Author

S. A. Long

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· 4

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Assay:flow cytometry· 4 Organism:human· 4 Research Focus:differential expression· 3 Approach:experimental assay· 3 Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

C. Speake· 3 shared J. H. Buckner· 3 shared A. E. Wiedeman· 2 shared A. Arnett· 1 shared A. K. Savage· 1 shared A. M. Hocking· 1 shared B. Höllbacher· 1 shared B. Khor· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersImmunology

C. Speake

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Author profile →

4 papers

Recent·Most cited

A simple strategy for sample annotation error detection in cytometry datasets

M. Smithmyer, A. E. Wiedeman, D. A. G. Skibinski, A. K. Savage, C. Acosta-Vega, S. Scheiding, V. H. Gersuk, S. A. Long, J. H. Buckner, C. Speake

The paper detects sample annotation errors in cytometry data by comparing HLA allele expression with longitudinal and qPCR data, identifying mismatches in 2.4% of samples.

bioRxiv · Oct 26, 2021Immunology

Permutational immune analysis reveals architectural similarities between inflammaging, Down syndrome and autoimmunity

K. Lambert, K. G. Moo, A. Arnett, G. Goel, K. J. Flynn, C. Speake, A. E. Wiedeman, C. J. Greenbaum, S. A. Long, R. Partridge, J. H. Buckner, B. Khor

The paper uses permutational analysis to reveal advanced immune aging in Down syndrome and type 1 diabetes.

bioRxiv · Sep 13, 2021 · PreprintImmunology

The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity

H. Bolouri, C. Speake, D. Skibinski, S. A. Long, A. M. Hocking, D. J. Campbell, J. A. Hamerman, U. Malhotra, J. H. Buckner, BRI COVID-19 Research Team

This study identifies three immune clusters in COVID-19 patients correlated with disease severity and shows that immune responses change dynamically with clinical outcomes.

bioRxiv · Sep 18, 2020Immunology

Human CD4+CD103+ cutaneous resident memory T cells are found in the circulation of healthy subjects

M. M. Klicznik, P. A. Morawski, B. Höllbacher, S. Varkhande, S. Motley, L. Kuri-Cervantes, E. Goodwin, M. D. Rosenblum, S. A. Long, G. Brachtl, T. Duhen, M. Betts, D. Campbell, I. K. Gratz

The paper identifies human CD4+CD103+ cutaneous resident memory T cells in circulation and shows they can migrate to distant skin sites.

bioRxiv · Mar 14, 2019 · PreprintImmunology