Author

Shuai Zhang

Cornell University

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

Same name, identified by ORCID

Biology Disciplines

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Microbiology· 2 Biochemistry· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Research Focus:host-pathogen & immune response· 2 Assay:metagenomics· 2 Research Focus:cell signaling & trafficking· 1 Organism:chicken / avian· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Cheng-Lian Man· 2 shared Cui-Cui Zhang· 2 shared Fei ZhangiD· 2 shared Ke-Ji Quan· 2 shared Mei-Na LiiD· 2 shared Nan Wang· 2 shared Pei-Zhuang Qiao· 2 shared Qiang Han· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMicrobiology

Cheng-Lian Man

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4 papers

Recent·Most cited

Coenzyme A is a redox sensing cofactor for malic enzyme 2 regulating oxidative stress and mitochondrial metabolism

Wenzhe Chen, Ornella D. Nelson, Xiaorong Li, Manfeng Zhang, Xuan Lu, Tao Yu, Cong-Hui Yao, Shuai Zhang, Yugang Zhang, Adam Francisco, Byunghyun Ahn, Em Lundberg, Minsu Song, Janane F. Rahbani, Zhongzhou Chen, Hening Lin

This study identifies CoA as a redox-sensing cofactor for ME2, showing it regulates oxidative stress and mitochondrial metabolism through conformational changes and NADPH production.

bioRxiv · Apr 28, 2026 · PreprintBiochemistry

SUMO E1 covalent allosteric inhibitors modulate polyamine synthesis via the MAT2A-AdoMetDC axis

Shuai Zhang, Jinzhu Li, Zhiying Wang, Yutong Jiao, Xiaoyu Shi, Yuanbao Ai, Juanping Wang, Sen Liu

The paper identifies SUMO E1 covalent allosteric inhibitors that modulate polyamine synthesis through the MAT2A-AdoMetDC axis and show synergistic effects with polyamine inhibitors in T47D cells.

Bioorganic Chemistry · Aug 29, 2025Peer-reviewedPharmacology & Toxicology

16S rRNA gene sequencing for bacterial identification and infectious disease diagnosis

Meina Li, Qiang Han, Nan Wang, Ting Wang, Xue-Ming You, Shuai Zhang, Cui-Cui Zhang, Yong-Qiang Shi, Pei-Zhuang Qiao, Cheng-Lian Man, Teng Feng, Yue-Yue Li, Zhuang Zhu, Ke-Ji Quan, Teng-Lin Xu, Fei Zhang

This study compares 16S rRNA gene sequencing with conventional PCR for bacterial identification and disease diagnosis, finding that sequencing is more sensitive and effective in detecting pathogens and distinguishing healthy from diseased samples.

Biochemical and Biophysical Research Communications · Nov 13, 2024Peer-reviewedMicrobiology

A detailed analysis of 16S rRNA gene sequencing and conventional PCR-based testing for the diagnosis of bacterial pathogens and discovery of novel bacteria

Mei-Na Li, Ting Wang, Nan Wang, Qiang Han, Xue-Ming You, Shuai Zhang, Cui-Cui Zhang, Yong-Qiang Shi, Pei-Zhuang Qiao, Cheng-Lian Man, Teng Feng, Yue-Yue Li, Zhuang Zhu, Ke-Ji Quan, Teng-Lin Xu, Fei Zhang

This study compares 16S rRNA gene sequencing and conventional PCR for diagnosing bacterial pathogens in chickens with swollen head syndrome, finding that sequencing is more reliable and can detect novel bacteria.

Antonie van Leeuwenhoek · Jul 16, 2024Peer-reviewedMicrobiology