Gene Set Enrichment Analyses Revealed Differences in Gene Expression Patterns between Males and Females

Men and women differ not only in their physical attributes and reproductive functions but also in many other characteristics, including the risks for some diseases as well as response to certain therapeutic treatments. Though genetically-identical for autosomal chromosomes, males and females could have gender-specific transcriptional or translational regulation, leading to differential mRNAs or protein products for some genes. To illustrate the gender-specific differences in mRNA-level expression, we compared gene expression patterns between males and females using a whole-genome microarray dataset on the unrelated HapMap lymphoblastoid cell lines derived from individuals of European (58 individuals) and African (59 individuals) ancestry. We applied the Gene Set Enrichment Analysis to identify any overrepresented predefined gene sets in either men or women. Distinct patterns of upregulation and downregulation of certain chromoSomal regions and other gene sets such as targets for certain microRNAs and transcription factors were identified in males or females, suggesting their potential roles in defining the gender-specific phenotypes. Gender-specific patterns of gene expression also appeared to be different between these two populations.

[1]  K. Lindblad-Toh,et al.  Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals , 2005, Nature.

[2]  Sunita J Shukla,et al.  Effect of population and gender on chemotherapeutic agent–induced cytotoxicity , 2006, Molecular Cancer Therapeutics.

[3]  H. Willard,et al.  X-inactivation profile reveals extensive variability in X-linked gene expression in females , 2005, Nature.

[4]  Monika Heiner,et al.  Intronic CA‐repeat and CA‐rich elements: a new class of regulators of mammalian alternative splicing , 2005, The EMBO journal.

[5]  P. Brown,et al.  Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[6]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Tyson A. Clark,et al.  Evaluation of genetic variation contributing to differences in gene expression between populations. , 2008, American journal of human genetics.

[8]  Shiew-Mei Huang,et al.  DO MEN AND WOMEN DIFFER IN PROXIMAL SMALL INTESTINAL CYP3A OR P-GLYCOPROTEIN EXPRESSION? , 2005, Drug Metabolism and Disposition.

[9]  Wei Zhang,et al.  Ancestry-related differences in gene expression: findings may enhance understanding of health disparities between populations. , 2008, Pharmacogenomics.

[10]  Qi Liu,et al.  Improving gene set analysis of microarray data by SAM-GS , 2007, BMC Bioinformatics.

[11]  S. Sikka,et al.  In vivo gene expression profile analysis of metallothionein in renal cell carcinoma. , 2000, Cancer letters.

[12]  Seon-Young Kim,et al.  Gene-set approach for expression pattern analysis , 2008, Briefings Bioinform..

[13]  D. Federman,et al.  The biology of human sex differences. , 2006, The New England journal of medicine.

[14]  G. Calaf,et al.  Human drug metabolism genes in parathion-and estrogen-treated breast cells. , 2007, International journal of molecular medicine.

[15]  John D. Storey,et al.  A Genome-Wide Gene Expression Signature of Environmental Geography in Leukocytes of Moroccan Amazighs , 2008, PLoS genetics.

[16]  C. Molony,et al.  Genetic analysis of genome-wide variation in human gene expression , 2004, Nature.

[17]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Tyson A. Clark,et al.  Genetic architecture of transcript-level variation in humans. , 2008, American journal of human genetics.

[19]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[20]  Arturas Petronis,et al.  Complex disease, gender and epigenetics , 2006, Annals of medicine.

[21]  Federico Innocenti,et al.  Searching for Tissue-Specific Expression Pattern-Linked Nucleotides of UGT1A Isoforms , 2007, PloS one.

[22]  Paula Hensler Viewpoint: Gender differences in heart disease. , 2006, Circulation.

[23]  Wei Zhang,et al.  Gender-specific differences in expression in human lymphoblastoid cell lines , 2007, Pharmacogenetics and genomics.

[24]  D. Stover,et al.  Gender and lung cancer. , 2004, Clinics in chest medicine.

[25]  M. Dolan,et al.  The HapMap Resource is Providing New Insights into Ourselves and its Application to Pharmacogenomics , 2008, Bioinformatics and biology insights.

[26]  M. Daly,et al.  PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.

[27]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .