Author

Hanbin Ma

Chinese Academy of SciencesORCID 0000-0002-7629-2287Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Anqi Ding· 1 shared Chuanxi Huang· 1 shared Chunyu Chang· 1 shared Fuchu He· 1 shared Hu SiD· 1 shared Hu ZhouiD· 1 shared Hui ZhangiD· 1 shared Jiajian JiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Anqi Ding

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2 papers

Recent·Most cited

AM-DMF-SCP-pro: An Ultrafast and Streamlined Nanolitre-Scale Lab-on-a-Chip Platform for Single-Cell Proteomics and Tumor Microenvironment Profiling

Kai Jin, Zhicheng Yang, Anqi Ding, Rong Wang, Yifan Ma, Yue Wang, Minchu Tang, Yong Wu, Qian Liu, Jiajian Ji, Chunyu Chang, Hu S, Wenfei Dong, Jian Ding, Yuehua Chen, , Hu Zhou

AM-DMF-SCP-pro enables rapid, low-background single-cell proteome profiling in complex samples by streamlining sample preparation and reducing background interference.

bioRxiv · May 4, 2026 · PreprintSystems Biology

High-throughput Single-cell Proteomics Enabled by an Integrated Hyperplexing and Automatic Labelling Approach without Fractionation

Hui Zhang, Qing Zeng, Kai Jin, Chuanxi Huang, Xing Liu, Jing Yang, Hanbin Ma, Fuchu He, Yun Yang

This paper introduces Integral-Hyperplex, a method combining isobaric tags and tandem mass tags to increase single-cell proteomics throughput by 30-fold, validated through quantification experiments and automated labeling.

bioRxiv · Jun 22, 2025 · PreprintBiochemistry