Author

A. Zendrini

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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Biochemistry· 2 Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

A. Radeghieri· 3 shared P. Bergese· 3 shared A. Gori· 2 shared G. Bergamaschi· 2 shared L. Barile· 2 shared M. Cretich· 2 shared M. Romano· 2 shared R. Frigerio· 2 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBiochemistry

A. Radeghieri

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Addressing heterogeneity in direct analysis of Extracellular Vesicles and analogues using Membrane-Sensing Peptides as Pan-Affinity Probes

A. Gori, R. Frigerio, P. Gagni, J. Burrello, S. Panella, A. Raimondi, G. Bergamaschi, G. Lodigiani, M. Romano, A. Zendrini, A. Radeghieri, L. Barile, M. Cretich

This paper introduces Membrane-Sensing Peptides (MSP) as universal affinity ligands for analyzing Extracellular Vesicles and analogues, demonstrating their ability to detect EV-associated epitopes in clinical samples without prior isolation.

bioRxiv · Dec 20, 2023 · PreprintBiochemistry

A decision-making tool to navigate through Extracellular Vesicle research and product development

F. Loria, S. Picciotto, G. Adamo, A. Zendrini, S. Raccosta, M. Manno, P. Bergese, G. L. Liguori, A. Bongiovanni, N. Zarovni

The paper introduces a decision-making grid (EV-DMG) to help researchers navigate EV research and product development by evaluating key criteria for EV sources, samples, and pipelines.

bioRxiv · Nov 16, 2023 · PreprintCell Biology

Compositional profiling of extracellular vesicles/lipoproteins mixtures by AFM nanomechanical imaging

A. Ridolfi, L. Conti, M. Brucale, R. Frigerio, J. Cardellini, A. Musico, M. Romano, A. Zendrini, L. Polito, G. Bergamaschi, A. Gori, C. Montis, L. Barile, D. Berti, A. Radeghieri, , F. Valle

This paper introduces an AFM-based method to distinguish and quantify lipoproteins and extracellular vesicles in mixed samples using nanomechanical imaging.

bioRxiv · Jul 19, 2022Biophysics

Active antithrombin glycoforms are selectively physiosorbed on plasma extracellular vesicles

A. Radeghieri, S. Alacqua, A. Zendrini, V. Previcini, F. Todaro, G. Martini, D. Ricotta, P. Bergese

The paper identifies active antithrombin glycoforms selectively physiosorbed on plasma extracellular vesicles, suggesting glycosylation influences their partitioning and potential diagnostic utility.

bioRxiv · Jul 16, 2021Biochemistry