دورية أكاديمية

OSCI: standardized stem cell ontology representation and use cases for stem cell investigation

التفاصيل البيبلوغرافية
العنوان: OSCI: standardized stem cell ontology representation and use cases for stem cell investigation
المؤلفون: Yongqun He, William D. Duncan, Daniel J. Cooper, Jens Hansen, Ravi Iyengar, Edison Ong, Kendal Walker, Omar Tibi, Sam Smith, Lucas M. Serra, Jie Zheng, Sirarat Sarntivijai, Stephan Schürer, K. Sue O’Shea, Alexander D. Diehl
المصدر: BMC Bioinformatics, Vol 20, Iss S5, Pp 237-247 (2019)
بيانات النشر: BMC, 2019.
سنة النشر: 2019
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Biology (General)
مصطلحات موضوعية: Stem cell, Cell ontology, Cell line ontology, OSCI, iPSC, hPSC, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
الوصف: Abstract Background 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. Results To 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. Conclusions OSCI 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2105
Relation: http://link.springer.com/article/10.1186/s12859-019-2723-7; https://doaj.org/toc/1471-2105
DOI: 10.1186/s12859-019-2723-7
URL الوصول: https://doaj.org/article/17a11f05b62841618ea4c7ca553c05cf
رقم الأكسشن: edsdoj.17a11f05b62841618ea4c7ca553c05cf
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712105
DOI:10.1186/s12859-019-2723-7