Open Access Research article

A novel approach to investigate tissue-specific trinucleotide repeat instability

Jong-Min Lee1*, Jie Zhang2, Andrew I Su2, John R Walker2, Tim Wiltshire2, Kihwa Kang36, Ella Dragileva1, Tammy Gillis1, Edith T Lopez1, Marie-Josee Boily4, Michel Cyr4, Isaac Kohane5, James F Gusella1, Marcy E MacDonald1 and Vanessa C Wheeler1*

Author Affiliations

1 Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA

2 The Genomics Institute of the Novartis Research Foundation, San Diego, CA, USA

3 Department of Genetics and Complex Diseases, Harvard School of Public Health, Boston, MA, USA

4 Neuroscience Research Group, University of Quebec at Trois-Rivieres, Trois-Rivieres, Quebec, Canada

5 Children's Hospital Informatics program, Children's Hospital, Boston, MA, USA

6 Current address: Obesity and Metabolic Diseases, Regeneron Pharmaceutical, Inc., Tarrytown, NY, USA

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BMC Systems Biology 2010, 4:29  doi:10.1186/1752-0509-4-29

Published: 19 March 2010

Additional files

Additional file 1:

An instability-correlated gene expression signature. List of 150 probes comprising instability-correlated gene expression signature.

Format: XLS Size: 36KB Download file

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Additional file 2:

Correlations of DNA metabolism genes with instability index. Genes potentially involved in DNA metabolism such as DNA synthesis and DNA repair were identified by the Gene Ontology biological process.

Format: XLS Size: 104KB Download file

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Additional file 3:

Gene set enrichment analysis results of DNA metabolism pathways. Gene set analysis of DNA metabolism pathways indicated that DNA metabolism gene sets were not significantly (p < 0.01) correlated with the instability index.

Format: DOC Size: 49KB Download file

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