Author

Matthew Watson

Lunenfeld-Tanenbaum Research Institute

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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Bioinformatics· 2 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:software / tool· 2 Assay:spatial transcriptomics· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Golnaz Abazari· 3 shared Hartland Warren JacksoniD· 3 shared Kieran R. CampbelliD· 3 shared Ayelet BorgidaiD· 2 shared Jennifer L. GormaniD· 2 shared Julie M. WilsoniD· 2 shared Michael J. GeuenichiD· 2 shared Miralem MrkonjiciD· 2 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Golnaz Abazari

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Rakaia: interactive discovery of spatial biology at scale

Matthew Watson, Golnaz Abazari, Edward L.Y. Chen, Tiak Ju Tan, Jennifer L. Gorman, Caroline Diorio, Hal K. Berman, Kieran R. Campbell, Hartland Warren Jackson

Rakaia enables interactive exploration of spatial biology data through a browser-based platform, identifying cell types in non-malignant human breast tissue.

bioRxiv · Aug 15, 2025 · PreprintBioinformatics

Integrated spatial proteomics of human PDAC uncovers an expanded tumour-immune-stroma spectrum with genomic associations

Noor E. Shakfa, Ferris Nowlan, Sibyl Drissler, Tiak Ju Tan, Elizabeth Sunnucks, E. Chen, Cassandra J. Wong, Brendon Seale, Zhen‐Yuan Lin, Michelle Chan‐Seng‐Yue, Amy Xin Wei Zhang, Sabiq Chaudhary, Chengxin Yu, Golnaz Abazari, Michael J. Geuenich, , Hartland Warren Jackson

This study integrates spatial proteomics and genomics in PDAC to identify tumour-immune-stroma interactions and their genomic associations, showing multi-omics models improve patient survival prediction.

bioRxiv · Aug 15, 2025 · PreprintCancer Biology

Interactive design and validation of antibody panels using single-cell RNA-seq atlases

Matthew Watson, Simon Latour, Golnaz Abazari, Michael J. Geuenich, Eunice Poon, Ruonan Cao, Miralem Mrkonjic, Alison P. McGuigan, Hartland Warren Jackson, Kieran R. Campbell

The paper introduces Cytomarker, an interactive platform for designing antibody panels using single-cell RNA-seq data, and validates it on human mammary tissue subpopulations.

bioRxiv · Oct 15, 2024 · PreprintBioinformatics

Meta-analysis of 1,200 transcriptomic profiles identifies a prognostic model for pancreatic ductal adenocarcinoma

Vandana Sandhu, Knut Jørgen Labori, Ayelet Borgida, Ilinca M. Lungu, John M.S. Bartlett, Sara Hafezi‐Bakhtiari, Robert Edward Denroche, Gun Ho Jang, Danielle Pasternack, Faridah Mbabaali, Matthew Watson, Julie M. Wilson, Elin Hegland Kure, Steve Gallinger, Benjamin Haibe‐Kains

The paper develops a prognostic model for pancreatic ductal adenocarcinoma using meta-analysis of transcriptomic data, identifying gene pairs associated with early mortality after surgery.

JCO Clinical Cancer Informatics · May 9, 2019Peer-reviewedGenomics