Author

Xiaojie Li

Sichuan UniversityORCID 0000-0002-9064-0882Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1 Pharmacology & Toxicology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:behavioral assay· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Qixing ZhongiD· 2 shared Yao He· 2 shared Haotian FengiD· 1 shared Heqian ZhangiD· 1 shared J. ZuiD· 1 shared Jiakun JiangiD· 1 shared Jian HeiD· 1 shared Jiaquan HuangiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPharmacology & Toxicology

Qixing ZhongORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Synergistic neuroprotective and cognitive-enhancing effects of Walnut Peptide and Theanine in human brain organoid and mouse stress models

Qixing Zhong, Qinxi Li, Xiuzhen Jia, Liang Hu, Yingqian Zhang, J. Zu, Yao He, Xiaojie Li, Yu Wang, Haotian Feng, Jingyu Hao, Zifu Zhao, Jian He, Zhihui Zhong

This study shows that Walnut Peptide and Theanine reduce stress and improve cognition in human brain organoids and mice by regulating neurotransmitters and SERT/BDNF expression.

bioRxiv · Feb 26, 2025 · PreprintPharmacology & Toxicology

Exploring Hippocampal Vulnerability: Diminished Angiogenic Capacity in the Hippocampus Compared to the Cortex

Xiaojie Li, Nanjing Li, Yao He, Qixing Zhong, Zhihui Zhong

The paper identifies reduced angiogenic capacity in the hippocampus compared to the cortex by analyzing gene expression in BBB-associated cells and validating findings in animal models.

bioRxiv · Feb 25, 2025 · PreprintNeuroscience

Machine learning-guided directed evolution for the development of small-molecule antibiotics originating from antimicrobial peptides

Heqian Zhang, Yihan Wang, Pengtao Huang, Yanran Zhu, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

This study uses machine learning-guided directed evolution to develop a peptide antibiotic from antimicrobial peptides, showing improved antimicrobial activity and therapeutic potential.

bioRxiv · Nov 3, 2022 · PreprintSynthetic Biology