Author

J. Gai

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 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

G. Li· 2 shared A. M. Hurd· 1 shared D. Miao· 1 shared D. Shah· 1 shared H. Cao· 1 shared H. Chen· 1 shared H. Zhang· 1 shared J. Fan· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersMicrobiology

G. Li

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An intergeneric recombinant geminivirus causes soybean stay-green disease

Y. Xu, R. Cheng, R. Mei, R. Yan, H. Chen, D. Miao, L. Cai, J. Fan, G. Li, R. Xu, W. Lu, Y. Gao, W. Ye, S. Su, T. Han, , X. Tao

This paper identifies a novel intergeneric recombinant geminivirus as the cause of soybean stay-green disease, showing it induces symptoms and can be detected in seed coats but not seeds.

bioRxiv · Feb 9, 2022 · PreprintMicrobiology

A potent neutralizing nanobody against SARS-CoV-2 with inhaled delivery potential

J. Gai, L. Ma, G. Li, M. Zhu, P. Qiao, X. Li, H. Zhang, Y. Zhang, Y. Chen, W. Ji, H. Zhang, H. Cao, X. Li, R. Gong, Y. Wan

The paper identifies a potent neutralizing nanobody against SARS-CoV-2 with high activity and stability for inhaled delivery.

bioRxiv · Aug 9, 2020Bioengineering

Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response

L. Xiang, T. M. Nolan, Y. Bao, M. Elmore, T. Tuel, J. Gai, D. Shah, N. M. Huser, A. M. Hurd, S. A. McLaughlin, S. H. Howell, J. W. Walley, Y. Yin, L. Tang

The paper introduces RoAD, a robotic system for automated BR and drought response experiments in Arabidopsis and maize, using imaging and machine learning to measure plant traits.

bioRxiv · Jun 1, 2020Plant Biology