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Cell Lines01:16

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A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...
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Cells and tissues must meticulously coordinate their activities for the normal functioning of the human body. Therefore, they exhibit socially responsible behavior - resting, growing, dividing, differentiating, or dying - for the organism’s benefit. Cancer arises when cells divide uncontrollably and invade other tissues or organs.
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CLO: The cell line ontology.

Sirarat Sarntivijai1, Yu Lin2, Zuoshuang Xiang2

  • 1US Food and Drug Administration, Silver Spring, MD, USA ; University of Michigan, Ann Arbor, MI, USA.

Journal of Biomedical Semantics
|April 9, 2015
PubMed
Summary
This summary is machine-generated.

The Cell Line Ontology (CLO) has been updated with new cell lines and improved structure, enhancing its utility in biomedical research and data analysis. This ontology now supports advanced inferencing for translational informatics.

Keywords:
AnatomyCell lineCell line cellCell line cell culturingImmortal cell line cellMortal cell line cell

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Area of Science:

  • Biomedical Informatics
  • Ontology Development
  • Cell Biology

Background:

  • Cell lines are crucial in biomedical research.
  • The Cell Line Ontology (CLO) is a community-driven resource within the OBO Foundry.
  • Recent updates include consortium expansion, new cell line additions, and alignment with related ontologies.

Purpose of the Study:

  • To detail significant updates and improvements to the Cell Line Ontology (CLO).
  • To establish consensus definitions for key cell line-related terms through collaboration.
  • To enhance the hierarchical structure and content of the CLO for better usability.

Main Methods:

  • Collaborative development and consensus building for term definitions.
  • Hierarchical structuring based on existing ontologies like Cell Ontology (CL) and UBERON.
  • Integration of new cell line data, including over 2,000 classes from RIKEN BRC Cell Bank.

Main Results:

  • Consensus definitions for terms like 'cell line' and 'mortal vs. immortal cell line cell'.
  • A refined hierarchical structure facilitating browsing, querying, and automated classification.
  • Expansion of CLO to approximately 38,000 classes from over 200 in vivo cell types.

Conclusions:

  • The updated CLO has been applied in studies annotating EBI ArrayExpress data, bioassays, and host-pathogen interactions.
  • CLO's utility extends beyond a simple catalog, enabling sophisticated inferencing.
  • Alignment with other ontologies and use of reasoners will advance translational informatics.