Author

A. Fiore-Gartland

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 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1

Frequent Co-Authors

K. Mayer-Blackwell· 2 shared A. Kapaata· 1 shared A. M. F. Johnson· 1 shared A. Souquette· 1 shared C. Streatfield· 1 shared D. Monaco· 1 shared D. Morrison· 1 shared D. Weissman· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersImmunology

K. Mayer-Blackwell

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Author profile →

3 papers

Recent·Most cited

The Regulation of Nucleic Acid Vaccine Responses by the Microbiome

A. M. F. Johnson, K. Hager, M.-G. Alameh, P. Van, N. Potchen, K. Mayer-Blackwell, A. Fiore-Gartland, S. Minot, P. J. C. Lin, Y. K. Tam, D. Weissman, J. G. Kublin

This study shows the microbiome affects nucleic acid vaccine responses differently depending on the vaccine type, enhancing mRNA-LNP responses but suppressing DNA-prime/DNA-protein-boost responses.

bioRxiv · Feb 18, 2023Immunology

TCR meta-clonotypes for biomarker discovery with tcrdist3: identification of public, HLA-restricted SARS-CoV-2 associated TCR features

K. Mayer-Blackwell, S. Schattgen, L. Cohen-Lavi, J. C. Crawford, A. Souquette, J. A. Gaevert, T. Hertz, P. G. Thomas, P. Bradley, A. Fiore-Gartland

The paper introduces meta-clonotypes for TCR analysis, identifies HLA-restricted SARS-CoV-2 TCR features, and develops tcrdist3 for repertoire analysis.

bioRxiv · Dec 24, 2020Immunology

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response

E. McGowan, R. Rosenthal, A. Fiore-Gartland, G. Macharia, S. Balinda, A. Kapaata, E. Muok, G. Umviligihozo, J. Dalel, C. Streatfield, H. Coutinho, D. Monaco, D. Morrison, L. Yue, E. Hunter, , J. Hare

The paper uses computational models to identify immunogenic regions in the HIV proteome by analyzing HLA diversity and CD8 T-cell immune repertoires, offering a pipeline for vaccine design.

bioRxiv · Aug 15, 2020Immunology