Comparing protein abundance and mRNA expression levels on a genomic scale

Attempts to correlate protein abundance with mRNA expression levels have had variable success. We review the results of these comparisons, focusing on yeast. In the process, we survey experimental techniques for determining protein abundance, principally two-dimensional gel electrophoresis and mass-spectrometry. We also merge many of the available yeast protein-abundance datasets, using the resulting larger 'meta-dataset' to find correlations between protein and mRNA expression, both globally and within smaller categories.

[1]  P. O’Farrell High resolution two-dimensional electrophoresis of proteins. , 1975, The Journal of biological chemistry.

[2]  J. Bennetzen,et al.  Codon selection in yeast. , 1982, The Journal of biological chemistry.

[3]  P. Sharp,et al.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications. , 1987, Nucleic acids research.

[4]  J. Seilhamer,et al.  A comparison of selected mRNA and protein abundances in human liver , 1997, Electrophoresis.

[5]  M Schena,et al.  Microarrays: biotechnology's discovery platform for functional genomics. , 1998, Trends in biotechnology.

[6]  Ronald W. Davis,et al.  A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.

[7]  Zoltan Szallasi,et al.  Genetic Network Analysis in Light of Massively Parallel Biological Data Acquisition , 1998, Pacific Symposium on Biocomputing.

[8]  Dmitrij Frishman,et al.  MIPS: a database for genomes and protein sequences , 1999, Nucleic Acids Res..

[9]  B. Futcher,et al.  A Sampling of the Yeast Proteome , 1999, Molecular and Cellular Biology.

[10]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[11]  D. Botstein,et al.  Exploring the new world of the genome with DNA microarrays , 1999, Nature Genetics.

[12]  V Hatzimanikatis,et al.  Proteomics: Theoretical and Experimental Considerations , 1999, Biotechnology progress.

[13]  S. Gygi,et al.  Correlation between Protein and mRNA Abundance in Yeast , 1999, Molecular and Cellular Biology.

[14]  K. H. Wolfe,et al.  Relationship of codon bias to mRNA concentration and protein length in Saccharomyces cerevisiae , 2000, Yeast.

[15]  S. Gygi,et al.  Evaluation of two-dimensional gel electrophoresis-based proteome analysis technology. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Dmitrij Frishman,et al.  MIPS: a database for genomes and protein sequences , 2000, Nucleic Acids Res..

[17]  Pierre Baldi,et al.  A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes , 2001, Bioinform..

[18]  R. Aebersold,et al.  Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry , 2001, Nature Biotechnology.

[19]  Matthew Davison,et al.  Validation and development of fluorescence two‐dimensional differential gel electrophoresis proteomics technology , 2001, Proteomics.

[20]  J. Yates,et al.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology , 2001, Nature Biotechnology.

[21]  J. Yates,et al.  An automated multidimensional protein identification technology for shotgun proteomics. , 2001, Analytical chemistry.

[22]  M. Gerstein,et al.  Interrelating different types of genomic data, from proteome to secretome: 'oming in on function. , 2001, Genome research.

[23]  A. Vlahou,et al.  Proteomic approaches to biomarker discovery in prostate and bladder cancers , 2001, Proteomics.

[24]  E. Petricoin,et al.  Use of proteomic patterns in serum to identify ovarian cancer , 2002, The Lancet.

[25]  Stephen G Oliver,et al.  Dynamics of Protein Turnover, a Missing Dimension in Proteomics* , 2002, Molecular & Cellular Proteomics.

[26]  Nan Hu,et al.  2D Differential In-gel Electrophoresis for the Identification of Esophageal Scans Cell Cancer-specific Protein Markers* , 2002, Molecular & Cellular Proteomics.

[27]  David E. Misek,et al.  Discordant Protein and mRNA Expression in Lung Adenocarcinomas * , 2002, Molecular & Cellular Proteomics.

[28]  F. Christians,et al.  High-density genechip oligonucleotide probe arrays. , 2002, Advances in biochemical engineering/biotechnology.

[29]  M. Gerstein,et al.  Relating whole-genome expression data with protein-protein interactions. , 2002, Genome research.

[30]  D. Chan,et al.  Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. , 2002, Clinical chemistry.

[31]  M. Gerstein,et al.  Subcellular localization of the yeast proteome. , 2002, Genes & development.

[32]  A. Ciechanover,et al.  The ubiquitin-proteasome proteolytic pathway: destruction for the sake of construction. , 2002, Physiological reviews.

[33]  M. Gerstein,et al.  Genomic and proteomic analysis of the myeloid differentiation program: global analysis of gene expression during induced differentiation in the MPRO cell line. , 2002, Blood.

[34]  Rainer Cramer,et al.  Evaluation of Two-dimensional Differential Gel Electrophoresis for Proteomic Expression Analysis of a Model Breast Cancer Cell System* , 2002, Molecular & Cellular Proteomics.

[35]  S. Loening,et al.  Different mRNA and protein expression of matrix metalloproteinases 2 and 9 and tissue inhibitor of metalloproteinases 1 in benign and malignant prostate tissue. , 2002, European urology.

[36]  Christopher Gerner,et al.  Concomitant Determination of Absolute Values of Cellular Protein Amounts, Synthesis Rates, and Turnover Rates by Quantitative Proteome Profiling* , 2002, Molecular & Cellular Proteomics.

[37]  Mark Gerstein,et al.  Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts , 2002, Bioinform..

[38]  John R Yates,et al.  Analysis of quantitative proteomic data generated via multidimensional protein identification technology. , 2002, Analytical chemistry.

[39]  P. F. Macgregor,et al.  Application of microarrays to the analysis of gene expression in cancer. , 2002, Clinical chemistry.

[40]  R. Wait,et al.  Fluorescence two‐dimensional difference gel electrophoresis and mass spectrometry based proteomic analysis of Escherichia coli , 2002, Proteomics.

[41]  Thomas P Conrads,et al.  The SELDI-TOF MS approach to proteomics: protein profiling and biomarker identification. , 2002, Biochemical and biophysical research communications.

[42]  Torben F. Ørntoft,et al.  Genome-wide Study of Gene Copy Numbers, Transcripts, and Protein Levels in Pairs of Non-invasive and Invasive Human Transitional Cell Carcinomas* , 2002, Molecular & Cellular Proteomics.

[43]  David Ward,et al.  Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data , 2003, Bioinform..

[44]  E. Winzeler,et al.  Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[45]  Mark Gerstein,et al.  Revisiting the codon adaptation index from a whole-genome perspective: analyzing the relationship between gene expression and codon occurrence in yeast using a variety of models. , 2003, Nucleic acids research.

[46]  John D. Storey,et al.  Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[47]  Roger E Bumgarner,et al.  The Transcriptome and Its Translation during Recovery from Cell Cycle Arrest in Saccharomyces cerevisiae* , 2003, Molecular & Cellular Proteomics.

[48]  Joshua E. Elias,et al.  Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome. , 2003, Journal of proteome research.

[49]  Mark Gerstein,et al.  Identification and correction of spurious spatial correlations in microarray data. , 2003, BioTechniques.

[50]  J. Klose Protein mapping by combined isoelectric focusing and electrophoresis of mouse tissues , 1975, Humangenetik.