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Li Hong
lihong01@sinh.ac.cn
Chinese, English
Shanghai
University of Chinese Academy of Sciences
Life Sciences
  • 2005-09 to 2010-06 Ph.D. in Science: Shanghai Institute of Life Sciences, Chinese Academy of Sciences
  • 2001-09 to 2005-06 Bachelor's in Science: Central South University
  • 2019-12 to 2023-05 - Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences - Researcher
  • 2014-12 to 2019-11 - Shanghai Institute of Life Sciences, Chinese Academy of Sciences - Associate Researcher
  • 2013-10 to 2014-11 - Shanghai Institute of Life Sciences, Chinese Academy of Sciences - Assistant Researcher
  • 2010-09 to 2013-08 - Institute for Systems Biology, USA - Postdoctoral Researcher
  • China Society for Cell Biology Young Female Scientist Career Development Fund (Category B) (2023): Other
  • Shanghai Science and Technology System 'March 8th Red Banner Holder' (2023): Municipal Level
  • Shanghai Science and Technology System 'Youth May Fourth Medal' (2021): Municipal Level
  • Sanofi - Shanghai Institute of Life Sciences, Chinese Academy of Sciences Outstanding Young Talent Award (2019): Institute Level
  • Shanghai Natural Science Award First Prize (2014): Municipal Level
Computational Biology - Bioinformatics
Cancer Systems Biology
  • Single-cell and spatially resolved transcriptomics for liver biology., Hepatology, 2023
  • Kupffer-cell-derived IL-6 is repurposed for hepatocyte dedifferentiation via activating progenitor genes from injury-specific enhancers, CELL STEM CELL, 2023
  • A systematic assessment of deep learning methods for drug response prediction: from in vitro to clinical applications, BRIEFINGS IN BIOINFORMATICS, 2022
  • Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine, JOURNAL OF GENETICS AND GENOMICS, 2021
  • Integrated genomic and transcriptomic analysis reveals unique characteristics of hepatic metastases and pro-metastatic role of complement C1q in pancreatic ductal adenocarcinoma, GENOME BIOLOGY, 2020
  • Integrative analysis reveals novel driver genes and molecular subclasses of hepatocellular carcinoma, AGING (ALBANY NY), 2020
  • A Pharmacogenomic Landscape in Human Liver Cancers, CANCER CELL, 2019
  • A Homeostatic Arid1a-Dependent Permissive Chromatin State Licenses Hepatocyte Responsiveness to Liver-Injury-Associated YAP Signaling, CELL STEM CELL, 2019
  • Integrative analysis of DNA methylation and gene expression reveals hepatocellular carcinoma-specific diagnostic biomarkers, GENOME MEDICINE, 2018
Computational Biology Bioinformatics Cancer Systems Biology Genomics Transcriptomics Pharmacogenomics Hepatocellular Carcinoma Deep Learning Drug Response Prediction Single-Cell Analysis

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