Author

D. Shinko

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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Immunology· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:flow cytometry· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. M. Pesenacker· 2 shared L. R. Wedderburn· 2 shared M. H. Attrill· 2 shared M. Kartawinata· 2 shared A. G. Spiteri· 1 shared A. L. Smith· 1 shared B. Jebson· 1 shared CHARMS and JIAP Studies· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersImmunology

A. M. Pesenacker

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Treg fitness as a biomarker for disease activity in Juvenile Idiopathic Arthritis

M. H. Attrill, D. Shinko, T. M. Viveiros, M. Milighetti, N. M. Gruijter, B. Jebson, M. Kartawinata, E. C. Rosser, L. R. Wedderburn, CHARMS and JIAP Studies, A. M. Pesenacker

The paper develops a Treg gene and protein signature to predict disease activity in Juvenile Idiopathic Arthritis using machine learning and flow cytometry.

bioRxiv · Apr 24, 2024 · PreprintImmunology

The immune landscape of the inflamed joint defined by spectral flow cytometry

M. H. Attrill, D. Shinko, V. Alexiou, M. Kartawinata, L. R. Wedderburn, CHARMS study, JIAP study, A. M. Pesenacker

This study uses spectral flow cytometry to characterize the immune landscape of inflamed joints in JIA, identifying site-specific immune cell phenotypes and potential therapeutic targets.

bioRxiv · Nov 30, 2023Immunology

Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre

T. M. Ashhurst, F. Marsh-Wakefield, G. H. Putri, A. G. Spiteri, D. Shinko, M. N. Read, A. L. Smith, N. J. C. King

Spectre is an R package for integrating and analyzing high-dimensional cytometry data, supporting flow, mass, and spectral cytometry, as well as scRNA-seq and imaging data.

bioRxiv · Oct 22, 2020Immunology