Author

R. McNeil

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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Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

P. Bose· 2 shared A. Chanda· 1 shared B. Wong· 1 shared C. Cao· 1 shared C. D'Mello· 1 shared C. Poon· 1 shared D. Samuel· 1 shared F. Visser· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

P. Bose

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Spatially resolved single-cell analysis uncovers protein kinase C-& expressing microglia with anti-tumor activity in glioblastoma

R. Mirzaei, R. McNeil, C. D'Mello, B. Wong, S. Sarkar, F. Visser, C. Poon, P. Bose, V. W. Yong

This study identifies PKCδ-expressing microglia with anti-tumor activity in GBM using spatial transcriptomics and confirms their presence in human samples.

bioRxiv · Dec 4, 2023 · PreprintImmunology

Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response

R. Arora, C. Cao, M. Kumar, S. Sinha, A. Chanda, R. McNeil, D. Samuel, R. K. Arora, T. W. Matthew, S. Chandarana, R. Hart, J. C. Dort, J. Biernaskie, P. Neri, M. D. Hyrcza, P. Bose

This study uses spatial transcriptomics to analyze tumor core and edge regions in OSCC, revealing distinct transcriptional profiles and their clinical implications across multiple cancers.

bioRxiv · Sep 4, 2022Cancer Biology