Author

Renuka Teague

University of Oxford

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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Genomics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Clare Verrill· 2 shared Dan J. WoodcockiD· 2 shared Fadi IssaiD· 2 shared Jens RittscheriD· 2 shared Joanna HesteriD· 2 shared A. Magnussen· 1 shared A.M. Erickson· 1 shared Adam J. MeadiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Clare Verrill

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Author profile →

3 papers

Recent·Most cited

Scalable spatial DNA sequencing from archival tissue maps copy number subclones

Cristian Soitu, Ugur Sahin, Anette Magnussen, Ashley Wong, Willem Bonnaffé, Mengran Fan, Merve Bilici, Simon Davis, Román Fischer, Jasmine Reese, Toby House, Sorayya Moradi, Renuka Teague, Olaf Ansorge, Stefano Malacrino, , Srinivasa R. Rao

This paper introduces ARMS DNAseq, a scalable spatial genomic assay that maps copy number subclones in archival tissue, revealing tumor evolution and subclone associations with morphology and transcriptomic features.

bioRxiv · Aug 27, 2026 · PreprintGenomics

Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis

Rosalin A. Cooper, Emily Simon Thomas, Muhammad Dawood, Hosuk Ryou, Anna M. Sozanska, Carlo Pescia, Oliver McCallion, Muskaan Gupta, Renuka Teague, Joanna Hester, Fadi Issa, Dan J. Woodcock, Bethan Psaila, Adam J. Mead, Jens Rittscher, Daniel J. Royston

This study uses spatial transcriptomic analysis and machine learning to redefine the topology of human bone marrow in health and myeloproliferative neoplasms, revealing new insights into cellular heterogeneity and fibrosis.

bioRxiv · Dec 23, 2025 · PreprintCancer Biology

Spatial transcriptomic analysis of virtual prostate biopsy reveals confounding effect of heterogeneity on genomic signature scoring

Sandy Figiel, W. Yin, Dimitrios Doultsinos, A.M. Erickson, Ninu Poulose, Roshan Ajeet Singh, A. Magnussen, Thineskrishna Anbarasan, Renuka Teague, Mengxiao He, Joakim Lundeberg, Massimo F. Loda, Clare Verrill, Richard Colling, Pelvender S. Gill, , Alastair D. Lamb

The paper uses spatial transcriptomic data to show that bulk genomic signature scoring in prostate cancer biopsies is confounded by tumour heterogeneity, leading to inaccurate risk assessments.

European Urology · Feb 1, 2023Peer-reviewedGenomics