Literature DB >> 26237226

Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells.

Daniel Paull1, Ana Sevilla1, Hongyan Zhou1, Aana Kim Hahn1, Hesed Kim1, Christopher Napolitano1, Alexander Tsankov2,3,4, Linshan Shang1, Katie Krumholz1, Premlatha Jagadeesan1, Chris M Woodard1, Bruce Sun1, Thierry Vilboux5,6, Matthew Zimmer1, Eliana Forero1, Dorota N Moroziewicz1, Hector Martinez1, May Christine V Malicdan5, Keren A Weiss1, Lauren B Vensand1, Carmen R Dusenberry1, Hannah Polus1, Karla Therese L Sy1, David J Kahler1, William A Gahl5,7, Susan L Solomon1, Stephen Chang1, Alexander Meissner2,3,4, Kevin Eggan2,3,4,8, Scott A Noggle1.   

Abstract

Induced pluripotent stem cells (iPSCs) are an essential tool for modeling how causal genetic variants impact cellular function in disease, as well as an emerging source of tissue for regenerative medicine. The preparation of somatic cells, their reprogramming and the subsequent verification of iPSC pluripotency are laborious, manual processes limiting the scale and reproducibility of this technology. Here we describe a modular, robotic platform for iPSC reprogramming enabling automated, high-throughput conversion of skin biopsies into iPSCs and differentiated cells with minimal manual intervention. We demonstrate that automated reprogramming and the pooled selection of polyclonal pluripotent cells results in high-quality, stable iPSCs. These lines display less line-to-line variation than either manually produced lines or lines produced through automation followed by single-colony subcloning. The robotic platform we describe will enable the application of iPSCs to population-scale biomedical problems including the study of complex genetic diseases and the development of personalized medicines.

Entities:  

Mesh:

Year:  2015        PMID: 26237226     DOI: 10.1038/nmeth.3507

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  40 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  iPSC-derived dopamine neurons reveal differences between monozygotic twins discordant for Parkinson's disease.

Authors:  Chris M Woodard; Brian A Campos; Sheng-Han Kuo; Melissa J Nirenberg; Michael W Nestor; Matthew Zimmer; Eugene V Mosharov; David Sulzer; Hongyan Zhou; Daniel Paull; Lorraine Clark; Eric E Schadt; Sergio Pablo Sardi; Lee Rubin; Kevin Eggan; Mathew Brock; Scott Lipnick; Mahendra Rao; Stephen Chang; Aiqun Li; Scott A Noggle
Journal:  Cell Rep       Date:  2014-11-06       Impact factor: 9.423

3.  Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System.

Authors:  Michael K Conway; Michael J Gerger; Erin E Balay; Rachel O'Connell; Seth Hanson; Neil J Daily; Tetsuro Wakatsuki
Journal:  J Vis Exp       Date:  2015-05-14       Impact factor: 1.355

4.  Low incidence of DNA sequence variation in human induced pluripotent stem cells generated by nonintegrating plasmid expression.

Authors:  Linzhao Cheng; Nancy F Hansen; Ling Zhao; Yutao Du; Chunlin Zou; Frank X Donovan; Bin-Kuan Chou; Guangyu Zhou; Shijie Li; Sarah N Dowey; Zhaohui Ye; Settara C Chandrasekharappa; Huanming Yang; James C Mullikin; P Paul Liu
Journal:  Cell Stem Cell       Date:  2012-03-02       Impact factor: 24.633

Review 5.  Genetic and epigenetic variations in iPSCs: potential causes and implications for application.

Authors:  Gaoyang Liang; Yi Zhang
Journal:  Cell Stem Cell       Date:  2013-08-01       Impact factor: 24.633

6.  Erosion of dosage compensation impacts human iPSC disease modeling.

Authors:  Shila Mekhoubad; Christoph Bock; A Sophie de Boer; Evangelos Kiskinis; Alexander Meissner; Kevin Eggan
Journal:  Cell Stem Cell       Date:  2012-05-04       Impact factor: 24.633

7.  Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin.

Authors:  Iñigo Martincorena; Amit Roshan; Moritz Gerstung; Peter Ellis; Peter Van Loo; Stuart McLaren; David C Wedge; Anthony Fullam; Ludmil B Alexandrov; Jose M Tubio; Lucy Stebbings; Andrew Menzies; Sara Widaa; Michael R Stratton; Philip H Jones; Peter J Campbell
Journal:  Science       Date:  2015-05-22       Impact factor: 47.728

8.  Rapid and Efficient Generation of Transgene-Free iPSC from a Small Volume of Cryopreserved Blood.

Authors:  Hongyan Zhou; Hector Martinez; Bruce Sun; Aiqun Li; Matthew Zimmer; Nicholas Katsanis; Erica E Davis; Joanne Kurtzberg; Scott Lipnick; Scott Noggle; Mahendra Rao; Stephen Chang
Journal:  Stem Cell Rev Rep       Date:  2015-08       Impact factor: 5.739

9.  Direct cell reprogramming is a stochastic process amenable to acceleration.

Authors:  Jacob Hanna; Krishanu Saha; Bernardo Pando; Jeroen van Zon; Christopher J Lengner; Menno P Creyghton; Alexander van Oudenaarden; Rudolf Jaenisch
Journal:  Nature       Date:  2009-11-08       Impact factor: 49.962

10.  What is the point of large-scale collections of human induced pluripotent stem cells?

Authors:  Ruth McKernan; Fiona M Watt
Journal:  Nat Biotechnol       Date:  2013-10       Impact factor: 54.908

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  86 in total

Review 1.  iPSC-based drug screening for Huntington's disease.

Authors:  Ningzhe Zhang; Barbara J Bailus; Karen L Ring; Lisa M Ellerby
Journal:  Brain Res       Date:  2015-09-30       Impact factor: 3.252

2.  [Leukocyte count of puerperal sows].

Authors:  D Mäde; G Wujanz
Journal:  Berl Munch Tierarztl Wochenschr       Date:  1996-09       Impact factor: 0.328

3.  Generation of Xeno-Free, cGMP-Compliant Patient-Specific iPSCs from Skin Biopsy.

Authors:  Luke A Wiley; Kristin R Anfinson; Cathryn M Cranston; Emily E Kaalberg; Malia M Collins; Robert F Mullins; Edwin M Stone; Budd A Tucker
Journal:  Curr Protoc Stem Cell Biol       Date:  2017-08-14

4.  The silver lining of induced pluripotent stem cell variation.

Authors:  Valentina Fossati; Tanya Jain; Ana Sevilla
Journal:  Stem Cell Investig       Date:  2016-12-06

5.  Cell Line Macroarray: An Alternative High-Throughput Platform to Analyze hiPSC Lines.

Authors:  Alberto La Spada; Simona Baronchelli; Linda Ottoboni; Francesca Ruffini; Gianvito Martino; Nunzia Convertino; Aikaterini Ntai; Tobias Steiner; Ida Biunno; Andrea De Blasio
Journal:  J Histochem Cytochem       Date:  2016-10-26       Impact factor: 2.479

Review 6.  Stem cells technology: a powerful tool behind new brain treatments.

Authors:  Lucienne N Duru; Zhenzhen Quan; Talal Jamil Qazi; Hong Qing
Journal:  Drug Deliv Transl Res       Date:  2018-10       Impact factor: 4.617

Review 7.  Integrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems.

Authors:  Kristina Rehbach; Michael B Fernando; Kristen J Brennand
Journal:  J Neurosci       Date:  2020-02-05       Impact factor: 6.167

Review 8.  Raising the standards of stem cell line quality.

Authors:  Michael P Yaffe; Scott A Noggle; Susan L Solomon
Journal:  Nat Cell Biol       Date:  2016-03       Impact factor: 28.824

9.  Tracking and Predicting Human Somatic Cell Reprogramming Using Nuclear Characteristics.

Authors:  Kaivalya Molugu; Ty Harkness; Jared Carlson-Stevermer; Ryan Prestil; Nicole J Piscopo; Stephanie K Seymour; Gavin T Knight; Randolph S Ashton; Krishanu Saha
Journal:  Biophys J       Date:  2019-10-22       Impact factor: 4.033

Review 10.  Advances in Drug Discovery and Development in Geriatric Psychiatry.

Authors:  Alexander C Conley; Paul A Newhouse
Journal:  Curr Psychiatry Rep       Date:  2018-03-05       Impact factor: 5.285

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