Author

Qingrun Li

Chinese Academy of SciencesORCID 0000-0002-1644-0508Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:proteomics· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:development & morphogenesis· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:metabolism & bioenergetics· 1 Organism:mouse· 1

Frequent Co-Authors

Rong ZengiD· 2 shared Baicheng Chen· 1 shared Bingjie ZhangiD· 1 shared Boxun LuiD· 1 shared Canrong LiiD· 1 shared Fan YangiD· 1 shared Fang-Ying Xia· 1 shared Feng-Zhi CheniD· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCell Biology

Rong ZengORCID

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3 papers

Recent·Most cited

The metabolic enzyme GYS1 condenses with NONO/p54nrb in the nucleus to spatiotemporally regulate glycogenesis and myogenic differentiation

Shujun Peng, Canrong Li, Yifan Wang, Yuguo Yi, Xinyu Chen, Yujing Yin, Fan Yang, Feng-Zhi Chen, Yingyi Ouyang, Haolun Xu, Baicheng Chen, Haowen Shi, Qingrun Li, Yu Chen Zhao, Lin Feng, , Xiaoduo Xie

This study shows that GYS1 forms nuclear condensates with NONO/p54nrb to regulate glycogenesis and myogenic differentiation.

Cell Death and Differentiation · Apr 8, 2025Peer-reviewedCell Biology

Post-translational modifications orchestrate the intrinsic signaling bias of orphan receptor GPR52

Bingjie Zhang, Wei Ge, Mengna Ma, Shanshan Li, Jie Yu, Guang Yang, Huilan Wang, Jingwen Li, Qingrun Li, Rong Zeng, Boxun Lu, Wenqing Shui

This study identifies how N-glycosylation and phosphorylation in specific motifs of GPR52 differentially regulate its signaling bias and cellular function.

Nature Chemical Biology · Mar 14, 2025Peer-reviewedCell Biology

Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites

Qingrun Li, Shisheng Wang, Hongwen Zhu, Fang-Ying Xia, Peter Roepstorff, Jiarui Wu, Rong Zeng

This paper demonstrates that data-independent acquisition mass spectrometry can accurately localize phosphosites by analyzing site-determining ions.

bioRxiv · Nov 7, 2018 · PreprintBioinformatics