Reproducibility of Molecular Phenotypes after Long-Term Differentiation to Human iPSC-Derived Neurons: A Multi-Site Omics Study.

V, Volpato; J, Smith; C, Sandor; JS, Ried; A, Baud; A, Handel; SE, Newey; F, Wessely; M, Attar; E, Whiteley; S, Chintawar; A, Verheyen; T, Barta; M, Lako; L, Armstrong; C, Muschet; A, Artati; C, Cusulin; K, Christensen; C, Patsch; E, Sharma; J, Nicod; P, Brownjohn; V, Stubbs; WE, Heywood; P, Gissen; Filippis R, De; K, Janssen; P, Reinhardt; J, Adamski; I, Royaux; PJ, Peeters; GC, Terstappen; M, Graf; FJ, Livesey; CJ, Akerman; K, Mills; R, Bowden; G, Nicholson; C, Webber; MZ, Cader; V, Lakics

doi:10.1016/j.stemcr.2018.08.013

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Reproducibility of Molecular Phenotypes after Long-Term Differentiation to Human iPSC-Derived Neurons: A Multi-Site Omics Study.

Shared by NobleBlocks on Sep 20, 2018 • 12:00 AM UTC

Authors:

Volpato V

Smith J

Sandor C

Abstract

Reproducibility in molecular and cellular studies is fundamental to scientific discovery. To establish the reproducibility of a well-defined long-term neuronal differentiation protocol, we repeated the cellular and molecular comparison of the same two iPSC lines across five distinct laboratories. De...

Subject

Reproducibility

Gene expression profile

Cortical neurons

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