| Literature DB >> 34374936 |
Abhimanyu Thakur1,2, Xiaoshan Ke1,2, Ya-Wen Chen3,4, Pedram Motallebnejad1,2, Kui Zhang1,2, Qizhou Lian5,6,7, Huanhuan Joyce Chen8,9.
Abstract
Extracellular vesicles (EVs) are tiny biological nanovesicles ranging from approximately 30-1000 nm in diameter that are released into the extracellular matrix of most cell types and in biofluids. The classification of EVs includes exosomes, microvesicles, and apoptotic bodies, dependent on various factors such as size, markers, and biogenesis pathways. The transition of EV relevance from that of being assumed as a trash bag to be a key player in critical physiological and pathological conditions has been revolutionary in many ways. EVs have been recently revealed to play a crucial role in stem cell biology and cancer progression via intercellular communication, contributing to organ development and the progression of cancer. This review focuses on the significant research progress made so far in the role of the crosstalk between EVs and stem cells and their niche, and cellular communication among different germ layers in developmental biology. In addition, it discusses the role of EVs in cancer progression and their application as therapeutic agents or drug delivery vehicles. All such discoveries have been facilitated by tremendous technological advancements in EV-associated research, especially the microfluidics systems. Their pros and cons in the context of characterization of EVs are also extensively discussed in this review. This review also deliberates the role of EVs in normal cell processes and disease conditions, and their application as a diagnostic and therapeutic tool. Finally, we propose future perspectives for EV-related research in stem cell and cancer biology.Entities:
Keywords: cancer; exosomal communication; exosomal therapeutics; exosomes; extracellular vesicles; stem cells
Mesh:
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Year: 2021 PMID: 34374936 PMCID: PMC9233731 DOI: 10.1007/s13238-021-00863-6
Source DB: PubMed Journal: Protein Cell ISSN: 1674-800X Impact factor: 15.328
Figure 1Schematic illustration of the biogenesis of EVs and the structure of an exosome. (A) A representative diagram of a typical exosome and its components. In general, the composition of a typical exosome differs significantly; some of the constituents can be found in a specific set of exosomes. (B) A representative diagram showing the biogenesis pathway of various EVs, including exosomes, MVs, and ABs; the release of exosomes follows an endosomal pathway; MVs are released by budding and shedding off the cell membrane, and ABs are released from the apoptotic cells
Figure 2Components of stem cell-niche and the crosstalk between stem cells and stem cell-niche via EVs. (A) A representative diagram showing proposed stem cell-niche forming a dynamic microenvironment based on constituents reported previously. A typical stem cell-niche consists of stem cells, stromal cells, extracellular matrix, soluble factors, neural inputs, a network of blood vessels, and other components including cell adhesion molecules. Different stem cell-niches consist of several other additional components. Nonetheless the components mentioned above are necessarily present in the stem cell-niche for various functions including support and structural information. Adapted from (Jones and Wagers, 2008). (B) A representative diagram depicting various roles of EVs produced from stem cells
Advantage and disadvantages of methods for characterization of EVs.
| NTA | Particle size distribution; concentration (number of particles) | Detect particle in the size range of 10–1000 nm diameter | Requires sample volumes around 500 µL Requires optimization for collection of data and parameters of analysis | (Soo et al., (Palmieri et al., (Filipe et al., |
| DLS | Size distribution; zeta potential | Requires very small sample volume (70 µL) Easy to use (requires optimization for a few parameters) | Poor analysis of heterogeneous populations of particles | (Palmieri et al., (Filipe et al., |
| Tunable Resistive Pulse Sensing (tRPS) | Size distribution, concentration of particles | Length of the resistive pulse is correlated with the particle size Rate of resistive pulses reveals concentration of particles | An indirect method that requires a series of standard sample | (Maas et al., |
| TEM | Size, morphology | Produces high resolution images Electrons that pass through the sample are detected | EVs typically have a divot in their center due to the drying process associated with the sample preparation | (Wu et al., |
| SEM | Size, morphology | Produces high resolution images Scattered electrons are detected | Requires extensive sample preparation EVs typically have a divot in their center due to the drying process associated with the sample preparation | (Wu et al., |
| Cryo-EM | Size, morphology | Samples can be conserved in their native hydrated state Produces better quality and preserved morphology Artifacts can be avoided In combination with TEM, cryo-EM can detect proteins in EVs, and uptake by cells | Requires extensive sample preparation | (Chernyshev et al., |
| Immunogold-EM | Specific protein detection qualitatively | Requires small volume of EVs Can detect the proteins in EVs Can detect multiple proteins in EVs by using different size secondary gold particles Quantify disease specific markers in EVs Better for molecular characterization of EVs | Requires extensive sample preparation | (Cappello et al., |
| Western blot | Specific protein detection quantitatively | Allows molecular characterization of EVs. Allows quantification of proteins in EVs. | Does not allow observation of intact vesicles Not well multiplexed The specificity and reproducibility are limited by the quality of the antibody used Requires large sample volume Extensive sample processing is required Specialized instruments are needed | (Gallagher et al., 2008) |
| ELISA | Specific protein detection quantitatively | Allows quantification of protein in EVs, crucial for molecular characterization of EVs | Requires a large sample volume Extensive sample processing is required Specialized instruments are needed | (Witwer et al., |
| Flow cytometry | Specific protein detection quantitatively | Detection limit is 100–200 nm Allows for high throughput analysis of exosomes Allows for quantification or classification of exosomes based on the antigen expression | Requires a single particle suspension Aggregation of vesicles results in the observation of multiple particles at a single time Requires the immobilization of exosomes on the surface of beads | (Szatanek et al., (Ko et al., |
| Thermophoretic aptasensor (TAS) | Profile EVs as a function of surface protein expression | Inexpensive, fast, and requires small serum volume (less than1 µL) | Currently, TAS profiles one marker per run. Therefore, further development is necessary for high throughput Accuracy needs to be further improved. | (Liu et al., |
| Mass spectroscopy | Proteomic analysis of EVs | Allows the identification and quantification of thousands of EV proteins Can identify missing proteins in the human protein map | Protein interference issue due to the identification of peptides as protein surrogate sequence coverage Requires isolation of homogeneous EV population Characterization of the proteome of EVs isolated from primary cell lines and tissues is challenging | (Rosa-Fernandes et al., |
| SPR | Membrane protein analysis, biophysical properties, protein-protein interaction | Real-time measurement Able to detect low affinity antibodies or antigens, a calibration-free concentration analysis Elimination of labels Requires low sample volume | Requires high sensitivity and specificity for the detection of biomarker at the early stage of disease progression The sensor chip requires functionalization of ligands | (Thakur et al., |
| AFM | Membrane protein analysis, biophysical properties, topology, surface characteristics | Can detect EVs in liquid as well as air mode Produces topographical pictures of EVs Allows quantification and imaging of EVs Specific EVs can be detected via immobilization of antibodies Extensive sample preparation is not required Resolution limit is around 1 nm | Requires specific stages such as mica for immobilization. Requires probe for the detection of EVs, which can damage the EVs | (Klinov and Magonov |
| Raman spectroscopy | Detects membrane protein, functionality | Simple, inexpensive, highly efficient, and portable method | Analysis of a single vesicle is time-consuming because of the weak Raman signals that often need enhancement via the nanostructured substrates or nanoparticles for a more effective analysis | (Kwizera et al., |
| Quantum dots | Detection of disease specific exosomes | Sensitive detection of 100 exosomes per μL Facilitates better tracking of EVs and more specific targeting QDs have strong resistance to photobleaching | In the context of QD-EV conjugation chemistry, the NHS-ester used for QDs and EV modification can react with primary amines. | (Boriachek et al., (Takov et al., |
| Integrated magneto-electrochemical sensor (i-MEX) | Fast and streamlined analysis of EVs Cell-specific exosomes can be isolated High detection sensitivity through magnetic enrichment and enzymatic amplification Sensors can be miniaturized | Fast, high-throughput, and on-the-spot analysis Cell-specific exosomes can be isolated directly from complex media High detection sensitivity via magnetic enrichment and enzymatic amplification Can be miniaturized and expanded for simultaneous measurements | The iMEX system has lower sensitivity and throughput than nPLEX | (Jeong et al., |
| Aptamer based biosensor | Quantitative detection of exosomes | Requires small sample volume Application of aptamer instead of antibody, improves the stability of the system, resulting in better sensitivity Due to label-free approach, the cost is reduced. The aptasensor detected exosomes in a homogeneous system | Lack of a reliable process to obtain aptamers to be specifically used in electrochemical sensors | (Zhou et al., |
| Aptasensor | Detects exosomes by integrating single-walled carbon nanotubes | Visible and simple method Can be applied to detect other targets by changing the aptamer | Requires development of a “signal-on” strategy to replace “signal-off” strategy, susceptible to interference | (Xia et al., |