Integrated transcriptome and proteome data: the challenges ahead. Export

@article{citeulike:5013213, 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.}, author = {Hack, C. J.}, citeulike-article-id = {5013213}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/15642185}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=15642185}, comment = {Review of early integration studies}, issn = {1473-9550}, journal = {Briefings in functional genomics \& proteomics}, keywords = {gene\_expression, meta-analysis, proteomics}, month = {November}, number = {3}, pages = {212--219}, posted-at = {2009-06-29 15:47:24}, priority = {2}, title = {Integrated transcriptome and proteome data: the challenges ahead.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15642185}, volume = {3}, year = {2004} }

TY - JOUR ID - citeulike:5013213 L3 - citeulike-article-id:5013213 N2 - 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. IS - 3 JF - Briefings in functional genomics & proteomics SN - 1473-9550 EP - 219 TI - Integrated transcriptome and proteome data: the challenges ahead. VL - 3 SP - 212 KW - gene_expression KW - meta-analysis KW - proteomics N1 - Review of early integration studies AU - Hack, CJ PY - 2004/11// UR - http://view.ncbi.nlm.nih.gov/pubmed/15642185 ER -