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    Novel Observations From Next-Generation RNA Sequencing of Highly Purified Human Adult and Fetal Islet Cell Subsets

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    Authors
    Blodgett, David M.
    Nowosielska, Anetta
    Afik, Shaked
    Pechhold, Susanne
    Cura, Anthony J.
    Kennedy, Norman J.
    Kim, Soyoung
    Kucukural, Alper
    Davis, Roger J.
    Kent, Sally C.
    Greiner, Dale L.
    Garber, Manuel
    Harlan, David M.
    diLorio, Philip J. Jr.
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    UMass Chan Affiliations
    Program in Bioinformatics and Integrative Biology
    Department of Biochemistry and Molecular Pharmacology
    Program in Molecular Medicine
    Diabetes Center of Excellence
    Department of Medicine
    Document Type
    Journal Article
    Publication Date
    2015-09-01
    Keywords
    UMCCTS funding
    Biochemistry
    Bioinformatics
    Cell Biology
    Computational Biology
    Endocrinology, Diabetes, and Metabolism
    Integrative Biology
    Systems Biology
    
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    Link to Full Text
    http://dx.doi.org/10.2337/db15-0039
    Abstract
    Understanding distinct gene expression patterns of normal adult and developing fetal human pancreatic alpha- and beta-cells is crucial for developing stem cell therapies, islet regeneration strategies, and therapies designed to increase beta-cell function in patients with diabetes (type 1 or 2). Toward that end, we have developed methods to highly purify alpha-, beta-, and delta-cells from human fetal and adult pancreata by intracellular staining for the cell-specific hormone content, sorting the subpopulations by flow cytometry, and, using next-generation RNA sequencing, we report the detailed transcriptomes of fetal and adult alpha- and beta-cells. We observed that human islet composition was not influenced by age, sex, or BMI, and transcripts for inflammatory gene products were noted in fetal beta-cells. In addition, within highly purified adult glucagon-expressing alpha-cells, we observed surprisingly high insulin mRNA expression, but not insulin protein expression. This transcriptome analysis from highly purified islet alpha- and beta-cell subsets from fetal and adult pancreata offers clear implications for strategies that seek to increase insulin expression in type 1 and type 2 diabetes. long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
    Source

    Diabetes. 2015 Sep;64(9):3172-81. doi: 10.2337/db15-0039. Epub 2015 Apr 30. Link to article on publisher's site

    DOI
    10.2337/db15-0039
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/25935
    PubMed ID
    25931473
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.2337/db15-0039
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    Garber Lab Publications
    Program in Bioinformatics and Integrative Biology Publications
    UMass Center for Clinical and Translational Science Supported Publications

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