Author

C. K. Chan

Primary ORCID profile (0000-0002-1496-1086 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

C. K. ChaniD2 papers · Institute of Physics, Academia Sinica

Biology Disciplines

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Cell Biology· 3 Biochemistry· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

J. A. Theriot· 2 shared A. Hadjitheodorou· 1 shared A. L. Sanborn· 1 shared A. Manicone· 1 shared A. Wieczorek· 1 shared C. Li· 1 shared C. Shi· 1 shared C. U. Rang· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 7 mutual co-author links

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2 shared papersCell Biology

J. A. Theriot

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Author profile →

5 papers

Recent·Most cited

Regulation of Versican Expression in Macrophages is Mediated byCanonical Type I Interferon Signaling via ISGF3

M. Y. Chang, C. K. Chan, J. E. Brune, A. Manicone, K. Bomsztyk, C. W. Frevert, W. A. Altemeier

This study identifies canonical type I interferon signaling via ISGF3 as the mechanism regulating versican expression in macrophages exposed to LPS.

bioRxiv · Mar 14, 2024Cell Biology

Spatial and temporal distribution of ribosomes in single cells reveals aging differences between old and new daughters of Escherichia coli

L. Chao, C. K. Chan, C. Shi, C. U. Rang

The paper examines ribosome distribution in old and new daughters of E. coli, finding denser ribosomes in new daughters, suggesting a fundamental upstream process affecting ribosomal abundance during aging.

bioRxiv · Jun 21, 2023Evolutionary Biology

Mapping variation in the morphological landscape of human cells with optical pooled CRISPRi screening

R. L. D. Labitigan, A. L. Sanborn, C. V. Hao, C. K. Chan, N. M. Belliveau, E. M. Brown, M. Mehrotra, J. A. Theriot

This study uses CRISPRi screening and deep learning to identify genes affecting cell morphology and construct a quantitative morphological variation space in human cells.

bioRxiv · Dec 27, 2022 · PreprintCell Biology

Quantitative comparison of principal component analysis and unsupervised deep learning using variational autoencoders for shape analysis of motile cells

C. K. Chan, A. Hadjitheodorou, T. Y.- C. Tsai, J. A. Theriot

This paper compares PCA and VAE-GAN for analyzing cell shape in neutrophils, finding that VAE-GAN more efficiently captures shape variation while maintaining interpretability.

bioRxiv · Jun 26, 2020 · PreprintCell Biology

Genetically modified human type II collagen for N- and C-terminal covalent tagging

A. Wieczorek, C. K. Chan, S. Kovacic, C. Li, T. Dierks, N. R. Forde

This paper describes a method to genetically modify human type II collagen for covalent N- and C-terminal tagging using mutations and enzymatic processing.

bioRxiv · Jun 1, 2017Biochemistry