Author

M. Andreatta

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 Research Focus:differential expression· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

S. J. Carmona· 2 shared A. Sette· 1 shared A. Tjitropranoto· 1 shared B. Alvarez· 1 shared B. Peters· 1 shared C. Lopez-Rodriguez· 1 shared C. M. Barra· 1 shared D. Cropp· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

S. J. Carmona

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NFAT5 induction by the tumor microenvironment enforces CD8 T cell exhaustion

L. Tille, D. Cropp, G. Bodley, M. Andreatta, M. Charmoy, I. Crespo-Casajus, S. Nassiri, J. Lourenco, M. M. Leblond, C. Lopez-Rodriguez, D. E. Speiser, S. J. Carmona, W. Held, G. Verdeil

This study identifies NFAT5 as a key driver of CD8 T cell exhaustion in the tumor microenvironment, showing its role in reducing tumor control and its absence improving it.

bioRxiv · Mar 15, 2022Immunology

A single-cell reference atlas delineates CD4+ T cell subtype-specific adaptation during acute and chronic viral infections

M. Andreatta, Z. Sherman, A. Tjitropranoto, M. C. Kelly, T. Ciucci, S. J. Carmona

This study constructs a single-cell reference atlas of CD4+ T cell states during acute and chronic viral infections, identifying six distinct transcriptional states and their dynamics.

bioRxiv · Sep 20, 2021Immunology

Footprints of antigen processing boost MHC class II natural ligand binding predictions

C. M. Barra, B. Alvarez, S. Paul, A. Sette, B. Peters, S. Buus, M. Andreatta, M. Nielsen

This study develops MHC class II ligand binding predictors trained on naturally eluted peptides, showing improved performance by incorporating antigen processing rules.

bioRxiv · Aug 6, 2018Immunology