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Related Concept Videos

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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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Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
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Stem cells are undifferentiated cells that divide and produce different cell types. Ordinarily, cells that have differentiated into a specific cell type are terminally differentiated; however, scientists have found a way to reprogram these mature cells so that they dedifferentiate and return to an unspecialized, proliferative state. These cells are pluripotent like embryonic stem cells—able to produce all cell types—and are called induced pluripotent stem cells (iPSCs).
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Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...
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Embryonic Stem Cells00:57

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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 ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.
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How FAIR is metadata for human pluripotent stem cells?

Mengqi Hu1, Rachel A Ankeny2, Dan Santos3

  • 1Stem Cell Systems, The Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC 3010, Australia.

Stem Cell Reports
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

Effective management of human pluripotent stem cell (hPSC) data requires coordinated infrastructure. Applying FAIR data principles reveals inconsistencies hindering global information sharing and data reuse.

Keywords:
computational stem cell biologyknowledge basestem cell governancestem cell provenance

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Area of Science:

  • Biomedical Research
  • Data Science
  • Bioinformatics

Background:

  • Stem cell research has rapidly expanded globally.
  • Effective management of stem cell line information and data resources is crucial.
  • Existing data infrastructure requires evaluation for coordination and information sharing.

Purpose of the Study:

  • To assess the maturity of stem cell research data management using FAIR data principles.
  • To evaluate the quality of information describing human pluripotent stem cells (hPSCs) in dedicated data infrastructure.
  • To identify barriers to effective information sharing and data reuse in the field.

Main Methods:

  • Application of FAIR data principles (Findable, Accessible, Interoperable, Reusable).
  • Systematic evaluation of data infrastructure for human pluripotent stem cells (hPSCs).
  • Case studies from Australia, the United States, Japan, and Europe.

Main Results:

  • Lack of coordination across jurisdictions identified.
  • Absence of persistent digital identifiers and inconsistent data standards noted.
  • Restrictive sharing policies hinder effective information sharing.

Conclusions:

  • National infrastructure is needed for comprehensive cell line cataloging.
  • Improving metadata standardization and cross-platform coordination is essential.
  • Enhanced data reuse and strengthened local resources depend on better data management practices.