Author

N. de Souza

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:flow cytometry· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1

Frequent Co-Authors

B. Bodenmiller· 3 shared A. Jacobs· 2 shared A. Rudiger· 1 shared C. Cervia· 1 shared C. Langwieder· 1 shared C. Soneson· 1 shared D. J. Schaer· 1 shared E. Bächli· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersCancer Biology

B. Bodenmiller

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Cancer-Associated Fibroblast Classification Framework for Single-Cell Data

L. Cords, S. Tietscher, T. Anzeneder, C. Langwieder, M. Rees, N. de Souza, B. Bodenmiller

The paper classifies cancer-associated fibroblasts (CAFs) using single-cell RNA sequencing data from breast cancer patients and validates the classification in other cancer types.

bioRxiv · Dec 14, 2022 · PreprintCancer Biology

Mass Cytometric and Transcriptomic Profiling of Epithelial-Mesenchymal Transitions in Human Mammary Cell Lines

J. Wagner, M. Masek, A. Jacobs, C. Soneson, N. Damond, N. de Souza, M. D. Robinson, B. Bodenmiller

The paper profiles EMT transition phenotypes in human mammary cell lines using mass cytometry and transcriptomics to understand phenotypic diversity across time and cell lines.

bioRxiv · Mar 26, 2021Cell Biology

A distinct innate immune signature marks progression from mild to severe COVID-19

S. Chevrier, Y. Zurbuchen, C. Cervia, S. Adamo, M. E. Raeber, N. de Souza, S. Sivapatham, A. Jacobs, E. Bächli, A. Rudiger, M. Stüssi-Helbling, L. C. Huber, D. J. Schaer, J. Nilsson, O. Boyman, B. Bodenmiller

The paper identifies an innate immune signature associated with progression from mild to severe COVID-19 using mass cytometry and proteomics.

bioRxiv · Aug 4, 2020Immunology