Author

K. A. Wakelin

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 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

D. A. Eccles· 2 shared F. Ronchese· 2 shared J. Yang· 2 shared A. A. Smith· 1 shared A. L. Shepherd· 1 shared A. Sher· 1 shared C. R. Mackay· 1 shared D. Jankovic· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersImmunology

D. A. Eccles

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2 papers

Recent·Most cited

The skin environment controls local dendritic cell differentiation and function through innate IL-13

J. U. Mayer, O. Lamiable, K. L. Hilligan, J. S. Chandler, S. I. Old, D. A. Eccles, J. Yang, G. R. Webb, R. G. Domingues, L. Munoz-Erazo, K. A. Wakelin, E. J. Hyde, S.-C. Tang, S. C. Chappell, C. R. Mackay, , F. Ronchese

This study shows that IL-13 signaling via STAT6 and KLF4 controls dermal DC2 differentiation and function, shaping a non-inflammatory, pro-allergic skin environment.

bioRxiv · Jan 5, 2021Immunology

A semi-automated technique for adenoma quantification in the ApcMin mouse using FeatureCounter

A. L. Shepherd, A. A. Smith, K. A. Wakelin, S. Kuhn, J. Yang, D. A. Eccles, F. Ronchese

The paper introduces a semi-automated method for adenoma quantification in ApcMin mice using FeatureCounter, achieving comparable sensitivity and specificity to manual counting.

bioRxiv · Sep 1, 2019Cancer Biology