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A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry

Identifieur interne : 000200 ( Main/Exploration ); précédent : 000199; suivant : 000201

A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry

Auteurs : Eli R. Zunder [États-Unis] ; Ernesto Lujan [États-Unis] ; Yury Goltsev [États-Unis] ; Marius Wernig [États-Unis] ; Garry P. Nolan [États-Unis]

Source :

RBID : PMC:4401090

Abstract

SUMMARY

To analyze cellular reprogramming at the single-cell level, mass cytometry was used to simultaneously measure markers of pluripotency, differentiation, cell-cycle status, and cellular signaling throughout the reprogramming process. Time-resolved progression analysis of the resulting data sets was used to construct a continuous molecular roadmap for three independent reprogramming systems. Although these systems varied substantially in Oct4, Sox2, Klf4, and c-Myc stoichiometry, they presented a common set of reprogramming landmarks. Early in the reprogramming process, Oct4highKlf4high cells transitioned to a CD73highCD104highCD54low partially reprogrammed state. Ki67low cells from this intermediate population reverted to a MEF-like phenotype, but Ki67high cells advanced through the M-E-T and then bifurcated into two distinct populations: an ESC-like NanoghighSox2highCD54high population and a mesendoderm-like NanoglowSox2lowLin28high CD24highPDGFR-αhigh population. The methods developed here for time-resolved, single-cell progression analysis may be used for the study of additional complex and dynamic systems, such as cancer progression and embryonic development.


Url:
DOI: 10.1016/j.stem.2015.01.015
PubMed: 25748935
PubMed Central: 4401090


Affiliations:


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<p id="P2">To analyze cellular reprogramming at the single-cell level, mass cytometry was used to simultaneously measure markers of pluripotency, differentiation, cell-cycle status, and cellular signaling throughout the reprogramming process. Time-resolved progression analysis of the resulting data sets was used to construct a continuous molecular roadmap for three independent reprogramming systems. Although these systems varied substantially in Oct4, Sox2, Klf4, and c-Myc stoichiometry, they presented a common set of reprogramming landmarks. Early in the reprogramming process, Oct4
<sup>high</sup>
Klf4
<sup>high</sup>
cells transitioned to a CD73
<sup>high</sup>
CD104
<sup>high</sup>
CD54
<sup>low</sup>
partially reprogrammed state. Ki67
<sup>low</sup>
cells from this intermediate population reverted to a MEF-like phenotype, but Ki67
<sup>high</sup>
cells advanced through the M-E-T and then bifurcated into two distinct populations: an ESC-like Nanog
<sup>high</sup>
Sox2
<sup>high</sup>
CD54
<sup>high</sup>
population and a mesendoderm-like Nanog
<sup>low</sup>
Sox2
<sup>low</sup>
Lin28
<sup>high</sup>
CD24
<sup>high</sup>
PDGFR-α
<sup>high</sup>
population. The methods developed here for time-resolved, single-cell progression analysis may be used for the study of additional complex and dynamic systems, such as cancer progression and embryonic development.</p>
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