BMC Genomics

official impact factor 4.21

Open Access Methodology article

Exploiting orthologue diversity for systematic detection of gain-of-function phenotypes

Maria L Martelli, Claudio Isella, Alessia Mira, Limin Fu, Daniela Cantarella and Enzo Medico*

Author Affiliations

Laboratory of Functional Genomics, The Oncogenomics Center, Institute for Cancer Research and Treatment (IRCC), University of Turin Medical School, Str. Prov. 142, 10060 Candiolo, Italy

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BMC Genomics 2008, 9:254 doi:10.1186/1471-2164-9-254

Published: 29 May 2008

Additional files

Additional file 1:

representation of mouse testis transcripts according to SAGE analysis. Transcripts are ordered by decreasing representation, measured as PPM (Parts per Million).

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Additional file 2:

xenoarray analysis on library-transduced MDCK cells before and after a replicate selection performed on the first infection.

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Additional file 3:

dot plots of xenoarray analysis on the 34 probes reported in Table 1. The plots compare the enrichment driven by polyhema selection (x-axis) with the enrichment driven by serum withdrawal (A) or transwell "diving" (B).

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