Yangying Liu

ORCID: 0000-0001-9662-1941
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About
Contact & Profiles
Research Areas
  • Microbial Community Ecology and Physiology
  • Gut microbiota and health
  • Genomics and Phylogenetic Studies
  • Protein Structure and Dynamics
  • RNA modifications and cancer
  • Forest Ecology and Biodiversity Studies
  • Cancer-related gene regulation
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Primate Behavior and Ecology
  • RNA and protein synthesis mechanisms
  • Microbial Metabolic Engineering and Bioproduction
  • Wastewater Treatment and Nitrogen Removal
  • Environmental DNA in Biodiversity Studies
  • Computational Drug Discovery Methods
  • Antibiotic Resistance in Bacteria
  • Chemical Synthesis and Analysis
  • Epigenetics and DNA Methylation
  • Cutaneous Melanoma Detection and Management
  • Genomics and Chromatin Dynamics
  • RNA Research and Splicing
  • Single-cell and spatial transcriptomics
  • Soil Carbon and Nitrogen Dynamics
  • Coastal wetland ecosystem dynamics
  • Biosensors and Analytical Detection
  • Cancer Immunotherapy and Biomarkers

University of Chinese Academy of Sciences
2018-2024

Chinese Academy of Sciences
2018-2024

Beijing Institute of Genomics
2024

Shanghai Center For Bioinformation Technology
2024

University of Electronic Science and Technology of China
2024

Lehigh University
2023

Research Center for Eco-Environmental Sciences
2018-2021

The gut microbime plays an important role in the health of wild animals. This microbial community could be altered by habitat pollution and other human activities that threaten host organisms. Here, we satellite-tracked a flock swan geese (Anser cygnoides) migrating from their breeding area (Khukh Lake, Mongolia), with low levels activity, to wintering (Poyang China) which has been heavily impacted activities. Twenty fecal samples were collected each site. High-throughput sequencing 16S ITS...

10.1038/s41598-018-31731-9 article EN cc-by Scientific Reports 2018-08-31

Urban ambient air contains a cocktail of antibiotic resistance genes (ARGs) emitted from various anthropogenic sites. However, what is largely unknown whether the airborne ARGs exhibit site-specificity or their pathogenic hosts persistently exist in air. Here, by retrieving 1.2 Tb metagenomic sequences (n = 136), we examined hospitals, municipal wastewater treatment plants (WWTPs) and landfills, public transit centers, urban sites located seven China's megacities. As validated multiple...

10.1021/acs.est.3c02593 article EN Environmental Science & Technology 2023-10-16

Abstract Hemi-methylated cytosine dyads widely occur on mammalian genomic DNA, and can be stably inherited across cell divisions, serving as potential epigenetic marks. Previous identification of hemi-methylation relied harsh bisulfite treatment, leading to extensive DNA degradation loss methylation information. Here we introduce Mhemi-seq, a bisulfite-free strategy, efficiently resolve status into unmethylation, strand-specific hemi-methylation, or full-methylation. Mhemi-seq reproduces...

10.1093/nar/gkae023 article EN cc-by Nucleic Acids Research 2024-01-23

Abstract Protein-protein interactions are essential for various biological processes, including signal transduction, metabolism, vesicle transport, and mitogenic processes. It’s crucial to consider them within the context of their with other proteins understand protein function. Mutations in can affect binding affinity partner by introducing effects, such as changes hydrophobic regions, electrostatic interactions, or hydrogen bonds. Assessing impact mutations on have implications disease...

10.1101/2023.10.26.564257 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-10-31

Abstract DeepVASP-S is a computational tool that leverages the capabilities of convolutional neural networks (CNNs) to analyze steric aspects protein-ligand interactions and predict amino acid contributions binding specificity. This combines structural bioinformatics with machine learning address complex problem understanding how specific acids contribute specificity binding. Here, we use this subclasses for Enolase Serine Protease according their specificity, explain it through underlying...

10.1101/2023.11.04.565624 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-11-06
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