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Zijian Kang

Researcher at Second Military Medical University

Publications -  14
Citations -  1038

Zijian Kang is an academic researcher from Second Military Medical University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 4, co-authored 4 publications receiving 851 citations.

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The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes

TL;DR: The bioinformatics evidence of the potential route for infection of 2019-nCov in digestive system along with respiratory tract is provided and may have significant impact for the authors' healthy policy setting regards to prevention of2019-nCoV infection.
Journal ArticleDOI

Digestive system is a potential route of COVID-19: An analysis of single-cell coexpression pattern of key proteins in viral entry process

TL;DR: This study provides the evidence of the potential route of SARS-CoV-2 in the digestive system along with the respiratory tract based on single-cell transcriptomic analysis and demonstrates a novel method to identify the prime cell types of a virus by the coexpression pattern analysis of single- cell sequencing data.
Posted ContentDOI

The insert sequence in SARS-CoV-2 enhances spike protein cleavage by TMPRSS

TL;DR: The bioinformatics evidence for the increased spike protein cleavage of SARS-CoV-2 is provided and its potential target cells are indicated, including esophageal upper epithelial cells and absorptive enterocytes.
Posted ContentDOI

The transmembrane serine protease inhibitors are potential antiviral drugs for 2019-nCoV targeting the insertion sequence-induced viral infectivity enhancement

TL;DR: Transmembrane serine protease inhibitors as the antiviral treatment options for 2019-nCoV infection targeting TMPRSS2 are indicated and bioinformatics and structure evidence for the increased viral infectivity of 2019- nCoV is provided.
Journal ArticleDOI

Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learning

TL;DR: M1 macrophages is an important cause of unstable plaque formation, and CD68, PAM, and IGFBP6 genes were identified as the effective diagnostic markers of unstable plaques, which were validated by validation datasets and clinical samples.