Author

Matthew Kanke

Cornell University

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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Genetics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Alecia B. McAllister· 1 shared Amy J. Swift· 1 shared Benjamin P. KeithiD· 1 shared Caleb M. GrenkoiD· 1 shared Corbin D. Jones· 1 shared D. Leland TayloriD· 1 shared David Favre· 1 shared David M. Irlbeck· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperMicrobiology

Alecia B. McAllister

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3 papers

Recent·Most cited

Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis

Henry J. Taylor, Yu-Han Hung, Narisu Narisu, Michael R. Erdos, Matthew Kanke, Tingfen Yan, Caleb M. Grenko, Amy J. Swift, Lori L. Bonnycastle, Praveen Sethupathy, Francis S. Collins, D. Leland Taylor

This paper identifies miRNAs associated with type 2 diabetes and glycemic traits through genetic analysis of miRNA expression in human pancreatic islets.

Proceedings of the National Academy of Sciences · Feb 9, 2023Peer-reviewedGenetics

Colonic Epithelial miR-31 Associates with the Development of Crohn’s Phenotypes

Benjamin P. Keith, Jasmine Barrow, Takahiko Toyonaga, Nevzat Kazgan, Michelle Hoffner, Neil Shah, Matthew S. Schaner, Elisabeth A. Wolber, Omar K. Trad, Gregory R. Gipson, Wendy A. Pitman, Matthew Kanke, Shruti Saxena, Nicole Chaumont, Timothy S. Sadiq, , Shehzad Z. Sheikh

This study identifies miR-31 as a marker that stratifies Crohn’s disease patients into two subtypes with distinct clinical outcomes.

JCI Insight · Oct 3, 2018Peer-reviewedGenomics

The SMAC Mimetic AZD5582 is a Potent HIV Latency Reversing Agent

Gavin C. Sampey, David M. Irlbeck, Edward P. Browne, Matthew Kanke, Alecia B. McAllister, Robert G. Ferris, Jessica H. Brehm, David Favre, Jean-Pierre Routy, Corbin D. Jones, Nancie M. Archin, David M. Margolis, Richard M. Dunham

The paper demonstrates that AZD5582, a SMACm mimic, effectively reverses HIV latency in patient-derived cells without significant off-target effects.

bioRxiv · May 2, 2018 · PreprintMicrobiology