Author
Peking UniversityORCID 0000-0002-5380-6281Unclaimed ORCID profile · follow to get notified of new preprints
10 papers
Recent·Most cited
Mingyue Lv, Ruyi Cai, Renzimo Zhang, Xiju Xia, Xuelin Li, Yipan Wang, Huan Wang, Jianzhi Zeng, Yifei Xue, Lanqun Mao, Yulong Li
The paper develops a GRAB sensor to monitor octopamine release in Drosophila and reveals its role in aversive learning through a monoamine relay circuit.
National Science Review · Mar 25, 2024Peer-reviewedNeuroscience
Jianzhi Zeng, Xuelin Li, Renzimo Zhang, Mingyue Lv, Yipan Wang, Ke Tan, Xiju Xia, Jinxia Wan, Miao Jing, Xiuning Zhang, Yu Li, Yang Yang, Jun Chu, Yan Li, Yulong Li
The paper shows that serotonin signaling modulates the coincidence time window in Drosophila associative learning by a feedback circuit involving ACh and 5-HT.
Neuron · Jan 26, 2023Peer-reviewedNeuroscience
Liang Wang, Chunling Wu, Wanling Peng, Ziliang Zhou, Jianzhi Zeng, Xuelin Li, Yini Yang, Shuguang Yu, Ye Zou, Mian Song Huang, Chang Liu, Yefei Chen, Yi Li, Panpan Ti, Wenfeng Liu, , Jun Chu
This paper develops a new genetically encoded fluorescent cAMP indicator, G-Flamp1, which shows high sensitivity, brightness, and fast response kinetics for in vivo cAMP imaging.
Nature Communications · Sep 12, 2022Peer-reviewedMolecular Biology
Aaron Stahl, Nathaniel C. Noyes, Tamara Boto, Valentina Botero, Connor N. Broyles, Miao Jing, Jianzhi Zeng, Lanikea B. King, Yulong Li, Ronald L. Davis, Seth M. Tomchik
The paper shows that associative learning induces compartmentalized, bidirectional plasticity of acetylcholine release in Drosophila mushroom body axons, with valence-dependent effects and distinct molecular mechanisms.
eLife · Mar 14, 2022Peer-reviewedNeuroscience
Qian Cheng, Zhaofa Wu, Rongbo Sun, Huasheng Yu, Jianzhi Zeng, Yi Rao, Yulong Li
The paper identifies SLC35D3 as a vesicular transporter for UDP-glucose through localization, proteomics, and metabolite profiling in neurons.
eLife · Jul 16, 2021Peer-reviewedNeuroscience
Jinxia Wan, Wanling Peng, Xuelin Li, Tongrui Qian, Kun Song, Jianzhi Zeng, Fei Deng, Suyu Hao, Jiesi Feng, Peng Zhang, Yajun Zhang, Jing Zou, Sunlei Pan, Mimi Shin, B. Jill Venton, , Yulong Li
This paper develops a genetically encoded sensor to measure serotonin dynamics in vivo, showing its effectiveness in both flies and mice across various conditions.
Nature Neuroscience · Apr 5, 2021Peer-reviewedNeuroscience
Fangmiao Sun, Jingheng Zhou, Bing Dai, Tongrui Qian, Jianzhi Zeng, Xuelin Li, Yizhou Zhuo, Yajun Zhang, Yipan Wang, Qian Cheng, Ke Tan, Jiesi Feng, Hui Dong, Dayu Lin, Guohong Cui, Yulong Li
The paper develops and optimizes GRABDA fluorescent sensors to monitor dopaminergic activity with high sensitivity and resolution in vivo.
Nature Methods · Oct 21, 2020Peer-reviewedNeuroscience
Miao Jing, Yuexuan Li, Jianzhi Zeng, Pengcheng Huang, Miguel Skirzewski, Ornela Kljakic, Wanling Peng, Tongrui Qian, Ke Tan, Jing Zou, Simon Trinh, Runlong Wu, Shichen Zhang, Sunlei Pan, Samuel Andrew Hires, , Yulong Li
The paper develops an optimized GRABACh sensor to measure in vivo cholinergic activity in Drosophila and mice, revealing compartmental ACh signals and single-trial dynamics.
Nature Methods · Sep 28, 2020Peer-reviewedNeuroscience
Miao Jing, Peng Zhang, Guangfu Wang, Jiesi Feng, Lukas Mesik, Jianzhi Zeng, Huoqing Jiang, Shaohua Wang, Jess C Looby, Nick A. Guagliardo, Linda W. Langma, Ju Lu, Yi Zuo, David A. Talmage, Lorna W. Role, , Yulong Li
This paper develops GACh sensors, genetically-encoded fluorescent indicators for acetylcholine, validated across multiple cell types and species, revealing new insights into cholinergic transmission.
Nature Biotechnology · Jul 9, 2018Peer-reviewedNeuroscience
Fangmiao Sun, Jianzhi Zeng, Miao Jing, Jingheng Zhou, Jiesi Feng, Scott F. Owen, Yichen Luo, Funing Li, Huan Wang, Takashi Yamaguchi, Zi-hao Yong, Yijing Gao, Wanling Peng, Lizhao Wang, Siyu Zhang, , Yulong Li
This paper develops GRABDA sensors to measure dopamine with high precision in multiple organisms during complex behaviors.
Cell · Jul 1, 2018Peer-reviewedNeuroscience