Author

W. Jiao

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· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Danyi· 1 shared C. van Herpen· 1 shared E. Cuppen· 1 shared E. M. M. Bulloch· 1 shared E. W. Akazong· 1 shared G. Atwal· 1 shared G. Bashiri· 1 shared G. Getz· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. Danyi

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Author profile →

3 papers

Recent·Most cited

Japanese Encephalitis Virus NS1 Protein regulates the expression and distribution of TIM-1 to promote viral infection

L. Zhenjie, R. Cao, S. Xie, J. Pan, X. Yang, W. Jiao

This study shows that JEV NS1 protein increases TIM-1 expression and shifts its distribution to the cytoplasm, enhancing viral infection by reducing TIM-1-mediated restriction.

bioRxiv · Dec 15, 2022 · PreprintMicrobiology

Allosteric inhibition of Staphylococcus aureus MenD by 1,4-dihydroxy naphthoic acid: A feedback inhibition mechanism of the menaquinone biosynthesis pathway

T. Stanborough, N. A. T. Ho, E. M. M. Bulloch, G. Bashiri, S. S. Dawes, E. W. Akazong, J. Titterington, T. M. Allison, W. Jiao, J. M. Johnston

This study shows that DHNA allosterically inhibits Sau-MenD, a key enzyme in MK biosynthesis, and demonstrates conserved feedback inhibition in Staphylococcus aureus.

bioRxiv · Jul 12, 2022Biochemistry

A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations

W. Jiao, G. Atwal, P. Polak, R. Karlic, E. Cuppen, A. Danyi, J. de Ridder, C. van Herpen, M. P. Lolkema, N. Steeghs, G. Getz, Q. D. Morris, L. D. Stein, PCAWG Pathology & Clinical Correlates Working Grp, ICGC/TCGA Pan-cancer Analysis of Whole Genomes Net

This paper develops a deep learning classifier using whole genome sequencing data to distinguish cancer types and identify metastatic origins.

bioRxiv · Jan 22, 2019 · PreprintCancer Biology