Author

M. Cretich

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· 3 Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Research Focus:cell type annotation· 3 Organism:human· 3 Assay:proteomics· 3 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

A. Gori· 5 shared G. Bergamaschi· 4 shared R. Frigerio· 4 shared A. Musico· 3 shared A. Radeghieri· 2 shared A. Ridolfi· 2 shared A. Zendrini· 2 shared F. Valle· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersBiochemistry

A. Gori

Mutual co-authors in cluster

Author profile →

5 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

Design and optimization of silicon-based electrokinetic microchip for sensitive detection of small extracellular vesicles

M. Talebian Gevari, S. S. Sahu, F. Stridfeldt, P. Haag, K. Viktorsson, R. Lewensohn, A. Gori, M. Cretich, A. Dev

This paper designs and optimizes a silicon-based electrokinetic microchip for sensitive detection of small extracellular vesicles, achieving a low limit of detection.

bioRxiv · Aug 17, 2022Bioengineering

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

Extracellular Vesicles Analysis in the COVID-19 Era: Insights on Serum Inactivation Protocols Towards Downstream Isolation and Analysis

R. Frigerio, A. Musico, M. Brucale, A. Ridolfi, S. Galbiati, R. Vago, G. Bergamaschi, A. Ferretti, M. Chiari, F. Valle, A. Gori, M. Cretich

This study compares heat and solvent-detergent inactivation protocols for serum samples intended for extracellular vesicles analysis, finding differences in EV recovery and contamination levels.

bioRxiv · Dec 10, 2020Biochemistry

SARS-CoV-2 epitope mapping on microarrays highlights strong immune-response to N protein region

A. Musico, R. Frigerio, A. Mussida, L. Barzon, A. Sinigaglia, S. Riccetti, F. Gobbi, C. Piubelli, G. Bergamaschi, M. Chiari, A. Gori, M. Cretich

The paper reports a workflow for identifying SARS-CoV-2 epitopes using peptide microarrays, highlighting a highly specific N protein epitope for serological testing.

bioRxiv · Nov 9, 2020Biochemistry