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Commitment is the  process whereby stem cells:
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Stem cell research aims to find ways to use stem cells to regenerate and repair cellular damage. Over time, most adult cells undergo the wear and tear of aging and lose their ability to divide and repair themselves. Stem cells do not display a particular morphology or function. Adult stem cells, which exist as a small subset of cells in most tissues, keep dividing and can differentiate into a number of specialized cells generally formed by that tissue. These cells enable the body to renew and...
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Embryonic stem (ES) cells were first discovered in mice in 1981 by Martin Evans. In 1998, James Thomson identified a method to isolate embryonic stem cells from humans. Human embryonic stem cells (hESCs) are obtained from 3-5 day old embryos that remain unused after an in vitro fertilization procedure.
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The cells of the blastocyst inner cell mass only remain pluripotent for a short time. This state of pluripotency and self-renewal can be maintained in embryonic stem (ES) cell culture by adding specific chemicals or growth factors to ensure the cells can continue dividing and later differentiate into different cell types. In some cases, the cells are grown on a feeder layer of differentiated cells, which provides the growth factors and extracellular matrix components necessary for stem cell...
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All blood and immune cells are produced from the multipotent hematopoietic stem cells (HSCs) by the process of hematopoiesis. However, they all have a limited life span. In addition, many are depleted in immune surveillance or combatting an injury or infection. This makes blood one of the most regenerative tissues. Hematopoiesis helps replenish these blood and immune cells, restoring the body's normal functioning. However, overproduction of blood and immune cells can make them cancerous or...
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Computational Stem Cell Biology: Open Questions and Guiding Principles.

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Computational biology accelerates stem cell research for disease modeling and regenerative medicine. Key applications include cell typing, lineage tracing, and regulatory network analysis for future advancements.

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Area of Science:

  • Computational biology
  • Stem cell biology

Background:

  • Computational biology is revolutionizing stem cell research.
  • Applications include disease modeling, regenerative medicine, and drug discovery.

Purpose of the Study:

  • To highlight computational biology's role in stem cell research.
  • To discuss key applications and guiding principles.
  • To identify challenges and inspire future research.

Main Methods:

  • Review of computational biology applications in stem cell research.
  • Discussion of cell typing, lineage tracing, trajectory inference, and regulatory networks.
  • Articulation of guiding principles in computational biology.

Main Results:

  • Computational biology significantly enhances understanding and application of stem cells.
  • Specific computational methods are crucial for advancing stem cell research.
  • Identified challenges require attention for future progress.

Conclusions:

  • Computational biology is essential for the future of stem cell research.
  • Renewed focus on core principles is needed.
  • Encouraging further participation in this interdisciplinary field.