Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system
暂无分享,去创建一个
[1] V. Smith,et al. Chemotherapy-induced dynamic gene expression changes in vivo are prognostic in ovarian cancer , 2014, British Journal of Cancer.
[2] E. Marcotte,et al. Protein-to-mRNA Ratios Are Conserved between Pseudomonas aeruginosa Strains , 2014, Journal of proteome research.
[3] Michael J. Emanuele,et al. A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells , 2014, eLife.
[4] B. Györffy,et al. Meta‐analysis of gene expression profiles associated with histological classification and survival in 829 ovarian cancer samples , 2012, International journal of cancer.
[5] D. Harrison,et al. Defining the molecular response to trastuzumab, pertuzumab and combination therapy in ovarian cancer , 2012, British Journal of Cancer.
[6] E. Marcotte,et al. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses , 2012, Nature Reviews Genetics.
[7] Christine Vogel,et al. Protein Expression Regulation under Oxidative Stress* , 2011, Molecular & Cellular Proteomics.
[8] Daniel R. Salomon,et al. Strategies for aggregating gene expression data: The collapseRows R function , 2011, BMC Bioinformatics.
[9] R. Aebersold,et al. Quantification of mRNA and protein and integration with protein turnover in a bacterium , 2011, Molecular systems biology.
[10] A. Gasch,et al. A dynamic model of proteome changes reveals new roles for transcript alteration in yeast , 2011, Molecular Systems Biology.
[11] D. Harrison,et al. Phosphoprotein pathway profiling of ovarian carcinoma for the identification of potential new targets for therapy. , 2011, European journal of cancer.
[12] D. Harrison,et al. Trastuzumab and Pertuzumab Produce Changes in Morphology and Estrogen Receptor Signaling in Ovarian Cancer Xenografts Revealing New Treatment Strategies , 2011, Clinical Cancer Research.
[13] M. Selbach,et al. Global quantification of mammalian gene expression control , 2011, Nature.
[14] M. Mann,et al. Defining the transcriptome and proteome in three functionally different human cell lines , 2010, Molecular systems biology.
[15] Luis Serrano,et al. Correlation of mRNA and protein in complex biological samples , 2009, FEBS letters.
[16] E. Marcotte,et al. Global signatures of protein and mRNA expression levelsw , 2009 .
[17] Norman Pavelka,et al. Delayed Correlation of mRNA and Protein Expression in Rapamycin-treated Cells and a Role for Ggc1 in Cellular Sensitivity to Rapamycin* , 2009, Molecular & Cellular Proteomics.
[18] R. Aebersold,et al. Comparative Functional Analysis of the Caenorhabditis elegans and Drosophila melanogaster Proteomes , 2009, PLoS biology.
[19] M. Mann,et al. Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast , 2008, Nature.
[20] P. Nelson,et al. Correlation of mRNA and protein levels: Cell type-specific gene expression of cluster designation antigens in the prostate , 2008, BMC Genomics.
[21] Wei-Shou Hu,et al. Uncovering Genes with Divergent mRNA-Protein Dynamics in Streptomyces coelicolor , 2008, PloS one.
[22] Jae K. Lee,et al. Transcript and protein expression profiles of the NCI-60 cancer cell panel: an integromic microarray study , 2007, Molecular Cancer Therapeutics.
[23] V. Thorsson,et al. Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells*S , 2004, Molecular & Cellular Proteomics.
[24] Martin R. Schneider,et al. Comparison of Proteomic and Genomic Analyses of the Human Breast Cancer Cell Line T47D and the Antiestrogen-resistant Derivative T47D-r * , 2004, Molecular & Cellular Proteomics.
[25] M. Gerstein,et al. Comparing protein abundance and mRNA expression levels on a genomic scale , 2003, Genome Biology.
[26] 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.
[27] 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.
[28] K. Malcolm,et al. A Genomic and Proteomic Analysis of Activation of the Human Neutrophil by Lipopolysaccharide and Its Mediation by p38 Mitogen-activated Protein Kinase* , 2002, The Journal of Biological Chemistry.
[29] Sharon L R Kardia,et al. Proteomic analysis of lung adenocarcinoma: identification of a highly expressed set of proteins in tumors. , 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.
[30] David E. Misek,et al. Discordant Protein and mRNA Expression in Lung Adenocarcinomas * , 2002, Molecular & Cellular Proteomics.
[31] L. Hood,et al. Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiae*S , 2002, Molecular & Cellular Proteomics.
[32] 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.
[33] Rork Kuick,et al. Integrating cancer genomics and proteomics in the post‐genome era , 2002, Proteomics.
[34] Roger E Bumgarner,et al. Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. , 2001, Science.
[35] K Matsubara,et al. Expression profiles of active genes in human and mouse livers. , 1996, Gene.
[36] Gordon K. Smyth,et al. limma: Linear Models for Microarray Data , 2005 .
[37] J. Seilhamer,et al. A comparison of selected mRNA and protein abundances in human liver , 1997, Electrophoresis.