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Updated: Jun 11, 2025
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Establishment of Genome-edited Human Pluripotent Stem Cell Lines: From Targeting to Isolation
Published on: February 2, 2016
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Guidelines for managing and using the digital phenotypes of pluripotent stem cell lines
Christine A Wells1, Anke Guhr2, Amos Bairoch3
1Stem Cell Systems, Department of Anatomy and Physiology, Medical, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC 3010, Australia.
Stem Cell Reports
|September 27, 2024
Summary
Stem cell line registration provides unique identifiers, linking physical cells to their digital phenotypes. This improves data consistency and supports the development of comprehensive digital profiles for human pluripotent stem cell (hPSC) lines.
Area of Science:
- Stem Cell Biology
- Bioinformatics
- Data Management
Background:
- Pluripotent stem cell lines possess both physical and digital characteristics.
- Current naming conventions and implicit knowledge hinder unambiguous linking of these entities.
- Establishing clear links is crucial for reproducible stem cell research.
Purpose of the Study:
- To explore how community adoption of stem cell line registration can create integrated digital phenotypes.
- To address challenges in linking physical stem cell entities with their digital data.
- To align with the 2023 ISSCR Standards for human stem cell research.
Main Methods:
- Conceptual framework for stem cell line registration.
- Discussion of current limitations in data linkage.
- Analysis of the potential benefits of unique identifiers.
Main Results:
- Registration assigns unique, persistent identifiers to stem cell lines.
- These identifiers link to phenotypic data collected throughout a line's lifecycle.
- Facilitates the creation of comprehensive digital phenotypes for specific hPSC lines.
Conclusions:
- Stem cell line registration is essential for unambiguous data association.
- Widespread adoption can lead to standardized and integrated digital phenotypes.
- This practice supports the advancement of human pluripotent stem cell research.
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