Author

Q. Bao

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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Cancer Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:chromatin & epigenetic regulation· 2 Organism:human· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

A. Rocker· 1 shared C. Shao· 1 shared C. Stubenrauch· 1 shared C. Webb· 1 shared C. Wu· 1 shared C. Yang· 1 shared D. Vijaykrishn· 1 shared G. Taiaroa· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperMicrobiology

A. Rocker

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Treatment history shapes the evolution of complex carbapenem-resistant phenotypes in Klebsiella spp.

T. Lithgow, T. Zhou, M. MCDONALD, N. Rosas, J. Wilksch, J. Barber, J. Li, Y. Wang, Z. Sun, A. Rocker, C. Webb, L. Perlaza-Jimenez, C. Stubenrauch, D. Vijaykrishn, J. Song, , Q. Bao

This study shows that treatment history influences the evolution of carbapenem resistance in Klebsiella by shaping the genetic loci involved and their fitness costs.

bioRxiv · Aug 30, 2022Microbiology

Molecular mechanism of the anti-lung cancer effect of Jin Ning Fang based on network pharmacology and experimental verification

C. Wu, Q. Yu, W. Shou, K. Zhang, Y. Li, W. Guo, Q. Bao

This paper identifies the molecular mechanism of Jin Ning Fang's anti-lung cancer effect using network pharmacology and experimental validation, revealing key targets and compounds involved.

bioRxiv · Jul 26, 2021 · PreprintCancer Biology

Chemoproteomics Maps Glycolytic Targetome in Cancer Cells

Y. Tian, N. Wan, M. Ding, C. Shao, N. Wang, Q. Bao, W. Lu, H. Hu, H. Sun, C. Yang, K. Zhou, S. Chen, G. Wang, H. Ye, H. Hao

This study maps the glycolytic targetome in cancer cells using TRAP, revealing 913 targets and 2,487 interactions for 10 glycolytic metabolites and their functional roles in cancer biology.

bioRxiv · Nov 18, 2020 · PreprintCancer Biology