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Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain

Abstract

Human diseases are often accompanied by histological changes that confound interpretation of molecular analyses and identification of disease-related effects. We developed population-specific expression analysis (PSEA), a computational method of analyzing gene expression in samples of varying composition that can improve analyses of quantitative molecular data in many biological contexts. PSEA of brains from individuals with Huntington's disease revealed myelin-related abnormalities that were undetected using standard differential expression analysis.

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Figure 1: PSEA of human brain samples.
Figure 2: Comparison of population-specific and total expression change in tissue samples with cell-composition changes.

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Gene Expression Omnibus

References

  1. Hodges, A. et al. Hum. Mol. Genet. 15, 965–977 (2006).

    Article  CAS  Google Scholar 

  2. Reiner, A. et al. Proc. Natl. Acad. Sci. USA 85, 5733–5737 (1988).

    Article  CAS  Google Scholar 

  3. Vonsattel, J.P. et al. J. Neuropathol. Exp. Neurol. 44, 559–577 (1985).

    Article  CAS  Google Scholar 

  4. Lu, P., Nakorchevskiy, A. & Marcotte, E.M. Proc. Natl. Acad. Sci. USA 100, 10370–10375 (2003).

    Article  CAS  Google Scholar 

  5. Shen-Orr, S.S. et al. Nat. Methods 7, 287–289 (2010).

    Article  CAS  Google Scholar 

  6. Venet, D., Pecasse, F., Maenhaut, C. & Bersini, H. Bioinformatics 17 (suppl. 1) S279–S287 (2001).

    Article  Google Scholar 

  7. Stuart, R.O. et al. Proc. Natl. Acad. Sci. USA 101, 615–620 (2004).

    Article  CAS  Google Scholar 

  8. Lähdesmäki, H., Shmulevich, L., Dunmire, V., Yli-Harja, O. & Zhang, W. BMC Bioinformatics 6, 54 (2005).

    Article  Google Scholar 

  9. Abbas, A.R., Wolslegel, K., Seshasayee, D., Modrusan, Z. & Clark, H.F. PLoS ONE 4, e6098 (2009).

    Article  Google Scholar 

  10. Ghosh, D. Bioinformatics 20, 1663–1669 (2004).

    Article  CAS  Google Scholar 

  11. Wang, M., Master, S.R. & Chodosh, L.A. BMC Bioinformatics 7, 328 (2006).

    Article  Google Scholar 

  12. Ciarmiello, A. et al. J. Nucl. Med. 47, 215–222 (2006).

    CAS  PubMed  Google Scholar 

  13. Rosas, H.D. et al. Neuroimage 49, 2995–3004 (2010).

    Article  Google Scholar 

  14. Fox, J. Applied Regression Analysis, Linear Models, and Related Methods (Sage Publications, Inc., 1997).

  15. Irizarry, R.A. et al. Biostatistics 4, 249–264 (2003).

    Article  Google Scholar 

  16. Leong, H.S., Yates, T., Wilson, C. & Miller, C.J. Bioinformatics 21, 2552–2553 (2005).

    Article  CAS  Google Scholar 

  17. Akaike, H. IEEE Trans. Automat. Contr. 19, 716–723 (1974).

    Article  Google Scholar 

  18. Burnham, K.P. & Anderson, D.R. Model selection and multi-model inference (Springer, 2002).

  19. Cook, R.D. J. Am. Stat. Assoc. 74, 169–174 (1979).

    Article  Google Scholar 

  20. Benjamini, Y. & Hochberg, Y. J. R. Stat. Soc. B 57, 289–300 (1995).

    Google Scholar 

  21. Gautier, L., Cope, L., Bolstad, B.M. & Irizarry, R.A. Bioinformatics 20, 307–315 (2004).

    Article  CAS  Google Scholar 

  22. Steiner, P. et al. Neuroscience 113, 893–905 (2002).

    Article  CAS  Google Scholar 

  23. Levison, S. & McCarthy, K. in Culturing Nerve Cells (eds. Banker, G. and Goslin, K.) 309–335 (The MIT Press, 1991).

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Acknowledgements

This work was funded by the Huntington's Disease Society of America, the Novartis Foundation and the Swiss National Science; Foundation. We thank L. Glauser for technical assistance; F. Brunet, S. Lengacher, I. Allamand, M. Marti, L. Claivaz, M. Delorenzi, T. Sengstag, D. Goldstein and S. Brahmachari for helpful discussions; B. Deplancke, J. Rougemont, I. Krier and M. Nalls for critically reading the manuscript; members of Vital-IT and the Swiss Institute of Bioinformatics for providing computing infrastructure, and members of the Lausanne DNA Array facility for assistance in processing microarray samples from primary cell cultures.

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A.K. developed and applied PSEA, performed experiments with cultured cells, and wrote the manuscript, with input from R.L.-C; D.T., H.J.W. and R.L.M.F. performed immunohistochemical experiments with brain sections; and R.L.-C. conceptualized the project and directed the study.

Corresponding author

Correspondence to Alexandre Kuhn.

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The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–21, Supplementary Tables 1–15,17–18, Supplementary Data 1–7, Supplementary Discussion (PDF 7675 kb)

Supplementary Table 16

Standard differential expression analysis showing differential total expression (HD grade 1 versus control samples). (XLSX 3345 kb)

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Kuhn, A., Thu, D., Waldvogel, H. et al. Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain. Nat Methods 8, 945–947 (2011). https://doi.org/10.1038/nmeth.1710

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