Evidence map›Paper›PMID 25852852›Full record

ArticleJournal of biomedical semantics2014

CLO: The cell line ontology.

Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Terrence F Meehan, Alexander D Diehl, Uma D Vempati, Stephan C Schürer, Chao Pang, James Malone, Helen Parkinson and 15 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Tissue specificity of in vitro drug sensitivity.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
  2. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
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  12. A fourfold pathogen reference ontology suite.Journal of biomedical semantics · 2025
    Article
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  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Sirarat SarntivijaiUS Food and Drug Administration, Silver Spring, MD, USA ; University of Michigan, Ann Arbor, MI, USA.
Yu LinUniversity of Michigan, Ann Arbor, MI, USA.
Zuoshuang XiangUniversity of Michigan, Ann Arbor, MI, USA.
Terrence F MeehanEuropean Molecular Biology Laboratory, (EMBL-EBI), Hinxton, UK.
Alexander D DiehlUniversity at Buffalo, Buffalo, NY, USA.
Uma D VempatiUniversity of Miami, Miami, FL, USA.
Stephan C SchürerUniversity of Miami, Miami, FL, USA.
Chao PangUniversity Medical Center Groningen, Groningen, Netherlands.
James MaloneEuropean Molecular Biology Laboratory, (EMBL-EBI), Hinxton, UK.
Helen ParkinsonEuropean Molecular Biology Laboratory, (EMBL-EBI), Hinxton, UK.
Yue LiuUniversity of Michigan, Ann Arbor, MI, USA.
Terue TakatsukiRIKEN BioResource Center, Tsukuba, Japan.
Kaoru SaijoRIKEN BioResource Center, Tsukuba, Japan.
Hiroshi MasuyaRIKEN BioResource Center, Tsukuba, Japan.
Yukio NakamuraRIKEN BioResource Center, Tsukuba, Japan.
Matthew H BrushOregon Health & Science University, Portland, USA.
Melissa A HaendelOregon Health & Science University, Portland, USA.
Jie ZhengUniversity of Pennsylvania, Philadelphia, USA.
Christian J StoeckertUniversity of Pennsylvania, Philadelphia, USA.
Bjoern PetersLa Jolla Institute for Allergy & Immunology, La Jolla, CA, USA.
Christopher J MungallLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Thomas E CareyUniversity of Michigan, Ann Arbor, MI, USA.
David J StatesOncProTech LLC, Ann Arbor, MI, USA.
Brian D AtheyUniversity of Michigan, Ann Arbor, MI, USA.
Yongqun HeUniversity of Michigan, Ann Arbor, MI, USA.

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
NIH HHS R24 OD011883
6 · The paper itself

Abstract

backgroundCell lines have been widely used in biomedical research. The community-based Cell Line Ontology (CLO) is a member of the OBO Foundry library that covers the domain of cell lines. Since its publication two years ago, significant updates have been made, including new groups joining the CLO consortium, new cell line cells, upper level alignment with the Cell Ontology (CL) and the Ontology for Biomedical Investigation, and logical extensions. CONSTRUCTION AND CONTENT: Collaboration among the CLO, CL, and OBI has established consensus definitions of cell line-specific terms such as 'cell line', 'cell line cell', 'cell line culturing', and 'mortal' vs. 'immortal cell line cell'. A cell line is a genetically stable cultured cell population that contains individual cell line cells. The hierarchical structure of the CLO is built based on the hierarchy of the in vivo cell types defined in CL and tissue types (from which cell line cells are derived) defined in the UBERON cross-species anatomy ontology. The new hierarchical structure makes it easier to browse, query, and perform automated classification. We have recently added classes representing more than 2,000 cell line cells from the RIKEN BRC Cell Bank to CLO. Overall, the CLO now contains ~38,000 classes of specific cell line cells derived from over 200 in vivo cell types from various organisms. UTILITY AND DISCUSSION: The CLO has been applied to different biomedical research studies. Example case studies include annotation and analysis of EBI ArrayExpress data, bioassays, and host-vaccine/pathogen interaction. CLO's utility goes beyond a catalogue of cell line types. The alignment of the CLO with related ontologies combined with the use of ontological reasoners will support sophisticated inferencing to advance translational informatics development.

Indexed as

AnatomyCell lineCell line cellCell line cell culturingImmortal cell line cellMortal cell line cell

Identifiers

PMID25852852
PMCPMC4387853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.