DOC Size: 52KB Download file

This file can be viewed with: Microsoft Word Viewer


© 1999-2010 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.