Fourier-transform Infrared (FT-IR) spectroscopy fingerprints subpopulations of extracellular vesicles of different sizes and cellular origin

Year: 2020

Authors: Paolini L., Federici S., Consoli G., Arceri D., Radeghieri A., Alessandri I., Bergese P.

Autors Affiliation: Univ Brescia, Dept Mol & Translat Med, Brescia, Italy; Univ Florence, Dept Chem, CSGI, Sesto Fiorentino, FI, Italy; Univ Brescia, Dept Mech & Ind Engn, Via Branze 38, I-25123 Brescia, Italy; Consorzio Interuniv Nazl Sci & Tecnol Mat INSTM, Florence, Italy; Univ Brescia, Dept Informat Engn, Brescia, Italy; Natl Res Council Italy CNR INO, Natl Inst Opt, Unit Brescia, Brescia, Italy; Natl Res Council Italy, Inst Biomed Res & Innovat, Palermo, Italy.

Abstract: Identification of extracellular vesicle (EV) subpopulations remains an open challenge. To date, the common strategy is based on searching and probing set of molecular components and physical properties intended to be univocally characteristics of the target subpopulation. Pitfalls include the risk to opt for an unsuitable marker set – which may either not represent the subpopulation or also cover other unintended subpopulations – and the need to use different characterization techniques and equipment. This approach focused on specific markers may result inadequate to routinely deal with EV subpopulations that have an intrinsic high level of heterogeneity. In this paper, we show that Fourier-transform Infrared (FT-IR) spectroscopy can provide a collective fingerprint of EV subpopulations in one single experiment. FT-IR measurements were performed on large (LEVs, 600 nm), medium (MEVs, 200 nm) and small (SEVs 60 nm) EVs enriched from two different cell lines medium: murine prostate cancer (TRAMP-C2) and skin melanoma (B16). Spectral regions between 3100-2800 cm(-1) and 1880-900 cm(-1), corresponding to functional groups mainly ascribed to lipid and protein contributions, were acquired and processed by Principal Component Analysis (PCA). LEVs, MEVs and SEVs were separately grouped for both the considered cell lines. Moreover, subpopulations of the same size but from different sources were assigned (with different degrees of accuracy) to two different groups. These findings demonstrate that FT-IR has the potential to quickly fingerprint EV subpopulations as a whole, suggesting an appealing complement/alternative for their characterization and grading, extendable to healthy and pathological EVs and fully artificial nanovesicles.

Journal/Review: JOURNAL OF EXTRACELLULAR VESICLES

Volume: 9 (1)      Pages from: 1741174-1  to: 1741174-11

More Information: This work was funded by BIOMANE grant (University of Brescia). This work was also supported by the Consorzio Sistemi a Grande Interfase (CSGI) through the evFOUNDRY project, Horizon 2020-Future and emerging technologies (H2020-FETOPEN), ID: 801367 and by Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM).
KeyWords: Extracellular vesicles; Fourier-transform Infrared spectroscopy (FT-IR); Principal Component Analysis (PCA); EV subpopulations; collective fingerprint
DOI: 10.1080/20013078.2020.1741174

Citations: 42
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-10-20
References taken from IsiWeb of Knowledge: (subscribers only)
Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here