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      The DBHS proteins SFPQ, NONO and PSPC1: a multipurpose molecular scaffold

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      1 , 1 , 2 , 3 , *
      Nucleic Acids Research
      Oxford University Press

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          Abstract

          Nuclear proteins are often given a concise title that captures their function, such as ‘transcription factor,’ ‘polymerase’ or ‘nuclear-receptor.’ However, for members of the Drosophila behavior/human splicing (DBHS) protein family, no such clean-cut title exists. DBHS proteins are frequently identified engaging in almost every step of gene regulation, including but not limited to, transcriptional regulation, RNA processing and transport, and DNA repair. Herein, we present a coherent picture of DBHS proteins, integrating recent structural insights on dimerization, nucleic acid binding modalities and oligomerization propensity with biological function. The emerging paradigm describes a family of dynamic proteins mediating a wide range of protein–protein and protein–nucleic acid interactions, on the whole acting as a multipurpose molecular scaffold. Overall, significant steps toward appreciating the role of DBHS proteins have been made, but we are only beginning to understand the complexity and broader importance of this family in cellular biology.

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          Most cited references137

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          RNA recognition motifs: boring? Not quite.

          The RNA recognition motif (RRM) is one of the most abundant protein domains in eukaryotes. While the structure of this domain is well characterized by the packing of two alpha-helices on a four-stranded beta-sheet, the mode of protein and RNA recognition by RRMs is not clear owing to the high variability of these interactions. Here we report recent structural data on RRM-RNA and RRM-protein interactions showing the ability of this domain to modulate its binding affinity and specificity using each of its constitutive elements (beta-strands, loops, alpha-helices). The extreme structural versatility of the RRM interactions explains why RRM-containing proteins have so diverse biological functions.
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            Long non-coding RNA MALAT1 promotes tumour growth and metastasis in colorectal cancer through binding to SFPQ and releasing oncogene PTBP2 from SFPQ/PTBP2 complex

            Background: Metastasis associated with lung adenocarcinoma transcript-1 (MALAT1) is a functional long non-coding RNA (lncRNA), which is highly expressed in several tumours, including colorectal cancer (CRC). Its biological function and mechanism in the prognosis of human CRC is still largely under investigation. Methods: This study aimed to investigate the new effect mechanism of MALAT1 on the proliferation and migration of CRC cells in vitro and in vivo, and detect the expression of MALAT1, SFPQ (also known as PSF (PTB-associated splicing factor)), and PTBP2 (also known as PTB (polypyrimidine-tract-binding protein)) in CRC tumour tissues, followed by correlated analysis with clinicopathological parameters. Results: We found that overexpression of MALAT1 could promote cell proliferation and migration in vitro, and promote tumour growth and metastasis in nude mice. The underlying mechanism was associated with tumour suppressor gene SFPQ and proto-oncogene PTBP2. In CRC, MALAT1 could bind to SFPQ, thus releasing PTBP2 from the SFPQ/PTBP2 complex. In turn, the increased SFPQ-detached PTBP2 promoted cell proliferation and migration. SFPQ critically mediated the regulatory effects of MALAT1. Moreover, in CRC tissues, MALAT1 and PTBP2 were overexpressed, both of which were associated closely with the invasion and metastasis of CRC. However, the SFPQ showed unchanged expression either in CRC tissues or adjacent normal tissues. Conclusions: Our findings implied that MALAT1 might be a potential predictor for tumour metastasis and prognosis. Furthermore, the interaction between MALAT1 and SFPQ could be a novel therapeutic target for CRC.
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              Identifying specific protein interaction partners using quantitative mass spectrometry and bead proteomes

              The identification of interaction partners in protein complexes is a major goal in cell biology. Here we present a reliable affinity purification strategy to identify specific interactors that combines quantitative SILAC-based mass spectrometry with characterization of common contaminants binding to affinity matrices (bead proteomes). This strategy can be applied to affinity purification of either tagged fusion protein complexes or endogenous protein complexes, illustrated here using the well-characterized SMN complex as a model. GFP is used as the tag of choice because it shows minimal nonspecific binding to mammalian cell proteins, can be quantitatively depleted from cell extracts, and allows the integration of biochemical protein interaction data with in vivo measurements using fluorescence microscopy. Proteins binding nonspecifically to the most commonly used affinity matrices were determined using quantitative mass spectrometry, revealing important differences that affect experimental design. These data provide a specificity filter to distinguish specific protein binding partners in both quantitative and nonquantitative pull-down and immunoprecipitation experiments.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                19 May 2016
                15 April 2016
                15 April 2016
                : 44
                : 9
                : 3989-4004
                Affiliations
                [1 ]School of Chemistry and Biochemistry, The University of Western Australia, Crawley, Western Australia, WA 6009, Australia
                [2 ]School of Anatomy, Physiology and Human Biology, The University of Western Australia, Crawley, Western Australia, WA 6009, Australia
                [3 ]Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA 6009, Australia
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +61 08 6488 3297; Email: archa.fox@ 123456uwa.edu.au
                Article
                10.1093/nar/gkw271
                4872119
                27084935
                ec001534-1832-4cf0-ae63-8f03f83fc700
                © The Author(s) 2016. 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
                : 05 April 2016
                : 04 April 2016
                : 18 February 2016
                Page count
                Pages: 16
                Categories
                Survey and Summary
                Custom metadata
                19 May 2016

                Genetics
                Genetics

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