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Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
Published on: July 30, 2016
An integrative analysis of reprogramming in human isogenic system identified a clone selection criterion
Maria V Shutova1, Anastasia V Surdina1, Dmitry S Ischenko2,3
1a Vavilov Institute of General Genetics, Russian Academy of Sciences , Moscow , Russia.
Human induced pluripotent stem cells (iPSCs) molecular signatures are highly stochastic, showing little trace of their parental cell type or reprogramming method. A small set of genes can identify the best iPSC lines for research.
Area of Science:
- Stem cell biology
- Epigenetics
- Genomics
Background:
- Human induced pluripotent stem cells (iPSCs) are typically assessed by physiological pluripotency markers.
- Molecular comparisons between iPSCs and embryonic stem cells (ESCs) often reveal distinct gene expression and methylation patterns.
- Understanding factors influencing iPSC molecular signatures is crucial for their reliable application.
Purpose of the Study:
- To investigate the influence of reprogramming process, parental cell type, and stochasticity on human iPSC molecular signatures.
- To establish an isogenic system for comprehensive molecular comparison of iPSCs and ESCs.
- To develop criteria for selecting optimal iPSC lines for research.
Main Methods:
- Development of a complete isogenic reprogramming system.
- Genome-wide transcriptome and methylome analysis.
- Comparison of human isogenic ESCs, ESC-derived somatic cells, and derived iPSC lines.
Main Results:
- iPSC molecular signatures are largely determined by stochasticity, independent of parental cell type or reprogramming method.
- Five iPSC clones are sufficient to achieve 95% confidence in finding a clone indistinguishable from isogenic ESCs.
- A method for selecting the "best" iPSC line based on a core set of characteristic genes was developed and validated.
Conclusions:
- The molecular identity of human iPSCs is primarily shaped by random events rather than the reprogramming process or cell origin.
- Isogenic systems are valuable for dissecting molecular variations in iPSCs.
- A robust method for selecting high-quality iPSC lines can improve their utility in regenerative medicine and disease modeling.
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