Literature DB >> 17393305

The use of transcriptomic biomarkers for personalized medicine.

Bettina Heidecker1, Joshua M Hare.   

Abstract

Microarrays are a high throughput technology that allows the quantification of tens of thousands of RNA transcripts in a single reaction. This new technology offers the promise of comprehensive study of disease at a genomic level, potentially identifying novel molecular abnormalities, developing novel clinical biomarkers, and investigating drug efficacy. The ability to develop a molecular profile corresponding to a therapeutic effect is the basis for the concept of drug repositioning. With regard to prediction of clinical events, microarray technology has the potential to contribute to the development of sophisticated new biomarkers useful as predictors of disease etiology, outcome, and responsiveness to therapy-so-called personalized medicine. Currently progress in the field is hampered by a degree of skepticism about the reliability of microarray data and its relevance for clinical applications. Here we discuss possible pitfalls of transcriptomic analysis, review current developments in the cardiovascular area and address the use of transcriptomics for clinical applications.

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Year:  2007        PMID: 17393305     DOI: 10.1007/s10741-007-9004-7

Source DB:  PubMed          Journal:  Heart Fail Rev        ISSN: 1382-4147            Impact factor:   4.654


  58 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Evaluation of gene expression measurements from commercial microarray platforms.

Authors:  Paul K Tan; Thomas J Downey; Edward L Spitznagel; Pin Xu; Dadin Fu; Dimiter S Dimitrov; Richard A Lempicki; Bruce M Raaka; Margaret C Cam
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

3.  The peripheral blood transcriptome dynamically reflects system wide biology: a potential diagnostic tool.

Authors:  Choong-Chin Liew; Jun Ma; Hong-Chang Tang; Run Zheng; Adam A Dempsey
Journal:  J Lab Clin Med       Date:  2006-03

4.  Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) project.

Authors:  Tucker A Patterson; Edward K Lobenhofer; Stephanie B Fulmer-Smentek; Patrick J Collins; Tzu-Ming Chu; Wenjun Bao; Hong Fang; Ernest S Kawasaki; Janet Hager; Irina R Tikhonova; Stephen J Walker; Liang Zhang; Patrick Hurban; Francoise de Longueville; James C Fuscoe; Weida Tong; Leming Shi; Russell D Wolfinger
Journal:  Nat Biotechnol       Date:  2006-09       Impact factor: 54.908

Review 5.  Molecular interactions on microarrays.

Authors:  E Southern; K Mir; M Shchepinov
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

6.  A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia.

Authors:  George Adrian Calin; Manuela Ferracin; Amelia Cimmino; Gianpiero Di Leva; Masayoshi Shimizu; Sylwia E Wojcik; Marilena V Iorio; Rosa Visone; Nurettin Ilfer Sever; Muller Fabbri; Rodolfo Iuliano; Tiziana Palumbo; Flavia Pichiorri; Claudia Roldo; Ramiro Garzon; Cinzia Sevignani; Laura Rassenti; Hansjuerg Alder; Stefano Volinia; Chang-gong Liu; Thomas J Kipps; Massimo Negrini; Carlo M Croce
Journal:  N Engl J Med       Date:  2005-10-27       Impact factor: 91.245

7.  The economic implications of noninvasive molecular testing for cardiac allograft rejection.

Authors:  Roger W Evans; Gavin E Williams; Helen M Baron; Mario C Deng; Howard J Eisen; Sharon A Hunt; Mahmud M Khan; Jon A Kobashigawa; Eric N Marton; Mandeep R Mehra; Seema R Mital
Journal:  Am J Transplant       Date:  2005-06       Impact factor: 8.086

8.  Electric field directed nucleic acid hybridization on microchips.

Authors:  C F Edman; D E Raymond; D J Wu; E Tu; R G Sosnowski; W F Butler; M Nerenberg; M J Heller
Journal:  Nucleic Acids Res       Date:  1997-12-15       Impact factor: 16.971

9.  Molecular signature analysis: the potential of gene-expression analysis in cardiomyopathy.

Authors:  Michelle M Kittleson; Joshua M Hare
Journal:  Future Cardiol       Date:  2005-11

10.  A DNA microarray survey of gene expression in normal human tissues.

Authors:  Radha Shyamsundar; Young H Kim; John P Higgins; Kelli Montgomery; Michelle Jorden; Anand Sethuraman; Matt van de Rijn; David Botstein; Patrick O Brown; Jonathan R Pollack
Journal:  Genome Biol       Date:  2005-02-14       Impact factor: 13.583

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  28 in total

1.  Optimizing high dimensional gene expression studies for immune response following smallpox vaccination using Taqman® low density immune arrays.

Authors:  Ann L Oberg; Neelam Dhiman; Diane E Grill; Jenna E Ryan; Richard B Kennedy; Gregory A Poland
Journal:  J Immunol Methods       Date:  2011-01-28       Impact factor: 2.303

2.  Systems biology in heart diseases.

Authors:  G E Louridas; I E Kanonidis; K G Lourida
Journal:  Hippokratia       Date:  2010-01       Impact factor: 0.471

3.  Introduction: biomarkers in heart failure.

Authors:  Kirkwood F Adams
Journal:  Heart Fail Rev       Date:  2010-07       Impact factor: 4.214

Review 4.  Systems biology and heart failure: concepts, methods, and potential research applications.

Authors:  Kirkwood F Adams
Journal:  Heart Fail Rev       Date:  2010-07       Impact factor: 4.214

5.  The new biology: a bridge to clinical cardiology.

Authors:  Ge Louridas; Kg Lourida
Journal:  Hippokratia       Date:  2012-04       Impact factor: 0.471

6.  Estimation of treatment policies based on functional predictors.

Authors:  Ian W McKeague; Min Qian
Journal:  Stat Sin       Date:  2014-07       Impact factor: 1.261

7.  Transcriptomic biomarkers for the accurate diagnosis of myocarditis.

Authors:  Bettina Heidecker; Michelle M Kittleson; Edward K Kasper; Ilan S Wittstein; Hunter C Champion; Stuart D Russell; Ralph H Hruban; E Rene Rodriguez; Kenneth L Baughman; Joshua M Hare
Journal:  Circulation       Date:  2011-03-07       Impact factor: 29.690

Review 8.  Cardiovascular genetic medicine: genomic assessment of prognosis and diagnosis in patients with cardiomyopathy and heart failure.

Authors:  Bettina Heidecker; Joshua M Hare
Journal:  J Cardiovasc Transl Res       Date:  2008-08-02       Impact factor: 4.132

Review 9.  Application of pharmacogenomics to vaccines.

Authors:  Gregory A Poland; Inna G Ovsyannikova; Robert M Jacobson
Journal:  Pharmacogenomics       Date:  2009-05       Impact factor: 2.533

10.  Transcriptomic biomarkers for individual risk assessment in new-onset heart failure.

Authors:  Bettina Heidecker; Edward K Kasper; Ilan S Wittstein; Hunter C Champion; Elayne Breton; Stuart D Russell; Michelle M Kittleson; Kenneth L Baughman; Joshua M Hare
Journal:  Circulation       Date:  2008-06-30       Impact factor: 29.690

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