Ariella Shikanov, PhD - Artificial Ovary, Delaying Menopause and Big Ideas in Ovarian Biology

What would it take to create an Artificial Ovary?

Meet Ariella Shikanov, professor of biomedical engineering at the University of Michigan. Earlier this year, her team at Shikanov Lab made history when they created a new Map of the Ovary.

With the support of the Chan Zuckerberg Initiative, Ariella's team mapped gene expression in various regions of the ovary, marking a major milestone in our understanding of reproductive biology.

Enjoy!

Want to become a MOTHER-sponsor and create some magic together? Reach out to us: https://shorturl.at/0RHLM

(00:00) Intro

(03:00) How ovaries work: eggs, hormones, and follicles explained

(06:10) Puberty and how the brain controls your ovaries

(07:30) How your ovaries talk to other organs

(09:00) Key findings from Map of The Ovary research

(12:00) Oncofertility: preserving fertility during cancer treatment

(15:30) The challenge and hope of freezing ovarian tissue

(17:50) Delaying menopause: new approaches to keep ovaries functioning longer

(21:00) The future of artificial ovaries and extending hormone production

(24:00) How the immune system affects ovarian health, PCOS, and endometriosis

(28:00) Women’s immune health and its role in reproduction

(31:00) Ethical questions in ovarian research

(35:00) How delaying menopause could improve quality of life

(37:50) How Ariella’s work is shaping the future of women’s health

Links:

Ariella's X Profile - https://x.com/ariellashikanov

Shikanov Lab at University of Michigan - Research overview, publications, and projects related to preserving ovarian function and artificial ovary development.

https://www.shikanov.bme.umich.edu

Map of the Human Ovary - Spatial Atlas Research - A detailed explanation of the map created by Shikanov Lab, including its implications for fertility research.

https://news.engin.umich.edu/articles/spatial-atlas-of-the-human-ovary

Human Cell Atlas: Ovarian Map - A cellular atlas of the human ovary using spatial transcriptomics and single-cell sequencing data.

https://explore.data.humancellatlas.org/projects/f598aee0-d269-4036-90e9-d6d5b1c84429

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