Author

M. Jiao

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· 1 Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:mechanistic / dynamical model· 1

Frequent Co-Authors

C.-Y. Li· 1 shared D. Pan· 1 shared F. Li· 1 shared F. Liu· 1 shared G. Ghacibeh· 1 shared J. Kim· 1 shared M. Hu· 1 shared P. Danthi· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCancer Biology

C.-Y. Li

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cholesterol-Dependent Membrane Deformation by Metastable Viral Capsids Facilitates Entry

M. Jiao, P. Danthi, Y. Yu

This study shows that reovirus capsids deform host membranes in a cholesterol-dependent manner, leading to membrane rupture and viral entry.

bioRxiv · Jan 10, 2024Biophysics

VHL loss enables immune checkpoint blockade therapy by boosting type I interferon response.

M. Jiao, X. Bao, M. Hu, D. Pan, X. Liu, J. Kim, F. Li, C.-Y. Li

This study shows that VHL loss in ccRCC enhances anti-PD-1 therapy efficacy by increasing type I interferon response through HIF1/HIF2-mediated mtDNA leakage.

bioRxiv · Nov 28, 2023 · PreprintCancer Biology

Extended Brain Sources Estimation via Unrolled Optimization Neural Network

M. Jiao, X. Xian, G. Ghacibeh, F. Liu

This paper introduces a novel framework using unrolled optimization neural networks to improve EEG/MEG source imaging by learning source patterns data-driven, achieving better performance than traditional methods.

bioRxiv · Apr 11, 2022 · PreprintBioengineering