Author

C. Romualdi

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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Cell Biology· 1 Ecology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:biophysical modeling· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Organism:human· 1

Frequent Co-Authors

A. Aigelsreiter· 1 shared A. Ardizzoni· 1 shared A. Biscontin· 1 shared A. D'Errico· 1 shared A. Peng· 1 shared B. Meyer· 1 shared C. Bertolucci· 1 shared C. Chang· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperPathology

A. Aigelsreiter

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Author profile →

3 papers

Recent·Most cited

Spatial compartmentalization of signalling imparts source-specific functions on secreted factors

F. M. Rossi, E. Groppa, P. Martini, N. Derakhshan, M. Theret, M. Ritso, L. W. Tung, Y. X. Wang, H. Soliman, M. S. Hamer, L. Stankiewicz, C. Eisner, E. Le Neve, C. Chang, L. Yi, , C. Romualdi

The paper identifies distinct functions of VEGFA from different cell types in skeletal muscle regeneration through time-resolved transcriptomic analysis and functional experiments.

bioRxiv · Aug 20, 2022 · PreprintCell Biology

The most comprehensive annotation of the Krill transcriptome provides new insights for the study of physiological processes and environmental adaptation

I. Urso, A. Biscontin, D. Corso, C. Bertolucci, C. Romualdi, C. De Pitta, B. Meyer, G. Sales

This study annotates the krill transcriptome and provides a database with gene expression profiles and differential expression analysis across various conditions.

bioRxiv · Jul 15, 2021 · PreprintEcology

Molecular diagnosis and prognosis of cancers of unknown-primary (CUPs): progress from a microRNA-based droplet digital PCR assay

N. Laprovitera, M. Riefolo, E. Porcellini, G. Durante, I. Garajova, F. Vasuri, A. Aigelsreiter, N. Dandachi, G. Benvenuto, F. Agostinis, S. Sabbioni, I. Berindan-Neagoe, C. Romualdi, A. Ardizzoni, D. Trere, , M. Ferracin

This study uses a microRNA-based droplet digital PCR assay to identify the tissue-of-origin and predict prognosis in cancers of unknown primary (CUPs).

bioRxiv · Feb 3, 2021Pathology