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      AKT3-mediated IWS1 phosphorylation promotes the proliferation of EGFR-mutant lung adenocarcinomas through cell cycle-regulated U2AF2 RNA splicing

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          Abstract

          AKT-phosphorylated IWS1 regulates alternative RNA splicing via a pathway that is active in lung cancer. RNA-seq studies in lung adenocarcinoma cells lacking phosphorylated IWS1, identified a exon 2-deficient U2AF2 splice variant. Here, we show that exon 2 inclusion in the U2AF2 mRNA is a cell cycle-dependent process that is regulated by LEDGF/SRSF1 splicing complexes, whose assembly is controlled by the IWS1 phosphorylation-dependent deposition of histone H3K36me3 marks in the body of target genes. The exon 2-deficient U2AF2 mRNA encodes a Serine-Arginine-Rich (RS) domain-deficient U2AF65, which is defective in CDCA5 pre-mRNA processing. This results in downregulation of the CDCA5-encoded protein Sororin, a phosphorylation target and regulator of ERK, G2/M arrest and impaired cell proliferation and tumor growth. Analysis of human lung adenocarcinomas, confirmed activation of the pathway in EGFR-mutant tumors and showed that pathway activity correlates with tumor stage, histologic grade, metastasis, relapse after treatment, and poor prognosis.

          Abstract

          IWS1 regulates multiple steps in RNA metabolism, including RNA elongation and alternative RNA splicing. Here the authors show that AKT3 phosphorylates IWS1, which alters U2AF2 RNA splicing and promotes growth of lung adenocarcinomas via a Sororin/ERK-dependent pathway.

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            Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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              NIH Image to ImageJ: 25 years of image analysis

              For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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                Author and article information

                Contributors
                glaliot1@jhmi.edu
                Philip.tsichlis@osumc.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                30 July 2021
                30 July 2021
                2021
                : 12
                : 4624
                Affiliations
                [1 ]GRID grid.261331.4, ISNI 0000 0001 2285 7943, Department of Cancer Biology and Genetics, , The Ohio State University, ; Columbus, OH USA
                [2 ]GRID grid.413944.f, ISNI 0000 0001 0447 4797, The Ohio State University Comprehensive Cancer Center-Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, ; Columbus, OH USA
                [3 ]GRID grid.8127.c, ISNI 0000 0004 0576 3437, School of Medicine, , University of Crete, ; Heraklion, Crete Greece
                [4 ]GRID grid.67033.31, ISNI 0000 0000 8934 4045, Molecular Oncology Research Institute, Tufts Medical Center, ; Boston, MA USA
                [5 ]GRID grid.8158.4, ISNI 0000 0004 1757 1969, Department of Clinical and Experimental Medicine, Bioinformatics Unit, , University of Catania, ; Catania, Italy
                [6 ]GRID grid.261331.4, ISNI 0000 0001 2285 7943, Department of Medicine, Division of Hematology, , The Ohio State University, ; Columbus, OH USA
                [7 ]Tufts Graduate School of Biomedical Sciences, Program in Genetics, Boston, MA USA
                [8 ]GRID grid.418497.7, DIANA-Lab, Hellenic Pasteur Institute, ; Athens, Greece
                [9 ]GRID grid.511959.0, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, ; Heraklion, Crete Greece
                [10 ]GRID grid.412332.5, ISNI 0000 0001 1545 0811, Department of Internal Medicine, Division of Medical Oncology, , The Ohio State University Medical Center, ; Columbus, OH USA
                [11 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Present Address: Department of Oncology, , Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, ; Baltimore, MD USA
                [12 ]GRID grid.417975.9, ISNI 0000 0004 0620 8857, Present Address: Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, ; Athens, Greece
                [13 ]GRID grid.38142.3c, ISNI 000000041936754X, Present Address: Department Of Pathology, , Beth Israel-Deaconess Medical Center, Harvard Medical School, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0001-9205-8258
                http://orcid.org/0000-0001-5078-2838
                http://orcid.org/0000-0001-6777-456X
                http://orcid.org/0000-0003-4825-7617
                http://orcid.org/0000-0002-1151-5427
                http://orcid.org/0000-0003-3002-1921
                http://orcid.org/0000-0001-6163-1779
                http://orcid.org/0000-0002-5300-0448
                Article
                24795
                10.1038/s41467-021-24795-1
                8324843
                34330897
                1f611889-0e67-45cc-b64f-1d0726a0384a
                © The Author(s) 2021

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 July 2020
                : 5 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: 5R01CA186729
                Award ID: 5R01CA198117
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
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                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                non-small-cell lung cancer,rna splicing
                Uncategorized
                non-small-cell lung cancer, rna splicing

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