Author

J. Dagher

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· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

D. Barras· 2 shared D. Dangaj Laniti· 2 shared E. Ghisoni· 2 shared F. Benedetti· 2 shared G. Coukos· 2 shared M. Bassani-Sternberg· 2 shared M. Morotti· 2 shared N. Fahr· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

D. Barras

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Myeloid cell networks determine reinstatement of original immune environments in recurrent ovarian cancer

E. Ghisoni, F. Benedetti, A. Minasyan, P. Cunnea, A. J. Grimm, N. Fahr, M. Desbuisson, C. Capt, N. Rayroux, D. C. Gulhan, J. Dagher, D. Barras, M. Morotti, J. A. Marin Jimenez, F. De Carlo, , D. Dangaj Laniti

The paper identifies immune phenotypes and myeloid cell networks in recurrent ovarian cancer that influence prognosis and immune environment reinstatement.

bioRxiv · May 2, 2024 · PreprintImmunology

Tumor Microenvironment Cellular Crosstalk Predicts Response to Adoptive TIL Therapy in Melanoma

D. Barras, E. Ghisoni, J. Chiffelle, A. Orcurto, J. Dagher, N. Fahr, F. Benedetti, I. Crespo, S. Zimmermann, R. Duran, M. Imbimbo, M. Ochoa De Olza, B. Navarro, K. Homiscko, S. Bobisse, , G. Coukos

This study identifies CD8+ TIL-myeloid cell networks as predictors of response to adoptive TIL therapy in melanoma using single-cell RNA-seq and spatial proteomic analyses.

bioRxiv · Dec 23, 2022 · PreprintImmunology

Validation of Data Acquisition and Phase Estimation for Quantitative Susceptibility Mapping with a Rotating-Tube Phantom

K. E. Keenan, B. P. Berman, S. Carnicka, S. E. Russek, W.-T. Wang, J. A. Butman, D. L. Pham, J. Dagher

This paper evaluates MRI data acquisition and phase estimation methods for quantitative susceptibility mapping using a rotating-tube phantom, identifying reliable approaches for accurate susceptibility measurements.

bioRxiv · Jun 29, 2021Bioengineering