Author

C.-T. Yang

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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Bioengineering· 1 Microbiology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:microscopy & imaging analysis· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

B. Thierry· 1 shared C.-C. Chien· 1 shared C.-h. Chen· 1 shared C.-H. Kao· 1 shared C.-L. Teng· 1 shared C.-W. Chen· 1 shared C.-Y. Lee· 1 shared G. Pallares· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBioengineering

B. Thierry

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Suite of Biochemical and Cell-Based Assays for the Characterization of KRAS Inhibitors and Degraders

M. Kidane, R. M. Hoffman, J. K. Wolfe-Demarco, T.-Y. Huang, C.-L. Teng, L. M. Gonzalez Lira, J. Lin-Jones, G. Pallares, J. E. Lamerdin, N. B. Servant, C.-Y. Lee, C.-T. Yang, J. A. Bernatchez

The paper develops biochemical and cell-based assays to evaluate KRAS inhibitors and degraders, generating selectivity profiles and dissociation constants for various KRAS mutants.

bioRxiv · Jul 20, 2024 · PreprintPharmacology & Toxicology

Optical Cellular Micromotion: A New Paradigm to Measure Tumour Cells Invasion in 3D Tumour Environments

Z. Guo, C.-T. Yang, C.-C. Chien, L. Selth, P. Bagnaninchi, B. Thierry

This paper introduces optical cellular micromotion as a method to measure tumour cell invasion in 3D environments, showing it correlates with motility and responds to migrastatic drugs.

bioRxiv · Aug 26, 2021 · PreprintBioengineering

Genomic, geographic and temporal distributions of SARS-CoV-2 mutations

H.-C. Yang, C.-h. Chen, J.-H. Wang, H.-C. Liao, C.-T. Yang, C.-W. Chen, Y.-C. Lin, C.-H. Kao, J. C. Liao

This study analyzes the genomic, geographic, and temporal distribution of SARS-CoV-2 mutations using 1,932 genomes, identifying six phylogenetic clusters and a positive correlation between mutation count and case fatality.

Proceedings of the National Academy of Sciences · Nov 12, 2020Peer-reviewedMicrobiology