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Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses.


ABSTRACT: BACKGROUND:Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines. The community-based Cell Line Ontology (CLO) is selected as the default ontology for LINCS cell line representation and integration. RESULTS:CLO has consistently represented all 1097 LINCS cell lines and included information extracted from the LINCS Data Portal and ChEMBL. Using MCF 10A cell line cells as an example, we demonstrated how to ontologically model LINCS cellular signatures such as their non-tumorigenic epithelial cell type, three-dimensional growth, latrunculin-A-induced actin depolymerization and apoptosis, and cell line transfection. A CLO subset view of LINCS cell lines, named LINCS-CLOview, was generated to support systematic LINCS cell line analysis and queries. In summary, LINCS cell lines are currently associated with 43 cell types, 131 tissues and organs, and 121 cancer types. The LINCS-CLO view information can be queried using SPARQL scripts. CONCLUSIONS:CLO was used to support ontological representation, integration, and analysis of over a thousand LINCS cell line cells and their cellular responses.

SUBMITTER: Ong E 

PROVIDER: S-EPMC5763302 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses.

Ong Edison E   Xie Jiangan J   Ni Zhaohui Z   Liu Qingping Q   Sarntivijai Sirarat S   Lin Yu Y   Cooper Daniel D   Terryn Raymond R   Stathias Vasileios V   Chung Caty C   Schürer Stephan S   He Yongqun Y  

BMC bioinformatics 20171221 Suppl 17


<h4>Background</h4>Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines. The community-based Cell Line Ontology (CLO) is selected as the default ontology for LINCS cell line representation and integration.<h4>Results</h4>CLO has consistently represented all 1097 LINCS cell lines and included information extracte  ...[more]

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