Combining gene expression and function in a spatially localized approach

Evangelia I. Zacharaki, Angeliki Skoura, Desmond J. Smith, Scott H. Faro, Li An, Vasileios Megalooikonomou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The integration of gene expression datasets with gene function information provides valuable insights in unraveling the molecular mechanisms of the brain. In this paper, gene expression maps, acquired by the technique of voxelation, are analyzed using an atlas-based framework and the extracted spatial information is employed to organize genes in significant clusters. Gene function enrichment analysis of clusters enabled exploration of the relationships among brain regions, gene expression and gene function. In addition, the analysis revealed new function categories, for example biological process for the gene Pbx3, cellular component and biological process for the gene Ppplrlb. Our work confirms the hypothesis that genes of similar spatial expression patterns display similar functions indicating that our methodology could assist in the function identification of unannotated genes.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
Pages229-236
Number of pages8
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012 - Philadelphia, PA, United States
Duration: Oct 4 2012Oct 7 2012

Publication series

NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

Other

Other2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012
CountryUnited States
CityPhiladelphia, PA
Period10/4/1210/7/12

Keywords

  • brain mapping
  • gene expression maps
  • gene function
  • gene ontology
  • voxelation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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