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Integrative Omics Lab
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A lab that decodes cellular information networks from multilayered omics data.
AboutAbout the lab
Decoding life as a multilayered information network.
The Integrative Omics Lab studies life by reading and understanding it as "a large-scale information network spanning multiple layers."
By closely coordinating experiments with computational analysis, the lab pursues trans-omics analysis, which reconstructs networks from multilayered data.
Focusing on obesity, the lab investigates how obesity becomes a risk factor for various diseases and what blood insulin patterns mean.
On the lab's website, it is presented under the name "Division of Integrative Omics."
Key terms
- Trans-omics analysis
- An analysis that combines omics data from multiple layers to reconstruct and study a cell's information network
- Epigenome
- The entire set of chemical marks attached to DNA and other components that regulate gene activity. It is one of the layers of omics
- Homeostasis
- The function of keeping the body's condition within a certain range
NewsLab news
A paper from the lab was published in Comput Biol Med.
A paper from the lab was published in npj Syst. Biol. Appl.
A paper from the lab was published in PLOS One
ResearchResearch themes
A cell is a "system" controlled by a large-scale, complex information network spanning multiple layers. This lab reconstructs that network from quantitative, multilayered omics data, aiming to understand the strategies of cells and to control biological responses.
*Illustrative imageReconstructing multilayered information networks
Cells are controlled by information networks that span multiple omics layers, such as the epigenome and the transcriptome. By coordinating experiments and analysis, the lab aims to reconstruct these networks and understand the strategies of cells.
*Illustrative imageElucidating the information processing systems of life
The lab investigates how living organisms use networks to process external information such as hormones, nutrients, and temperature. It builds differential equation models and statistical models from experimental data, clarifies their properties and meaning, and ultimately aims to control them.
*Illustrative imageUnderstanding the progression of obesity as a system
Obesity is a risk factor for many diseases, including diabetes, cancer, and cardiovascular disease. The lab aims to clarify how obesity disrupts homeostasis in the body and becomes a breeding ground for disease, and to monitor and control the progression of obesity.
*Illustrative imageThe meaning of insulin patterns in the blood
Insulin is the only hormone that can lower blood glucose levels. The lab has shown that it can selectively control downstream molecules depending on its patterns in the blood, and is now focusing on the significance of these patterns in obesity and on the control of blood glucose levels.
MembersFaculty
The Integrative Omics Lab's members consist of faculty, students in the integrated doctoral program, technical staff, and administrative assistants.As of 2026
- ProfessorHiroyuki Kubota
- Assistant ProfessorFumiko Matsuzaki
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: “Multichannel pipette-12” real name: Nadina Wiórkiewicz pl.wiki: Nadine90 commons: Nadine90 / CC BY-SA 3.0 (cropped)
- Reconstructing multilayered information networks: “Hist1 Biological Network Graph” LuAtOU / CC0 (cropped)
- Elucidating the information processing systems of life: “Systems Biology - Networks” Martip03 / CC0 (cropped)
- Understanding the progression of obesity as a system: “Dermatology - Fat tissue -- Smart-Servier” Laboratoires Servier / CC BY-SA 3.0 (cropped)
- The meaning of insulin patterns in the blood: “Homeostasis of blood sugar” Christinelmiller / CC0 (cropped)
- Related lab (Biomedical Information Analysis Lab): “Geographical distribution of human major genetic ancestral components” Wikiuser1314 / CC BY-SA 4.0 (cropped)
- Related lab (Molecular Neuroimmunology Lab): “Fluorescently Labeled Microglia in a Mouse Brain Section” Syed07 / CC BY 4.0 (cropped)
- Related lab (Gene Expression Dynamics Lab): “TranscriptionGraphic PublicDomain” Zulujive / CC0 (cropped)
- Related lab (Transcriptomics Lab): “Chromatin Structures” Original uploader was Richard Wheeler at en.wikipedia / CC BY-SA 3.0 (cropped)
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