People

Da Han

dahan@sjtu.edu.cn

Biography

Prof. Da Han received his doctoral degree from the University of Florida in 2013 and worked as a scientist in Intel Corporation until 2018. He then joined the Institute of Molecular Medicine of Shanghai Jiao Tong University as a full professor. In 2022, he became a professor in Hangzhou Institute of Medicine, Chinese Academy of Sciences.

Recipient of the National Outstanding Young Scientist Fund. Principal Investigator of the "Synthetic Biology" under the National Key Research and Development Program of China. Principal Investigator of the "AI for Biology" under the National Natural Science Foundation of China.

Awarded the Young Chemist Award from the Chinese Chemical Society, the Emerging Investigator Award from the Chinese Chemical Society, and selected for the global authoritative list of young scientific and technological innovators "35 Innovators Under 35" by MIT Technology Review.

As the first or corresponding author, published over 70 papers in journals such as Science, Nature Nanotechnology, Nature Chemistry, Journal of the American Chemical Society, and Angewandte Chemie International Edition, and participated in the writing of two monographs published by Springer.

Research Interests

Mainly engaged in research related to nucleic acid chemistry and molecular diagnostics, developing intelligent nucleic acid tools to address challenging issues in cell analysis and disease diagnosis in biomedicine. Focusing on the study of early diagnosis and screening methods for malignant tumors, combining artificial intelligence with molecular engineering technology, has developed a liquid biopsy marker combination and detection technology for precise diagnosis of early-stage lung and pancreatic cancers.

Ⅰ. Structure-activity analysis of functional nucleic acids

Our research focuses on the development of 'structure- activity' analysis technologies for functional nucleic acids, aimed at guiding the modification and regulation of these molecules. Additionally, we engaged in the creation of nucleic acid-based artificial cell systems and exploring the role of membraneless organelles within biological systems. We also explore the structure and function of disease-related nucleic acids, with the ultimate goal of developing specific drugs targeting these nucleic acid structures.

Ⅱ.   DNA-based computation and intelligent diagnosis

Our research is dedicated to identifying diseases characterized by high-specific biomarkers and to explore the underlying biological mechanisms of these markers. This involves an in-depth analysis of the molecular and cellular pathways associated with these biomarkers, which can provide crucial insights into the progression and pathology of various diseases. Furthermore, our work extends to the development of innovative diagnostic and therapeutic methods, such as DNA computing and molecular imaging. These technologies are designed to enhance intelligent diagnosis and personalized medical treatment, particularly in the context of pathogenic microorganisms, malignant tumors, and major infectious diseases.

Ⅲ.  Develop intelligent nucleic acid device

Our research focuses on constructing intelligent nucleic acid devices for precise identification of tumor cells. The goal is to achieve targeted protein degradation within these cells, thereby paving the way for the development of intelligent cancer therapies.

Selected Publications

  • Diao N, Hou J, Peng X, Wang Y, He A, Gao H, Yang L, Guo P, Wang J* and Han D*. Multiplexed and Quantitative Imaging of Live-Cell Membrane Proteins by a Precise and Controllable DNA-Encoded Amplification Reaction. Angewandte Chemie International Edition. 2024, e202406330. https://doi.org/10.1002/anie.202406330  *corresponding author

  • He A, Wan L, Zhang Y, Yan Z, Guo P*, Han D* and Tan W*. Structure-based investigation of a DNA aptamer targeting PTK7 reveals an intricate 3D fold guiding functional optimization. Proceedings of the National Academy of Sciences of the United States of America. 2024, 121(29): e2404060121. https://doi.org/10.1073/pnas.2404060121*corresponding author

  • Yang L#, Tang Q#, Zhang M, Tian Y, Chen X, Xu R, Ma Q, Guo P*, Zhang C* and Han D*. A spatially localized DNA linear classifier for cancer diagnosis. Nature Communications. 2024, 15(1): 4583. https://doi.org/10.1038/s41467-024-48869-y#Joint First Authors, *corresponding author

  • Li C, Wang D, Gao H, Fu T, He L*, Han D* and Tan W*. Leveraging DNA-encoded Cell-mimics for Environment-adaptive Transmembrane Channel Release-induced Cell Death. Angewandte Chemie International Edition. 2024: e202406186.  https://doi.org/10.1002/anie.202406186*corresponding author

  • Zhang M, Yancey C, Zhang C, Wang J, Ma Q, Yang L, Schulman R*, Han D* and Tan W*. A DNA circuit that records molecular event. Science Advances. 2024, 10(14): eadn3329. https://doi.org/10.1126/sciadv.adn3329*corresponding author

  • Wang Y#, Wang J#, Yan Z, Hou J, Wan L, Yang Y, Liu Y, Yi J, Guo P* and Han D*. Structural investigation of pathogenic RFC1 AAGGG pentanucleotide repeats reveals a role of G-quadruplex in dysregulated gene expression in CANVAS. Nucleic Acids Research. 2024, 52(5): 2698-2710. https://doi.org/10.1093/nar/gkae032#Joint First Authors, *corresponding author

  • Tian Y, Miao Y, Guo P, Wang J*and Han D*. Insulin-like Growth Factor 2-Tagged Aptamer Chimeras (ITACs) Modular Assembly for Targeted and Efficient Degradation of Two Membrane Proteins. Angewandte Chemie International Edition. 2024, 63(5): e202316089. https://doi.org/10.1002/anie.202316089*corresponding author

  • Liu J, Zhang C, Song J, Zhang Q, Zhang R, Zhang M, Han D* and Tan W*. Unlocking Genetic Profiles with a Programmable DNA-Powered Decoding Circuit. Advanced Science. 2023, 10(20): e2206343.https://doi.org/10.1002/advs.202206343*corresponding author

  • Zheng T#, Tang Q#, Wan L#, Zhao Y, Xu R, Xu X, Li H and Han D*. Controlled Self-Assembly of the Catalytic Core of Hydrolases Using DNA Scaffolds. Nano Letters. 2023, 23(6): 2081-2086. https://doi.org/10.1021/acs.nanolett.2c03387#Joint First Authors, *corresponding author

  • Ma Q, Zhang M, Zhang C*, Teng X, Yang L, Tian Y, Wang J, Han D* and Tan W*. An automated DNA computing platform for rapid etiological diagnostics. Science Advances. 2022, 8(47): eade0453. https://science.org/doi/10.1126/sciadv.ade0453*corresponding author

  • Zhang C, Zheng T, Ma Q, Yang L, Zhang M, Wang J, Teng X, Miao Y, Lin H, Yang Y* and Han D*. Logical Analysis of Multiple Single-Nucleotide-Polymorphisms with Programmable DNA Molecular Computation for Clinical Diagnostics. Angewandte Chemie International Edition. 2022, 61(15): e202117658. https://doi.org/10.1002/ange.202117658*corresponding author (Hot Paper)

  • Ma Q, Zhang C, Zhang M, Han D* and Tan W*. DNA Computing: Principle, Construction, and Applications in Intelligent Diagnostics. Small Structures. 2021, 2(11): 2100051. https://doi.org/10.1002/sstr.202100051  *corresponding author (Cover Picture)

  • Miao Y#, Gao Q#, Mao M, Zhang C, Yang L, Yang Y and Han D*. Bispecific Aptamer Chimeras Enable Targeted Protein Degradation on Cell Membranes. Angewandte Chemie International Edition. 2021, 60(22): 11267-11271. https://doi.org/10.1002/anie.202102170#Joint First Authors, *corresponding author (Hot Paper)

  • Gao Q#, Zhao Y#, Xu K, Zhang C, Ma Q, Qi L, Chao D, Zheng T, Yang L, Miao Y and Han D*. Highly specific, single-step cancer cell isolation with multi-aptamer-mediated proximity ligation on live cell membranes. Angewandte Chemie International Edition. 2020, 59(52): 23564-23568.  https://doi.org/10.1002/anie.202011198  #Joint First Authors, *corresponding author (Hot Paper)

  • Yang L, Zhao Y, Xu X, Xu K, Zhang M, Huang K, Kang H*, Lin H, Yang Y* and Han D*. An intelligent DNA nanorobot for autonomous anticoagulation. Angewandte Chemie International Edition. 2020, 59(40): 17697-17704.  https://doi.org/10.1002/anie.202007962*corresponding author (Very Important Paper)

  • Zhang C, Zhao Y, Xu X, Xu R, Li H, Teng X, Du Y, Miao Y, Lin H and Han D*. Cancer Diagnosis with DNA Molecular Computation. Nature Nanotechnology. 2020, 15: 709-715.  https://doi.org/10.1038/s41565-020-0699-0*corresponding author

Contacts

E-mail: dahan@sjtu.edu.cn

 

Office Room: 1-319

Hangzhou Institute of Medicine

Chinese Academy of Science

150 Fucheng Road, Qiantang District

Hangzhou, Zhejiang Province, China 310000

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