Author

N. Leelatian

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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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. M. Mistry· 2 shared B. C. Mobley· 2 shared J. M. Irish· 2 shared J. Sinnaeve· 2 shared K. D. Weaver· 2 shared L. B. Chambless· 2 shared R. A. Ihrie· 2 shared R. C. Thompson· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersImmunology

A. M. Mistry

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2 papers

Recent·Most cited

Immune cell regulation in stem cell niche contacting glioblastomas.

T. Bartkowiak, S. M. Lima, M. J. Hayes, A. M. Mistry, J. Sinnaeve, N. Leelatian, C. E. Roe, B. C. Mobley, K. D. Weaver, R. C. Thompson, L. B. Chambless, R. A. Ihrie, J. M. Irish

This study shows that glioblastomas contacting the lateral ventricle have distinct immune features, including elevated T cell checkpoint receptors and suppressive myeloid cells, suggesting new therapeutic targets.

bioRxiv · Feb 16, 2022 · PreprintImmunology

High risk glioblastoma cells revealed by machine learning and single cell signaling profiles

N. Leelatian, J. Sinnaeve, A. M. Mistry, S. M. Barone, K. E. Diggins, A. R. Greenplate, K. D. Weaver, R. C. Thompson, L. B. Chambless, B. C. Mobley, R. A. Ihrie, J. M. Irish

This paper introduces RAPID, an unsupervised machine learning algorithm that identifies single cell phenotypes and assesses clinical risk stratification in glioblastoma patients using single cell mass cytometry data.

bioRxiv · Jun 1, 2019Cancer Biology