Author

Chin-Tu Chen

University of Chicago

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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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Organism:mouse· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Hannah J. Zhang· 3 shared Samuel J. Mitchell· 3 shared Chien-Min KaoiD· 2 shared Jogeshwar MukherjeeiD· 2 shared Matthew D. ZammitiD· 2 shared Mohammed P. I. BhuiyaniD· 2 shared Nathanial Holderman· 2 shared Richard H. Freifelder· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersNeuroscience

Hannah J. Zhang

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3 papers

Recent·Most cited

Trapping of Nicotinic Acetylcholine Receptor Ligands Assayed by in vitro Cellular Studies and in vivo PET Imaging

Hannah J. Zhang, Matthew D. Zammit, Chien-Min Kao, Anitha P. Govind, Samuel J. Mitchell, Nathanial Holderman, Mohammed P. I. Bhuiyan, Richard H. Freifelder, Anna Kucharski, Xiaoxi Zhuang, Jogeshwar Mukherjee, Chin-Tu Chen, William N. Green

The paper investigates how nicotine and varenicline distribute in brain cells by combining in vitro and in vivo imaging, finding that varenicline is trapped in 4{beta}2R-containing Golgi satellites, leading to slow release.

Journal of Neuroscience · Aug 26, 2022Peer-reviewedNeuroscience

Evaluation of an image-derived input function for kinetic modeling of nicotinic acetylcholine receptor-binding PET ligands

Matthew D. Zammit, Chien-Min Kao, Hannah J. Zhang, Nathanial Holderman, Samuel J. Mitchell, Eve Tanios, Vincent Zhang, Mohammed P. I. Bhuiyan, Richard H. Freifelder, William N. Green, Jogeshwar Mukherjee, Chin-Tu Chen

This study evaluates an image-derived input function for PET ligand kinetic modeling in mice, showing improved quantification compared to reference tissue methods for nicotinic receptor-binding tracers.

bioRxiv · Aug 5, 2022 · PreprintNeuroscience

Assessment of Brain Glucose Metabolism Following Cardiac Arrest by FDG Positron Emission Tomography

Hannah J. Zhang, Samuel J. Mitchell, Yong‐Hu Fang, Hsiu‐Ming Tsai, Lin Hua Piao, Alaa Ousta, Lara Leoni, Chin-Tu Chen, Willard W. Sharp

This study uses [18F]FDG-PET to assess brain glucose metabolism 72 hours after cardiac arrest in mice, finding increased uptake in multiple brain regions.

Neurocritical Care · May 1, 2020Peer-reviewedNeuroscience