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Qiangfeng Cliff Zhang
Ph.D Principal Investigator
School of Life Sciences, Tsinghua University; Center for Life Sciences, Tsinghua-Peking University; Investigator, PhD supervisor
2000: University of Science and Technology of China, School of the Gifted Young, Bachelor
2006: University of Science and Technology of China, Computer Science, PhD
2012: Columbia University, Biophysics, PhD
qczhang@tsinghua.edu.cn
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Hairong Chen
Administrative assistant
Daily affairs management
chenhair@mail.tsinghua.edu.cn
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Xiwen Wang Ph.D
[1] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;
[2] RNA structure probing uncovers RNA structure-dependent biological functions;
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Yuhan Fei Ph.D
[1] RNA Structural Dynamics Modulate EGFR-TKI Resistance Through Controlling YRDC Translation in NSCLC Cells;
[2] Advances and opportunities in RNA structure experimental determination and computational modeling;
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Jinsong Zhang Ph.D
[1] RNA structure determination: From 2D to 3D;
[2] Advances and opportunities in RNA structure experimental determination and computational modeling;
[3] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;
[4] RNA structure probing reveals the structural basis of Dicer binding and cleavage;
[5] RNA structural dynamics regulate early embryogenesis through controlling transcriptome fate and function;
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Kui Xu Ph.D
[1] PrismNet: predicting protein–RNA interaction using in vivo RNA structural information;
[2] Structural basis of membrane skeleton organization in red blood cells;
[3] CryoRes: Local Resolution Estimation of Cryo-EM Density Maps by Deep Learning;
[4] A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments;
[5] In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs;
[6] Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures;
[7] Structure of the activated human minor spliceosome;
[8] RASP: an atlas of transcriptome-wide RNA secondary structure probing data;
[9] VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure;
[10] SCALE method for single-cell ATAC-seq analysis via latent feature extraction;
[11] A²-Net: Molecular Structure Estimation from Cryo-EM Density Volumes;
[12] RISE: a database of RNA interactome from sequencing experiments;
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Wenze Huang Ph.D
[1] PrismNet: predicting protein–RNA interaction using in vivo RNA structural information;
[2] Comparison of viral RNA–host protein interactomes across pathogenic RNA viruses informs rapid antiviral drug discovery for SARS-CoV-2;
[3] In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs;
[4] Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures;
[5] RNA structure maps across mammalian cellular compartments;
[6] Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity;
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Lei Tang Ph.D
[1] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;
[2] Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures;
[3] SCALE method for single-cell ATAC-seq analysis via latent feature extraction;
[4] RNA structure maps across mammalian cellular compartments;
[5] Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity;
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Zhuoer Dong
PhD student
[1] CryoRes: Local Resolution Estimation of Cryo-EM Density Maps by Deep Learning;
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Jingle Xu
PhD student
[1] VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure;
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Zegang Li
PhD student
Deep Learning, Parallel Computing
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Yong Huang
PhD student
Viral RNA Interaction, Genomic Data Analysis
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Jianghui Zhu
PhD student
[1] PrismNet: predicting protein–RNA interaction using in vivo RNA structural information;
[2] Recent advances in RNA structurome;
[3] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;
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Pengfei Wang
PhD student
RNA-targeting drug discovery
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Muzhi Dai
PhD student
[1] CryoRes: Local Resolution Estimation of Cryo-EM Density Maps by Deep Learning;
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Jiasheng Zhang
PhD student
RNA-targeting Drug Discovery
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Weixi Ning
PhD student
[1] Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space;
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Jianbo Ma
PhD student
RNA Design
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Zihan Dominic Li
PhD student
RNA-targeting drug discovery
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Kunting Mu
PhD student
Deep learning, RNA structure
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Zilin Cai
PhD student
RNA Design