No two ovaries are alike, and indeed, the same ovary can change its architecture from day to day. This is because ovarian follicles are present in different numbers, positions, and states of maturation throughout reproductive life. All possible developmental states of follicles can be represented at any time, along with follicles that have committed to death (termed follicle atresia). Static histological and whole-mount imaging approaches allow snapshots of what is occurring within ovaries, but our views of dynamic follicle growth and death have been limited to these tools. We present a simple model of the complex mouse ovary, called “ŌvSim”. Simulating the growth and fate of each of the approximately 3000 postpubertal mouse ovarian follicles over time, ŌvSim produces follicle numbers that closely match numbers predicted by histomorphometric and imaging analyses (e.g., follicle counts) and data on ovulatory rates. ŌvSim relies on the specification of three key parameters or inputs to the simulation: the probability that individual primordial follicles can growth activate daily, the fraction of granulosa cells that survive as follicles grow, and the probability that individual follicles can commit to atresia daily. When the probability of daily growth activation is near 0.005, granulosa cell survival is 0.88, and the probability of atresia for all follicles is near 0.1, ŌvSim simulates follicle growth in a fashion that closely matches biological measurements. ŌvSim thus offers a starting platform to simulate mammalian ovaries and to explore factors that might impact follicle development and global organ function.
- Downloaded 1,256 times
- Download rankings, all-time:
- Site-wide: 21,101
- In physiology: 58
- Year to date:
- Site-wide: 122,594
- Since beginning of last month:
- Site-wide: 32,576
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!