MULTISCALE INTEGRATIVE NEUROENGINEERING LABORATORY
MINE-Lab @Innovation for High-throughput Healthcare Technology
We are an interdisciplinary Biomedical Engineering Lab based in City University of Hong Kong. We work at the convergence between neuroscience and engineering by taking advantage of an interdisciplinary approach to solve important emerging problems in translational neuroengineering, especially in the development of high-throughput technologies and screening platforms for the discovery of novel therapeutic targets.
Closed-loop Electronics for Smart Neurotherapy. An autonomous and adaptive therapeutic system is created by a hydrogel electronic device that performs mutually interactive electrical recording and controlled drug release. | Nano-structured biochips are interfaced with biological system for advanced biosensing with subcellular resolution. | High-throughput whole brain activity mapping are combined with machine learning for system neuropharmacology and drug discovery for brain diseases, including epilepsy and Parkinson's Disease. | Brain-on-a-chip: large-scale ex vivo creation of 3D neural tissue blocks resolves new insights to chemotactic neural development. | Multiplexed gene-silencing are performed at single-cell level to enable combinatorial screening of siRNA cocktails to formulate more effective siRNA drugs. | A hydrogel electronic patch is created to enhance transdermal delivery of nucleic acid to immune cells for improving cancer immunotherapy. |
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A live neuronal diode is formed by patterning hippocampal neurons to facilitate directional signal processing and transmission to facilitate the robotic biohybridization for more natural learning and decision making. |
OPPORTUNITIES @ MINE-LAB
Post-Doctoral Fellow
We are seeking self-motivated and detail-oriented candidates at Post-doctoral level. The ideal candidate should have a background in one of the following areas:
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conductive hydrogel
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bioelectronics
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electrochemical biosensing
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transcriptomics technology
The candidates should also have the capability to lead research projects, to carry out experiment work, data collection and analysis, and to prepare reports for publications.
RESEARCH
BIOHYBRID ELECTRONICS
Cutting-edge innovation in biohybrid electronics offers new possibilities for diagnosis, treatment, and patient care, because of their ability to merge biological and electronic systems, providing unique advantages including: 1) responsive interaction with biological elements in living organisms, 2) substantially enhanced biocompatibility to reduce immune responses and improving long-term functionality, 3) flexible and adaptable construction to for functional and structural conformation to complex in vivo environments, 4) possibility to detect and manipulate multi-modal biological signals to allow personalized/precision medicine.
CONDUCTIVE and SEMI-CONDUCTIVE HYDROGEL for MULTI-MODAL BIOSENSING and SMART THERAPY
ORGANIC ELECTRONIC DEVICES for ENHANCED IN-BODY GENE DELIVERY and GENE EDITING
ADVANCED BRAIN-COMPUTER-INTERFACES
Advanced brain-computer interfaces (BCIs) are rapidly evolving, we are working to create BCIs 1) to improve signal acquisition for capturing detailed brain activity; 2) to develop non-invasive brain modulation methods; 3) to use sophisticated algorithms to decode brain signals allowing for precise prosthetic control or communication aids; 4) to leverage neuroplasticity for rehabilitation, motor restoration and even mood and cognitive enhancement.
BIOHYBRID ELECTRONICS FOR NEXT-GENERATION BCI
Novel biohybrid electronics enables the creation of next-generation brain-computer-interface for both therapy and meta-interaction.
TECHNOLOGY FOR REMOTE CONTROL OF BRAIN FUNCTION
The capability to modulate neural processes is crucial for studying brain function. We develop technologies to address this challenge as exemplified by a success in remote control of rodent brain by using nanofabrication and upconversion techniques.
HIGH-THROUGHPUT FUNCTIONAL SCREENING TECHNOLOGY
Different high-throughput technologies are developed at MINE-lab for therapeutics or genetics discovery. Our approach is to rapidly assess the biological activity of a large number of potent elements, which would otherwise be time or cost prohibitive for existing methods.
HIGH-THROUGHPUT BAMING AND MACHINE LEARNING
Combination of whole brain activity mapping with machine learning for a shortcut for drug discovery and repositioning.
NANOPROBE STRUCTURED BIOCHIP
Nanoprobe structured Biochip Technology enables low-cost solution for diagnostic transcriptomic analysis.
PUBLICATIONS
(List of selected publications after 2022, check our google scholar page for a complete list of publications)
“In vivo gene editing of T-cells for enhanced cancer immunotherapy”. Jin Qu, Yuan Wang, Mingxue Wang, Xingdao He, Weibin Jia, Cheuk Yin Li, Tianlong Zhang, Zixun Wang, Wei Li, Becki Yi Kuang, Peng Shi*. Nature Communications 2024 (accepted).
“Multifunctional Hydrogel Electronics for Closed-loop Antiepileptic Treatment”. Jin Qu, Kai Xie, Shu Chen, Xingdao He, Yuan Wang, Matthew Chamberlin, Xi Zhao, Guangyu Zhu, Chenjie Xu, Peng Shi*. Science Advances 2024 (in press).
“Single-cell Encoded Gene Silencing for High-throughput Combinatorial siRNA Screening”. Feng Guo, Xianglin Ji, Chuxiao Xiong, Hailiang Sun, Zhenghua Liang, Richard Yan-Do, Baowen Gai, Feng Gao, Linfeng Huang, Zhongping Li, Becki Yi Kuang, Peng Shi*. Nature Communications 2024 10.1038/s41467-024-53419-7.
“Few-Shot Meta-Learning Applied to Whole Brain Activity Maps Improves Systems Neuropharmacology and Drug Discovery”. Xuan Luo, Yanyun Ding, Yi Cao, Zhen Liu, Wenchong Zhang, Shangzhi Zeng, Shuk Han Cheng, Honglin Li, Stephen J. Haggarty, Xin Wang, Jin Zhang*, Peng Shi*. iScience 2024, 110875.
“Deciphering the Temporal-Spatial Interactive Heterogeneity of Long Non-Coding RNAs and RNA-Binding Proteins in Living Cells at Single-Cell Resolution”. Deyuan Yang, Cheng Li, Yutong Kong, Yian Pei, Bin Miao, Gaole Dai, Pi Ding, Peng Shi*, Zixun Wang*, Renjun Pei*. JACS 146 (30), 20878-20890, 2024.
“Biodegradable Microembolics with Nanografted Polyanions Enable High-Efficiency Drug Loading and Sustained Deep-Tumor Drug Penetration for Locoregional Chemoembolization Treatment”. Yutao Ma, Zhihua Li, Yucheng Luo, Yao Chen, Le Ma, Xiaoya Liu, Jingyu Xiao, Man Huang, Yingnan Li, Hongliang Jiang, Meijuan Wang, Xiaoqian Wang, Jiangtao Li, Jian Kong, Peng Shi, Hanry Yu, Xingyu Jiang, Qiongyu Guo. ACS Nano 18 (28), 18211-18229, 2024.
“Transdermal microarrayed electroporation for enhanced cancer immunotherapy based on DNA vaccination”. Yuan Wang, Jin Qu, Chuxiao Xiong, Bing Chen, Kai Xie, Mingxue Wang, Zhen Liu, Yue Zhao, Zhenghua Liang, Feng Wang, Tianlong Zhang, Guangyu Zhu, Yi Becki Kuang, Peng Shi*. PNAS 2024, 121 (25), e2322264121.
“Vertebrates on a Chip: Noninvasive Electrical and Optical Mapping of Whole Brain Activity Associated with Pharmacological Treatments”. Zhen Liu, Xuan Luo, Richard Yan-Do, Yuan Wang, Xi Xie, Zhongping Li, Shuk Han Cheng, Peng Shi*. ACS Chemical Neuroscience 2024, 15, 2121−2131.
“Fabrication of Multiple-Channel Electrochemical Microneedle Electrode Array via Separated Functionalization and Assembly Method”. Xin-Shuo Huang, Shuang Huang, Shan-Tao Zheng, Bao-Ming Liang, Tao Zhang, Wan Yue, Fan-Mao Liu, Peng Shi, Xi Xie, Hui-Jiuan Chen. Biosensors 2024, 2310461.
“Self-Implantable Core-Shell Microneedle Patch for Long‐Acting Treatment of Keratitis via Programmed Drug Release”. Xue Jiang, Yinli Jin, Yongnian Zeng, Peng Shi, Wei Li. Small 2024, 2310461.
“A high-current hydrogel generator with engineered mechanoionic asymmetry”. Hongzhen Liu, Xianglin Ji, Zihao Guo, Xi Wei, Jinchen Fan, Peng Shi, Xiong Pu, Feng Gong, Lizhi Xu. Nature Communications 2024, 15 (1), 1494.
“Machine Learning-coupled Vertical Graphene Triboelectric Pressure Sensors Array as Artificial Tactile Receptor for Finger Action Recognition”. Tiancheng Sun, Chuanjie Yao, Zhengjie Liu, Shuang Huang, Xinshuo Huang, Shantao Zheng, Jing Liu, Peng Shi, Tao Zhang, Houhua Chen, Hui-jiuan Chen, Xi Xie. Nano Energy 2024, 109395.
“Exploring Diamond Nanoneedle Arrays: Fabrication and Emerging Applications in Biomedical Engineering”. Yang Yang, Zixun Wang, Peng Shi*, Wenjun Zhang*. Accounts of Materials Research 2024, 5, 3, 259–270.
“Amplification-free, sequencing-free, detection of viral RNAs with variant specification by discrete nanocounting”. Zixun Wang, Xi Zhao, Wan-Mui Chan, Xianglin Ji, Linfeng Huang, Wei Li, Wenjun Zhang, Kelvin Kai-Wang To*, Peng Shi*. Advanced Functional Materials, 2024 2310157.
“Adenovirus-associated anti-miRNA-214 regulates bone metabolism and prevents local osteoporosis in rats”. Cheng Wang, Peng Wang, Feng Li, Yang Li, Minwei Zhao, Hui Feng, Haoye Meng, Junyang Li, Peng Shi, Jiang Peng, Hua Tian. Frontiers in Bioengineering and Biotechnology 11, 1164252, 2023.
“Study on the association of the microstructure and bone metabolism in the osteoporotic femoral head”. Cheng Wang, Peng Wang, Feng Li, Yang Li, Minwei Zhao, Hui Feng, Haoye Meng, Junyang Li, Peng Shi, Jiang Peng, Hua Tian. Molecular Biology Reports, 50 (9), 7437-7444, 2023.
“Discrete single-cell microRNA analysis for phenotyping the heterogeneity of acute myeloid leukemia”. Xi Zhao, Zixun Wang, Xianglin Ji, Shuyu Bu, Peilin Fang, Yuan Wang, Mingxue Wang, Yang Yang, Wenjun Zhang*, Anskar YH Leung*, Peng Shi*. Biomaterials 291, 121869, 2022.
“Biointerface design for vertical nanoprobes”. Roey Elnathan, Maria Grazia Barbato, Xiangfu Guo, Anna Mariano, Zixun Wang, Francesca Santoro*, Peng Shi*, Nicolas H Voelcker*, Xi Xie*, Jennifer L Young*, Yunlong Zhao*, Wenting Zhao*, Ciro Chiappini*. Nature Reviews Materials 2022, doi.org/10.1038/s41578-022-00464-7 (Cover of the issue).
“Electrically switched underwater capillary adhesion”. Huanxi Zheng, Jing Li, Yongsen Zhou, Chao Zhang, Wanghuai Xu, Yajun Deng, Jiaqian Li, Shile Feng, Zhiran Yi, Xiaofeng Zhou, Xianglin Ji, Peng Shi, Zuankai Wang*. Nature communications 13: 4584 (2022).
“Recent advances in cellular optogenetics for photomedicine”. Bing Chen, Meihui Cui, Yuan Wang, Peng Shi*, Hanjie Wang*, Feng Wang*. Advanced Drug Delivery Reviews 2022, Volume 188, 114457.
“3D Upconversion Barcodes for Combinatory Wireless Neuromodulation in Behaving Animals”. Xudong Lin, Tianying Sun, Minghui Tang, Anqi Yang, Richard YanDo, Da Chen, Yaobin Gao, Xin Duan, Ji‐Jung Kai, Feng Wang*, Peng Shi*. Advanced Healthcare Materials 2022, doi.org/10.1002/adhm.202200304.
“Sequencing-free Analysis of Multiple Methylations on Gene-specific mRNAs”. Zhao, Xi; JI, Xianglin; Qu, Jin; Xie, Kai; Wang, Zixun; Fang, Peilin; Wang, Yuan; Wan, Youyang; Yang, Yang; Zhang, Wenjun*; Shi, Peng*. JACS 2022, doi.org/10.1021/jacs.2c01036.
“Fish Capsules: A System for High-Throughput Screening of Combinatorial Drugs”. Xudong Lin Minghui Tang, Xin Duan, Anqi Yang, Shijie He, Yajing Zhou, Yuxin Liu, Lu Zhang, Xuan Luo, Peng Shi*, Honglin Li*, Xudong Lin*. Advanced Science 2022 doi.org/10.1002/advs.202104449.
“Injectable Black Phosphorus Nanosheets for Wireless Nongenetic Neural Stimulation”. Minghui Tang, Xiaoge Zhang, Anqi Yang, Yuxin Liu, Kai Xie, Yajing Zhou, Chong Wang, Jie Liu*, Peng Shi*, Xudong Lin*. Small 2021 2105388.
MEMEMBERS
POST-DOCTORAL FELLOWS
RICHARD YAN-DO
Post-Doctoral Fellow
Ph.D. Pharmacology (University of Alberta)
B.Sc. Pharmacology (University of Alberta)
WEIBIN JIA
Post-Doctoral Fellow
PhD., Shandong University
B.S., Northwest A&F University
JIN QU
Post-Doctoral Fellow
Ph.D. City University of Hong Kong
MSc in Chemistry, Xi'an Jiaotong University
BSc in Chemistry, Northwest University
XUAN LUO
Post-Doctoral Fellow
Ph.D., City University of Hong Kong
GRADUATE STUDENTS
YOUYANG WAN
Ph.D. Candidate
B.E., Shanghai university
XINGDAO HE
Ph.D. Candidate
B.M., Wuhan University
HAILIANG SUN
Ph.D. Candidate
M.S., Chinese University of Hong Kong
B.E., Shandong university
LEI LEI
Ph.D. Candidate
MMed., Peking University
BMed., Xi’an Jiao Tong University
YUTAO MA
Ph.D. Candidate (joint student, SUSTEC)
M.S., Huazhong Agricultural University
B.E., Anhui Normal University
CHUXIAO XIONG
Ph.D Candidate
M.S., Wuhan University
B.E., Wuhan university
FENG GUO
Ph.D. Candidate
M.S., Jilin University
B.E., Jilin university
MATTHEW MILTON CHAMBERLIN
Ph.D. Candidate
B.E., City University of Hong Kong
ZIYUAN ZHOU
Ph.D. Student
MS, Imperial College
BE, King’s College London
HASNAIN JAN
Ph.D. Student
M.Phil. Quaid-e-Azam University, Pakistan
BS. Bacha Khan University, Pakistan
ALUMNI
WEI LI (PH.D. 2015)
Professor, School of Pharmacology, Wuhan University
XUNDONG LIN (PH.D. 2017)
Associate Professor, School of Biomedical Engineering, Sun Yat-sun University
YING WANG (PH.D. 2018)
Associate Professor, BeiHang University
BINGZHE XU (PH.D. 2018)
Associate Professor, School of Biomedical Engineering, Sun Yat-sun University
WENCONG ZHANG (PH.D. 2018)
Resident Doctor, Tuen Mun Hospital
ZHEN XU (PH.D. 2018)
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KAI XIE (PH.D. 2019)
PostDoc, Oxford University
ZIXUN WANG (PH.D. 2019)
Associate Professor, CAS
HAIBIN YUE (PH.D. 2019)
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XI ZHAO (PH.D. 2021)
Associate Professor, CAS
XUAN LUO (PH.D. 2021)
PostDoc CityU HK
YUAN WANG (PH.D. 2022)
PostDoc, Harvard University
PEILIN FANG (PH.D. 2022)
PostDoc, CityU HK
XIANGLIN JI (PH.D. 2022)
PostDoc, HKU
JIN QU (PH.D. 2022)
PostDoc, CityU HK
ZHEN LIU (PH.D. 2023)
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CHONG WANG (POSTDOC, 2016)
Associate Professor, Dongguan University of Technology