Author

T. Kurita

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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Cancer Biology· 1 Ecology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1

Frequent Co-Authors

A. Alsamarah· 1 shared A. Chandler· 1 shared A. Kurabayashi· 1 shared A. Tabassum· 1 shared B. T. Andresen· 1 shared G. Sharma· 1 shared I. Nies· 1 shared J. K. Yeon· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperPharmacology & Toxicology

A. Alsamarah

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Development and evaluation of PCR primers for environmental DNA (eDNA) metabarcoding of Amphibia

M. K. Sakata, M. U. Kawata, A. Kurabayashi, T. Kurita, M. Nakamura, T. Shirako, R. kakehashi, K. Nishikawa, M. Y. Hossman, T. Nishijima, J. Kabamoto, M. Miya, T. Minamoto

The paper develops and evaluates PCR primers for eDNA metabarcoding of amphibians, finding that the Amph16S primer set detects twice as many species as physical surveys in agricultural ecosystems.

bioRxiv · Oct 29, 2021 · PreprintEcology

Stage-specific muscle wasting mechanisms in a novel cancer cachexia mouse model for ovarian granulosa cell tumor

Y. Zhang, J. Zhu, S.-Y. Kim, M. Romero, K. Even, T. Kurita, T. Woodruff

This study develops a novel mouse model of ovarian granulosa cell tumor-induced cachexia, revealing stage-specific muscle wasting mechanisms and potential therapeutic targets.

bioRxiv · Jun 16, 2020 · PreprintCancer Biology

In silico prediction of ARB resistance: A first step in creating personalized ARB therapy

S. D. Anderson, A. Tabassum, J. K. Yeon, G. Sharma, P. Santos, T. H. Soong, Y. W. Thu, I. Nies, T. Kurita, A. Chandler, A. Alsamarah, R.-S. Kanassatega, Y. Luo, W. M. Botello-Smith, B. T. Andresen

This study predicts ARB resistance by simulating how nsSNPs in the AT1R gene affect drug binding, achieving 60% accuracy in predicting resistance.

bioRxiv · Feb 12, 2020Pharmacology & Toxicology