# Quantitative in vitro and in vivo analyses of oscillatory processes in early zebrafish embryos

> **NIH NIH R35** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $336,822

## Abstract

Project Summary
Our broad research goal is to develop a comprehensive understanding of stochastic cellular and
developmental processes, during which form and pattern emerge from the simple beginnings of a fertilized
egg. In specific, we pursue questions of how clocks are designed and coordinate to produce collective
behaviors with spatiotemporal accuracy during embryo development.
Our research emphasizes on both the development of novel methods and applications to relevant questions.
One research goal is to develop an interdisciplinary platform that enables computational search and
experimental reconstitution and manipulation of biological oscillators, to determine the recurring clock network
topologies and functions. The other is to understand how a pattern is formed with high spatiotemporal accuracy
during zebrafish somitogenesis, through the interactions of multiple clocks, including a mitotic clock to “tell” a
cell when to proliferate and a segmentation clock to “tell” when a somite is to form. The two research directions
are interrelated. Theoretical modeling, microfluidics, and advanced imaging tools at the single molecule and
single cell levels will facilitate the investigation of these phenomena.

## Key facts

- **NIH application ID:** 9937748
- **Project number:** 5R35GM119688-05
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Qiong Yang
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $336,822
- **Award type:** 5
- **Project period:** 2016-08-19 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9937748

## Citation

> US National Institutes of Health, RePORTER application 9937748, Quantitative in vitro and in vivo analyses of oscillatory processes in early zebrafish embryos (5R35GM119688-05). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/9937748. Licensed CC0.

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