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      System Wide Analyses have Underestimated Protein Abundances and Transcriptional Importance in Mammals

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          Abstract

          System wide surveys in mammals suggest that the protein expressed at the median abundance is present at 8,000 - 16,000 molecules per cell and that differences in mRNA expression between genes explain only 10-40% of the differences in protein levels. We find, however, that these surveys have significantly underestimated protein abundances. Using individual measurements for 61 housekeeping proteins to rescale whole proteome data from Schwanhausser et al., we find that the median protein detected is expressed at 170,000 molecules per cell and that our corrected protein abundance estimates show a higher correlation with mRNA abundances than the uncorrected protein data. To estimate the degree to which mRNA expression levels determine protein levels, it is critical to measure the error in protein and mRNA abundance data and to consider all genes. By taking direct measurements of experimental error into account, we estimate that mRNA levels explain at least 56% of the differences in protein abundance for the 4,212 genes detected by Schwanhausser et al. By in addition modeling all genes' expression, we show that mRNA levels can explain at least 65% of protein levels for expressed genes and 100% for genes that are not expressed. We also employ a second strategy to determine the contribution of mRNA levels to protein expression. This shows that the median variance in translation rates directly measured by ribosome profiling in three human and mouse cell lines is 4.6 fold less than the variance inferred by Schwanhausser et al. and that based on this mRNA levels are expected to explain ~75% of the variance in expressed protein levels for the 4,212 detected genes and ~82% for all expressed genes. While the magnitude of our differently derived estimates vary, all suggest that the previous studies have significantly underestimated the importance of transcription.

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          Direct multiplexed measurement of gene expression with color-coded probe pairs.

          We describe a technology, the NanoString nCounter gene expression system, which captures and counts individual mRNA transcripts. Advantages over existing platforms include direct measurement of mRNA expression levels without enzymatic reactions or bias, sensitivity coupled with high multiplex capability, and digital readout. Experiments performed on 509 human genes yielded a replicate correlation coefficient of 0.999, a detection limit between 0.1 fM and 0.5 fM, and a linear dynamic range of over 500-fold. Comparison of the NanoString nCounter gene expression system with microarrays and TaqMan PCR demonstrated that the nCounter system is more sensitive than microarrays and similar in sensitivity to real-time PCR. Finally, a comparison of transcript levels for 21 genes across seven samples measured by the nCounter system and SYBR Green real-time PCR demonstrated similar patterns of gene expression at all transcript levels.
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            Absolute protein expression profiling estimates the relative contributions of transcriptional and translational regulation.

            We report a method for large-scale absolute protein expression measurements (APEX) and apply it to estimate the relative contributions of transcriptional- and translational-level gene regulation in the yeast and Escherichia coli proteomes. APEX relies upon correcting each protein's mass spectrometry sampling depth (observed peptide count) by learned probabilities for identifying the peptides. APEX abundances agree with measurements from controls, western blotting, flow cytometry and two-dimensional gels, as well as known correlations with mRNA abundances and codon bias, providing absolute protein concentrations across approximately three to four orders of magnitude. Using APEX, we demonstrate that 73% of the variance in yeast protein abundance (47% in E. coli) is explained by mRNA abundance, with the number of proteins per mRNA log-normally distributed about approximately 5,600 ( approximately 540 in E. coli) protein molecules/mRNA. Therefore, levels of both eukaryotic and prokaryotic proteins are set per mRNA molecule and independently of overall protein concentration, with >70% of yeast gene expression regulation occurring through mRNA-directed mechanisms.
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              MiR-150 controls B cell differentiation by targeting the transcription factor c-Myb.

              MiR-150 is a microRNA (miRNA) specifically expressed in mature lymphocytes, but not their progenitors. A top predicted target of miR-150 is c-Myb, a transcription factor controlling multiple steps of lymphocyte development. Combining loss- and gain-of-function gene targeting approaches for miR-150 with conditional and partial ablation of c-Myb, we show that miR-150 indeed controls c-Myb expression in vivo in a dose-dependent manner over a narrow range of miRNA and c-Myb concentrations and that this dramatically affects lymphocyte development and response. Our results identify a key transcription factor as a critical target of a stage-specifically expressed miRNA in lymphocytes and suggest that this and perhaps other miRNAs have evolved to control the expression of just a few critical target proteins in particular cellular contexts.
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                Author and article information

                Journal
                1212.0587

                Genetics
                Genetics

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