Literature DB >> 15642185

Integrated transcriptome and proteome data: the challenges ahead.

Catherine Jane Hack1.   

Abstract

The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.

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Year:  2004        PMID: 15642185     DOI: 10.1093/bfgp/3.3.212

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  47 in total

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2.  Comparison of mRNA and protein measures of cytokines following vaccination with human papillomavirus-16 L1 virus-like particles.

Authors:  Fatma M Shebl; Ligia A Pinto; Alfonso García-Piñeres; Richard Lempicki; Marcus Williams; Clayton Harro; Allan Hildesheim
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

Review 3.  Platelet genomics and proteomics in human health and disease.

Authors:  Iain C Macaulay; Philippa Carr; Arief Gusnanto; Willem H Ouwehand; Des Fitzgerald; Nicholas A Watkins
Journal:  J Clin Invest       Date:  2005-12       Impact factor: 14.808

Review 4.  Proteomic approaches to dissect platelet function: Half the story.

Authors:  Dmitri V Gnatenko; Peter L Perrotta; Wadie F Bahou
Journal:  Blood       Date:  2006-08-22       Impact factor: 22.113

5.  Characterization of the laser-based release of micropallets from arrays.

Authors:  Georgina To'a Salazar; Yuli Wang; Christopher E Sims; Mark Bachman; G P Li; Nancy L Allbritton
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

6.  Early differences in islets from prediabetic NOD mice: combined microarray and proteomic analysis.

Authors:  Inne Crèvecoeur; Valborg Gudmundsdottir; Saurabh Vig; Fernanda Marques Câmara Sodré; Wannes D'Hertog; Ana Carolina Fierro; Leentje Van Lommel; Conny Gysemans; Kathleen Marchal; Etienne Waelkens; Frans Schuit; Søren Brunak; Lut Overbergh; Chantal Mathieu
Journal:  Diabetologia       Date:  2017-01-12       Impact factor: 10.122

7.  Laser-based directed release of array elements for efficient collection into targeted microwells.

Authors:  Nicholas C Dobes; Rahul Dhopeshwarkar; W Hampton Henley; J Michael Ramsey; Christopher E Sims; Nancy L Allbritton
Journal:  Analyst       Date:  2012-12-05       Impact factor: 4.616

8.  Integrated network analysis of transcriptomic and proteomic data in psoriasis.

Authors:  Eleonora Piruzian; Sergey Bruskin; Alex Ishkin; Rustam Abdeev; Sergey Moshkovskii; Stanislav Melnik; Yuri Nikolsky; Tatiana Nikolskaya
Journal:  BMC Syst Biol       Date:  2010-04-08

9.  Rapid dopaminergic modulation of the fish hypothalamic transcriptome and proteome.

Authors:  Jason T Popesku; Christopher J Martyniuk; Nancy D Denslow; Vance L Trudeau
Journal:  PLoS One       Date:  2010-08-20       Impact factor: 3.240

10.  Zebrafish fin immune responses during high mortality infections with viral haemorrhagic septicemia rhabdovirus. A proteomic and transcriptomic approach.

Authors:  Paloma Encinas; Miguel A Rodriguez-Milla; Beatriz Novoa; Amparo Estepa; Antonio Figueras; Julio Coll
Journal:  BMC Genomics       Date:  2010-09-27       Impact factor: 3.969

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