Author

Runjie Guo

Osaka Metropolitan University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:rat· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Arpamas VachiraarunwongiD· 3 shared Guiyu Qiu· 3 shared Hideki WanibuchiiD· 3 shared Masaki FujiokaiD· 3 shared Min GiiD· 3 shared Shugo SuzukiiD· 3 shared Ikue NouraiD· 2 shared Kwanchanok PraseatsookiD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersPharmacology & Toxicology

Arpamas VachiraarunwongORCID

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3 papers

Recent·Most cited

Developing a Novel In Vitro Toxicity Assay for Predicting Inhalation Toxicity in Rats

Arpamas Vachiraarunwong, Masaki Fujioka, David Bedell Alexander, Shugo Suzuki, Runjie Guo, Guiyu Qiu, Yurina Kawamura, Kana Shibano, Ikue Noura, Kwanchanok Praseatsook, Hirotoshi Akane, Shinji Takasu, Hiroyuki Tsuda, Kumiko Ogawa, Hideki Wanibuchi, Min Gi

This paper develops and validates an optimized A549-NRU assay for predicting acute inhalation toxicity in rats, showing strong correlation with in vivo LC50 values.

Toxicology Letters · Dec 10, 2025Peer-reviewedPharmacology & Toxicology

Construction of a novel 3D urinary bladder mucosa model and its application in toxicity assessment of arsenicals

Runjie Guo, Min Gi, Tohru Kiyono, Arpamas Vachiraarunwong, Shugo Suzuki, Masaki Fujioka, Guiyu Qiu, Kwanchanok Praseatsook, Yurina Kawamura, Anna Kakehashi, Ikue Noura, Xiao‐Li Xie, Hideki Wanibuchi

This paper constructs a 3D urinary bladder mucosa model and uses it to assess the toxicity of arsenicals, showing dose-dependent cytotoxic effects and potential carcinogenic mechanisms.

Toxics · Sep 29, 2025Peer-reviewedPharmacology & Toxicology

A Novel Support Vector Machine-Based One-Day, Single-Dose Prediction Model of Genotoxic Hepatocarcinogenicity in Rats

Min Gi, Shugo Suzuki, Masayuki Kanki, Masanao Yokohira, Tetsuya Tsukamoto, Masaki Fujioka, Arpamas Vachiraarunwong, Guiyu Qiu, Runjie Guo, Hideki Wanibuchi

This paper develops a support vector machine-based model to predict genotoxic hepatocarcinogens in rats using gene expression data from a single dose and day of exposure.

Archives of Toxicology · May 18, 2024Peer-reviewedPharmacology & Toxicology