Current Status and Perspectives in Stem Cell Research: The Concept of Normal Stem (NSC) and Cancer Stem Cell (CSC)

2017 ◽  
pp. 7-16
Author(s):  
Mirjana Pavlović ◽  
Ksenija Radotić
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Stem Cell Research ◽  
Current Status

Clinical perspectives of cancer stem cell research in radiation oncology

2013 ◽  
Vol 108 (3) ◽  
pp. 388-396 ◽  
Author(s):  
Rebecca Bütof ◽  
Anna Dubrovska ◽  
Michael Baumann
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Stem Cell Research ◽  
Radiation Oncology

Progress and prospects in cancer stem cell research for hepatocellular carcinoma

2009 ◽  
Vol 28 (9) ◽  
pp. 1004-1008 ◽  
Author(s):  
Wen Xu ◽  
Lu Cao ◽  
Zheng-Feng Yin
Keyword(s):  
Hepatocellular Carcinoma ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Stem Cell Research

An alginate-based platform for cancer stem cell research

2016 ◽  
Vol 37 ◽  
pp. 83-92 ◽  
Author(s):  
Shu-pei Qiao ◽  
Yu-fang Zhao ◽  
Chun-feng Li ◽  
Yan-bin Yin ◽  
Qing-yuan Meng ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Stem Cell Research

Looking ahead in cancer stem cell research

2009 ◽  
Vol 27 (1) ◽  
pp. 44-46 ◽  
Author(s):  
John E Dick
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Stem Cell Research

scholarly journals Intelligent Integrative Platform for Sharing Heterogenuous Stem Cell Research Data

2021 ◽  
Author(s):  
Kirill Borziak ◽  
Irena Parvanova ◽  
Joseph Finkelstein
Keyword(s):  
Stem Cell ◽  
Cancer Stem Cell ◽  
Language Processing ◽  
Stem Cell Research ◽  
Heterogeneous Data ◽  
Research Data ◽  
Data Sets ◽  
Ease Of Access ◽  
Data Elements

Recent studies demonstrated that comparative analysis of stem cell research data sets originating from multiple studies can produce new information and help with hypotheses generation. Effective approaches for incorporating multiple diverse heterogeneous data sets collected from stem cell projects into a harmonized project-based framework have been lacking. Here, we provide an intelligent informatics solution for integrating comprehensive characterizations of stem cells with research subject and project outcome information. Our platform is the first to seamlessly integrate information from iPSCs and cancer stem cell research into a single platform, using a multi-modular common data element framework. Heterogeneous data is validated using predefined ontologies and stored in a relational database, to ensure data quality and ease of access. Testing was performed using 103 published, publicly-available iPSC and cancer stem cell projects conducted in clinical, preclinical and in vitro evaluations. We validated the robustness of the platform, by seamlessly harmonizing diverse data elements, and demonstrated its potential for knowledge generation through the aggregation and harmonization of data. Future aims of this project include increasing the database size using crowdsourcing and natural language processing functionalities. The platform is publicly available at https://remedy.mssm.edu/.

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