Sarma, U. | bioRxiv Science

bioRxiv2024

AMH regulates ovary size by counteracting ovarian follicle cluster effects.

Serum anti-Mullerian hormone (AMH) is the primary clinical indicator of mature oocyte counts in the ovaries, but its biological role remains poorly understood. Mammalian ovaries have a finite lifetime of oocytes that are slowly depleted as the dormant follicles housing the oocytes initiate maturation. Less than 0.1% of these follicles will reach maturity and ovulate an oocyte. Recent studies suggest that AMH is a key regulator that removes most of these follicles at early stages of follicle maturation. Most AMH is secreted as an inactive precursor protein, and we show that the required activating-enzymes are largely present outside the follicle. We then measured AMH concentrations in ovarian stroma with microdialysis showing that activity is confined to a short range from the site of secretion. To examine short-range interactions between follicles, we reconstructed the ovarian follicle positions from sheep ovaries in 3D space. This showed that most early follicles develop in proximity to more advanced follicles. Active immunisation of sheep against AMH to inhibit signalling, greatly expanded early follicle numbers, but almost entirely in proximity to large follicles. Large follicle proximity appears to greatly enhance early follicle survival, and AMH appears to attenuate this effect to prevent follicle overgrowth beyond sustainable limits.

physiology↗

bioRxiv2018

Quantitative modelling explains distinct STAT1 and STAT3 activation dynamics in response to both IFNγ and IL-10 stimuli and predicts emergence of reciprocal signalling at the level of single cells

IFN{gamma} and IL10 pathways elicit functionally opposing cell fates, however, these two stimuli activate common transcription factors like STAT1 and STAT3 (S/1/3). How the two stimuli regulate the dynamics of S/1/3 activation remains less understood. Here, we experimentally measured the signaling dynamics of S/1/3 in response to IFN{gamma} and IL10 and found that STAT3, in particular, exhibits a bell-shaped response to both stimuli with maximal activation in an intermediate dose. We built a mathematical model, which quantitatively captured the S/1/3 dynamics and by model analysis, we identified the primary regulators controlling the bell-shaped STAT3 responses in both pathways. As the STATs are activated in response to both stimuli, in a scenario when cells are subjected to co-stimulation of IFN{gamma} and IL10, an interpathway competition to activate the common substrate is plausible. Additionally, a strong transcriptional induction of SOCS1 (a negative regulator of IFN{gamma} pathway) was observed upon IL10 stimulation, suggesting that IL10 pathway can potentially inhibit the IFN{gamma} pathway via SOCS1 induction. To quantitatively understand the S/1/3 responses to co-stimulation we next simulated the same which predicted STAT3 activation and SOCS1 induction dynamics would robustly remain IL10 driven. Subsequent experiments validated the model predictions. Further, the model analysis identified the primary regulators controlling the robustness of IL10-STAT3 axis in co-stimulation. Together, our data-driven model quantitatively captured the dynamics of the STATs in response to both pro (IFN{gamma}) and anti (IL10)-inflammatory stimuli and identifies distinct regulatory elements controlling STAT3 signaling in individual and co-stimulation conditions.

systems biology↗