Haruka Ozaki

Associate Professor

University of Tsukuba

Japan

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Haruka Ozaki is an Associate Professor at the University of Tsukuba, Japan. Her research encompasses various areas including cell signaling in cancer, neuroscience data analysis, metabolic network dynamics, evolutionary biology, functional genomics, and laboratory automation. She has contributed to the understanding of IL-1 signaling in squamous cell carcinoma and has developed tools for single-cell transcriptome analysis and laboratory automation.

Articles (18)

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2025

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JAPAN

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Kyushu University

JAPAN

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Haruka Ozaki

Research Interests

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Articles (18)

THG-1/TSC22D4 Promotes IL-1 Signaling through Stabilization of TRAF6 in Squamous Cell Carcinoma

A practical guide for single-cell transcriptome data analysis in neuroscience

Structural robustness and temporal vulnerability of the starvation-responsive metabolic network in healthy and obese mouse liver

Domain‐Shuffling in the Evolution of Cyclostomes and Gnathostomes

Unmeasured human transcription factor ChIP-seq data shape functional genomics and demand strategic prioritization

tomoseqr: A Bioconductor package for spatial reconstruction and visualization of 3D gene expression patterns based on RNA tomography

Automating care by self-maintainability for full laboratory automation

Regional developers’ community accelerates laboratory automation

SAGAS: Simulated annealing and greedy algorithm scheduler for laboratory automation

Automation of yeast spot assays using an affordable liquid handling robot

CCPLS reveals cell-type-specific spatial dependence of transcriptomes in single cells

Cell-to-cell interaction analysis of prognostic ligand-receptor pairs in human pancreatic ductal adenocarcinoma

Optimal Scheduling for Laboratory Automation of Life Science Experiments with Time Constraints

Integrated analysis of glycan and RNA in single cells

Erratum: Possible cross-feeding pathway of facultative methylotroph Methyloceanibacter caenitepidi Gela4 on methanotroph Methylocaldum marinum S8 (PLoS ONE (2019) 14:3 (e0213535) DOI: 10.1371/journal.pone.0213535)

Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle

Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

Stability of RNA sequences derived from the coronavirus genome in human cells

Collaborators (10)

Akiyoshi Hirayama

Takaho Tsuchiya

Masaki Matsumoto

Satoshi Ohno

Koichi Takahashi

Katsuyuki Yugi

Tomoyoshi Soga

Genki Kanda

Akihiro Kuno

Takeshi Bamba

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