Author

Q. C. Zhang

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Research Focus:cell signaling & trafficking· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

M. Gong· 2 shared Q. Ding· 2 shared W. Huang· 2 shared X. Ju· 2 shared B. Zhang· 1 shared C. Li· 1 shared H. Jiang· 1 shared H. Liu· 1 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersMicrobiology

M. Gong

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

MicrobiologybioRxivPreprintApr 25, 2021

Analysis of viral RNA-host protein interactomes enables rapid antiviral drug discovery

S. Zhang, W. Huang, L. Ren…·Q. C. Zhang

The paper identifies antiviral drugs by analyzing RNA-host protein interactomes of SARS-CoV-2, EBOV, and ZIKV.

DOI 10.1101/2021.04.25.441316

𝕏 PostBluesky

MicrobiologybioRxivDec 13, 2020

A novel cell culture system modeling the SARS-CoV-2 life cycle

X. Ju, Y. Zhu, Y. Wang…·Q. Ding

This paper develops a BSL-2 cell culture system for producing SARS-CoV-2 virus-like particles to enable safe antiviral screening and life cycle studies.

DOI 10.1371/journal.ppat.1009439

experimental assaydrug response / drug discovery

𝕏 PostBluesky

ImmunologybioRxivNov 10, 2020

CD127 imprints functional heterogeneity to diversify monocyte responses in human inflammatory diseases

B. Zhang, Y. Zhang, L. Xiong…·X. Hu

The paper identifies a CD127-expressing monocyte subset, M127, associated with anti-inflammatory properties in inflammatory diseases and correlates its expansion with milder COVID-19 outcomes.

DOI 10.1084/jem.20211191

humanbulk RNA-seq

𝕏 PostBluesky

Cell BiologybioRxivMay 5, 2020

Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure

L. Sun, K. Xu, W. Huang…·Q. C. Zhang

This paper introduces PrismNet, a deep learning model that uses in vivo RNA structures to predict protein-RNA interactions and identifies disease-associated mutations affecting these interactions.

DOI 10.1038/s41422-021-00476-y

humanbulk RNA-seq

𝕏 PostBluesky