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Characterization of a human pluripotent stem cell-derived model of neuronal development using multiplexed targeted proteomics.

Authors :
Dunkley T
Costa V
Friedlein A
Lugert S
Aigner S
Ebeling M
Miller MT
Patsch C
Piraino P
Cutler P
Jagasia R
Source :
Proteomics. Clinical applications [Proteomics Clin Appl] 2015 Aug; Vol. 9 (7-8), pp. 684-94. Date of Electronic Publication: 2015 May 26.
Publication Year :
2015

Abstract

Purpose: Human pluripotent stem cell (hPSC)-derived cellular models have great potential to enable drug discovery and improve translation of preclinical insights to the clinic. We have developed a hPSC-derived neural precursor cell model for studying early events in human brain development. We present protein-level characterization of this model, using a multiplexed SRM approach, to establish reproducibility and physiological relevance; essential prerequisites for utilization of the neuronal development model in phenotypic screening-based drug discovery.<br />Experimental Design: Profiles of 246 proteins across three key stages of in vitro neuron differentiation were analyzed by SRM. Three independently hPSC-derived isogenic neural stem cell (NSC) lines were analyzed across five to nine independent neuronal differentiations.<br />Results: One hundred seventy-five proteins were reliably quantified revealing a time-dependent pattern of protein regulation that reflected protein dynamics during in vivo brain development and that was conserved across replicate differentiations and multiple cell lines.<br />Conclusions and Clinical Relevance: SRM-based protein profiling enabled establishment of the reproducibility and physiological relevance of the hPSC-derived neuronal model. Combined with the successful quantification of proteins relevant to neurodevelopmental diseases, this validates the platform for use as a model to enable neuroscience drug discovery.<br /> (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Details

Language :
English
ISSN :
1862-8354
Volume :
9
Issue :
7-8
Database :
MEDLINE
Journal :
Proteomics. Clinical applications
Publication Type :
Academic Journal
Accession number :
25684324
Full Text :
https://doi.org/10.1002/prca.201400150