Literature DB >> 15723591

Gene expression profiling using RNA extracted from whole blood: technologies and clinical applications.

Andreas Pahl1.   

Abstract

Gene expression profiling promises to provide an insight into normal biologic and pathologic processes with the hope of predicting disease outcome or indicating individualized courses of therapy. The entire process for gene expression profiling from clinical samples consists of sample collection, transport and storage of clinical sample, isolation of nucleic acids, enzymatic modification of nucleic acids, detection and data analysis. All steps exert an influence on the quality, accuracy and reliability of the final result. A standardization of the entire process from sample collection to nucleic acid analysis is therefore required in order to achieve reliable gene expression results. After providing a general overview of technologies for gene expression profiling and respective caveats, this review will focus on clinical applications of blood sample profiling.

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Year:  2005        PMID: 15723591     DOI: 10.1586/14737159.5.1.43

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  8 in total

1.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

2.  Quality control methods for optimal BCR-ABL1 clinical testing in human whole blood samples.

Authors:  Lauren M Stanoszek; Erin L Crawford; Thomas M Blomquist; Jessica A Warns; Paige F S Willey; James C Willey
Journal:  J Mol Diagn       Date:  2013-03-27       Impact factor: 5.568

3.  Increased sensitivity of next generation sequencing-based expression profiling after globin reduction in human blood RNA.

Authors:  Anastasios Mastrokolias; Johan T den Dunnen; Gertjan B van Ommen; Peter A C 't Hoen; Willeke M C van Roon-Mom
Journal:  BMC Genomics       Date:  2012-01-18       Impact factor: 3.969

Review 4.  Microarrays.

Authors:  Robert Plomin; Leonard C Schalkwyk
Journal:  Dev Sci       Date:  2007-01

5.  Assessing individual differences in genome-wide gene expression in human whole blood: reliability over four hours and stability over 10 months.

Authors:  Emma L Meaburn; Cathy Fernandes; Ian W Craig; Robert Plomin; Leonard C Schalkwyk
Journal:  Twin Res Hum Genet       Date:  2009-08       Impact factor: 1.587

Review 6.  Cellular defense system gene expression profiling of human whole blood: opportunities to predict health benefits in response to diet.

Authors:  Janice E Drew
Journal:  Adv Nutr       Date:  2012-07-01       Impact factor: 8.701

7.  Global transcriptomic profiling using small volumes of whole blood: a cost-effective method for translational genomic biomarker identification in small animals.

Authors:  Meagan M Fricano; Amy C Ditewig; Paul M Jung; Michael J Liguori; Eric A G Blomme; Yi Yang
Journal:  Int J Mol Sci       Date:  2011-04-13       Impact factor: 5.923

8.  Differential gene expression profiles are dependent upon method of peripheral blood collection and RNA isolation.

Authors:  Adam L Asare; Svetlana A Kolchinsky; Zhong Gao; Richard Wang; Khadir Raddassi; Katarzyna Bourcier; Vicki Seyfert-Margolis
Journal:  BMC Genomics       Date:  2008-10-10       Impact factor: 3.969

  8 in total

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