Open Access Highly Accessed Research article

Gene expression in the prefrontal cortex during adolescence: implications for the onset of schizophrenia

Laura W Harris1, Helen E Lockstone1, Phillipp Khaitovich2, Cynthia Shannon Weickert3, Maree J Webster4 and Sabine Bahn1*

  • * Corresponding author: Sabine Bahn sb209@cam.ac.uk

  • † Equal contributors

Author Affiliations

1 Institute of Biotechnology, University of Cambridge, Cambridge, UK

2 Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

3 Schizophrenia Research Institute, Prince of Wales Medical Institute, University of New South Wales, Sydney, Australia

4 Stanley Laboratory of Brain Research, Bethesda, USA

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BMC Medical Genomics 2009, 2:28  doi:10.1186/1755-8794-2-28

Published: 20 May 2009

Additional files

Additional file 1:

Full demographic variables and RNA quality rating. Full demographic details (age, PMI, gender, race, tissue pH) plus RNA integrity number (RIN) are provided for all samples included in the final analysis (i.e. after outlier removal).

Format: XLS Size: 33KB Download file

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Additional file 2:

Full list of significant probesets. Correlation coefficients, significance levels and gene information are provided for all probesets significantly correlated with a template showing a peak of expression between ages 15 and 25 (see text for details).

Format: XLS Size: 1.1MB Download file

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Additional file 3:

Functional profiling results. The data provided represent the full results of the GSEA functional profiling analysis. The data presented in Tables 1 and 2 of the main manuscript summarise these findings. As GSEA examines each gene set independently, multiple significant categories containing the same or similar genes can arise due to the nature of the GO hierarchy. Main headings indicate groups of functionally related categories. Categories listed under a lower case heading form a cluster as defined by Leading Edge analysis (ie containing overlapping gene lists). Clusters marked with * or # within a main heading show weak similarity to each other.

Format: XLS Size: 55KB Download file

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