Author

Christopher Lee

University of British ColumbiaPrimary ORCID profile (0000-0001-9802-4550 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Christopher LeeiD1 paper · Agency for Science, Technology and Research

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Ada J. Lin· 1 shared Alan P. BoyleiD· 1 shared Brian A. MacVicariD· 1 shared Christopher J. GroteniD· 1 shared Da Young Kong· 1 shared David R. KaplaniD· 1 shared Declan J. Brennan· 1 shared Freda D. MilleriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Ada J. Lin

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2 papers

Recent·Most cited

A 3D human iPSC-derived multi-cell type neurosphere system to model cellular responses to chronic amyloidosis

Stefan Wendt, Ada J. Lin, Sarah N. Ebert, Declan J. Brennan, Wenji Cai, Yanyang Bai, Da Young Kong, Stefano Sorrentino, Christopher J. Groten, Christopher Lee, Jonathan Frew, Hyun B. Choi, Konstantina Karamboulas, Mathias Delhaye, Ian R. Mackenzie, , Haakon B. Nygaard

This paper uses a 3D human iPSC-derived neurosphere model to study how microglia modify cellular responses to chronic amyloidosis, revealing their role in reducing neurotoxicity and regulating AD-associated gene expression.

Journal of Neuroinflammation · Apr 24, 2025Peer-reviewedNeuroscience

Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory data

Tingting Qin, Christopher Lee, Raymond G. Cavalcante, Peter Orchard, Heming Yao, Hanrui Zhang, Shuze Wang, Snehal B. Patil, Alan P. Boyle, Maureen A. Sartor

The paper develops genome-wide enhancer-to-target gene assignments across >500 cell types and shows they outperform naive methods in gene set enrichment analysis.

bioRxiv · Oct 22, 2020 · PreprintBioinformatics