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The hematopoietic stem cells or HSCs are multipotent, meaning they can differentiate and give rise to all blood and immune cells. HSCs are maintained in the quiescent stage until an external stimulus initiates their differentiation. The multipotent HSCs exist as two heterogeneous populations, long-term repopulating cells (LTRC) and short-term repopulating cells (STRC). The two HSC populations have different surface markers or receptors and are classified based on quiescence and long-term...
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Stem cells are undifferentiated cells that divide and produce more stem cells or progenitor cells that differentiate into mature, specialized cell types. All the cells in the body are generated from stem cells in the early embryo, but small populations of stem cells are also present in many adult tissues including the bone marrow, brain, skin, and gut. These adult stem cells typically produce the various cell types found in that tissue—to replace cells that are damaged or to continuously...
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Intelligent Integrative Platform for Sharing Heterogenuous Stem Cell Research Data.

Kirill Borziak1, Irena Parvanova1, Joseph Finkelstein1

  • 1Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Studies in Health Technology and Informatics
|November 19, 2021
PubMed
Summary
This summary is machine-generated.

A new informatics platform integrates diverse stem cell data, including induced pluripotent stem cells (iPSCs) and cancer stem cells, enabling new knowledge discovery. This approach harmonizes heterogeneous datasets for enhanced research capabilities.

Keywords:
Common data elementscancer stem cellsinduced pluripotent stem cells

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Area of Science:

  • Bioinformatics
  • Stem Cell Biology
  • Data Science

Background:

  • Comparative analysis of stem cell data across studies can yield novel insights and aid hypothesis generation.
  • A lack of effective frameworks hinders the integration of diverse, heterogeneous stem cell datasets into a unified project-based system.

Purpose of the Study:

  • To develop an intelligent informatics solution for integrating comprehensive stem cell characterizations with research subject and project outcome data.
  • To create the first platform capable of seamlessly integrating induced pluripotent stem cell (iPSC) and cancer stem cell research data.

Main Methods:

  • Implementation of a multi-modular common data element framework for data integration.
  • Validation of heterogeneous data using predefined ontologies and storage in a relational database for quality and accessibility.
  • Testing on 103 diverse, publicly available iPSC and cancer stem cell projects across clinical, preclinical, and in vitro settings.

Main Results:

  • Demonstrated the platform's robustness in seamlessly harmonizing diverse data elements from multiple stem cell research projects.
  • Validated the potential for knowledge generation through data aggregation and harmonization.
  • Successfully integrated iPSC and cancer stem cell data into a single, unified platform.

Conclusions:

  • The developed informatics platform offers a robust solution for integrating heterogeneous stem cell data, facilitating new knowledge discovery.
  • The platform's ability to harmonize diverse datasets enhances research capabilities and supports hypothesis generation in stem cell science.
  • Future work will expand the database using crowdsourcing and natural language processing to further enhance its utility.