Yosui Nojima

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Specially Appointed Lecturer

Osaka University

Japan

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Recent Grants

Grant: Close

Identification of Novel Antifibrotic Drug by Data-Driven Research Using AI

Open Date: 2020-04-01

Close Date: 2023-03-01

Grant: Close

Identification of Small Non-Coding RNA for Pupation

Open Date: 2016-04-01

Close Date: 2018-03-01

Articles (9)

Year:

2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Year:

2020

Collaborators (4)

Kenji Mizuguchi

Osaka University

JAPAN

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Kiyoharu Fukushima

Assistant professor

Osaka University

JAPAN

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Rodolfo Allendes Osorio

Specially Appointed Assistant Professor

Osaka University

JAPAN

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Tsuyoshi Esaki

Associate Professor

Shiga University

JAPAN

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Yosui Nojima

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (9)

Integration of pharmacoproteomic and computational approaches reveals the cellular signal transduction pathways affected by apatinib in gastric cancer cell lines

Identification of CD14 and lipopolysaccharide-binding protein as novel biomarkers for sarcoidosis using proteomics of serum extracellular vesicles

Temporal dynamics from phosphoproteomics using endoscopic biopsy specimens provides new therapeutic targets in stage IV gastric cancer

Expression of Cancer Stem Cell Markers EpCAM and CD90 Is Correlated with Anti- and Pro-Oncogenic EphA2 Signaling in Hepatocellular Carcinoma

Characterization of Heat Shock Protein 60 as an Interacting Partner of Superoxide Dismutase 2 in the Silkworm, <i>Bombyx mori</i>, and Its Response to the Molting Hormone, 20-Hydroxyecdysone

Proteomics of serum extracellular vesicles identifies a novel COPD biomarker, fibulin-3 from elastic fibres

Metabolomic analysis of fibrotic mice combined with public RNA‐Seq human lung data reveal potential diagnostic biomarker candidates for lung fibrosis

Estimation of relationships between chemical substructures and antibiotic resistance-related gene expression in bacteria: Adapting a canonical correlation analysis for small sample data of gathered features using consensus clustering

Panomicon: A web-based environment for interactive, visual analysis of multi-omics data

Collaborators (4)

Kenji Mizuguchi

Kiyoharu Fukushima

Rodolfo Allendes Osorio

Tsuyoshi Esaki

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