Author

Ying Wu

Mayo Clinic

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

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Biology Disciplines

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Bioinformatics· 1 Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Approach:mechanistic / dynamical model· 1 Assay:proteomics· 1

Frequent Co-Authors

Aileen LuiD· 1 shared Amanda Murdoch· 1 shared Amin ZiaiD· 1 shared Bianca Liang· 1 shared Christine P’ng· 1 shared Cindy Q. Yao· 1 shared Clement FungiD· 1 shared Daryl M. WaggottiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aileen LuORCID

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Author profile →

3 papers

Recent·Most cited

Functional Evaluation of TRPC6 Missense Variants in Cancer Patients via Molecular Docking Analysis Compared with Patch Clamp Electrophysiology

Ying Wu, Xiaojing Sun, Joseph S. Reddy, Pooja Prem Advani, Nicholas James Boddicker, James R. Cerhan, Hector R. Villarraga, Samuel J. Asirvatham, Ru-Xing Wang, Hon-Chi Lee, Nadine Norton, Fernando Berton Zanchi, Tong Lu

This study evaluates TRPC6 missense variants in cancer patients using molecular docking and patch clamp electrophysiology to predict functional impact and guide clinical decisions.

Journal of Biological Chemistry · May 6, 2026Peer-reviewedPhysiology

BPG: Seamless, Automated and Interactive Visualization of Scientific Data

Christine P’ng, Jeffrey J. Green, Lauren C. Chong, Daryl M. Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Nguyen, Denise Y. F. Mak, Felix Lam, Marco Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle Chan‐Seng‐Yue, Cindy Q. Yao, , Paul Christopher Boutros

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.

BMC Bioinformatics · Jan 21, 2019Peer-reviewedBioinformatics

Modeling Zika Virus Congenital Eye Disease: Differential Susceptibility of Fetal Retinal Progenitor Cells and iPSC-Derived Retinal Stem Cells to Zika Virus Infection

Deisy Contreras, Melissa Kaye Jones, Laura E. Martinez, Vineela Gangalapudi, Jie Tang, Ying Wu, Jiagang J. Zhao, Zhaohui Chen, Shaomei Wang, Vaithilingaraja Arumugaswami

This study models ZIKV-induced congenital eye disease by comparing susceptibility of fetal retinal cells and iPSC-derived retinal stem cells, identifying molecular pathways and potential therapeutic targets.

bioRxiv · Apr 18, 2017 · PreprintMicrobiology