Cell type specific analysis of human transcriptome data

Xiaoxiao Xu, Arye Nehorai, Joseph Dougherty

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

Abstract

The central nervous system (CNS) is composed of hundreds of distinct cell types, each expressing different subsets of genes from the genome. High throughput gene expression analysis of complex tissues like the CNS from patients and controls is a common method to screen for potentially pathological molecular mechanisms of psychiatric disease. One mechanism by which gene expression might be seen to vary across samples would be alterations in the cellular composition of the tissue. While there are a few gene 'markers' from literature for each cell type, their expression patterns vary significantly resulting in poor sensitivity and specificity. Here, we propose a method utilizing prior information from cell specific transcriptome profiling experiments in mice and co-expression network analysis to select cell type specific gene markers, and further to analytically detect changing cellular composition in human tissues. Our method successfully detects changes in cellularity over time that roughly correspond to known epochs of human brain development.

Original languageEnglish
Title of host publicationProceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
Pages99-100
Number of pages2
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 - Washington, DC, United States
Duration: Dec 2 2012Dec 4 2012

Publication series

NameProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)2150-3001
ISSN (Electronic)2150-301X

Conference

Conference2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
CountryUnited States
CityWashington, DC
Period12/2/1212/4/12

Fingerprint Dive into the research topics of 'Cell type specific analysis of human transcriptome data'. Together they form a unique fingerprint.

  • Cite this

    Xu, X., Nehorai, A., & Dougherty, J. (2012). Cell type specific analysis of human transcriptome data. In Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 (pp. 99-100). [6507737] (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). https://doi.org/10.1109/GENSIPS.2012.6507737