Literature DB >> 19379085

Blood-based transcriptomics: leukemias and beyond.

Andrea Staratschek-Jox1, Sabine Classen, Andrea Gaarz, Svenja Debey-Pascher, Joachim L Schultze.   

Abstract

In 1999, Golub et al. proposed for the first time microarray-based transcriptional profiling to be used as a new technology for the differential diagnosis of acute myeloid leukemias and acute lymphocytic leukemias. This very preliminary study sparked great enthusiasm beyond the leukemias. Over the last 10 years, numerous studies addressed the use of gene expression profiling of peripheral blood from patients with malignancies, infectious diseases, autoimmunity and even cardiovascular diseases. Despite this great effort, no single test has yet been established using microarray-based transcriptional profiling of peripheral blood. Here we highlight the advances in the field of blood transcriptomics during the last 10 years and also critically discuss the issues that need to be resolved before blood transcriptomics will become part of daily diagnostics in the leukemias, as well as in other diseases showing involvement of peripheral blood.

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Year:  2009        PMID: 19379085     DOI: 10.1586/erm.09.9

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


  10 in total

Review 1.  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

2.  RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Authors:  Svenja Debey-Pascher; Andrea Hofmann; Fatima Kreusch; Gerold Schuler; Beatrice Schuler-Thurner; Joachim L Schultze; Andrea Staratschek-Jox
Journal:  J Mol Diagn       Date:  2011-07       Impact factor: 5.568

3.  Bead array-based microrna expression profiling of peripheral blood and the impact of different RNA isolation approaches.

Authors:  Andrea Gaarz; Svenja Debey-Pascher; Sabine Classen; Daniela Eggle; Birgit Gathof; Jing Chen; Jian-Bing Fan; Thorsten Voss; Joachim L Schultze; Andrea Staratschek-Jox
Journal:  J Mol Diagn       Date:  2010-03-12       Impact factor: 5.568

Review 4.  Assessing the human immune system through blood transcriptomics.

Authors:  Damien Chaussabel; Virginia Pascual; Jacques Banchereau
Journal:  BMC Biol       Date:  2010-07-01       Impact factor: 7.431

5.  cDNA targets improve whole blood gene expression profiling and enhance detection of pharmocodynamic biomarkers: a quantitative platform analysis.

Authors:  Mark L Parrish; Chris Wright; Yarek Rivers; David Argilla; Heather Collins; Brendan Leeson; Andrey Loboda; Michael Nebozhyn; Matthew J Marton; Serguei Lejnine
Journal:  J Transl Med       Date:  2010-09-25       Impact factor: 5.531

6.  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

7.  Investigation of variation in gene expression profiling of human blood by extended principle component analysis.

Authors:  Qinghua Xu; Shujuan Ni; Fei Wu; Fang Liu; Xun Ye; Bruno Mougin; Xia Meng; Xiang Du
Journal:  PLoS One       Date:  2011-10-27       Impact factor: 3.240

8.  Fluorescently activated cell sorting followed by microarray profiling of helper T cell subtypes from human peripheral blood.

Authors:  Chiaki Ono; Zhiqian Yu; Yoshiyuki Kasahara; Yoshie Kikuchi; Naoto Ishii; Hiroaki Tomita
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

9.  Analysis of gene expression to predict dynamics of future hypertension incidence in type 2 diabetic patients.

Authors:  Piotr Radkowski; Gracjan Wątor; Jan Skupien; Anna Bogdali; Paweł Wołkow
Journal:  BMC Proc       Date:  2016-10-18

10.  Transcriptome profiling of peripheral blood cells identifies potential biomarkers for doxorubicin cardiotoxicity in a rat model.

Authors:  Valentina K Todorova; Marjorie L Beggs; Robert R Delongchamp; Ishwori Dhakal; Issam Makhoul; Jeanne Y Wei; V Suzanne Klimberg
Journal:  PLoS One       Date:  2012-11-27       Impact factor: 3.240

  10 in total

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