Author

Qin-Qin Wang

Shanghai Jiao Tong University

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

Biology Disciplines

Click to filter author papers

Systems Biology· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Chen LiiD· 2 shared Huiping Zhang· 2 shared Jingquan LiiD· 2 shared Lei GuiD· 2 shared Xumiao Li· 2 shared Benpeng Zhao· 1 shared Bin Yang· 1 shared Chaoqun Dai· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Chen LiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Peptide Information Compression Technology (PICT): A New Frontier in Therapeutic Peptide Discovery

Hong Wang, Zhu-Yin Wang, Wei-Ming Jiang, Qin-Qin Wang, Lin Miao, Deng Wang, Haitao Wang, Shiu-Feng Tung, Jin-Rui Yang, Bin Yang, Xu-Bo Liang, Z.-Y. Li, Xueping Wang, Sheng Zou, Feng He, , Xiang-Qun Li

This paper introduces PICT, a new technology for efficient therapeutic peptide discovery, and demonstrates its application in identifying active molecules with low nanomolar to micromolar potency.

bioRxiv · Dec 10, 2024 · PreprintMolecular Biology

Ultrasensitive Proteomics Depicted an In-depth Landscape for Mouse Embryo

Lei Gu, Xumiao Li, Wencheng Zhu, Yi Shen, Qin-Qin Wang, Huiping Zhang, Jingquan Li, Ziyi Li, Zhen Liu, Chen Li, Hui Wang

The paper develops ultrasensitive proteome technologies for single-cell and low-input mouse embryos, enabling high-depth protein identification with minimal starting material.

bioRxiv · Jan 6, 2023 · PreprintSystems Biology

Increasing the sensitivity, recovery, and integrality of spatially resolved proteomics by LCM-MTA

Lei Gu, Xumiao Li, Ziyi Li, Qin-Qin Wang, Kuo Zheng, Guanyu Yu, Chaoqun Dai, Jingquan Li, Benpeng Zhao, Huiping Zhang, Qizhi He, Wei Zhang, Chen Li, Hui Wang

This paper introduces LCM-MTA, a method for spatially resolved proteomics of trace FFPE tissues, improving sensitivity, recovery, and integrality.

bioRxiv · Aug 21, 2022 · PreprintSystems Biology