Journal article
Next-Generation Sequence Analysis of Cancer Xenograft Models
FJ Rossello, RW Tothill, K Britt, KD Marini, J Falzon, DM Thomas, CD Peacock, L Marchionni, J Li, S Bennett, E Tantoso, T Brown, P Chan, LG Martelotto, DN Watkins
Plos One | PUBLIC LIBRARY SCIENCE | Published : 2013
Abstract
Next-generation sequencing (NGS) studies in cancer are limited by the amount, quality and purity of tissue samples. In this situation, primary xenografts have proven useful preclinical models. However, the presence of mouse-derived stromal cells represents a technical challenge to their use in NGS studies. We examined this problem in an established primary xenograft model of small cell lung cancer (SCLC), a malignancy often diagnosed from small biopsy or needle aspirate samples. Using an in silico strategy that assign reads according to species-of-origin, we prospectively compared NGS data from primary xenograft models with matched cell lines and with published datasets. We show here that lo..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
Funding for this work was provided by the National Health and Medical Research Council of Australia (Project Grant 546204), the Victorian Government Operational Infrastructure Support Program, and the Victorian Cancer Agency. Funding for open access charge: Victorian Cancer Agency. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.