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      Convergent Alterations of a Protein Hub Produce Divergent Effects within a Binding Site

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          Abstract

          Progress in tumor sequencing and cancer databases has created an enormous amount of information that scientists struggle to sift through. While several research groups have created computational methods to analyze these databases, much work still remains in distinguishing key implications of pathogenic mutations. Here, we describe an approach to identify and evaluate somatic cancer mutations of WD40 repeat protein 5 (WDR5), a chromatin-associated protein hub. This multitasking protein maintains the functional integrity of large multi-subunit enzymatic complexes of the six human SET1 methyltransferases. Remarkably, the somatic cancer mutations of WDR5 preferentially distribute within and around an essential cavity, which hosts the WDR5 interaction (Win) binding site. Hence, we assessed the real-time binding kinetics of the interactions of key clustered WDR5 mutants with the Win motif peptide ligands of the SET1 family members (SET1 Win). Our measurements highlight that this subset of mutants exhibits divergent perturbations in the kinetics and strength of interactions not only relative to those of the native WDR5 but also among various SET1 Win ligands. These outcomes could form a fundamental basis for future drug discovery and other developments in medical biotechnology.

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          Most cited references76

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          COSMIC: the Catalogue Of Somatic Mutations In Cancer

          Abstract COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.
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            COSMIC: somatic cancer genetics at high-resolution

            COSMIC, the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk) is a high-resolution resource for exploring targets and trends in the genetics of human cancer. Currently the broadest database of mutations in cancer, the information in COSMIC is curated by expert scientists, primarily by scrutinizing large numbers of scientific publications. Over 4 million coding mutations are described in v78 (September 2016), combining genome-wide sequencing results from 28 366 tumours with complete manual curation of 23 489 individual publications focused on 186 key genes and 286 key fusion pairs across all cancers. Molecular profiling of large tumour numbers has also allowed the annotation of more than 13 million non-coding mutations, 18 029 gene fusions, 187 429 genome rearrangements, 1 271 436 abnormal copy number segments, 9 175 462 abnormal expression variants and 7 879 142 differentially methylated CpG dinucleotides. COSMIC now details the genetics of drug resistance, novel somatic gene mutations which allow a tumour to evade therapeutic cancer drugs. Focusing initially on highly characterized drugs and genes, COSMIC v78 contains wide resistance mutation profiles across 20 drugs, detailing the recurrence of 301 unique resistance alleles across 1934 drug-resistant tumours. All information from the COSMIC database is available freely on the COSMIC website.
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              Regulation of MLL1 H3K4 methyltransferase activity by its core components.

              Histone H3 Lys4 (H3K4) methylation is a prevalent mark associated with transcription activation. A common feature of several H3K4 methyltransferase complexes is the presence of three structural components (RbBP5, Ash2L and WDR5) and a catalytic subunit containing a SET domain. Here we report the first biochemical reconstitution of a functional four-component mixed-lineage leukemia protein-1 (MLL1) core complex. This reconstitution, combined with in vivo assays, allows direct analysis of the contribution of each component to MLL1 enzymatic activity and their roles in transcriptional regulation. Moreover, taking clues from a crystal structure analysis, we demonstrate that WDR5 mediates interactions of the MLL1 catalytic unit both with the common structural platform and with the histone substrate. Mechanistic insights gained from this study can be generalized to the whole family of SET1-like histone methyltransferases in mammals.
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                Author and article information

                Journal
                ACS Chem Biol
                ACS Chem Biol
                cb
                acbcct
                ACS Chemical Biology
                American Chemical Society
                1554-8929
                1554-8937
                25 May 2022
                17 June 2022
                : 17
                : 6
                : 1586-1597
                Affiliations
                []Department of Physics, Syracuse University , 201 Physics Building, Syracuse, New York 13244-1130, United States
                []Ichor Life Sciences, Inc. , 2651 US Route 11, LaFayette, New York 13084, United States
                [§ ]Department of Chemistry, State University of New York College of Environmental Science and Forestry , 1 Forestry Dr., Syracuse, New York 13210, United States
                []Department of Biochemistry and Molecular Biology, State University of New York Upstate Medical University , 4249 Weiskotten Hall, 766 Irving Avenue, Syracuse, New York 13210, United States
                []Lewis School of Health Sciences, Clarkson University , 8 Clarkson Avenue, Potsdam, New York 13699, United States
                [# ]Department of Biomedical and Chemical Engineering, Syracuse University , 329 Link Hall, Syracuse, New York 13244, United States
                []The BioInspired Institute, Syracuse University , Syracuse, New York 13244, United States
                Author notes
                Author information
                https://orcid.org/0000-0002-2525-3341
                Article
                10.1021/acschembio.2c00273
                9207812
                35613319
                e1d825de-38cb-4fe4-b3e0-dc9522cab266
                © 2022 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 30 March 2022
                : 11 May 2022
                Funding
                Funded by: National Cancer Institute, doi 10.13039/100000054;
                Award ID: R01 CA140522
                Funded by: National Institute of General Medical Sciences, doi 10.13039/100000057;
                Award ID: R01 GM129429
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                cb2c00273
                cb2c00273

                Biochemistry
                Biochemistry

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