Author

F. Frassoni

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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Cancer Biology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1

Frequent Co-Authors

S. Ravera· 2 shared A. Ali· 1 shared A. Petretto· 1 shared B. M. Aljamal· 1 shared B. Yuan· 1 shared C. Bi· 1 shared D. Cilloni· 1 shared D. Marimpietri· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCancer Biology

S. Ravera

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Wiskott-Aldrich Syndrome Protein Regulates Nucleolar Organization and Function in Innate Immune Response

X. Zhou, B. Yuan, Y. Tian, J. Zhou, M. Wang, I. shakir, Y. Zhang, C. Bi, B. M. Aljamal, M. O. Hashem, O. I. Abuyousef, F. M. Abdulwahab, A. Ali, S. Dunn, J. Moresco, , M. Li

This study shows that WASP regulates nucleolar structure and function, affecting rRNA transcription and inflammatory cytokine response in macrophages.

bioRxiv · Aug 15, 2023 · PreprintCell Biology

IDENTIFICATION OF BIOCHEMICAL AND MOLECULAR MARKERS OF EARLY AGING IN CHILDHOOD CANCER SURVIVORS

S. Ravera, T. Vigliarolo, S. Bruno, F. Morandi, D. Marimpietri, F. Sabatini, M. Dagnino, A. Petretto, M. Bartolucci, M. Muraca, E. Biasin, R. Haupt, M. Zecca, F. Fagioli, D. Cilloni, , F. Frassoni

This study identifies biochemical and molecular markers of early aging in childhood cancer survivors through analysis of metabolic and mitochondrial alterations.

bioRxiv · Apr 1, 2021Cancer Biology

Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells.

S. Sommariva, G. Caviglia, S. Ravera, F. Frassoni, F. Benvenuto, L. Tortolina, N. Castagnino, S. Parodi, M. Piana

The paper develops a computational model to quantify global signaling effects of mutations and drugs in colorectal cancer by simulating chemical reaction networks.

bioRxiv · Dec 30, 2020Cancer Biology