Abstract

BackgroundStem cells and stem cell lines are widely used in biomedical research. The Cell Ontology (CL) and Cell Line Ontology (CLO) are two community-based OBO Foundry ontologies in the domains of in vivo cells and in vitro cell line cells, respectively.ResultsTo support standardized stem cell investigations, we have developed an Ontology for Stem Cell Investigations (OSCI). OSCI imports stem cell and cell line terms from CL and CLO, and investigation-related terms from existing ontologies. A novel focus of OSCI is its application in representing metadata types associated with various stem cell investigations. We also applied OSCI to systematically categorize experimental variables in an induced pluripotent stem cell line cell study related to bipolar disorder. In addition, we used a semi-automated literature mining approach to identify over 200 stem cell gene markers. The relations between these genes and stem cells are modeled and represented in OSCI.ConclusionsOSCI standardizes stem cells found in vivo and in vitro and in various stem cell investigation processes and entities. The presented use cases demonstrate the utility of OSCI in iPSC studies and literature mining related to bipolar disorder.

Highlights

  • Stem cells and stem cell lines are widely used in biomedical research

  • The Library of Integrated Network-based Cellular Signatures (LINCS) project [1] has a total of 38 induced pluripotent stem cell types, embryonic stem cell lines, and neural stem cell lines differentiated from iPSC

  • Modeling stem cells using Cell Ontology (CL), Cell Line Ontology (CLO), and Ontology for Stem Cell Investigations (OSCI) OSCI is developed as an application ontology to support the collaborative and standardized representation, integration, and analysis of various stem cells in vivo and in vitro

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Summary

Introduction

Stem cells and stem cell lines are widely used in biomedical research. The Cell Ontology (CL) and Cell Line Ontology (CLO) are two community-based OBO Foundry ontologies in the domains of in vivo cells and in vitro cell line cells, respectively. There are many resources to support stem cell research. The Library of Integrated Network-based Cellular Signatures (LINCS) project [1] has a total of 38 induced pluripotent stem cell (iPSC) types, embryonic stem cell lines, and neural stem cell lines differentiated from iPSC. Initiated by the Harvard Stem Cell Institute, the Stem Cell Commons resource (http://stemcellcommons.org/) is an Ontology plays a crucial role in data sharing, integration, and analysis by providing standardized metadata and knowledge representation. Ontology supports minimal information standards by providing formal semantics for the data elements, experimental variables, and workflow in experimental studies. Ontologies can be used to coordinate biomedical investigations as a

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