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MOTHER OSF (Open Science Framework) data repository

The MOTHER project uses OSF to share resources to encourage discovery and reuse. The OSF component, Zelinski Lab: Macaque Ovary Tissue Histology shares the histology slides for 3 species of macaque: Cynomolgus, Japanese, and Rhesus. These datasets are linked to the ASU Library Research Data Repository.

“Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)”, ASU Library Research Data Repository

  • Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Cynomolgus Macaque Ovary”, https://doi.org/10.48349/ASU/BUAU3E, ASU Library Research Data Repository
  • Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Japanese Macaque Ovary”, https://doi.org/10.48349/ASU/KM2QZQ, ASU Library Research Data Repository
  • Multispecies Ovary Tissue Histology Electronic Repository (MOTHER), 2022, “Zelinski Lab: Rhesus Macaque Ovary”, https://doi.org/10.48349/ASU/46JWEX, ASU Library Research Data Reposito

MOTHER protocols

  • Ding, Y., Shah, G., Ma, W., Chu, T.-Y., Zelinski, M. B. & Watanabe, K. H. Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) Slide Scanning Protocol.  (2024). https://doi.org/10.5281/zenodo.10636869.
  • Image Analysis and Data Segmentation protocols: Preliminary versions

MOTHER training videos

Ovarian Follicle ID training (mp4 movie)

Reproductive Science Intro (mp4 movie)

MOTHER GitHub repositories

ezEML+MOTHER

MOTHER schema

MOTHER XML Schema Definition


Papers

Wittner, R. et al. (2023). Towards a common standard for data and specimen provenance in life sciences. Learning Health Systems e10365, doi: https://doi.org/10.1002/lrh2.10365.

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Presentations

2023 (in reverse chronological order)

Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2023). Efficacy of Rapamycin for Increasing Female Reproductive Longevity in Old Rhesus Macaques. Presented at the 2023 Arizona Physiological Society Meeting, Glendale, AZ, October 27-28.

Shah, G., Azooz, M., Zelinski, M., Dietrich, S., Sluka, J. P. & Watanabe, K. H. (2023). New Techniques for Ovary Histology: Follicle identification and Quantification using Shared Digital Images. p. 177. (Society for the Study of Reproduction). Presented at the Society for the Study of Reproduction 56th Annual Meeting, Ottawa, Canada, July 11-14.

New College Research Symposium

Austin, K., Daniele, A. & Watanabe, K. H. (2023). Synergistic Collaboration and Data Science Within the MOTHER Project. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.

Shah, G., Azooz, M., Zelinski, M. B., Watanabe, K. H., Sluka, J. & Dietrich, S. (2023). Rapamycin’s Role in Prolonging Ovarian Reproductive Lifespan:  A Nonhuman Primate Model. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.

Weir, V., Tomlin, M. & Watanabe, K. H. (2023). Variation in Reproductive Cycles and Ovarian Development Among Selected Species. Presented at the NCUIRE: New College Research Symposium, Glendale, AZ, April 20.

Shah, G., Azooz, M., Dietrich, S., Watanabe, K. H., Zelinski, M. B. & Sluka, J. (2023). Rapamycin’s Role in Prolonging Ovarian Reproductive Lifespan:  A Nonhuman Primate Study. In Proceedings of the Arizona-Nevada Academy of Science Sixty Fourth Annual Meeting. 55: pp. 7-8. Presented at the Arizona-Nevada Academy of Science 64th Annual Meeting, Mesa, AZ, April 15.

2022 (in reverse chronological order)

Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2022). Efficacy of Rapamycin in Increasing Female Reproductive Longevity: A Nonhuman Primate Model. Presented at the 2022 Arizona Physiological Society Meeting, Scottsdale, AZ, October 21-22.

Shah, G., Azooz, M., Zelinski, M. B. & Watanabe, K. H. (2022). Rapamycin’s Role on Ovarian Follicular Development: A Nonhuman Primate Model. Presented at the BioSci Southwest, Tempe, AZ, September 30.

Watanabe, K. H. et al. (2022). The Multispecies Ovary Tissue Histology Electronic Repository (MOTHER): Share your ovary histology slides with the world. In Reproduction: Odyssey of Discovery. p. 73. Presented at the 55th Annual Meeting of the Society for the Study of Reproduction, Spokane, WA, July 26-29.

Sluka, J. P., Nagda, P., Rao, P. R. & Bhapkar, A. S. (2022). Machine Learning for the Classification of Ovarian Follicles from Histology Images. Presented at the IU School of Informatics, Computing and Engineering for the 2022 Summer Faculty Assistance in Data Science (FADS) program, Bloomington, IN, July 22.

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Related references

Tsui, E. L. et al. (2023). Creating a common language for the subanatomy of the ovary. Biology of Reproduction 108, 1-4, doi:10.1093/biolre/ioac199.

O’Neill, K. E. et al. (2022). Anatomic nomenclature and 3-dimensional regional model of the human ovary: call for a new paradigm. American Journal of Obstetrics and Gynecology 228, 270-275.e4, doi:10.1016/j.ajog.2022.09.040.

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Funding: MOTHER DB is funded by grant “CIBR Multispecies Ovary Tissue Histology Electronic Repository (MOTHER)” from the National Science Foundation (NSF DBI-2054061, 2021 – 2024).
Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.