scholarly journals A Global Gene Expression Analysis of the Peripheral Blood Mononuclear Cells Reveals the Gene Expression Signature in Psoriasis

2009 ◽  
Vol 21 (3) ◽  
pp. 237 ◽  
Author(s):  
Sang-Keun Lee ◽  
Eun-Kyoung Jeon ◽  
Yu-Jin Kim ◽  
Sam-Hwa Seo ◽  
Chang-Deok Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Gene Expression Analysis ◽  
Mononuclear Cells ◽  
Gene Expression Signature ◽  
Global Gene Expression ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells ◽  
Global Gene Expression Analysis

scholarly journals Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham Heart Study

2012 ◽  
Vol 44 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Roby Joehanes ◽  
Andrew D. Johnson ◽  
Jennifer J. Barb ◽  
Nalini Raghavachari ◽  
Poching Liu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Peripheral Blood Mononuclear Cells ◽  
Whole Blood ◽  
Peripheral Blood ◽  
Gene Expression Analysis ◽  
Mononuclear Cells ◽  
Smoking Status ◽  
Lymphoblastoid Cell Lines ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells

Despite a growing number of reports of gene expression analysis from blood-derived RNA sources, there have been few systematic comparisons of various RNA sources in transcriptomic analysis or for biomarker discovery in the context of cardiovascular disease (CVD). As a pilot study of the Systems Approach to Biomarker Research (SABRe) in CVD Initiative, this investigation used Affymetrix Exon arrays to characterize gene expression of three blood-derived RNA sources: lymphoblastoid cell lines (LCL), whole blood using PAXgene tubes (PAX), and peripheral blood mononuclear cells (PBMC). Their performance was compared in relation to identifying transcript associations with sex and CVD risk factors, such as age, high-density lipoprotein, and smoking status, and the differential blood cell count. We also identified a set of exons that vary substantially between participants, but consistently in each RNA source. Such exons are thus stable phenotypes of the participant and may potentially become useful fingerprinting biomarkers. In agreement with previous studies, we found that each of the RNA sources is distinct. Unlike PAX and PBMC, LCL gene expression showed little association with the differential blood count. LCL, however, was able to detect two genes related to smoking status. PAX and PBMC identified Y-chromosome probe sets similarly and slightly better than LCL.

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