Raman tweezers microspectroscopy of <i>circa</i> 100 nm extracellular vesicles

Kruglik, Sergei G.; Royo, Félix; Guigner, Jean‐Michel; Palomo, Laura; Seksek, Olivier; Turpin, Pierre‐Yves; Tatischeff, Irène; Falcón‐Pérez, Juan Manuel

doi:10.1039/c8nr04677h

Cited by 81 publications

(84 citation statements)

References 125 publications

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“…Hence, it has become clear that enrichment of tdEVs is needed prior to Raman analysis. Nevertheless, spontaneous Raman spectroscopy provides information on the chemical composition of single or multiple EVs in solution or on a surface in a noninvasive and label-free manner (18,25,46,(48)(49)(50)(51)(52).…”

Section: Relevance For Cancer Diagnosticsmentioning

confidence: 99%

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

et al. 2020

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Extracellular vesicles (EVs) have great potential as biomarkers since their composition and concentration in biofluids are disease state dependent and their cargo can contain disease-related information. Large tumor-derived EVs (tdEVs, >1 µm) in blood from cancer patients are associated with poor outcome, and changes in their number can be used to monitor therapy effectiveness. Whereas, small tumor-derived EVs (<1 µm) are likely to outnumber their larger counterparts, thereby offering better statistical significance, identification and quantification of small tdEVs are more challenging. In the blood of cancer patients, a subpopulation of EVs originate from tumor cells, but these EVs are outnumbered by non-EV particles and EVs from other origin. In the Dutch NWO Perspectief Cancer-ID program, we developed and evaluated detection and characterization techniques to distinguish EVs from non-EV particles and other EVs. Despite low signal amplitudes, we identified characteristics of these small tdEVs that may enable the enumeration of small tdEVs and extract relevant information. The insights obtained from Cancer-ID can help to explore the full potential of tdEVs in the clinic.

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Section: Relevance For Cancer Diagnosticsmentioning

confidence: 99%

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

et al. 2020

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“…The global molecular compositions of Dictyostelim EVs, either derived from growing cells or from aggregating cells were found to be quite different [125]. A thorough study of this technology has recently been published [126], which will potentially be useful for the molecular characterization of single (or a few) EV(s) in pre-defined EV subpopulations.…”

Section: Dictyostelium As a Model For Studying Mammalian Extracellmentioning

confidence: 99%

Dictyostelium: A Model for Studying the Extracellular Vesicle Messengers Involved in Human Health and Disease

Tatischeff

2019

Cells

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Cell-derived extracellular vesicles (EVs) are newly uncovered messengers for intercellular communication. They are released by almost all cell types in the three kingdoms, Archeabacteria, Bacteria and Eukaryotes. They are known to mediate important biological functions and to be increasingly involved in cell physiology and in many human diseases, especially in oncology. The aim of this review is to recapitulate the current knowledge about EVs and to summarize our pioneering work about Dictyostelium discoideum EVs. However, many challenges remain unsolved in the EV research field, before any EV application for theranostics (diagnosis, prognosis, and therapy) of human cancers, can be efficiently implemented in the clinics. Dictyostelium might be an outstanding eukaryotic cell model for deciphering the utmost challenging problem of EV heterogeneity, and for unraveling the still mostly unknown mechanisms of their specific functions as mediators of intercellular communication.

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“…This drawback is often circumvented by coupling the analytes with plasmonic nanoparticles (SERS) [15,16], by labelling them with organic dyes (Raman reporters), or immune-labelling with nanoprobes [17]. These strategies allowed to distinguish EVs from various sources, disease contexts [18,19] and singlevesicle analysis [20][21][22]. SERS-active nanostructures can enhance the Raman signals of target molecules by several orders of magnitude, but can have problems in stability, poor reproducibility, and sample damaging according to their material composition and architecture [23,24].…”

Section: Introductionmentioning

confidence: 99%

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

Paolini

Federici

Consoli

et al. 2020

J of Extracellular Vesicle

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2020) Fourier-transform Infrared (FT-IR) spectroscopy fingerprints subpopulations of extracellular vesicles of different sizes and cellular 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 setwhich may either not represent the subpopulation or also cover other unintended subpopulationsand 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. ARTICLE HISTORY

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Raman tweezers microspectroscopy of circa 100 nm extracellular vesicles

Abstract: Characterization of nanoscale extracellular vesicles by Raman tweezers microspectroscopy is described in detail. Intra-sample biomolecular heterogeneity is revealed for individual exosomes from human urine and rat hepatocytes.

Cited by 81 publications

References 125 publications

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

Dictyostelium: A Model for Studying the Extracellular Vesicle Messengers Involved in Human Health and Disease

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

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