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Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
Published on: July 30, 2016
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A continuous molecular roadmap to iPSC reprogramming through progression analysis of single-cell mass cytometry
Eli R Zunder1, Ernesto Lujan2, Yury Goltsev1
1Department of Microbiology and Immunology, Baxter Laboratory for Stem Cell Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Cell Stem Cell
|March 10, 2015
Summary
Mass cytometry revealed a common roadmap for cellular reprogramming across different systems. This analysis identified key cellular states and bifurcations during the dynamic process of cell reprogramming.
Area of Science:
- Cell Biology
- Biotechnology
- Genomics
Background:
- Cellular reprogramming is crucial for regenerative medicine and understanding development.
- Existing methods lack the resolution to capture dynamic transitions during reprogramming.
- Simultaneous multi-parametric analysis at the single-cell level is needed.
Purpose of the Study:
- To develop and apply time-resolved single-cell analysis for mapping cellular reprogramming.
- To identify common molecular landmarks and distinct cell fate trajectories during reprogramming.
- To establish a continuous molecular roadmap of the reprogramming process.
Main Methods:
- Utilized mass cytometry to simultaneously measure pluripotency, differentiation, cell-cycle, and signaling markers.
- Performed time-resolved progression analysis on single-cell data from three independent reprogramming systems.
- Constructed a continuous molecular roadmap illustrating cellular transitions.
Main Results:
- Identified a common set of reprogramming landmarks despite variations in transcription factor stoichiometry.
- Observed a transition from Oct4(high)Klf4(high) cells to a partially reprogrammed CD73(high)CD104(high)CD54(low) state.
- Discovered that Ki67(high) cells bifurcate into either an ESC-like or a mesendoderm-like population.
Conclusions:
- The developed methods enable detailed study of dynamic cellular processes.
- The identified roadmap provides insights into the fundamental mechanisms of cellular reprogramming.
- This approach is applicable to studying other complex biological systems like cancer and development.

