Author

Katie Maurer

Broad InstituteORCID 0000-0002-4160-181XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Assay:ATAC-seq· 1 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Catherine J. WuiD· 2 shared Elham AziziiD· 2 shared Kenneth J. LivakiD· 2 shared Shuqiang LiiD· 2 shared Bijal Thakkar· 1 shared Cameron Y. ParkiD· 1 shared David A. KnowlesiD· 1 shared Dustin McCurryiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

Catherine J. WuORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

ASXL1 truncating mutations drive leukemic resistance to T cell attack

Dustin McCurry, Zhongqi Ge, Jaehyun Lee, Rishi Pasumarthi, Xiaohong Leng, Thomas Köhnke, Oren Pasvolsky, Pranaya Raparla, Vinhkhang N. Nguyen, Katie Maurer, Shuqiang Li, Kenneth J. Livak, Emerie E Danson, Bijal Thakkar, Elham Azizi, , Pavan Bachireddy

This study identifies ASXL1 truncating mutations as a driver of leukemic resistance to T cell attack and proposes EZH2 inhibition as a therapeutic strategy to overcome this resistance.

bioRxiv · May 29, 2025 · PreprintCancer Biology

DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data

Cameron Y. Park, Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Teddy Huang, Shuqiang Li, Satyen Harish Gohil, Kenneth J. Livak, David A. Knowles, Catherine J. Wu, Elham Azizi

DIISCO infers dynamic intercellular interactions from time-series single-cell data using a Bayesian framework, showing its ability to capture time-dependent communication patterns in simulated and CAR-T cell data.

Genome Research · Sep 1, 2024Peer-reviewedBioinformatics