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      Complete loss of miR-200 family induces EMT associated cellular senescence in gastric cancer

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          Abstract

          The EMT (epithelial-to-mesenchymal-transition) subtype of gastric cancer (GC) is associated with poor treatment responses and unfavorable clinical outcomes. Despite the broad physiological roles of the micro-RNA (miR)-200 family, they largely serve to maintain the overall epithelial phenotype. However, during late-stage gastric tumorigenesis, members of the miR-200 family are markedly suppressed, resulting in the transition to the mesenchymal state and the acquisition of invasive properties. As such, the miR-200 family represents a robust molecular marker of EMT, and subsequently, disease severity and prognosis. Most reports have studied the effect of single miR-200 family member knockdown. Here, we employ a multiplex CRISPR/Cas9 system to generate a complete miR-200 family knockout (FKO) to investigate their collective and summative role in regulating key cellular processes during GC pathogenesis. Genetic deletion of all miR-200s in the human GC cell lines induced potent morphological alterations, G1/S cell cycle arrest, increased senescence-associated β-galactosidase (SA-β−Gal) activity, and aberrant metabolism, collectively resembling the senescent phenotype. Coupling RNA-seq data with publicly available datasets, we revealed a clear separation of senescent and non-senescent states amongst FKO cells and control cells, respectively. Further analysis identified key senescence-associated secretory phenotype (SASP) components in FKO cells and a positive feedback loop for maintenance of the senescent state controlled by activation of TGF-β and TNF-α pathways. Finally, we showed that miR-200 FKO associated senescence in cancer epithelial cells significantly recruited stromal cells in the tumor microenvironment. Our work has identified a new role of miR-200 family members which function as an integrated unit serving to link senescence with EMT, two major conserved biological processes.

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          Most cited references37

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          xCell: digitally portraying the tissue cellular heterogeneity landscape

          Tissues are complex milieus consisting of numerous cell types. Several recent methods have attempted to enumerate cell subsets from transcriptomes. However, the available methods have used limited sources for training and give only a partial portrayal of the full cellular landscape. Here we present xCell, a novel gene signature-based method, and use it to infer 64 immune and stromal cell types. We harmonized 1822 pure human cell type transcriptomes from various sources and employed a curve fitting approach for linear comparison of cell types and introduced a novel spillover compensation technique for separating them. Using extensive in silico analyses and comparison to cytometry immunophenotyping, we show that xCell outperforms other methods. xCell is available at http://xCell.ucsf.edu/. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1349-1) contains supplementary material, which is available to authorized users.
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            Hallmarks of Cellular Senescence

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              Repair of double-strand breaks induced by CRISPR–Cas9 leads to large deletions and complex rearrangements

              CRISPR-Cas9 is poised to become the gene editing tool of choice in clinical contexts. Thus far, exploration of Cas9-induced genetic alterations has been limited to the immediate vicinity of the target site and distal off-target sequences, leading to the conclusion that CRISPR-Cas9 was reasonably specific. Here we report significant on-target mutagenesis, such as large deletions and more complex genomic rearrangements at the targeted sites in mouse embryonic stem cells, mouse hematopoietic progenitors and a human differentiated cell line. Using long-read sequencing and long-range PCR genotyping, we show that DNA breaks introduced by single-guide RNA/Cas9 frequently resolved into deletions extending over many kilobases. Furthermore, lesions distal to the cut site and crossover events were identified. The observed genomic damage in mitotically active cells caused by CRISPR-Cas9 editing may have pathogenic consequences.
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                Author and article information

                Contributors
                liuyddoc@163.com
                jkli65975@163.com
                Journal
                Oncogene
                Oncogene
                Oncogene
                Nature Publishing Group UK (London )
                0950-9232
                1476-5594
                19 October 2021
                19 October 2021
                2022
                : 41
                : 1
                : 26-36
                Affiliations
                [1 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of General Surgery, Shanghai General Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, 200080 China
                [2 ]GRID grid.9227.e, ISNI 0000000119573309, Institut Pasteur of Shanghai, , Chinese Academy of Sciences, ; Shanghai, 200031 China
                [3 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Clinical Pathology, , University of Melbourne, Melbourne, ; Victoria, 3133 Australia
                [4 ]GRID grid.419789.a, ISNI 0000 0000 9295 3933, Department of Upper Gastrointestinal and Hepatobiliary Surgery, , Monash Health, Clayton, ; Victoria, 3168 Australia
                [5 ]GRID grid.452824.d, Centre for Innate Immunity and Infectious Diseases, , Hudson Institute of Medical Research, Clayton, ; Victoria, 3168 Australia
                [6 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Department of Molecular Translational Science, Faculty of Medicine, Nursing and Health Sciences, , Monash University, Clayton, ; Victoria, 3800 Australia
                [7 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, 201620 China
                [8 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Faculty of Medical Laboratory Science, Ruijin Hospital, School of Medicine, , Shanghai Jiao Tong University, ; Shanghai, China
                [9 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of Laboratory Animal Centre, Shanghai General Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, 201620 China
                [10 ]GRID grid.410711.2, ISNI 0000 0001 1034 1720, Department of Biostatistics, UNC Gillings School of Global Public Health, , University of North Carolina, ; Chapel Hill, USA
                Author information
                http://orcid.org/0000-0001-8331-2357
                http://orcid.org/0000-0002-7552-4656
                http://orcid.org/0000-0001-7788-1916
                http://orcid.org/0000-0001-5613-3222
                Article
                2067
                10.1038/s41388-021-02067-y
                8724006
                34667277
                8505cb0d-d0aa-4a79-849e-d8315f01e615
                © 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
                : 2 March 2021
                : 17 September 2021
                : 6 October 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 82072643
                Award ID: 81673034
                Award Recipient :
                Funded by: Shanghai Natural Science Foundation (Grant Reference Number 19ZR1441000).
                Funded by: the Operational Infrastructure Support Program by the Victorian Government of Australia. J.J. Balic was supported by an Australian Postgraduate Award from the Australian Government. B.J. Jenkins is supported by an NHMRC Senior Medical Research Fellowship (APP1154279)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2022

                Oncology & Radiotherapy
                cancer microenvironment,gastric cancer,senescence
                Oncology & Radiotherapy
                cancer microenvironment, gastric cancer, senescence

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