Literature DB >> 24094321

iPSC crowdsourcing: a model for obtaining large panels of stem cell lines for screening.

Mahendra Rao1.   

Abstract

A key to tapping the potential of iPSCs is the establishment of readily accessible well-characterized panels of lines for custom screening. Here, we propose a crowdsourcing strategy to rapidly develop a large repository of iPSCs and provide a model for how the NIH could support this effort.
Copyright © 2013 Elsevier Inc. All rights reserved.

Mesh:

Year:  2013        PMID: 24094321     DOI: 10.1016/j.stem.2013.09.005

Source DB:  PubMed          Journal:  Cell Stem Cell        ISSN: 1875-9777            Impact factor:   24.633


  13 in total

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Review 3.  Cell therapy for type 1 diabetes.

Authors:  K R Muir; M J Lima; H M Docherty; K Docherty
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4.  Platform for induction and maintenance of transgene-free hiPSCs resembling ground state pluripotent stem cells.

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Journal:  Stem Cell Reports       Date:  2014-03-06       Impact factor: 7.765

5.  Banking on iPSC--is it doable and is it worthwhile.

Authors:  Susan Solomon; Fernando Pitossi; Mahendra S Rao
Journal:  Stem Cell Rev Rep       Date:  2015-02       Impact factor: 5.739

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Journal:  Stem Cells Transl Med       Date:  2016-08-02       Impact factor: 6.940

7.  An Integrated Miniature Bioprocessing for Personalized Human Induced Pluripotent Stem Cell Expansion and Differentiation into Neural Stem Cells.

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Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

Review 8.  Modeling Kidney Disease with iPS Cells.

Authors:  Benjamin S Freedman
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Review 9.  Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Afford New Opportunities in Inherited Cardiovascular Disease Modeling.

Authors:  Daniel R Bayzigitov; Sergey P Medvedev; Elena V Dementyeva; Sevda A Bayramova; Evgeny A Pokushalov; Alexander M Karaskov; Suren M Zakian
Journal:  Cardiol Res Pract       Date:  2016-03-27       Impact factor: 1.866

10.  Inequality Issues in Stem Cell Medicine.

Authors:  Kiryu K Yap
Journal:  Stem Cells Transl Med       Date:  2016-02       Impact factor: 6.940

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