Yasuhiro Fujiwara, Ph.D.

Postdoctoral Associate

Conducts research focused on the functions of genes in meiosis/spermatogenesis using mutant mice, especially intercellular bridges of germ cells and meiotic recombination/crossing over.

Contact me at: 1-207-288-6564

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About Yasuhiro Fujiwara, Ph.D.

I am interested in meiosis, spermatogenesis and genetics. My research has focused on the functions of genes in meiosis/spermatogenesis using mutant mice, especially intercellular bridges of germ cells and meiotic recombination/crossing over. More recently, my research is focusing on regulation of transcriptome in male germ cells, and the roles of genes on this mechanism. As a postdoctoral associate at The Jackson Laboratory, I’m focusing on transcriptome of male germ cells and its regulation during meiosis. First, my research has been using normal mice to see how the transcriptome of male germ cell behaves during meiosis. Second, my research is focusing on one of the genes known as a transcription regulator and is using a newly identified mutant. Finally, my research explores novel transcriptional regulators during meiosis. Because transcriptome analysis requires computational analysis, my research collaborates with computational analysts. My ongoing projects are “Transcriptome of germ cells during the first wave of spermatogenesis,” “Investigation of the role of senataxin in meiosis” and “The role of Prdm9 in meiosis.”

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Awards, honors and accomplishments

Bounty for graduate students of Okayama University, title “Genetic and histological analysis of spermatogenesis in repro57”, Okayama University, 2010

Sasakawa research grant from the Japan Society for the Promotion of Science (22-426). Title “Genetic and histological analysis of spermatogenesis in repro57” 2009

Asian Pacific Islander Organization (APIO) Scholarship 2006-2008

Dean’s List, University of Hawaii at Manoa 2005

Research HighlightMarch 12, 2019
A closer look at structural variants in the genome
A recent Cell paper uses long-read DNA sequencing and other advanced genomics tools and methods to shed light on genomic structural variants.
Research HighlightMarch 08, 2019
Breaking up is hard to do
New research shows that proteins work together to enable DNA double-strand breaks during meiosis.
- Reproductive Biology
- Genetics and Genomics
Research HighlightFebruary 28, 2019
Two proteins essential for layered sterocilia elongation in the inner-ear
A research team led by Basile Tarchini has found two new proteins that are essential to the correct elongation of stereocilia, tiny hair-like cellular protrusions in the inner ear.
Search MagazineFebruary 11, 2019
The engines of genetic diversity
JAX Assistant Professor Beth Dumont, Ph.D., is working to better understand the processes that give rise to genetic diversity, and how specific variations can contribute to disease susceptibility.

Research HighlightMarch 08, 2019
Long-range connectivity and gene regulation networks
A complicated three-dimensional network involving proteins and specific DNA sequences helps regulate the expression of genes. New work led by JAX’s Chia-Lin Wei shows how one protein, SOX2, plays a significant role in neural stem cells, affecting many aspects of development and function.
Press ReleaseMarch 05, 2019
3D genomics one nucleus at a time
Supported by a recent four-year, $2.3M grant from the National Institute of General Medical Sciences, Wei is looking to develop a method for chromatin interaction analysis in single nuclei, with single-molecule resolution.
- Genetic Tools
- Genetics and Genomics
Press ReleaseFebruary 18, 2019
A crystal ball for looking at the complexity of the 3D genome
A team led by Jackson Laboratory Professor Yijun Ruan, Ph.D., has developed a new method, called ChIA-Drop, that allows researchers to investigate 3D genomic structures with unprecedented precision and clarity.
Research HighlightFebruary 06, 2019
JAX collaboration yields important implications for data science
A paper published in Molecular Biology of the Cell leads to important implications for both reproductive biology and data science.