Professor | Yi Di Sun | Asia Growth Partners

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Name	Yi Di Sun
Contact Information	ydsun@@ion.ac.cn
Language ability	Chinese, English
Province	Shanghai

Upload Avatar (500 x 500)

Name

Yi Di Sun

Contact Information

ydsun@@ion.ac.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Chinese Academy of Sciences
Faculty	institute of neuroscience Chinese academy of sciences
Academic Background & Achievements	2015 - Bachelor of Science: Nankai University 2020 - PhD in Bioinformatics: Max Planck Institute for Informatics, Chinese Academy of Sciences Achievement: Published multiple research papers in international journals such as Cell, Science, Nature, etc.
Work Experience	2017 - Stanford University - Visiting Scholar 2020-2023 - Chinese Academy of Sciences - Young Researcher 2023-Present - Chinese Academy of Sciences - Researcher
Awards	Shanghai Rising Star 2019 - Top Ten Advances in Chinese Life Sciences

University/Lab Affiliation and Title

Chinese Academy of Sciences

Faculty

institute of neuroscience Chinese academy of sciences

Academic Background & Achievements

2015 - Bachelor of Science: Nankai University
2020 - PhD in Bioinformatics: Max Planck Institute for Informatics, Chinese Academy of Sciences
Achievement: Published multiple research papers in international journals such as Cell, Science, Nature, etc.

Work Experience

2017 - Stanford University - Visiting Scholar
2020-2023 - Chinese Academy of Sciences - Young Researcher
2023-Present - Chinese Academy of Sciences - Researcher

Awards

Shanghai Rising Star
2019 - Top Ten Advances in Chinese Life Sciences

Areas of Focus	Development of new methods for multi-omics data integration Brain cell atlas research based on single-cell multi-omics data Development of gene editing tools based on deep learning
Publications	Pharmaco-proteogenomic characterization of liver cancer organoids for precision oncology, Ji, S., Feng, L., Fu, Z., Wu, G., Wu, Y., Lin, Y., Lu, D., Song, Y., Cui, P., Yang, Z., Sang, C., Song, G., Cai, S., Li, Y., Lin, H., Zhang, S., Wang, X., Qiu, S., Zhang, X., Hua, G., Li, J., Zhou, J., Dai, Z., Wang, X., Ding, L., Wang, P., Gao, D., Zhang, B., Rodriguez, H., Fan, J., Clevers, H., Zhou, H., Sun, Y., Gao, Q., 2023 Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex, Chen, A., Sun, Y., Lei, Y., Li, C., Liao, S., Meng, J., Bai, Y., Liu, Z., Liang, Z., Zhu, Z., Yuan, N., Yang, H., Wu, Z., Yao, J., Wei, W., Li, Y., Shen, Z., Liu, L., Liu, Z., Xu, X., Li, C., 2023 Cytosine base editors induce off-target mutations and adverse phenotypic effects in transgenic mice, Yan, N., Feng, H., Sun, Y., Xin, Y., Zhang, H., Lu, H., Zheng, J., He, C., Zuo, Z., Yuan, T., Li, N., Xie, L., Wei, W., Sun, Y., Zuo, E., 2023 Reading and writing of mRNA m6A modification orchestrate maternal-to-zygotic transition in mice, Zhu, W., Ding, Y., Meng, J., Gu, L., Liu, W., Li, L., Chen, H., Wang, Y., Li, Z., Li, C., Sun, Y., Liu, Z., 2023 EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning, Yang, Q., Wu, L., Meng, J., Ma, L., Zuo, E., Sun, Y., 2022 TreeQNet: a webserver for Treatment evaluation with Quantified Network, Li, Z., Huang, Y., Li, Q., Sun, Y., Li, C., Wu, J., Zheng, H., Zeng, R., 2022 Endogenous promoter-driven sgRNA for monitoring the expression of low-abundance transcripts and lncRNAs, Gao, N., Hu, J., He, B., Ji, Z., Hu, X., Huang, J., Wei, Y., Peng, J., Wei, Y., Zhou, Y., Shen, X., Li, H., Feng, X., Xiao, Q., Shi, L., Sun, Y., Zhou, C., Zhou, H., Yang, H., 2021 Perfecting Targeting in CRISPR, Zhang, H., Li, T., Sun, Y., Yang, H., 2021 Effects of gut microbiota and fatty acid metabolism on dyslipidemia following weight-loss diets in women: Results from a randomized controlled trial, Ma, Y., Sun, Y., Sun, L., Liu, X., Zeng, R., Lin, X., Li, Y., 2021 Pan-cancer network disorders revealed by overall and local signaling entropy, Feng, L., Sun, Y., Li, C., Li, Y., Chen, L., Zeng, R., 2021 Programmable C-to-U RNA editing using the human APOBEC3A deaminase, Huang, X., Lv, J., Li, Y., Mao, S., Li, Z., Jing, Z., Sun, Y., Zhang, X., Shen, S., Wang, X., Di, M., Ge, J., Huang, X., Zuo, E., Chi, T., 2020 Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods, Yuan, T., Yan, N., Fei, T., Zheng, J., Meng, J., Li, N., Liu, J., Zhang, H., Xie, L., Ying, W., Li, D., Shi, L., Sun, Y., Li, Y., Li, Y., Sun, Y., Zuo, E., 2021 Cytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos, Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., Yang, H., 2019 Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis, Zhou, C., Sun, Y., Yan, R., Liu, Y., Zuo, E., Gu, C., Han, L., Wei, Y., Hu, X., Zeng, R., Li, Y., Zhou, H., Guo, F., Yang, H., 2019 A rationally engineered cytosine base editor retains high on-target activity while reducing both DNA and RNA off-target effects, Zuo, E., Sun, Y., Yuan, T., He, B., Zhou, C., Ying, W., Liu, J., Wei, W., Zeng, R., Li, Y., Yang, H., 2020 Kinase-substrate Edge Biomarkers Provide A More Accurate Prognostic Prediction in ER-negative Breast Cancer, Sun, Y., Li, C., Pang, S., Yao, Q., Chen, L., Li, Y., Zeng, R., 2020 GOTI, a method to identify genome-wide off-target effects of genome editing in mouse embryos, Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., Yang, H., 2020 Glia-to-Neuron Conversion by CRISPR-CasRx Alleviates Symptoms of Neurological Disease in Mice, Zhou, H., Su, J., Hu, X., Zhou, C., Li, H., Chen, Z., Xiao, Q., Wang, B., Wu, W., Sun, Y., Zhou, Y., Tang, C., Liu, F., Wang, L., Feng, C., Liu, M., Li, S., Zhang, Y., Xu, H., Yao, H., Shi, L., Yang H., 2020 CRISPR/Cas9-mediated targeted chromosome elimination, Zuo, E., Huo, X., Yao, X., Hu, X., Sun, Y., Yin, J., He, B., Wang, X., Shi, L., Ping, J., Wei, Y., Ying, W., Wei, W., Liu, W., Tang, C., Li, Y., Hu, J., Yang, H., 2017 Highly efficient base editing in human tripronuclear zygotes, Zhou, C., Zhang, M., Wei, Y., Sun, Y., Sun, Y., Pan, H., Yao, N., Zhong, W., Li, Y., Li, W., Yang, H., Chen, Z., 2017 Base editing technology, Sun, Y., Zuo, E., Yang, H., 2020 Integrated Omics of Metastatic Colorectal Cancer, Li, C., Sun, Y., Yu, G., Cui, J., Lou, Z., Zhang, H., Huang, Y., Bai, C., Deng, L., Liu, P., Zheng, K., Wang, Y., Wang, Q., Li, Q., Wu, Q., Liu, Q., Shyr, Y., Li, Y., Chen, L., Wu, J., Zhang, W., Zeng, R., 2020

Areas of Focus

Development of new methods for multi-omics data integration
Brain cell atlas research based on single-cell multi-omics data
Development of gene editing tools based on deep learning

Publications

Pharmaco-proteogenomic characterization of liver cancer organoids for precision oncology, Ji, S., Feng, L., Fu, Z., Wu, G., Wu, Y., Lin, Y., Lu, D., Song, Y., Cui, P., Yang, Z., Sang, C., Song, G., Cai, S., Li, Y., Lin, H., Zhang, S., Wang, X., Qiu, S., Zhang, X., Hua, G., Li, J., Zhou, J., Dai, Z., Wang, X., Ding, L., Wang, P., Gao, D., Zhang, B., Rodriguez, H., Fan, J., Clevers, H., Zhou, H., Sun, Y., Gao, Q., 2023
Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex, Chen, A., Sun, Y., Lei, Y., Li, C., Liao, S., Meng, J., Bai, Y., Liu, Z., Liang, Z., Zhu, Z., Yuan, N., Yang, H., Wu, Z., Yao, J., Wei, W., Li, Y., Shen, Z., Liu, L., Liu, Z., Xu, X., Li, C., 2023
Cytosine base editors induce off-target mutations and adverse phenotypic effects in transgenic mice, Yan, N., Feng, H., Sun, Y., Xin, Y., Zhang, H., Lu, H., Zheng, J., He, C., Zuo, Z., Yuan, T., Li, N., Xie, L., Wei, W., Sun, Y., Zuo, E., 2023
Reading and writing of mRNA m6A modification orchestrate maternal-to-zygotic transition in mice, Zhu, W., Ding, Y., Meng, J., Gu, L., Liu, W., Li, L., Chen, H., Wang, Y., Li, Z., Li, C., Sun, Y., Liu, Z., 2023
EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning, Yang, Q., Wu, L., Meng, J., Ma, L., Zuo, E., Sun, Y., 2022
TreeQNet: a webserver for Treatment evaluation with Quantified Network, Li, Z., Huang, Y., Li, Q., Sun, Y., Li, C., Wu, J., Zheng, H., Zeng, R., 2022
Endogenous promoter-driven sgRNA for monitoring the expression of low-abundance transcripts and lncRNAs, Gao, N., Hu, J., He, B., Ji, Z., Hu, X., Huang, J., Wei, Y., Peng, J., Wei, Y., Zhou, Y., Shen, X., Li, H., Feng, X., Xiao, Q., Shi, L., Sun, Y., Zhou, C., Zhou, H., Yang, H., 2021
Perfecting Targeting in CRISPR, Zhang, H., Li, T., Sun, Y., Yang, H., 2021
Effects of gut microbiota and fatty acid metabolism on dyslipidemia following weight-loss diets in women: Results from a randomized controlled trial, Ma, Y., Sun, Y., Sun, L., Liu, X., Zeng, R., Lin, X., Li, Y., 2021
Pan-cancer network disorders revealed by overall and local signaling entropy, Feng, L., Sun, Y., Li, C., Li, Y., Chen, L., Zeng, R., 2021
Programmable C-to-U RNA editing using the human APOBEC3A deaminase, Huang, X., Lv, J., Li, Y., Mao, S., Li, Z., Jing, Z., Sun, Y., Zhang, X., Shen, S., Wang, X., Di, M., Ge, J., Huang, X., Zuo, E., Chi, T., 2020
Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods, Yuan, T., Yan, N., Fei, T., Zheng, J., Meng, J., Li, N., Liu, J., Zhang, H., Xie, L., Ying, W., Li, D., Shi, L., Sun, Y., Li, Y., Li, Y., Sun, Y., Zuo, E., 2021
Cytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos, Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., Yang, H., 2019
Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis, Zhou, C., Sun, Y., Yan, R., Liu, Y., Zuo, E., Gu, C., Han, L., Wei, Y., Hu, X., Zeng, R., Li, Y., Zhou, H., Guo, F., Yang, H., 2019
A rationally engineered cytosine base editor retains high on-target activity while reducing both DNA and RNA off-target effects, Zuo, E., Sun, Y., Yuan, T., He, B., Zhou, C., Ying, W., Liu, J., Wei, W., Zeng, R., Li, Y., Yang, H., 2020
Kinase-substrate Edge Biomarkers Provide A More Accurate Prognostic Prediction in ER-negative Breast Cancer, Sun, Y., Li, C., Pang, S., Yao, Q., Chen, L., Li, Y., Zeng, R., 2020
GOTI, a method to identify genome-wide off-target effects of genome editing in mouse embryos, Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., Yang, H., 2020
Glia-to-Neuron Conversion by CRISPR-CasRx Alleviates Symptoms of Neurological Disease in Mice, Zhou, H., Su, J., Hu, X., Zhou, C., Li, H., Chen, Z., Xiao, Q., Wang, B., Wu, W., Sun, Y., Zhou, Y., Tang, C., Liu, F., Wang, L., Feng, C., Liu, M., Li, S., Zhang, Y., Xu, H., Yao, H., Shi, L., Yang H., 2020
CRISPR/Cas9-mediated targeted chromosome elimination, Zuo, E., Huo, X., Yao, X., Hu, X., Sun, Y., Yin, J., He, B., Wang, X., Shi, L., Ping, J., Wei, Y., Ying, W., Wei, W., Liu, W., Tang, C., Li, Y., Hu, J., Yang, H., 2017
Highly efficient base editing in human tripronuclear zygotes, Zhou, C., Zhang, M., Wei, Y., Sun, Y., Sun, Y., Pan, H., Yao, N., Zhong, W., Li, Y., Li, W., Yang, H., Chen, Z., 2017
Base editing technology, Sun, Y., Zuo, E., Yang, H., 2020
Integrated Omics of Metastatic Colorectal Cancer, Li, C., Sun, Y., Yu, G., Cui, J., Lou, Z., Zhang, H., Huang, Y., Bai, C., Deng, L., Liu, P., Zheng, K., Wang, Y., Wang, Q., Li, Q., Wu, Q., Liu, Q., Shyr, Y., Li, Y., Chen, L., Wu, J., Zhang, W., Zeng, R., 2020

Multi-Omics Data Integration Deep Learning Single-Cell Brain Atlas Gene Editing Crispr Bioinformatics Computational Biology Precision Medicine

Jun Yan - Chinese Academy of Sciences

Haibo Zhou - Chinese Academy of Sciences

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