Back to Search Start Over

Kinetic Measurement and Real Time Visualization of Somatic Reprogramming.

Authors :
Quintanilla RH Jr
Asprer J
Sylakowski K
Lakshmipathy U
Source :
Journal of visualized experiments : JoVE [J Vis Exp] 2016 Jul 30 (113). Date of Electronic Publication: 2016 Jul 30.
Publication Year :
2016

Abstract

Somatic reprogramming has enabled the conversion of adult cells to induced pluripotent stem cells (iPSC) from diverse genetic backgrounds and disease phenotypes. Recent advances have identified more efficient and safe methods for introduction of reprogramming factors. However, there are few tools to monitor and track the progression of reprogramming. Current methods for monitoring reprogramming rely on the qualitative inspection of morphology or staining with stem cell-specific dyes and antibodies. Tools to dissect the progression of iPSC generation can help better understand the process under different conditions from diverse cell sources. This study presents key approaches for kinetic measurement of reprogramming progression using flow cytometry as well as real-time monitoring via imaging. To measure the kinetics of reprogramming, flow analysis was performed at discrete time points using antibodies against positive and negative pluripotent stem cell markers. The combination of real-time visualization and flow analysis enables the quantitative study of reprogramming at different stages and provides a more accurate comparison of different systems and methods. Real-time, image-based analysis was used for the continuous monitoring of fibroblasts as they are reprogrammed in a feeder-free medium system. The kinetics of colony formation was measured based on confluence in the phase contrast or fluorescence channels after staining with live alkaline phosphatase dye or antibodies against SSEA4 or TRA-1-60. The results indicated that measurement of confluence provides semi-quantitative metrics to monitor the progression of reprogramming.

Details

Language :
English
ISSN :
1940-087X
Issue :
113
Database :
MEDLINE
Journal :
Journal of visualized experiments : JoVE
Publication Type :
Academic Journal
Accession number :
27500543
Full Text :
https://doi.org/10.3791/54190