# Molecular Control of Meiotic Chromosome Dynamics

> **NIH NIH R35** · JOHNS HOPKINS UNIVERSITY · 2020 · $409,375

## Abstract

Project Summary/Abstract
Sexually reproducing organisms rely on meiosis, a specialized cell division that produces haploid gametes
such as sperm and eggs, to restore the genetic content of the zygote through fertilization. Errors in this process
lead to the production of offspring with an abnormal number of chromosomes or aneuploidy, and this is a major
cause of human miscarriages and birth defects such as Down syndrome. Accurate segregation of
chromosomes during meiosis requires that they pair, synapse, and undergo crossover recombination with their
homologs. Although genetic studies over the decades have identified a list of proteins that are essential for
meiotic processes, it remains largely unknown how these protein machines work together to orchestrate
chromosome dynamics. My research program will investigate these fundamental processes by combining
biochemical and structural analysis using purified components, with the ability to examine meiosis in the
context of highly tractable C. elegans germline. Early in meiosis, chromosomes are dramatically reorganized
into arrays of chromatin loops tethered to a proteinaceous axis, and this is essential for all major meiotic
events

## Key facts

- **NIH application ID:** 9960531
- **Project number:** 5R35GM124895-04
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Yumi Kim
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $409,375
- **Award type:** 5
- **Project period:** 2017-09-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9960531

## Citation

> US National Institutes of Health, RePORTER application 9960531, Molecular Control of Meiotic Chromosome Dynamics (5R35GM124895-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9960531. Licensed CC0.

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