Author

David M. Patterson

University of California, San Francisco

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genomics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Research Focus:spatial domain detection· 2 Research Focus:batch correction / integration· 1 Approach:deep learning· 1 Organism:mouse· 1

Frequent Co-Authors

Christopher S. McGinnisiD· 2 shared Eric D. ChowiD· 2 shared Zev J. GartneriD· 2 shared Andrew D. GottschoiD· 1 shared Anushka GuptaiD· 1 shared Arjun Arkal RaoiD· 1 shared Daniel N. ConradiD· 1 shared David J. Sukovich· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Christopher S. McGinnisORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling

Michelli F. Oliveira, Juan P. Romero, Meii Chung, Stephen R. Williams, Andrew D. Gottscho, Anushka Gupta, Susan E. Pilipauskas, Seayar Mohabbat, Nandhini Raman, David J. Sukovich, David M. Patterson, Visium HD Development Team, Michelli Faria de Oliveira, Juan Pablo Romero, Sarah E. B. Taylor

This study uses Visium HD spatial transcriptomics to map immune cell populations in colorectal cancer tumor microenvironments, identifying spatially distinct macrophage and T cell subpopulations.

Nature Genetics · Jun 1, 2025Peer-reviewedCancer Biology

ZipSeq : Barcoding for Real-time Mapping of Single Cell Transcriptomes

Kenneth H. Hu, John Paul Eichorst, Christopher S. McGinnis, David M. Patterson, Eric D. Chow, Kelly Kersten, Stephen C. Jameson, Zev J. Gartner, Arjun Arkal Rao, Matthew F. Krummel

ZipSeq maps single-cell transcriptomes in real-time within intact tissues, revealing new gene expression patterns and differentiation trajectories in various biological contexts.

Nature Methods · Jul 6, 2020Peer-reviewedGenomics

MULTI-seq: Scalable sample multiplexing for single-cell RNA sequencing using lipid-tagged indices

Christopher S. McGinnis, David M. Patterson, Juliane Winkler, Daniel N. Conrad, Marco Y. Hein, Vasudha Srivastava, Jennifer L. Hu, Lyndsay M. Murrow, Jonathan S. Weissman, Zena Werb, Eric D. Chow, Zev J. Gartner

The paper introduces MULTI-seq, a method for scalable sample multiplexing in scRNA-seq, enabling analysis of multiple tissues and perturbation experiments while improving data quality.

Nature Methods · Jun 17, 2019Peer-reviewedGenomics