• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs, and Centers
    • Program in Bioinformatics and Integrative Biology
    • Program in Bioinformatics and Integrative Biology Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs, and Centers
    • Program in Bioinformatics and Integrative Biology
    • Program in Bioinformatics and Integrative Biology Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Song, Chun-Qing
    Li, Yingxiang
    Mou, Haiwei
    Moore, Jill
    Park, Angela I.
    Hough, Soren
    Kennedy, Zachary
    Fischer, Andrew H.
    Conte, Darryl Jr.
    Weng, Zhiping
    Xue, Wen
    Show allShow less
    UMass Chan Affiliations
    Department of Molecular, Cell and Cancer Biology
    Program in Molecular Medicine
    Department of Pathology
    Program in Bioinformatics and Integrative Biology
    RNA Therapeutics Institute
    Document Type
    Journal Article
    Publication Date
    2017-04-01
    Keywords
    CRISPR Screen
    Liver Cancer
    Mouse Model
    Tumor Suppressor Genes
    Biochemistry, Biophysics, and Structural Biology
    Bioinformatics
    Cancer Biology
    Computational Biology
    Gastroenterology
    
    Metadata
    Show full item record
    Link to Full Text
    https://doi.org/10.1053/j.gastro.2016.12.002
    Abstract
    BACKGROUND and AIMS: It has been a challenge to identify liver tumor suppressors or oncogenes due to the genetic heterogeneity of these tumors. We performed a genome-wide screen to identify suppressors of liver tumor formation in mice, using CRISPR-mediated genome editing. METHODS: We performed a genome-wide CRISPR/Cas9-based knockout screen of P53-null mouse embryonic liver progenitor cells that overexpressed MYC. We infected p53-/-;Myc;Cas9 hepatocytes with the mGeCKOa lentiviral library of 67,000 single-guide RNAs (sgRNAs), targeting 20,611 mouse genes, and transplanted the transduced cells subcutaneously into nude mice. Within 1 month, all the mice that received the sgRNA library developed subcutaneous tumors. We performed high-throughput sequencing of tumor DNA and identified sgRNAs increased at least 8-fold compared to the initial cell pool. To validate the top 10 candidate tumor suppressors from this screen, we collected data from patients with hepatocellular carcinoma (HCC) using the Cancer Genome Atlas and COSMIC databases. We used CRISPR to inactivate candidate tumor suppressor genes in p53-/-;Myc;Cas9 cells and transplanted them subcutaneously into nude mice; tumor formation was monitored and tumors were analyzed by histology and immunohistochemistry. Mice with liver-specific disruption of p53 were given hydrodynamic tail-vein injections of plasmids encoding Myc and sgRNA/Cas9 designed to disrupt candidate tumor suppressors; growth of tumors and metastases was monitored. We compared gene expression profiles of liver cells with vs without tumor suppressor gene disrupted by sgRNA/Cas9. Genes found to be up-regulated after tumor suppressor loss were examined in liver cancer cell lines; their expression was knocked down using small hairpin RNAs, and tumor growth was examined in nude mice. Effects of the MEK inhibitors AZD6244, U0126, and trametinib, or the multi-kinase inhibitor sorafenib, were examined in human and mouse HCC cell lines. RESULTS: We identified 4 candidate liver tumor suppressor genes not previously associated with liver cancer (Nf1, Plxnb1, Flrt2, and B9d1). CRISPR-mediated knockout of Nf1, a negative regulator of RAS, accelerated liver tumor formation in mice. Loss of Nf1 or activation of RAS up-regulated the liver progenitor cell markers HMGA2 and SOX9. RAS pathway inhibitors suppressed the activation of the Hmga2 and Sox9 genes that resulted from loss of Nf1 or oncogenic activation of RAS. Knockdown of HMGA2 delayed formation of xenograft tumors from cells that expressed oncogenic RAS. In human HCCs, low levels of NF1 messenger RNA or high levels of HMGA2 messenger RNA were associated with shorter patient survival time. Liver cancer cells with inactivation of Plxnb1, Flrt2, and B9d1 formed more tumors in mice and had increased levels of mitogen-activated protein kinase phosphorylation. CONCLUSIONS: Using a CRISPR-based strategy, we identified Nf1, Plxnb1, Flrt2, and B9d1 as suppressors of liver tumor formation. We validated the observation that RAS signaling, via mitogen-activated protein kinase, contributes to formation of liver tumors in mice. We associated decreased levels of NF1 and increased levels of its downstream protein HMGA2 with survival times of patients with HCC. Strategies to inhibit or reduce HMGA2 might be developed to treat patients with liver cancer.
    Source
    Gastroenterology. 2017 Apr;152(5):1161-1173.e1. doi: 10.1053/j.gastro.2016.12.002. Epub 2016 Dec 10. Link to article on publisher's site
    DOI
    10.1053/j.gastro.2016.12.002
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/25820
    PubMed ID
    27956228
    Notes

    Full author list omitted for brevity. For full list of authors see article.

    Related Resources
    Link to Article in PubMed
    ae974a485f413a2113503eed53cd6c53
    10.1053/j.gastro.2016.12.002
    Scopus Count
    Collections
    Program in Bioinformatics and Integrative Biology Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.