Author

T. Mu

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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Biochemistry· 2 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Y.-J. Wang· 3 shared A. W. Paton· 1 shared B. Li· 1 shared B. T. Grenfell· 1 shared B. Wang· 1 shared F. Guo· 1 shared G. H. Vu· 1 shared G. Zhang· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBiochemistry

Y.-J. Wang

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Pathogenicity Prediction of GABAA Receptor Missense Variants

Y.-J. Wang, G. H. Vu, T. Mu

The paper predicts the pathogenicity of GABAA receptor missense variants using AlphaMissense and Rhapsody, showing good correlation between tools and identifying most ClinVar pathogenic variants.

bioRxiv · Nov 14, 2023Biochemistry

Synchrony of Bird Migration with Avian Influenza Global Spread; Implications for Vulnerable Bird Orders

Q. Yang, B. Wang, P. Lemey, L. Dong, T. Mu, R. A. Wiebe, F. Guo, N. S. Trovao, S. W. Park, N. Lewis, J. Tsui, S. Bajaj, Y. Cheng, L. Yang, Y. Haba, , B. T. Grenfell

The paper uses phylodynamic analyses to link bird migration patterns with the global spread of HPAIV H5 clade 2.3.4.4, identifying vulnerable bird orders and highlighting Suliformes and Ciconiiformes as important in virus dispersal.

bioRxiv · May 22, 2023Ecology

Adapting the endoplasmic reticulum proteostasis rescues epilepsy-associated NMDA receptor variants

P.-P. Zhang, T. M. Benske, J. C. Paton, A. W. Paton, T. Mu, Y.-J. Wang

This study shows that enhancing ER proteostasis with BIX rescues the function of epilepsy-linked NMDAR variants by improving their folding and trafficking.

bioRxiv · Apr 1, 2023Cell Biology

Quantitative interactome proteomics identifies proteostasis network for GABAA receptors

Y.-J. Wang, X.-J. Di, T. Mu

The paper identifies the proteostasis network of GABAA receptors using quantitative proteomics, revealing key proteins involved in their biogenesis and function.

bioRxiv · Mar 8, 2022Biochemistry