Silvia Picciolini

Dr. Silvia Picciolini

IRCCS Fondazione Don C. Gnocchi, Milan, Italy
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 July 2018 in Analytical Chemistry
Verified
Journal Article
Closed access
SPSilvia Picciolini
Silvia Picciolini
Alice GualerziAlice Gualerzi
Alice Gualerzi
RVRenzo Vanna
Renzo Vanna
ASAndrea Sguassero
Andrea Sguassero
FGFurio Gramatica
Furio Gramatica
Carlo Francesco MorassoCarlo Francesco Morasso
Carlo Francesco Morasso

29 August 2017 in Scientific Reports
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Journal Article
Open access
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Alice GualerziAlice Gualerzi
Alice Gualerzi
SNStefania Niada
Stefania Niada
CGChiara Giannasi
Chiara Giannasi
SPSilvia Picciolini
Silvia Picciolini
Carlo Francesco MorassoCarlo Francesco Morasso
Carlo Francesco Morasso
FGFurio Gramatica
Furio Gramatica
Extracellular vesicles (EVs) from mesenchymal stromal cells (MSC) are emerging as valuable therapeutic agents for tissue regeneration and immunomodulation, but their clinical applications have so far been limited by the technical restraints of current isolation and characterisation procedures. This study shows for the first time the successful application of Raman spectroscopy as label-free, sensitive and reproducible means of carrying out the routine bulk characterisation of MSC-derived vesicles before their use in vitro or in vivo, thus promoting the translation of EV research to clinical practice. The Raman spectra of the EVs of bone marrow and adipose tissue-derived MSCs were compared with human dermal fibroblast EVs in order to demonstrate the ability of the method to distinguish the vesicles of the three cytotypes automatically with an accuracy of 93.7%. Our data attribute a Raman fingerprint to EVs from undifferentiated and differentiated cells of diverse tissue origin, and provide insights into the biochemical characteristics of EVs from different sources and into the differential contribution of sphingomyelin, gangliosides and phosphatidilcholine to the Raman spectra themselves.

27 January 2019 in Journal of Extracellular Vesicles
Verified
Journal Article
Open access
Alice GualerziAlice Gualerzi
Alice Gualerzi
SKSander Alexander Antonius Kooijmans
Sander Alexander Antonius Kooijmans
SNStefania Niada
Stefania Niada
SPSilvia Picciolini
Silvia Picciolini
ABAnna Teresa Brini
Anna Teresa Brini
MBMarzia Bedoni
Marzia Bedoni
Extracellular vesicles (EVs) from a variety of stem cell sources are believed to harbour regenerative capacity, which may be exploited for therapeutic purposes. Because of EV interaction with other soluble secreted factors, EV activity may depend on the employed purification method, which limits cross‐study comparisons and therapeutic development. Raman spectroscopy (RS) is a quick and easy method to assess EV purity and composition, giving in‐depth biochemical overview on EV preparation. Hereby, we show how this method can be used to characterise EVs isolated from human liver stem cells and bone marrow mesenchymal stem/stromal cells by means of conventional ultracentrifugation (UC) and size exclusion chromatography (SEC) protocols. The obtained EV preparations were demonstrated to be characterised by different degrees of purity and a specific Raman fingerprint that represents both the cell source and the isolation procedure used. Moreover, RS provided useful hints to explore the factors underlying the functional diversity of EV preparations from the same cell source, thus representing a valuable tool to assess EV quality prior to functional assays or therapeutic application.

17 April 2020 in Journal of Extracellular Vesicles
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Journal Article
Open access
AGAlessandro Gori
Alessandro Gori
ARAlessandro Romanato
Alessandro Romanato
GBGreta Bergamaschi
Greta Bergamaschi
ASAlessandro Strada
Alessandro Strada
PGPaola Gagni
Paola Gagni
Marina CretichMarina Cretich
Marina Cretich
Small extracellular vesicles (sEVs) present fairly distinctive lipid membrane features in the extracellular environment. These include high curvature, lipid‐packing defects and a relative abundance in lipids such as phosphatidylserine and ceramide. sEV membrane could be then considered as a “universal” marker, alternative or complementary to traditional, characteristic, surface‐associated proteins. Here, we introduce the use of membrane‐sensing peptides as new, highly efficient ligands to directly integrate sEV capturing and analysis on a microarray platform. Samples were analysed by label‐free, single‐particle counting and sizing, and by fluorescence co‐localisation immune staining with fluorescent anti‐CD9/anti‐CD63/anti‐CD81 antibodies. Peptides performed as selective yet general sEV baits and showed a binding capacity higher than anti‐tetraspanins antibodies. Insights into surface chemistry for optimal peptide performances are also discussed, as capturing efficiency is strictly bound to probes surface orientation effects. We anticipate that this new class of ligands, also due to the versatility and limited costs of synthetic peptides, may greatly enrich the molecular toolbox for EV analysis.

19 December 2014 in The Analyst
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Journal Article
Closed access
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RVRenzo Vanna
Renzo Vanna
PRP. Ronchi
P. Ronchi
ALA. T. M. Lenferink
A. T. M. Lenferink
CTC. Tresoldi
C. Tresoldi
Carlo Francesco MorassoCarlo Francesco Morasso
Carlo Francesco Morasso
FGFurio Gramatica
Furio Gramatica
Heamatopoietic cancer cells from patients were objectively and accurately recognized by high-resolution Raman imaging and their characteristic Raman spectra.

Verified
Journal Article
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CACristina Agliardi
Cristina Agliardi
FGFranca Guerini
Franca Guerini
MZMilena Zanzottera
Milena Zanzottera
EBElisabetta Bolognesi
Elisabetta Bolognesi
SPSilvia Picciolini
Silvia Picciolini
mario clericimario clerici
mario clerici
Approximately 15% of multiple sclerosis (MS) patients develop a progressive form of disease from onset; this condition (primary progressive-PP) MS is difficult to diagnose and treat, and is associated with a poor prognosis. Extracellular vesicles (EVs) of brain origin isolated from blood and their protein cargoes could function as a biomarker of pathological conditions. We verified whether MBP and MOG content in oligodendrocytes-derived EVs (ODEVs) could be biomarkers of MS and could help in the differential diagnosis of clinical MS phenotypes. A total of 136 individuals (7 clinically isolated syndrome (CIS), 18 PPMS, 49 relapsing remitting (RRMS)) and 70 matched healthy controls (HC) were enrolled. ODEVs were enriched from serum by immune-capture with anti-MOG antibody; MBP and MOG protein cargoes were measured by ELISA. MBP concentration in ODEVs was significantly increased in CIS (p < 0.001), RRMS (p < 0.001) and PPMS (p < 0.001) compared to HC and was correlated with disease severity measured by EDSS and MSSS. Notably, MBP concentration in ODEVs was also significantly augmented in PPMS compared to RRMS (p = 0.004) and CIS (p = 0.03). Logistic regression and ROC analyses confirmed these results. A minimally invasive blood test measuring the concentration of MBP in ODEVs is a promising tool that could facilitate MS diagnosis.