Biology – Quantitative Biology – Genomics
Scientific paper
2009-11-01
Biology
Quantitative Biology
Genomics
27 pages, 3 figures
Scientific paper
Individual expression profiles from EBV transformed cell lines are an emerging resource for genomic investigation. In this study we characterize the effects of age, sex, and genetic variation on gene expression by surveying public datasets of such profiles. We establish that the expression space of cell lines maintains genetic as well as non-germline information, in an individual-specific and cross-tissue manner. Age of donor is associated with the expression of 949 genes in the derived cell line. Age-associated genes include over-representation of immune-related genes, specifically MHC Class I genes, a phenomenon that replicates across tissues and organisms. Sex associated genes in these cell lines include likely candidates, such as genes that escape X-inactivation,testis specific expressed genes, androgen and estrogen specific genes, but also gene families previously unknown to be sex associated such as common microRNA targets (MIR-490, V_ARP1_01, MIR-489). Finally, we report 494 transcripts whose expression levels are associated with a genetic variant in cis, overlapping and validating previous reports. Incorporating age in analysis of association facilitates additional discovery of trans-acting regulatory genetic variants. Our findings promote expression profiling of transformed cell lines as a vehicle for understanding cellular systems beyond the specific lines.
Daly Mark J.
Pe'er Itsik
Rivas Manuel A.
No associations
LandOfFree
Age, Sex, and Genetic Architecture of Human Gene Expression in EBV Transformed Cell Lines does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Age, Sex, and Genetic Architecture of Human Gene Expression in EBV Transformed Cell Lines, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Age, Sex, and Genetic Architecture of Human Gene Expression in EBV Transformed Cell Lines will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-28989