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      Mapping the native interaction surfaces of PREP1 with PBX1 by cross-linking mass-spectrometry and mutagenesis

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          Abstract

          Both onco-suppressor PREP1 and the oncogene MEIS1 bind to PBX1. This interaction stabilizes the two proteins and allows their translocation into the nucleus and thus their transcriptional activity. Here, we have combined cross-linking mass-spectrometry and systematic mutagenesis to detail the binding geometry of the PBX1-PREP1 (and PBX1-MEIS1) complexes, under native in vivo conditions. The data confirm the existence of two distinct interaction sites within the PBC domain of PBX1 and unravel differences among the highly similar binding sites of MEIS1 and PREP1. The HR2 domain has a fundamental role in binding the PBC-B domain of PBX1 in both PREP1 and MEIS1. The HR1 domain of MEIS1, however, seem to play a less stringent role in PBX1 interaction with respect to that of PREP1. This difference is also reflected by the different binding affinity of the two proteins to PBX1. Although partial, this analysis provides for the first time some ideas on the tertiary structure of the complexes not available before. Moreover, the extensive mutagenic analysis of PREP1 identifies the role of individual hydrophobic HR1 and HR2 residues, both in vitro and in vivo.

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          Modular Organization and Assembly of SWI/SNF Family Chromatin Remodeling Complexes

          Mammalian SWI/SNF (mSWI/SNF) ATP-dependent chromatin remodeling complexes are multi-subunit molecular machines that play vital roles in regulating genomic architecture and are frequently disrupted in human cancer and developmental disorders. To date, the modular organization and pathways of assembly of these chromatin regulators remain unknown, presenting a major barrier to structural and functional determination. Here, we elucidate the architecture and assembly pathway across three classes of mSWI/SNF complexes—canonical BRGI/BRM-associated factor (BAF), polybromo-associated BAF (PBAF), and newly defined ncBAF complexes—and define the requirement of each subunit for complex formation and stability. Using affinity purification of endogenous complexes from mammalian and Drosophila cells coupled with cross-linking mass spectrometry (CX-MS) and mutagenesis, we uncover three distinct and evolutionarily conserved modules, their organization, and the temporal incorporation of these modules into each complete mSWI/SNF complex class. Finally, we map human disease-associated mutations within subunits and modules, defining specific topological regions that are affected upon subunit perturbation. Mapping assembly pathways for mSWI/ SNF remodeling complexes delineates three distinct organizational modules and contextualizes human disease mutations.
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            NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning

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              A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides

              We describe pLink 2, a search engine with higher speed and reliability for proteome-scale identification of cross-linked peptides. With a two-stage open search strategy facilitated by fragment indexing, pLink 2 is ~40 times faster than pLink 1 and 3~10 times faster than Kojak. Furthermore, using simulated datasets, synthetic datasets, 15N metabolically labeled datasets, and entrapment databases, four analysis methods were designed to evaluate the credibility of ten state-of-the-art search engines. This systematic evaluation shows that pLink 2 outperforms these methods in precision and sensitivity, especially at proteome scales. Lastly, re-analysis of four published proteome-scale cross-linking datasets with pLink 2 required only a fraction of the time used by pLink 1, with up to 27% more cross-linked residue pairs identified. pLink 2 is therefore an efficient and reliable tool for cross-linking mass spectrometry analysis, and the systematic evaluation methods described here will be useful for future software development.
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                Author and article information

                Contributors
                chiara.bruckmann@ifom.eu
                francesco.blasi@ifom.eu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 October 2020
                8 October 2020
                2020
                : 10
                : 16809
                Affiliations
                [1 ] GRID grid.7678.e, ISNI 0000 0004 1757 7797, IFOM (Foundation FIRC Institute of Molecular Oncology), ; Via Adamello 16, 20139 Milan, Italy
                [2 ] GRID grid.429699.9, ISNI 0000 0004 1790 0507, Institute of Biostructures and Bioimaging (IBB)-CNR, ; Via Mezzocannone 16, 80134 Naples, Italy
                [3 ] GRID grid.15667.33, ISNI 0000 0004 1757 0843, Present Address: Department of Experimental Oncology, , European Institute of Oncology, ; Via Adamello 16, 20139 Milan, Italy
                [4 ] GRID grid.25786.3e, ISNI 0000 0004 1764 2907, Present Address: Center for Nanotechnology Innovation@NEST, , Istituto Italiano di Tecnologia, ; Piazza San Silvestro 12, 56124 Pisa, Italy
                [5 ]Present Address: Cogentech S.R.L. Benefit Corporation IT, Via Adamello 16, 20139 Milan, Italy
                Article
                PMC7545097 PMC7545097 7545097 74032
                10.1038/s41598-020-74032-w
                7545097
                33033354
                45364c50-907f-43de-bef0-d67b4d0d937f
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 December 2019
                : 25 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004710, Fondazione Umberto Veronesi;
                Funded by: Regione Campamia
                Funded by: FundRef http://dx.doi.org/10.13039/501100005010, Associazione Italiana per la Ricerca sul Cancro;
                Award ID: 2015-16759
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Developmental biology,Structural biology,Biochemistry

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