Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cell Lines01:16

Cell Lines

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...
What is Cancer?02:12

What is Cancer?

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.
Although people have known about cancer for centuries, it was only in 1761 that Giovanni Morgagni of Padua performed a detailed autopsy of patients who died from...
Embryonic Stem Cells00:57

Embryonic Stem Cells

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.
ES cells are grown in a culture medium where they can divide indefinitely, creating ES cell lines. Under certain conditions, ES cells can differentiate, either spontaneously into a variety of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CVD-grown tunable carbon films for high-performance sodium storage.

Energy & environmental science·2026
Same author

Towards an ecosystem of clinical decision support tools for precision cancer medicine.

NPJ precision oncology·2026
Same author

European cancer data sharing: Analyses of an international survey.

International journal of medical informatics·2026
Same author

Unconventional activation of the proto-oncogene FGFR1 by extracellular phosphate via H<sub>2</sub>O<sub>2</sub>-mediated kinase oxidation.

Cell reports·2026
Same author

Proteomic Profiling Using a Proximity Extension Assay Panel on Serum Samples Stored at -25°C Over Several Decades.

Proteomics·2026
Same author

Systematic interrogation of drug sensitivities in melanoma reveals potent synergistic and antagonistic drug combinations with translational potential.

Communications medicine·2026

Related Experiment Video

Updated: May 15, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

CellLineMiner: a knowledge portal for human cell lines.

Sigve Nakken1, Morten Johansen, Julien Fillebeen

  • 1Department of Tumor Biology, Institute for Cancer Research, Norwegian Radium Hospital - Oslo University Hospital, Norway.

Bioinformation
|December 20, 2012
PubMed
Summary

CellLineMiner is a new web database that uses text mining to organize information on human cell lines. It helps researchers easily find literature associations for cell line models in biomedical research.

More Related Videos

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research
07:47

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research

Published on: December 25, 2021

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array
07:19

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Related Experiment Videos

Last Updated: May 15, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research
07:47

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research

Published on: December 25, 2021

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array
07:19

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Area of Science:

  • Biomedical Research
  • Cell Biology
  • Bioinformatics

Background:

  • Immortalized cell lines are crucial for experimental models of human tissues and diseases, including cancer.
  • Vast knowledge on cell lines is unstructured, existing as free text in scientific literature.
  • Existing resources lack a comprehensive, easily searchable database for cell line information.

Purpose of the Study:

  • To develop a novel text mining-based web database, CellLineMiner.
  • To provide a comprehensive and structured view of human cell line knowledge.
  • To facilitate easier access to literature associations for cell line models.

Main Methods:

  • Utilized text mining techniques to extract information from scientific literature.
  • Developed a web database to index and present human cell line data.
  • Implemented a search functionality for quick retrieval of literature associations.

Main Results:

  • CellLineMiner offers a centralized repository of human cell line knowledge.
  • The database provides rapid display of literature associations for searched cell lines.
  • Successfully indexed and organized a significant body of unstructured cell line information.

Conclusions:

  • CellLineMiner serves as a valuable knowledge resource for biomedical researchers.
  • The database enhances the utility of cell line model systems in research.
  • Facilitates a more efficient and comprehensive understanding of cell line applications.