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Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
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Single-cell pluripotency regulatory networks.

Patrick S Stumpf1,2, Rob Ewing2,3, Ben D MacArthur4,5,6

  • 1Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton, UK.

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|July 1, 2016
PubMed
Summary
This summary is machine-generated.

Researchers are reconstructing regulatory networks in individual pluripotent stem cells (PSCs) to understand pluripotency. This approach reveals cell-to-cell variability and offers new ways to control stem cell behavior for regenerative medicine.

Keywords:
Cell biologyCell-to-cell variabilityCellular reprogrammingControllability of complex networksPluripotencySingle-cell networks

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Area of Science:

  • Stem cell biology
  • Developmental biology
  • Systems biology

Background:

  • Pluripotent stem cells (PSCs) are crucial for development and regenerative medicine.
  • Existing knowledge of PSC regulatory networks is limited, especially regarding spatiotemporal integration and cell-to-cell variability.
  • Population-level measurements obscure the fine details of these complex regulatory networks.

Purpose of the Study:

  • To reconstruct regulatory networks within individual PSCs.
  • To elucidate the molecular basis of pluripotency by analyzing single-cell data.
  • To understand the role of cell-cell variability and control mechanisms in PSC behavior.

Main Methods:

  • Utilizing novel single-cell transcriptomics.
  • Employing single-cell proteomics.
  • Reconstructing regulatory networks at the single-cell level.

Main Results:

  • Detailed reconstruction of regulatory networks in individual PSCs.
  • Identification of cell-to-cell variability within PSC populations.
  • Insights into the molecular mechanisms governing pluripotency.

Conclusions:

  • Single-cell approaches are essential for understanding the complexity of PSC regulatory networks.
  • Analyzing cell-to-cell variability provides a deeper understanding of pluripotency.
  • This research paves the way for reliable manipulation of stem cell behavior.