OpenTein: a database of digital whole-slide images of stem cell-derived teratomas

Sung-Joon Park1, Yusuke Komiyama1, Hirofumi Suemori2

  • 1Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan.

Nucleic Acids Research
|October 27, 2015
PubMed

Insights

A new database, OpenTein, archives and shares high-resolution digital images of teratomas from human stem cells. This resource aims to improve consistency and accessibility in stem cell potency testing for regenerative medicine.

Area of Science:

  • Stem Cell Biology
  • Regenerative Medicine
  • Bioinformatics

Background:

  • Human stem cells hold significant promise for regenerative therapies.
  • Assessing stem cell differentiation potency is crucial for therapeutic safety.
  • Current teratoma assay methods for potency assessment lack standardization and public accessibility.

Purpose of the Study:

  • To develop a novel, publicly accessible database for teratoma images.
  • To improve the consistency and interpretation of stem cell potency assays.
  • To provide a valuable resource for the stem cell research community.

Main Methods:

  • Development of a web-based repository system named OpenTein (Open Teratoma Investigation).
  • Archiving and distribution of high-resolution whole-slide images of teratomas.
  • Implementation of searchable, zoomable, and annotatable functionalities for digital teratoma images.

Main Results:

  • OpenTein successfully archives and distributes 468 high-resolution teratoma images.
  • The database provides free access to digital teratoma images for public use.
  • The system demonstrates efficient processing of large gigapixel images, responding within 11.2 minutes for 2.03 gigapixel images.

Conclusions:

  • OpenTein offers a valuable, standardized resource for stem cell potency assessment.
  • The database facilitates community-based efforts to improve teratoma assay quality.
  • This initiative supports the advancement of stem cell biology and regenerative medicine through data sharing.

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