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      The PRMT5/WDR77 complex regulates alternative splicing through ZNF326 in breast cancer

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          Abstract

          We observed overexpression and increased intra-nuclear accumulation of the PRMT5/WDR77 in breast cancer cell lines relative to immortalized breast epithelial cells. Utilizing mass spectrometry and biochemistry approaches we identified the Zn-finger protein ZNF326, as a novel interaction partner and substrate of the nuclear PRMT5/WDR77 complex. ZNF326 is symmetrically dimethylated at arginine 175 (R175) and this modification is lost in a PRMT5 and WDR77-dependent manner. Loss of PRMT5 or WDR77 in MDA-MB-231 cells leads to defects in alternative splicing, including inclusion of A-T rich exons in target genes, a phenomenon that has previously been observed upon loss of ZNF326. We observed that the alternatively spliced transcripts of a subset of these genes, involved in proliferation and tumor cell migration like REPIN1/AP4, ST3GAL6, TRNAU1AP and PFKM are degraded upon loss of PRMT5. In summary, we have identified a novel mechanism through which the PRMT5/WDR77 complex maintains the balance between splicing and mRNA stability through methylation of ZNF326.

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          Most cited references51

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          A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

          Data analysis and interpretation remain major logistical challenges when attempting to identify large numbers of protein phosphorylation sites by nanoscale reverse-phase liquid chromatography/tandem mass spectrometry (LC-MS/MS) (Supplementary Figure 1 online). In this report we address challenges that are often only addressable by laborious manual validation, including data set error, data set sensitivity and phosphorylation site localization. We provide a large-scale phosphorylation data set with a measured error rate as determined by the target-decoy approach, we demonstrate an approach to maximize data set sensitivity by efficiently distracting incorrect peptide spectral matches (PSMs), and we present a probability-based score, the Ascore, that measures the probability of correct phosphorylation site localization based on the presence and intensity of site-determining ions in MS/MS spectra. We applied our methods in a fully automated fashion to nocodazole-arrested HeLa cell lysate where we identified 1,761 nonredundant phosphorylation sites from 491 proteins with a peptide false-positive rate of 1.3%.
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            Arginine methylation an emerging regulator of protein function.

            Arginine methylation is now coming out of the shadows of protein phosphorylation and entering the mainstream, largely due to the identification of the family of enzymes that lay down this modification. In addition, modification-specific antibodies and proteomic approaches have facilitated the identification of an array of substrates for the protein arginine methyltransferases. This review describes recent insights into the molecular processes regulated by arginine methylation in normal and diseased cells.
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              DTASelect and Contrast: tools for assembling and comparing protein identifications from shotgun proteomics.

              The components of complex peptide mixtures can be separated by liquid chromatography, fragmented by tandem mass spectrometry, and identified by the SEQUEST algorithm. Inferring a mixture's source proteins requires that the identified peptides be reassociated. This process becomes more challenging as the number of peptides increases. DTASelect, a new software package, assembles SEQUEST identifications and highlights the most significant matches. The accompanying Contrast tool compares DTASelect results from multiple experiments. The two programs improve the speed and precision of proteomic data analysis.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                02 November 2017
                21 August 2017
                21 August 2017
                : 45
                : 19
                : 11106-11120
                Affiliations
                [1 ]Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
                [2 ]Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
                [3 ]Department of Medicine, Division of Nephrology, Bioinformatics Laboratory, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
                [4 ]Center for Life Sciences, School of Life Sciences and Technology, Harbin Institute of Technology, Harbin 150080, China
                [5 ]Departmentof Biological Chemistry and the Institute of Genomics and Proteomics, University of California, Los Angeles, CA 90095, USA
                [6 ]Wallenberg Centre for Molecular Medicine, Department of Medical Biosciences, University of Umeå, Försörjningsvägen 19073, Umeå, Sweden
                [7 ]The Mount Sinai Center for RNA Biology and Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +1 212 241 9714; Fax: +1 212 996 7214; Email: martin.walsh@ 123456mssm.edu
                Article
                gkx727
                10.1093/nar/gkx727
                5737218
                28977470
                349b7683-a83d-4cf1-b0d7-622e8f74f06f
                © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 11 August 2017
                : 21 July 2017
                Page count
                Pages: 15
                Categories
                Gene regulation, Chromatin and Epigenetics

                Genetics
                Genetics

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