Author

Z. Chi

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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Bioengineering· 2 Biophysics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

W. Liu· 2 shared A. Gupta· 1 shared C. Cui· 1 shared C. Xu· 1 shared D. Lu· 1 shared F. Meng· 1 shared F. Zheng· 1 shared H. Balasubramanian· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersBioengineering

W. Liu

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4 papers

Recent·Most cited

A biosensor encompassing fusarinine C-magnetic nanoparticles and aptamer-red/green carbon dots for dual-channel fluorescent and RGB discrimination of Campylobacter and Aliarcobacter

W. Liu, Z. Chi

This paper develops a biosensor using magnetic nanoparticles and aptamer-red/green carbon dots to detect and differentiate Campylobacter and Aliarcobacter with high sensitivity and visual RGB discrimination.

bioRxiv · Feb 22, 2023 · PreprintBioengineering

Heptanol-mediated phase separation determines phase preference of molecules in live cell membranes

A. Gupta, D. Lu, H. Balasubramanian, Z. Chi, T. Wohland

The paper introduces a method to identify phase-preference of molecules in live cell membranes using heptanol-mediated phase separation, enabling routine microscopy analysis of domain-localized molecules.

bioRxiv · Oct 18, 2021Biophysics

Remarkable Adsorption Performance of Rutile TiO2 (110) Nanosheet for DNA Nucleobases: A First-Principles Study

J. Yang, W. Liu, Q. Hu, S. Hu, Z. Chi, Y. Han, F. Meng

This study uses first-principles calculations to show rutile TiO2 (110) nanosheets have strong adsorption for DNA nucleobases, exceeding graphene by over 20 times, with implications for DNA sensors and sequencers.

bioRxiv · Oct 15, 2021 · PreprintBioengineering

Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma

Y. Kong, C. Xu, C. Cui, W. Yang, S. Yang, Z. Chi, X. Sheng, L. Si, Y. Xie, J. Yu, X. Chen, S. Wang, J. Hu, F. Zheng, W. Zhou, , J. Guo

The paper identifies an immunosuppression signature (IMS) and shows that its ratio to an IFN-γ signature better predicts anti-PD-1 therapy response in melanoma than existing biomarkers.

bioRxiv · Apr 18, 2020Immunology