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Optimized surface markers for the prospective isolation of high-quality hiPSCs using flow cytometry selection
Ramzey Abujarour1, Bahram Valamehr, Megan Robinson
1Fate Therapeutics Inc., 3535 General Atomics Court Suite 200, San Diego, CA 92121, USA.
Scientific Reports
|February 5, 2013
Summary
This study introduces an improved method for isolating high-quality human induced pluripotent stem cells (hiPSCs) using flow cytometry and CD30 marker. This enhances efficiency and automation in hiPSC derivation for research applications.
Area of Science:
- Stem Cell Biology
- Cellular Reprogramming
- Biotechnology
Background:
- Human induced pluripotent stem cell (hiPSC) derivation and selection are inefficient.
- Current methods require extensive characterization, limiting high-throughput (HTP) approaches.
- Previous work enhanced hiPSC survival and HTP derivation using small molecules and flow cytometry.
Purpose of the Study:
- To develop an enhanced protocol for efficient and automated isolation of bona fide hiPSCs.
- To optimize cell surface marker combinations for fluorescence-activated cell sorting (FACS)-based selection.
- To identify pivotal markers for hiPSC identification during reprogramming.
Main Methods:
- Utilized a cocktail of small molecules to improve hiPSC survival and stability in single-cell culture.
- Employed flow cytometry cell sorting for HTP-derivation of hiPSCs.
- Optimized a combination of cell surface markers, including CD30, SSEA4, and TRA-1-81, for FACS selection.
Main Results:
- Depletion of CD30-positive cells nearly abolished NANOG and OCT4 positive subpopulations, indicating CD30 as a key marker for pluripotency.
- Combining CD30 with SSEA4 and TRA-1-81 in FACS significantly enhanced the specificity and efficiency of hiPSC selection.
- The developed method enables efficient, automated, and prospective isolation of high-quality hiPSCs.
Conclusions:
- The optimized FACS-based selection protocol using CD30, SSEA4, and TRA-1-81 significantly improves hiPSC isolation efficiency and specificity.
- This method facilitates automated, high-throughput derivation of bona fide hiPSCs.
- The findings provide a robust tool for advancing stem cell research and regenerative medicine applications.

