Literature DB >> 16515398

Transcriptional profiling of peripheral blood cells in clinical pharmacogenomic studies.

Michael E Burczynski1, Andrew J Dorner.   

Abstract

Peripheral blood represents an attractive tissue source in clinical pharmacogenomic studies, given the feasibility of its collection from patients and its potential as a sentinel tissue to monitor perturbations of physiology in many disease states. The hypothesis is that the circulating blood cells monitor the physiological state of the organism and alter their transcriptome in response to this surveillance. However, the successful implementation of transcriptional profiling of peripheral blood cells in clinical trials represents a tremendous technical challenge for several reasons, including controlling the pre-analytical variables associated with sample processing and the interpretation of gene expression signatures generated from the complex mixture of cell types in blood. Multiple approaches for identifying transcriptomes in peripheral blood cells exist and each method is associated with significant advantages and disadvantages. Nonetheless, a growing number of studies are rapidly identifying transcriptional biomarkers in peripheral blood cells that may function as biomarkers of disease, evidence of pharmacodynamic effect, or even predictors of clinical outcomes and risk of toxicity. This review highlights the major approaches employed in global transcriptional profiling of peripheral blood cells and summarizes the available literature of initial studies in the growing field of hemogenomics. The overall purpose of the review is to focus on the development and application of technologies for the use of peripheral blood cells as a sentinel or surrogate tissue to measure disease state and drug response.

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Year:  2006        PMID: 16515398     DOI: 10.2217/14622416.7.2.187

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  46 in total

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Authors:  Federico M Goodsaid; Shashi Amur; Jiri Aubrecht; Michael E Burczynski; Kevin Carl; Jennifer Catalano; Rosane Charlab; Sandra Close; Catherine Cornu-Artis; Laurent Essioux; Albert J Fornace; Lois Hinman; Huixiao Hong; Ian Hunt; David Jacobson-Kram; Ansar Jawaid; David Laurie; Lawrence Lesko; Heng-Hong Li; Klaus Lindpaintner; James Mayne; Peter Morrow; Marisa Papaluca-Amati; Timothy W Robison; John Roth; Ina Schuppe-Koistinen; Leming Shi; Olivia Spleiss; Weida Tong; Sharada L Truter; Jacky Vonderscher; Agnes Westelinck; Li Zhang; Issam Zineh
Journal:  Nat Rev Drug Discov       Date:  2010-06       Impact factor: 84.694

Review 2.  The evolution of bioinformatics in toxicology: advancing toxicogenomics.

Authors:  Cynthia A Afshari; Hisham K Hamadeh; Pierre R Bushel
Journal:  Toxicol Sci       Date:  2010-12-22       Impact factor: 4.849

3.  Gene expression profiling and its practice in drug development.

Authors:  Murty V Chengalvala; Vargheese M Chennathukuzhi; Daniel S Johnston; Panayiotis E Stevis; Gregory S Kopf
Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

Review 4.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

Review 5.  Biomarkers for Alzheimer disease in cerebrospinal fluid, urine, and blood.

Authors:  Anders Lönneborg
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

6.  Genomic indicators in the blood predict drug-induced liver injury.

Authors:  J Huang; W Shi; J Zhang; J W Chou; R S Paules; K Gerrish; J Li; J Luo; R D Wolfinger; W Bao; T-M Chu; Y Nikolsky; T Nikolskaya; D Dosymbekov; M O Tsyganova; L Shi; X Fan; J C Corton; M Chen; Y Cheng; W Tong; H Fang; P R Bushel
Journal:  Pharmacogenomics J       Date:  2010-08       Impact factor: 3.550

7.  Gene expression before HAART initiation predicts HIV-infected individuals at risk of poor CD4+ T-cell recovery.

Authors:  Christopher H Woelk; Nadejda Beliakova-Bethell; Miguel Goicoechea; Yingdong Zhao; Pinyi Du; Steffney E Rought; Jean Lozach; Josué Pérez-Santiago; Douglas D Richman; Davey M Smith; Susan J Little
Journal:  AIDS       Date:  2010-01-16       Impact factor: 4.177

8.  Peripheral blood mononuclear cells: a potential source of homeostatic imbalance markers associated with obesity development.

Authors:  Paula Oliver; Bàrbara Reynés; Antoni Caimari; Andreu Palou
Journal:  Pflugers Arch       Date:  2013-02-20       Impact factor: 3.657

Review 9.  Chipping away at diagnostics for neurodegenerative diseases.

Authors:  Clemens R Scherzer
Journal:  Neurobiol Dis       Date:  2009-03-10       Impact factor: 5.996

10.  A longitudinal study of gene expression in healthy individuals.

Authors:  Chris Karlovich; Guillemette Duchateau-Nguyen; Andrea Johnson; Patricia McLoughlin; Mercidita Navarro; Carole Fleurbaey; Lori Steiner; Michel Tessier; Tracy Nguyen; Monika Wilhelm-Seiler; John P Caulfield
Journal:  BMC Med Genomics       Date:  2009-06-07       Impact factor: 3.063

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