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Multi-omics Analysis Lab
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A lab that explores the mechanisms of cell differentiation using histone variants and omics data.
AboutAbout the lab
Exploring how cells differentiate through omics data.
The Multi-omics Analysis Lab investigates how genes behave when cells differentiate, using approaches such as histone variants, epigenetics, and single-cell analysis.
In skeletal muscle differentiation, the lab studies how cell fate is determined; in germ cells, it studies how marks are placed on the genome.
Another pillar of the lab is research that analyzes omics data mathematically to reveal high-dimensional dynamics of life.
In the Graduate School of Systems Life Sciences' introduction of its divisions, the lab is listed under the name "Multi-omics."
Key terms
- Histone variant
- Among histones, the proteins that DNA wraps around, a type whose structure differs slightly from the standard ones.
- Epigenetics
- Mechanisms that regulate gene activity without changing the DNA sequence.
- Single-cell analysis
- An analysis method that separates cells and examines them one at a time.
ResearchResearch themes
This lab studies the mechanisms involved in cell differentiation, focusing on skeletal muscle and germ cells. It also conducts research that mathematically analyzes single-cell and multi-omics data.
*Illustrative imageGenome Marking in Germ Cells
The lab studies how histone variants mark the genome in germ cells. The research focuses on connections with cell differentiation, epigenetics, and transcription.
*Illustrative imageSkeletal Muscle Differentiation and Cell Fate Determination
Using skeletal muscle differentiation as a model, the lab studies how cell fate is determined. The research focuses on epigenetics, histone variants, and transcription.
*Illustrative imageGene Selection by H3mm7
This research aims to clarify how H3mm7, a novel histone H3 variant that functions in skeletal muscle differentiation, selects which genes it acts on.
*Illustrative imageMathematical Analysis of Omics Data
The lab aims to reveal high-dimensional dynamics of life by mathematically analyzing single-cell and multi-omics data.
MembersFaculty
- ProfessorAkihito Harada
- Associate ProfessorKazumitsu Maehara
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “30nm Chromatin Structures” Zephyris at English Wikipedia / CC BY-SA 3.0 (cropped)
- Genome Marking in Germ Cells: “XBio illustration – Germ Cell” explorebiology / CC BY 4.0 (cropped)
- Skeletal Muscle Differentiation and Cell Fate Determination: “Myoblast Fusion - Myogenesis” Darryl Leja, National Human Genome Research Institute, National Institutes of Health / Public domain (cropped)
- Gene Selection by H3mm7: “Nucleosome at enhancer with H3K122 acetylated” MethylC5 / CC0 (cropped)
- Mathematical Analysis of Omics Data: “Mathematical analysis, Linear algebra, Mathematics lecture notes, Rostov-on-Don, Russia” Vyacheslav Argenberg / CC BY 4.0 (cropped)
- Related lab (Systematic Anatomy Lab): “Giant Puffer fish skin pattern” Chiswick Chap / CC BY-SA 3.0 (cropped)
- Related lab (Biochemistry Lab): “A Pathway to Protocells on Titan – Animations (SVS -Cell-Membrane-Thumbnail)” NASA's Scientific Visualization Studio - NASA Goddard / Public domain (cropped)
- Related lab (Basic Stem Cell Biology Lab): “Neural Stem Cells and Growth Hormone Receptor” Pdevesap / CC BY-SA 4.0 (cropped)
- Related lab (Clinical Laboratory Medicine Lab): “Europa Clipper's Mass Spectrometer” NASA/JPL-Caltech / Public domain (cropped)
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