Microfluidic Technology for Clinical Applications of Exosomes
Abstract
Exosomes, a type of nanovesicle, are distinct cellular entities specifically capable of carrying various cargos between cells. It has been hypothesized that exosomes, as an enriched source of biomolecules, may serve as biomarkers for various diseases. This review introduces general aspects of exosomes, presents the challenges in exosome research, discusses the potential of exosomes as biomarkers, and describes the contribution of microfluidic technology to enable their isolation and analysis for diagnostic and disease monitoring. Additionally, clinical applications of exosomes for diagnostic purposes are also summarized.
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micromachines Review Microfluidic Technology for Clinical Applications of Exosomes Florina S. Iliescu 1, Danilo Vrtaˇcnik 2, Pavel Neuzil 3,4,5,* and Ciprian Iliescu 6,7,* 1School of Applied Science, Republic Polytechnic Singapore, Singapore 738964, Singapore; [email protected] 2Laboratory of Microsensor Structures and Electronics, Faculty of Electrical Engineering, University of Ljubljana, SI-1000 Ljubljana, Slovenia; [email protected] 3Ministry of Education Key Laboratory of Micro/Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China 4Central European Institute of Technology, Brno University of Technology, Brno 613 00, Czech Republic 5Department of Microelectronics, Faculty of Electrical Engineering, Brno University of Technology, Technická3058/10, 61600 Brno, Czech Republic 6Biomedical Institute for Global Health Research and Technology (BIGHEART), National University of Singapore, Singapore 117599, Singapore 7Academy of Romanian Scientists, Bucharest 050094, Romania *Correspondence: [email protected] or [email protected] (P.N.); [email protected] (C.I.) Received: 23 May 2019; Accepted: 7 June 2019; Published: 12 June 2019 Abstract: Exosomes, a type of nanovesicle, are distinct cellular entities specifically capable of carrying various cargos between cells. It has been hypothesized that exosomes, as an enriched source of biomolecules, may serve as biomarkers for various diseases. This review introduces general aspects of exosomes, presents the challenges in exosome research, discusses the potential of exosomes as biomarkers, and describes the contribution of microfluidic technology to enable their isolation and analysis for diagnostic and disease monitoring. Additionally, clinical applications of exosomes for diagnostic purposes are also summarized. Keywords: microfluidics; exosomes; clinical applications; extracellular vesicles; cancer; inflammation 1. Introduction The transport of biological material across membranes in the form of microparticles and well-compartmented nanovesicles is an essential mechanism, conserved throughout the evolution pathways of cellular homeostasis, physiologically allowing cells to actively or passively export microand macromolecules [ 1 ]. However, when homeostasis is disrupted, causing pathological changes, an aberrant export of either key proteins or nucleic acids occurs, leading to their aberrant expression. The increased release of nanovesicles and their accumulation appear to be important in pathological transformation processes such as cancer and inflammatory-based diseases. Exosomes belong to the category of compartmented extracellular vesicles, and are the smallest of them all, with unique biogenesis. The existence of extracellular vesicles was suggested in 1946 [ 2 ], and their isolation and specific nomenclature subsequently followed [ 3 ]. Dedicated studies have described in increasing detail these ubiquitous features of viable cells, often named membrane fragments, platelet dust, or cellular debris [ 4 ]. Currently, it is generally accepted that exosomes are small in range (from tens to hundreds of nm), and are lipid bilayer membrane nanovesicles of endocytic origin with a highly selective and variable content, secreted by nearly all cells both in vitro and in vivo and involved in intercellular communication [ 3 , 5 ]. Exosomes have a few morphological characteristics in common: size, density, shape, general lipid or protein composition, and subcellular origin [ 3 , 6 – 9 ]. However, the observation Micromachines 2019,10, 392; doi:10.3390/mi10060392 www.mdpi.com/journal/micromachines
Micromachines 2019,10, 392 2 of 29 that the exosomes’ cargo changes depending on the cell of origin and the physiological and pathological conditions [ 10 – 14 ], and that they are easily accessible in practically all human biofluids, has triggered intense research into their possible use as non-invasive biomarkers. Furthermore, the prognosis of diseases depends on an examination of the affected tissues, via a tissue or liquid biopsy, that provides complementary information to enable an accurate diagnosis and disease monitoring. Compared with a tissue biopsy, considered the gold standard in histopathology, a liquid biopsy is a non-invasive procedure that samples biofluids, provides information on various pathologies, and has the potential to provide real-time feedback on a patient’s condition from diagnosis to therapy monitoring. However, providing critical information regarding the biomarkers requires diagnostic tools with a high sensitivity and specificity. Current standard technology for isolating exosomes is differential centrifugation. Despite the high purity of the product, it is time-consuming, expensive, and inefficient [ 15 ]. Another method for the analysis of microvesicles is flow cytometry. It offers a high throughput and molecular detection ability, but its performance is limited by weak light scattering at the vesicles as their size is significantly smaller than the wavelength of utilized light [ 16 ]. Consequently, combinations of methods have been proposed to increase the accuracy of detection, isolation for further analysis, and characterization. Recently, microfluidic methods were developed in order to isolate exosomes from whole blood in a label-free and contact-free manner [17]. Here, we present recent advances of the microfluidic platforms for the detection, isolation, and characterization of exosomes. The proposed platforms offer several advantages in terms of simplicity of the protocols, smaller sample volumes, a lower concentration of exosomes for analysis, a higher throughput, and on-chip combined assays. The work also reviews the present clinical status of exosomes related to microfluidic technology It is accepted that exosomes offer significant advantages for cancer diagnostics and monitoring, in terms of their abundance, stability, and diversity, as well as their identification in large quantities in a variety of bodily fluids, including blood, ascites, and cerebrospinal fluid. However, it has been acknowledged that the translation of exosomes towards clinical application and Point-of-Care testing (POCT) poses unique sets of challenges, primarily because of the small dimension of exosomes and the incomplete understanding of their biology and subsequently because of the difficulty in their isolation and detection. Therefore, perfecting the on-chip isolation and analysis methods for integrated microfluidic platforms is crucial. 2. General Aspects of Exosomes 2.1. Genesis After Johnstone isolated and described exosomes as endosome-derived vesicles [ 3 ], other mechanisms started to be explored to further depict the processes involved in the selective degradation or diminishing of the cells’ protein “menu” of the plasma membrane [ 18 – 21 ]. In eukaryotic cells, they form intracellularly, as intraluminal vesicles of the multivesicular body (MVB) and early endosomes. The buddying consists of invagination of the limiting membrane of early endosomes and multivesicular bodies (MVBs). Subsequently, the MVBs either fuse with lysosomes or the plasma membrane. Upon fusion of the MVB with the plasma membrane, the vesicles are secreted into the extracellular milieu to become exosomes [ 22 – 24 ]. The literature highlights that the formation of intraluminal vesicles in MVBs is determined by at least four partially independent processes directed by the endosomal sorting complexes required for the transport class of proteins [ 25 ], the tetraspanin positive for the classification determinant (CD)63 marker [ 26 ], specific glycan modifications, and/or lipid-dependent mechanisms [ 27 – 29 ]. Other studies have found that proteins such as Ras-associated binding proteins (Rab)11, 27, and 35 have roles in exosome exocytosis and secretion in at least some cell types [ 30 – 32 ]. The theories on the generalized and specialized Rab-dependent intracellular trafficking mechanisms for exosomes’ secretion may explain the differences in the exosomes’ content and functions or may provide insights into the mechanisms by which exosome sub-populations are produced [ 33 – 35 ]. However, the presence of multiple mechanisms has confounded attempts to define the fundamental biology
Micromachines 2019,10, 392 3 of 29 underlying exosomes’ formation and cargo sorting into exosomes [ 36 ]. It is also recognized that exosomes are produced by most cells of the body and can be recovered from bodily fluids [ 5 ], such as the prostasomes, formed in endosomes of prostate epithelial cells and therewith secreted into semen [ 37 , 38 ]. Therefore, further research will consolidate the mechanisms still in question and should provide more evidence to explain how exosomes influence the cellular functions within physiological and pathological ranges. 2.2. Kinetics and Mechanism of Action (MOA) Since exosomes are currently regarded as distinct cellular entities, their specific roles and their ways of interacting with various cells at various locations have also been researched intensively. Their kinetics have also been scrutinized, and studies have concluded that it is more difficult to estimate the half-life of human exosomes in blood than it is to estimate exosome half-lives in lab animals. In athymic nude mice, the half-life of extracellular vesicles in vivo has been estimated at 30 min and the clearance 6 h after an intravenous injection [ 39 ], whereas, in humans, estimation has relied on complex calculations of hemodynamics and the half-life has not been directly measured. Moreover, the variety of cargo to be shared between cells (proteins, deoxyribonucleic acid (DNA), messenger ribonucleic acid (mRNA), and non-coding RNAs) [ 8 , 9 , 40 ] indicated that, from the mechanism of action (MOA) perspective, exosomes ensure intercellular communication and target various locations such as reticulocytes during their maturation [ 8 , 41 ], sperm during fertilization [ 42 , 43 ], immune cells during pregnancy [ 6 ], or the central nervous system (CNS) [ 44 ]. It was further considered that such interaction was leading to the exchange of genetic information and reprogramming of the recipient cells [ 45 ]. Apart from the targets involved in physiological processes, exosomes are essential to many lethal elements of cancer, inflammation, and other pathophysiological conditions. Studies have revealed the impact of exosomes on cancer-related processes, specifically their active interference with the tumor microenvironment [ 46 ], involving many cell types within the tumor [ 47 ]. Exosomes also accumulate at locations in target tissue where primary metastases appear first [ 46 ], and their production of extracellular adenosine triphosphate (ATP) could create a local inflammatory site where the metastasizing cell could settle down and create pre-metastatic niches [ 48 ]. The involvement of exosomes in malignant and inflammatory processes is noteworthy. Exosomes derived from gastric [ 49 ] or breast cancer [ 50 ] cells stimulate the activation of the nuclear factor kappa-light-chain-enhancer of activated B cell (NF-kB) pathways in macrophages. The consequence is an increased level of pro-inflammatory factors which, in turn, promote tumor cell proliferation and migration. The excessive number of exosomes secreted by tumors may transfer messages from tumor cells to immune cells and stromal cells [ 51 ]. It was demonstrated that tumor-derived microvesicles induce, expand, and up-regulate biological activities of human regulatory T cells (Treg) [ 52 ]. Moreover, tumor-derived exosomes (TEXs) directly downregulate signals by the T cell receptors and other functions [ 53 ]. It was ultimately established that TEXs were more potent than mesenchymal stem cell-derived exosomes to induce regulatory responses by upregulating the production of FOXP3 (a protein involved in immune system responses), interleukin (IL)-10, and Transforming Growth Factor β(TGF-β– a polypeptide that regulates multiple biological processes) [54]. Exosomes can mediate the CNS neuronal and glia communication in pathological conditions such as glioblastoma via the transported RNA and proteins that promote tumor growth [ 55 ] or via a tumor suppression signaling network directed by miR-1 [56]. The capability of exosomes to carry inflammatory mediators, either proteins or miRNA, makes exosomes key role-players in systemic and local inflammatory pathways and implicitly in the pathogenesis of high incidence diseases such as cancer, diabetes mellitus type 2, rheumatoid arthritis (RA), inflammatory bowel diseases, or degenerative diseases [ 57 ]. It has been hypothesized that the RA exosomes are related to the induction of an osteoarthritis-like phenotype in both in vitro and ex vivo models. Further evidence is provided by exosomes that originate from synovial fibroblasts, which carry a membrane-bound form of TNFα , allowing their uptake by anti-CD3-activated T cells and
Micromachines 2019,10, 392 4 of 29 protein kinase B (AKT) and the activation of NF-kB. Moreover, activated T cells become resistant to apoptosis [ 58 ]. According to a recent hypothesis, exosomes are involved in chronic inflammation which describes the obesity disorder: exosomes from adipose tissue of obese subjects contained an altered level of 55 miRNAs, which mainly regulate TGFβ and Wnt/ β -catenin signaling key cellular functions, including anticancer modulation [ 59 , 60 ]. Zhao et al. suggested that cross-talk between exosomes from Adipose-Derived Stem Cells (ADSC) and macrophages facilitated insulin sensitivity based on immune and metabolic homeostasis in white adipose tissue via anti-inflammatory M2 phenotype (alternatively activated macrophages) pathways [ 61 ]. Furthermore, exosome-secreted proteins interfere with effective cancer drug delivery due to stimulated fibroblast growth resulting in a desmoplastic reaction [51], or when they transfer chemo-resistance properties to nearby cells [62]. Since exosomal components are cell type-specific, stable, and accessible from body fluids, and they change according to the physio-pathological state of the cells of origin, they represent new research and clinical targets for diagnosis and therapy. However, fast, high-throughput, and reproducible methods for exosome isolation and molecular analysis are necessary for clinical implementation as a biomarker for liquid biopsy [36]. 3. Challenges in Exosome-Based Research 3.1. Heterogeneous Morphology of Exosomes It has been recorded that exosomes are vesicles with various densities ranging from 1.13 g · cm −3 to 1.19 g · cm −3 [ 6 , 63 ] and sizes from 30 nm to 200 nm [ 64 , 65 ]. The measurement techniques used include transmission electron microscopy (TEM), cryo-electron microscopy (cryo-EM), atomic force microscopy (AFM), dynamic light scattering (DLS) analysis, and flow cytometry (FC). Besides the size of the nanovesicles, other morphological details have significantly contributed to a better understanding of exosomes as complex entities [ 63 , 66 ]. A lipid bilayer membrane protects, and other homeostatic mechanisms help avoid, the aggregation of packed material (proteins, RNA, DNA) [ 65 , 67 ]. This lipid bilayer membrane expresses the same orientation of the parental cell plasma membrane and reflects the composition of the multi-vesicle endosomes (MVE) [ 11 ]. The exosomal membrane is enriched and substances such as flotillin, annexins, GTPases (guanosine triphosphate hydrolase enzymes), ceramides, cholesterol, sphingomyelin, endosome-specific tetraspanins (positive for the markers CD9, CD63, CD81, CD82), MVE biogenesis-related proteins (Alix, TSG101), or major histocompatibility complex of class (MHC)-II were identified [ 7 ]. These membrane markers are considered to be characteristic of the cell of origin, even though the content of the exosomes mimics, to some extent, the cell of origin [ 6 ]. For instance, studies reflected that antigens expressed on exosomes’ surface can be used for their selective isolation, like in the case of CD105 for endothelial cell exosomes (EC-EXs) and CD34 for endothelial progenitor cell exosomes (EPC-EXs) [ 68 ]. Moreover, in order for exosomes to fulfill their tasks and adapt to shifting conditions, they most likely bring a tool kit of essential and fluid-specific active surface enzymes [69]. The exosomal cytosol comprises a significant number of diverse biomolecules: lipids, specific proteins, and nucleic acids [ 70 ]. Vesicleopedia and ExoCarta included more than 14,000 biomolecules reported over time and mentioned an impressive number of proteins, mRNAs, and micro-RNA (miRNA or miR) in the exosomes from different species and tissues [ 71 ]. The cargo content can change according to each cell type, even though it has some proteins (transmembrane and cytosol proteins) in common in exosomes from a variety of sources [ 10 ] or it excludes many of the most abundant cellular proteins [ 72 ]. For example, the chaperone, HSP 70 (70kD heat shock protein), and tetraspan proteins are common to various exosomes, and it has been stipulated that only proteins that are not attached to the cytoskeleton are targeted for externalization [ 73 ]. Furthermore, glycophosphatidylinositol (GPI)-anchored proteins like GPI-anchored acetylcholine esterase and GPI-anchored prions are eliminated via exosomes and infectious PrPsc (a misfolded form of the cellular prion protein) and the native prion protein (PrP) are secreted via exosomes [74].
Micromachines 2019,10, 392 5 of 29 The transferrin receptor is a specific protein of the newly released circulating reticulocyte and the major protein in the exosomes derived from red blood cells (RBC). However, little or no transferrin receptors were found in exosomes derived from lymphocytes and dendritic cells, which instead showed the major histocompatibility complex of class (MHC) I and II molecules as a major fraction of their protein cargo. The exosomes released by the enterocytes are another example. The cytosol of these exosomes varies in cargo according to the location of the MVBs prior to their fusion with the plasma membrane of the enterocytes. The exosomes released from the MVBs at the basolateral surface of the enterocytes contained peptides, including the MHC I and II peptide complex, while the MVBs reported only in the apical compartments of the intestinal cells and rich in human leukocytes antigen DM (HLA-DM) were associated with no exosome release [75]. One more example of specific cargo is one of the cells in the renal tubules. The exosomes containing aquaporin and released into urine were considered the first ones excreted from the body with a recognizable and characteristic protein [ 69 ]. Furthermore, epididysomes were identified as exosome-like vesicles rich in sphingomyelin released by epididymis. Their essential role was associated with the transport of protein content towards the maturating spermatozoa via the long passage through the epididymis. Another example of an exosomal protein, despite being inconclusive, is lactadherin, one prominent peptide of dendritic cells [ 76 ]. However, there are currently no known exclusive protein markers for exosomes and the controlling mechanisms of the sorting of these different molecules into exosomes [77,78]. Concomitantly, studies have evidenced a wide range of small exosomal non-coding, regulatory micro RNA (miRNA) molecules, functional messenger RNAs (mRNA), exosomal shuttle RNA (esDNA), genomic DNA, and single-stranded DNA (ssDNA) [ 40 ]. Similar to the protein content, the miRNA and mRNA content of exosomes was noted to be a partial reflection of the cells of origin [40,79]. Furthermore, the lipidomic profile of exosomes indicated that their lipid cargo is closer to one of the MVBs rather than corresponding to the originating cells [80]. Besides the cell type-based variability of the molecular content of exosomes, there is one factor which significantly relates the cytosol changes to the physiological or pathological conditions of the cells. Importantly, such changes can be substantially different from the cell of origin, indicating a highly controlled sorting process [81]. Double-stranded DNA present in exosomes from cancer cells expressed the specific mutational status of the originated cells [ 82 ], and the protein composition of the tumor cell-derived exosomes can indicate the cell of origin after their characterization. The essential hypothesis is that, morphologically, exosomes originating from cancer cells are considered to be reservoirs of cancer biomarkers [ 62 ], while exosomes containing the prion protein, β -amyloid (A β ), and α -synuclein, as neurodegenerative disease-associated proteins, are considered markers for those medical conditions [ 83 ]. Palmitoylated and tetraspanin proteins present on the surface of exosomes secreted by breast cancer cells, as well as miRNAs (miR-195, miR-21, miR-484/191) and some proteins (CD9, CD63, CD81, CD24, p-selectin, survivin and its splice variants,) are differentially expressed in certain stages and types of breast cancer (BC) in the extracted exosomes. It is also interesting that studies on mice showed a correlation between exosomes, obesity, and insulin resistance: the miRNAs isolated from the obese mice fat tissue macrophages triggered glucose intolerance and insulin resistance in non-obese mice [ 84 ]. Moreover, the exosomes isolated from synovial fluid with the presence of citrullinated proteins [ 85 ] are further involved in RA etiology. Also noteworthy is the frequent appearance of glycolytic enzymes in proteomics on exosomes and prostasomes and their possible relationship with lipid rafts-enzymes in the glycolytic pathway [ 71 , 86 ]. It was also hypothesized that the exosomes derived from normal cells may express the cells’ therapeutic potential, while the exosomes from diseased tissues may be important for the maintenance and spread of pathological processes. Therefore, the potential of a defined morphological profile will highlight the progress of the studied diseases and a clear morphological map is of great importance in identifying and isolating the exosomes for either diagnosis or monitoring of disease progress and therapy.
Micromachines 2019,10, 392 6 of 29 3.2. Liquid Biopsy A liquid biopsy is a medical tool that can be used for various diagnostic applications to accompany diagnostic protocols, molecular monitoring, or staging of diseases, especially cancer. The peripheral blood is the most common biofluid containing cells and/or fragments of pathologically modified cells and allows liquid biopsy diagnosis and monitoring upon analyzing the biologic materials. This type of analysis is considered a potent instrument despite the arguments regarding the extent of its accuracy due to a lack of high sensibility and specificity. For instance, a liquid biopsy may provide a focused screening among individuals at risk of various diseases, ranging from cancer to inflammatory and degenerative ones, and consecutively reduce the medical costs. To date, however, the only approved indication for the use of a liquid biopsy in cancer diagnosis is the use of blood for the detection of required activating mutations (geftinib) or the inhibiting T790M mutation in the epidermal growth factor receptor (EGFR) gene (osimertinib), if no adequate quantities of tumor tissue are available. Furthermore, the use of an exosomes-based liquid biopsy as dynamic monitoring is also one approach in cancer therapy. However, there are considerations triggered by extensive research on the biology of circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and exosomes regarding their clinical applications. If the challenge in CTCs and ctDNA is related to the capability of detecting single mutations applied to early detection and residual disease, in the case of exosomes, the challenge resides in the overlap of surface protein markers and associated heterogeneity among exosomes derived from multiple cell types in physiological or pathological states. Therefore, there is a stringent requirement for better exosomal markers for their high-purity isolation [87,88]. 3.3. Technology for Isolation and Enrichment Numerous studies have explored the diagnostic and therapeutic potential of exosomes and evidenced many conventional methods that involve a direct analysis of cellular materials from biopsy samples. In the case of a fluid biopsy for personalized medicine, a key challenge is the lack of efficient and standard techniques for isolation and downstream analysis. Current conventional isolation methods, such as ultracentrifugation, precipitation, filtration, chromatography, and immune-affinity-based approaches, rely on size differences or on specific surface biomarkers. Moreover, the development of microfluidics is particularly significant as liquid biopsy platforms employ a range of isolation approaches, such as immunoaffinity, membrane-based filtration, nanowire trapping, acoustic nanofiltration, deterministic lateral displacement, and viscoelastic flow sorting. However, all the previous works stressed the need for established adequate scalability, standardization, and validation of the isolation and downstream proteomic and sequencing analysis approaches [ 89 ]. These aspects will be further addressed in Section 4. 4. Microfluidic-Based Approaches for Exosome Investigation in the Laboratory 4.1. Exosome Isolation The essential advantage of exosome analysis over blood-based markers such as CTCs is the access to a larger population of biomarkers [ 90 ]. As exosomes represent an enriched source of biomolecules, including proteins and nucleic acids, they are hypothetically more reliable peripheral biomarkers for malignancies and neurodegenerative, cardiovascular, or other diseases than neat cerebrospinal fluid (CSF), blood, or urine sample analysis [ 91 ]. It is generally accepted that the protocols for the isolation and analysis of microvesicles from blood are laborious [ 92 , 93 ]. The conventional assays are time-consuming, and they exhibit a low recovery factor. They also require ultracentrifugation to concentrate large volumes of samples with extensive processing for subsequent detection, such as Western blot (WB) and enzyme-linked immunosorbent assays (ELISA) [ 94 ]. Since the current methods are difficult to implement in clinical settings, especially in studies that involve a large throughput or rare molecular targets, new technologies have emerged as a series of miniaturized systems. Microfluidic technology has been adapted to address both isolation and analysis. The currently used microfluidics-based exosome
Micromachines 2019,10, 392 7 of 29 separation methods are classified into three categories: size-based, immune-affinity-based, and dynamic categories. Size-based exosome separation devices include nanofilters, nanoporous membranes, or nanoarrays to trap the vesicles when fluids flow through the channel. For instance, one sandwich-like device comprised one detachable membrane filter (with 0.1 µ m pores), two permanent ring magnets to size-selectively enrich exosomes from large sample volumes [ 95 ], and one microfluidic circuit inserted beneath the membrane to guide the filtered exosomes to the collection channel (a schematic drawing is illustrated in Figure 1a). The design enabled the easy replacement of filter units when processing large sample volumes. The microfluidic setup was fabricated using soft lithography and consisted of three polydimethylsiloxane (PDMS) layers bonded on a glass slide. The driving of the plasma inside the microfluidic channels was performed through negative pressure using mechanically actuated valves (fabricated in the PDMS structure). The PDMS layers were assembled via adhesive bonding using uncured PDMS, while the PDMS structure was irreversibly bonded to glass using classical O 2 plasma activation. The microfluidic system directly isolated microvesicles (MVs) from the blood before labeling them with magnetic nanoparticles analyzed by a miniaturized micro-nuclear magnetic resonance system ( µ NMR). The high-sensitivity on-chip analysis of small volumes of blood (<200 µ L) measured the concentration of targeted red blood cells (RBC)-derived MVs positive for CD235, CD44, CD47, and CD55 markers. Despite the low specificity, the platform enabled the efficient isolation of nanoscale MVs directly from stored blood units and for point-of-care testing (POCT) of blood products. An acoustic nanofilter system was demonstrated to separate exosomes in a contact-free continuous flow manner from small samples. A schematic drawing of the microfluidic chip is presented in Figure 1b. It used surface acoustic waves (SAW) in order to separate the extracellular vesicles according to their size and density. The important aspect of the device is that the separation occurs under continuous flow (having a reduced risk of clogging). The SAW generates a drag force dependent on the volume of the particle. Other parameters that can be operated in order to control the particle movement are the acoustic power and the velocity of the fluid. The device presents two inlets: one for the sample and one for a buffer. The sample is focused in the middle of the channel, while a pair of interdigitated electrodes (IDE) generate the acoustic waves perpendicular to the microfluidic channel. The small nanovesicles are focused in the middle of the channel and collected on a central outlet, while the large size particles are deflected to the side outlets. The IDE are patterned on a piezoelectric substrate (LiNbO 3 ), while the microfluidic structure is fabricated using classical soft-lithography. It produces a high separation resolution and yield. The results also evidenced its potential as a fast and effective exosome isolation method [96]. Later on, the method employing the nano-deterministic lateral displacement (DLD) arrays built within a microchannel demonstrated the high-resolution separation of nanoparticles of diameters from 20 nm to 110 nm, inclusive of exosomes. [ 97 ]. The nano-DLD method (coined by Huang et al. [ 98 ]) consists of flowing the sample through a nanopillar array (Figure 1c). The pillars are in rows with an established pitch, gap, and diameter. The critical aspect of the design is the row-to-row shift responsible for the nanofiltration process. If the diameter of the particle is larger than the critical diameter, the nanosized particle will migrate laterally with an angle defined by the geometry of the nanopattern (pillar pitch and row-to-row shift). If the diameter of the particle is smaller than the critical diameter, there will be no lateral migration of the particles. The method showed potential for on-chip sorting and quantification of the exosomes and other extracellular vehicles (EVs). The work also proved the possible fabrication of a nano-pillars array with a 25 nm gap. The nano-pillars were patterned in silicon by an optimized deep RIE process through an SiO 2 mask. The aspect ratio (depth/gap) was 10:1. The microfluidic structure was closed by a glass wafer. Special attention was given to the surface modification of the microfluidic channel in order to avoid trapping (clogging) of the exosomes. The experimental results proved that the displacement of 20 nm nanoparticles can be achieved with a gap of 42 nm. The tested device showed that a polydispersed population of exosomes can be grouped in terms of the size range. The measurement of the uniformity and size was performed using scanning electron microscopy (SEM).
Micromachines 2019,10, 392 8 of 29 Micromachines 2019, 10, x FOR PEER REVIEW 8 of 29 Figure 1. Size-based exosome separation techniques. (a) The nano-porous physical filtering technique. The microvesicles (MVs) are separated from blood and captured by antibodycoated microbeads with a mean diameter of 1 μm. Immunomagnetic labeling subsequently renders the beads superparamagnetic [95] [reproduced with permission from [95], © 2013 American Chemical Society (ACS)]. (b) The non-contact acoustic nanofiltering technique where the MVs are moved in different locations of the microfluidic channels according to their acoustic response. Interdigitated transducer (IDT) electrodes shown in the schematic are used to generate surface acoustic waves across the flow direction [96] (reproduced with permission from [96], © 2015 ACS). (c) The nano-deterministic lateral displacement (nanoDLD) non-contact technique. Nanoparticle sorting accomplished using pillar array chips and the separation of polystyrene beads using a hydrodynamically focused jet in the nanoDLD array [97] (reproduced with permission from [97], © 2016 Nature publishing group). Furthermore, an immunoaffinity-based microfluidic device achieved specific separation since it relied on specific biomarkers on the exosomes’ membranes. These devices comprised modified microchannels with antibodies or magnetic beads with adapted affinity. One example shown in Figure 2a is the ExoChip [99]. The microfluidic system consists of one or multiple channels, where each channel presents multiple wells that are connected through a narrow channel. In the wells, the velocity of the fluid is reduced (due to the dimension of the chamber) to allow the interaction between exosomes and the surface of the microfluidic structure (functionalized with antibodies against CD63 – an antigen overexpressed in exosomes). The connecting channel between wells allows mixing of the sample due to the gradient of the velocity. The microfluidic device was built using soft lithography (fabricated in polydimethylsiloxane-PDMS and bonded on glass using plasma treatment). This device enabled the profiling and quantifying of exosomes when subsequent specific staining with a fluorescent carbocyanine dye (DiO), immuno-electron-microscopy, and WB of the Figure 1. Size-based exosome separation techniques. ( a ) The nano-porous physical filtering technique. The microvesicles (MVs) are separated from blood and captured by antibody-coated microbeads with a mean diameter of 1 µ m. Immunomagnetic labeling subsequently renders the beads superparamagnetic [ 95 ] [reproduced with permission from [ 95 ], © 2013 American Chemical Society (ACS)]. ( b ) The non-contact acoustic nanofiltering technique where the MVs are moved in different locations of the microfluidic channels according to their acoustic response. Interdigitated transducer (IDT) electrodes shown in the schematic are used to generate surface acoustic waves across the flow direction [ 96 ] (reproduced with permission from [ 96 ], © 2015 ACS). ( c ) The nano-deterministic lateral displacement (nano-DLD) non-contact technique. Nanoparticle sorting accomplished using pillar array chips and the separation of polystyrene beads using a hydrodynamically focused jet in the nano-DLD array [97] (reproduced with permission from [97], ©2016 Nature publishing group). Furthermore, an immunoaffinity-based microfluidic device achieved specific separation since it relied on specific biomarkers on the exosomes’ membranes. These devices comprised modified microchannels with antibodies or magnetic beads with adapted affinity. One example shown in Figure 2a is the ExoChip [ 99 ]. The microfluidic system consists of one or multiple channels, where each channel presents multiple wells that are connected through a narrow channel. In the wells, the velocity of the fluid is reduced (due to the dimension of the chamber) to allow the interaction between exosomes and the surface of the microfluidic structure (functionalized with antibodies against CD63 – an antigen overexpressed in exosomes). The connecting channel between wells allows mixing of the sample due to the gradient of the velocity. The microfluidic device was built using soft lithography (fabricated in polydimethylsiloxane-PDMS and bonded on glass using plasma treatment). This device enabled the profiling and quantifying of exosomes when subsequent specific staining with a fluorescent carbocyanine dye (DiO), immuno-electron-microscopy, and WB of the recovered exosomes with intact
Micromachines 2019,10, 392 9 of 29 RNA were applied. Similar solutions have been developed to facilitate rapid, accurate, highly sensitive screening and high specificity diagnostic tests. An example depicted in Figure 2b is the nano-interfaced microfluidic exosome platform (Nano-IMEX) presented in [ 100 ]. The device consists of a microfluidic channel processed in PDMS using soft lithography and bonded in a glass slide. The mixing process is assured by PDMS pillars. The surface modification was performed on a chip with graphene oxide and polydopamine (a biocompatible material), while controlling the flowrate and the temperature of the substrate. The device was tested on 2 µ L clinical plasma samples from patients with ovarian cancer and healthy patients. Micromachines 2019, 10, x FOR PEER REVIEW 9 of 29 recovered exosomes with intact RNA were applied. Similar solutions have been developed to facilitate rapid, accurate, highly sensitive screening and high specificity diagnostic tests. An example depicted in Figure 2b is the nano-interfaced microfluidic exosome platform (Nano-IMEX) presented in [100]. The device consists of a microfluidic channel processed in PDMS using soft lithography and bonded in a glass slide. The mixing process is assured by PDMS pillars. The surface modification was performed on a chip with graphene oxide and polydopamine (a biocompatible material), while controlling the flowrate and the temperature of the substrate. The device was tested on 2 μL clinical plasma samples from patients with ovarian cancer and healthy patients. Figure 2. Immuno-affinity-based exosome separation. (a) The ExoChip and its operation procedure used for exosomes’ isolation and analysis, consisting of eight equally spaced circular chambers connected through a wide channel, allowing its use for analyzing multiple samples simultaneously. The polydimethylsiloxane (PDMS)-based working prototype ExoChip (with three channels) depicts the flow of serum for exosomes’ capture in a typical experimental setup [99], [reproduced with permission from [99], © 2014 Royal Society of Chemistry (RSC)]. (b) The nano-interfaced microfluidic exosome platform (NanoIMEX). Schematic of a single-channel PDMS/glass device, with the exploded-view highlighting the coated PDMS chip containing an array of Y-shaped micro-posts. The surface of the channel and micro-posts are coated with graphene oxide and polydopamine as a nanostructured interface for the sandwich enzyme-linked immunosorbent assays (ELISA) of exosomes with enzymatic fluorescence signal amplification [100] (reproduced with permission from [100], © 2016 RSC). (c) The ExoSearch platform. A robust, continuousflow platform providing the enriched preparation of blood plasma exosomes for in situ, multiplexed detection using immunomagnetic beads for the quantitative isolation and release of exosomes [101] (reproduced with permission from [101], © 2016 RSC). Figure 2. Immuno-affinity-based exosome separation. ( a ) The ExoChip and its operation procedure used for exosomes’ isolation and analysis, consisting of eight equally spaced circular chambers connected through a wide channel, allowing its use for analyzing multiple samples simultaneously. The polydimethylsiloxane (PDMS)-based working prototype ExoChip (with three channels) depicts the flow of serum for exosomes’ capture in a typical experimental setup [ 99 ], [reproduced with permission from [ 99 ], © 2014 Royal Society of Chemistry (RSC)]. ( b ) The nano-interfaced microfluidic exosome platform (Nano-IMEX). Schematic of a single-channel PDMS/glass device, with the exploded-view highlighting the coated PDMS chip containing an array of Y-shaped micro-posts. The surface of the channel and micro-posts are coated with graphene oxide and polydopamine as a nanostructured interface for the sandwich enzyme-linked immunosorbent assays (ELISA) of exosomes with enzymatic fluorescence signal amplification [ 100 ] (reproduced with permission from [ 100 ], © 2016 RSC). ( c ) The ExoSearch platform. A robust, continuous-flow platform providing the enriched preparation of blood plasma exosomes for in situ, multiplexed detection using immunomagnetic beads for the quantitative isolation and release of exosomes [101] (reproduced with permission from [101], ©2016 RSC).
Micromachines 2019,10, 392 16 of 29 can be achieved if the developing instruments consider readily available biofluids uniquely handled as small samples. Moreover, the microfluidic platforms will support a combination of steps and methods from detection and isolation/enrichment to augmentation and final analysis of the exosomes. In the meantime, research needs to focus on the proposed platforms to offer several advantages in terms of simplicity of the protocols, smaller sample volumes, a lower concentration of exosomes required for analysis, higher throughput, and on-chip combined assays. Therefore, perfecting the isolation and analysis methods integrated by microfluidic platforms is crucial when considering the phenotyping or genotyping of exosomes from cell cultures or biological samples. The developed devices will complete the technical panel of the diagnostic laboratory for a qualitative and quantitative evaluation of exosomes. The ultimate goal of the microfluidic-based exosomal isolation and analysis is a successful clinical implementation and POCT applicable to a wide range of diseases, either benign or malignant. Significant progress is still required to further address the perfect match between the type of biofluid collected and the desired lab application. For instance, exosomes could be beneficial for drug resistance monitoring. Future development of all the reviewed instruments and methods essentially targets their ability to isolate biomarkers from very small samples of biofluids, from samples which comprise very small amounts of biomarker(s), or from samples collected from cancer patients who express rare mutations. Moreover, assembling them into a commercial kit is another option for the rapid and simple isolation of exosomes from small volumes of different samples, which makes these devices ideal for research and clinical settings. One more aspect that plays an essential role in the reliability of diagnostic techniques is quality assurance and quality control. The next steps need to ensure that the process of exosome isolation in the clinical setting is repetitive, rapid, easy to handle, and cost-effective, with a low error rate, high recovery yield, and consistently high sensitivity and specificity. Some companies have recommended a pre-clinical exosome isolation kit (like SBI’s Exoquick-CG ® ) that requires validation through clinical trials and compatibility recognition with pathology reports. However, there is not a gold standard for exosomes’ detection and analysis. To date, no approved exosome isolation procedure has been introduced for the clinical setting. The future “golden standard” to reach these milestones in microfluidics supported exosome-based disease diagnostic and monitoring will most probably combine two or more separation methods. 7. Conclusions Microfluidic devices were introduced to improve the methods for exosomes’ detection and isolation by facilitating their immunological separation, sieving, and trapping. This makes them highly attractive targets for the detection and analysis of diseases. As a number of studies have demonstrated, the specific proteins and nucleic acids, as the exosomes’ “cargo”, could be an important source of biomarkers extracted from biofluids [ 93 , 96 , 99 , 101 , 116 , 175 ]. The RNA analysis of the exosomes from liquid biopsy samples could complement the information coming from classical DNA analysis and clarify specific processes, and eventually lead to personalized medicine. Taking into account such aspects, a liquid biopsy using microfluidic systems may also turn out to be a key strategy for developing personalized targeted therapy and disease monitoring. The main scope of the research for microfluidic devices will be the clinical translation and how to overcome the challenges faced on the way towards the clinical application of exosomes as biomarker sources. The various microfluidic LOC platforms that have emerged try to increase the sensitivity of the isolation process and to further facilitate the in situ analysis. This is in line with the current trend and demand for realizing ‘smart’ systems with increased functionality and ease of use at the POCT, even by non-specialists. Furthermore, the realization and standardized adoption and usage of such advanced equipment could be the first step towards personalized healthcare. It may also bring closer the more distant goal of realizing a machine for the holistic separation and analysis of all liquid biopsy components in order to ultimately provide highly efficient predictive medicine for actual personalized diagnosis and treatment. The intricacy and difficulty of clinical trials and validation will also need to be overcome in order to pave the way to the
Micromachines 2019,10, 392 17 of 29 wide acceptance of such equipment by medical practitioners worldwide. Furthermore, the ultimate clinical challenge is to perfect the technology, increase the dynamic range of the platforms, and produce cost-effective specific and sensitive devices for personalized medicine. Author Contributions: Writing—original draft preparation, F.S.I., D.V., P.N. and C.I.; writing—review and editing. F.S.I. & C.I. Funding: This work was supported by the “Foreign Experts Program” of P.R. China (W099109), the CEITEC Nano Research Infrastructure (ID LM2015041, MEYS CR, 2016–2019), the CEITEC Brno University of Technology, and the Grant Agency of the Czech Republic (contract GA16-11140S). Acknowledgments: The authors want to thank Hossein Heidari (UCB) for the valuable contribution to the discussions. Conflicts of Interest: The authors declare no conflict of interest.
Micromachines 2019,10, 392 18 of 29 Appendix A Table A1. The most common microfluidic approaches for exosomes’ isolation. Principle for Isolation Technology Sample Used (Most of the Platforms Can Process Cell Culture Derived Exosomes) Performance Drawbacks Application for Detection and Analysis Clinical Potential Source Immunoaffinity (targeted marker) ExoChip: functionalized CD63 multi-chamber/channel platform serum–human origin isolated size ~30–300 nm; Isolation throughput 4µL·min−1; isolation capacity 400 µL no multiplexing detection via fluorescent staining and conventional plate reader; LOD 0.5 pM fluorescence sensitivity CD63(+) pancreatic cancer-derived exosomes; extract total RNA [99] Immunoaffinity (targeted marker) iMEX and Nano-iMEX: Y-shaped microposts with (CD81) nanostructured coating; nanoshearing chip, electrohydrodynamic flow-assisted immunocapture plasma (10× dilution)–human origin Isolated size <150 nm; isolation throughput 0.05 µL·min−1; isolation capacity 20 µL; high sensitivity - improved capture and inline detection efficiency ~50 exosomes/ µ L; on-chip isolation-cum-detection via singleplex ELISA-based fluorescence imaging overall levels of CD9 (+), CD81 (+), EpCAM (+), and CD63(+) ovarian cancer-derived exosomes; other markers: CD24, CA125, HER2, MUC18, and EGFR [100] [176] Immunoaffinity (targeted marker) nPLEX (nano-plasmonic exosome-sensor): functionalized (CD24, CD63, EpCAM) gold surface with nanohole arrays. ascites fluid (0.2 µm filter)–human origin isolated size ~20–260 nm; isolation throughput 8.3 µL·min−1; isolation capacity 150 µL; high sensitivity recovery - portable simultaneous isolation and surface plasmon resonance (SPR)-based multiplexed detection; LOD: 1000 - 3000 exosomes and subpopulation ovarian cancer without sample pretreatment (EpCAM, CD24, CD63); parallel detection of 12 potential exosomal markers: EpCAM, CD24, CA125, CA19-9, HER2, MUC18, EGFR, CLDN3, CD45, CD41, D2-40 [110] [177] Immunoaffinity RInSE: rapid inertial solution exchange; for continuous isolation of affinity-capture (EpCAM) microbeads and flow cytometry detection blood (RBC lysis, centrifugation, incubation with capture beads and label)–human origin isolated size 30–120 nm; isolation throughput 70 µL·min−1; isolation capacity–continuous flow -detection flow cytometry; LOD not available; breast cancer-derived CD81 in EpCAM (+) exosomes [154] Immunomagnetic Immuno-magnetic exosome RNA (iMER) immuno-magnetic chip: isolation using immunomagnetic (EGFR) microbeads serum (0.8 µm filter)–human origin isolation sensitivity >93%; isolated size ~100 nm; isolation throughput 4 µL·min−1; isolation capacity 100 µL; on-chip capturing for RNA analysis enrichment is dependent on surface marker high efficiency and integrated exosomal RNA analysis: exosomes’ lysis and RNA capture; analysis of intra-vesicular protein and mRNA via on-chip RT-qPCR glioblastoma treatment monitoring via exosomal mRNA [EPHA2, EGFR, PDPN, MGTM, APNG in EGFR (+) and EGFRvIII (+)]; [111]
Micromachines 2019,10, 392 19 of 29 Table A1. Cont. Principle for Isolation Technology Sample Used (Most of the Platforms Can Process Cell Culture Derived Exosomes) Performance Drawbacks Application for Detection and Analysis Clinical Potential Source Immunoaffinity ExoSearch: continuous capture on immunomagnetic (CD9) microbeads plasma–human origin isolation sensitivity 72%; isolated size 50–250 nm; isolation throughput 0.8 µL·min−1; isolation capacity 20 µL detection via fluorescently-labelled CA-125-, EpCAM-, and CD24-antibodies for on-chip fluorescence imaging; LOD: 750 exosomes/µL ovarian cancer CA-125, EpCAM, and CD24 in CD9(+)-derived exosomes; [101] Immunoaffinity - microbead-based immunocapture mobile exosome detector ( µMED ) with microbeads of different sizes mouse serum isolation sensitivity: 1×107; isolated size ≈117 nm; isolation throughput .10/3µL·min−1; isolation capacity ~100 µL; successfully reflected the different status of neurons; simple operation limited sensitivity and accuracy; exosomes’ enrichment ELISA-based optofluidic detection via smartphone; LOD: 10,000 exosomes/µL·mL−1 ELISA-based optofluidic detection of GluR2 in CD81(+) exosomes to detect the level of cortical neurons with and without injuries; other markers detected: EGFR, PDGFR-alpha, PDPN, ElphaA2, EGFRcIII6, IDHIRI32H, HSP90, CD41, and MHCII [113] Immunoaffinity capture on functionalized (CD9, HER2) gold electrodes enhanced by nanoshearing serum–human origin nanoshearing enhanced capture; isolated size ~30–350 nm; isolation throughput 4.2 µL·min−1; isolation capacity 500 µL data on isolation sensitivity not available nanoshearing enhanced detection and ELISA-based colorimetric sensing; LOD: 2760 exosomes/µL HER2(+) and CD9(+) breast cancer-derived exosomes; [153] Immunoaffinity functionalized CD9 and CD63 gold surface serum–human origin isolated size ~30–300 nm; isolation throughput 5µL·min−1; isolation capacity 250 µL isolation sensitivity: NA SPR-based specific detection; detection limit ~2070 exosomes/µL HER2(+) and CD9(+) or CD63(+) breast cancer-derived exosomes [178] Immunomagnetic on chip capture on immunomagnetic beads plasma pre-mixed with capture beads–human origin isolation sensitivity: low; isolated size ~40–150 nm; isolation throughput 2µL·min−1; isolation capacity ~30 µL concertation on-chip exosomes 100 times lower than the recovery from centrifugation on-chip cell lysis and protein capture, ELISA-based intravesicular protein chemifluorescent analysis; detection limit: 0.281 pg·mL (IGF-1R); 0.383 pg·mL (p-IGF-1R); phenotyping of common exosomal and tumor-specific markers; type 1 insulin growth factor receptor (IGF-1R and p-IGF-1R) in EpCAM(+) non-small-cell-lung cancer-derived exosomes [109]
Micromachines 2019,10, 392 20 of 29 Table A1. Cont. Principle for Isolation Technology Sample Used (Most of the Platforms Can Process Cell Culture Derived Exosomes) Performance Drawbacks Application for Detection and Analysis Clinical Potential Source Membrane-based filtration Exodisc: double filtration and centrifugation urine–human origin isolation sensitivity: 95%; isolated size ~20–600 nm; isolation throughput 36 µL·min−1; isolation capacity 1000 µL; high purity and dual-membrane filtration might be prone to clogging; uniform membrane pore fabrication might be difficult; co-isolation with larger vesicles ELISA-based colorimetric detection overall levels of CD9 and CD81 urinary bladder cancer-derived exosomes [179] Membrane-based filtration ExoTIC: Exosome total isolation chip biofluids: plasma, urine, lavages high purity and low-cost assembly; ~4–1000 fold higher yield than ultracentrifugation fabrication of uniform multiple nano-sized pores may be challenging EVs size-based detection and miRNA extraction for analysis genomic, transcriptomic, and proteomic signatures for cancer [180] Viscoelastic flow continuous viscoelasticity-based and field-free microfluidic sorting chip fetal bovine serum; cell culture separation efficiency- ~80%; label-free continuous separation; isolated size <200 nm; isolation throughput 10/3µL·min−1; isolation capacity 100 µL the poly(oxyethylene) (PEO) polymer used in the process residue might be present in retrieved EV samples: the compatibility of PEO with the sample and the effect on the downstream analysis is unknown future validation with clinical samples required proteomics, gene analysis [181] Membrane-based filtration double filtration chip cell culture medium and urine (centrifugation, 0.22 µm filter)–human origin separation efficiency—~74–81%; isolated size ~155 nm; isolation throughput 33 µL·min−1; isolation capacity 8000 µL; high purity clogging especially when pore sizes are small-fabrication of 30 nm pore ELISA-based colorimetric detection on chip overall levels of CD63(+) urinary bladder cancer-derived exosomes [160]
Micromachines 2019,10, 392 21 of 29 References 1. Azmi, A.S.; Bao, B.; Sarkar, F.H. Exosomes in cancer development, metastasis, and drug resistance: A comprehensive review. Cancer Metastasis Rev. 2013,32, 623–642. [CrossRef] [PubMed] 2. Chargaff, E.; West, R. The biological significance of the thromboplastic protein of blood. J. Biol. Chem. 1946 , 166, 189–197. [PubMed] 3. Johnstone, R.M.; Adam, M.; Hammond, J.R.; Orr, L.; Turbide, C. Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes). J. Biol. Chem. 1987,262, 9412–9420. 4. Wolf, P. The nature and significance of platelet products in human plasma. Br. J. Haematol. 1967 ,13, 269–288. [CrossRef] [PubMed] 5. Raposo, G.; Stoorvogel, W. Extracellular vesicles: Exosomes, microvesicles, and friends. J. Cell Biol. 2013 ,200, 373–383. [CrossRef] [PubMed] 6. Van der Pol, E.; Böing, A.N.; Harrison, P.; Sturk, A.; Nieuwland, R. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol. Rev. 2012,64, 676–705. [CrossRef] [PubMed] 7. Trams, E.G.; Lauter, C.J.; Salem, N., Jr.; Heine, U. Exfoliation of membrane ecto-enzymes in the form of micro-vesicles. BBA Biomembranes 1981,645, 63–70. [CrossRef] 8. Pan, B.T.; Johnstone, R.M. Fate of the transferrin receptor during maturation of sheep reticulocytes in vitro : Selective externalization of the receptor. Cell 1983,33, 967–978. [CrossRef] 9. Johnstone, R.M.; Mathew, A.; Mason, A.B.; Teng, K. Exosome formation during maturation of mammalian and avian reticulocytes: Evidence that exosome release is a major route for externalization of obsolete membrane proteins. J. Cell. Physiol. 1991,147, 27–36. [CrossRef] 10. Kucharzewska, P.; Christianson, H.C.; Welch, J.E.; Svensson, K.J.; Fredlund, E.; Ringn é r, M.; Mörgelin, M.; Bourseau-Guilmain, E.; Bengzon, J.; Belting, M. Exosomes reflect the hypoxic status of glioma cells and mediate hypoxia-dependent activation of vascular cells during tumor development. Proc. Natl. Acad. Sci. USA 2013,110, 7312–7317. [CrossRef] 11. Th é ry, C.; Zitvogel, L.; Amigorena, S. Exosomes: Composition, biogenesis and function. Nat. Rev. Immunol. 2002,2, 569–579. [CrossRef] [PubMed] 12. Chaput, N.; Th é ry, C. Exosomes: Immune properties and potential clinical implementations. Semin. Immunopathol. 2011,33, 419–440. [CrossRef] [PubMed] 13. Johnstone, R.M. Exosomes biological significance: A concise review. Blood Cells Mol. Dis. 2006 ,36, 315–321. [CrossRef] [PubMed] 14. Mathivanan, S.; Ji, H.; Simpson, R.J. Exosomes: Extracellular organelles important in intercellular communication. J. Proteom. 2010,73, 1907–1920. [CrossRef] 15. Liga, A.; Vliegenthart, A.D.B.; Oosthuyzen, W.; Dear, J.W.; Kersaudy-Kerhoas, M. Exosome isolation: A microfluidic road-map. Lab Chip 2015,15, 2388–2394. [CrossRef] [PubMed] 16. Rubin, O.; Crettaz, D.; Canellini, G.; Tissot, J.D.; Lion, N. Microparticles in stored red blood cells: An approach using flow cytometry and proteomic tools. Vox Sang. 2008,95, 289–297. [CrossRef] [PubMed] 17. Wu, M.; Ouyang, Y.; Wang, Z.; Zhang, R.; Huang, P.H.; Chen, C.; Li, H.; Li, P.; Quinn, D.; Dao, M.; et al. Isolation of exosomes from whole blood by integrating acoustics and microfluidics. Proc. Natl. Acad. Sci. USA 2017,114, 10584–10589. [CrossRef] [PubMed] 18. Pan, B.T.; Teng, K.; Wu, C.; Adam, M.; Johnstone, R.M. Electron microscopic evidence for externalization of the transferrin receptor in vesicular form in sheep reticulocytes. J. Cell Biol. 1985 ,101, 942–948. [CrossRef] [PubMed] 19. Hershko, A.; Ciechanover, A.; Rose, I.A. Resolution of the ATP dependent proteolytic system from reticulocytes: A component that interacts with ATP. Proc. Natl. Acad. Sci. USA 1979 ,76, 3107–3110. [CrossRef] 20. Hasselgren, P.O.; Fischer, J.E. The ubiquitin-proteasome pathway: Review of a novel intracellular mechanism of muscle protein breakdown during sepsis and other catabolic conditions. Ann. Surg. 1997 ,225, 307–316. [CrossRef] [PubMed] 21. Harding, C.; Heuser, J.; Stahl, P. Endocytosis and intracellular processing of transferrin and colloidal gold-transferrin in rat reticulocytes: Demonstration of a pathway for receptor shedding. Eur. J. Cell Biol. 1984,35, 256–263. [PubMed]
Micromachines 2019,10, 392 22 of 29 22. Kalani, A.; Kamat, P.K.; Chaturvedi, P.; Tyagi, S.C.; Tyagi, N. Curcumin-primed exosomes mitigate endothelial cell dysfunction during hyperhomocysteinemia. Life Sci. 2014,107, 1–7. [CrossRef] 23. Simpson, R.J.; Jensen, S.S.; Lim, J.W.E. Proteomic profiling of exosomes: Current perspectives. Proteomics 2008,8, 4083–4099. [CrossRef] [PubMed] 24. Kowal, J.; Tkach, M.; Th é ry, C. Biogenesis and secretion of exosomes. Curr. Opin. Cell Biol. 2014 ,29, 116–125. [CrossRef] [PubMed] 25. Colombo, M.; Moita, C.; Van Niel, G.; Kowal, J.; Vigneron, J.; Benaroch, P.; Manel, N.; Moita, L.F.; Th é ry, C.; Raposo, G. Analysis of ESCRT functions in exosome biogenesis, composition and secretion highlights the heterogeneity of extracellular vesicles. J. Cell Sci. 2013,126, 5553–5565. [CrossRef] [PubMed] 26. Stuffers, S.; Sem Wegner, C.; Stenmark, H.; Brech, A. Multivesicular endosome biogenesis in the absence of ESCRTs. Traffic2009,10, 925–937. [CrossRef] [PubMed] 27. Colombo, M.; Raposo, G.; Th é ry, C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu. Rev. Cell Dev. Biol. 2014,30, 255–289. [CrossRef] [PubMed] 28. Zwicker, J.I.; Liebman, H.A.; Neuberg, D.; Lacroix, R.; Bauer, K.A.; Furie, B.C.; Furie, B. Tumor-derived tissue factor-bearing microparticles are associated with venous thromboembolic events in malignancy. Clin. Cancer Res. 2009,15, 6830–6840. [CrossRef] [PubMed] 29. Vojtech, L.; Woo, S.; Hughes, S.; Levy, C.; Ballweber, L.; Sauteraud, R.P.; Strobl, J.; Westerberg, K.; Gottardo, R.; Tewari, M.; et al. Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions. Nucleic Acids Res. 2014,42, 7290–7304. [CrossRef] 30. Ostrowski, M.; Carmo, N.B.; Krumeich, S.; Fanget, I.; Raposo, G.; Savina, A.; Moita, C.F.; Schauer, K.; Hume, A.N.; Freitas, R.P.; et al. Rab27a and Rab27b control different steps of the exosome secretion pathway. Nat. Cell Biol. 2010,12, 19–30. [CrossRef] 31. Hsu, C.; Morohashi, Y.; Yoshimura, S.I.; Manrique-Hoyos, N.; Jung, S.; Lauterbach, M.A.; Bakhti, M.; Grønborg, M.; Möbius, W.; Rhee, J.; et al. Regulation of exosome secretion by Rab35 and its GTPase-activating proteins TBC1D10A-C. J. Cell Biol. 2010,189, 223–232. [CrossRef] [PubMed] 32. Savina, A.; Fader, C.M.; Damiani, M.T.; Colombo, M.I. Rab11 promotes docking and fusion of multivesicular bodies in a calcium-dependent manner. Traffic2005,6, 131–143. [CrossRef] [PubMed] 33. Welz, T.; Wellbourne-Wood, J.; Kerkhoff, E. Orchestration of cell surface proteins by Rab11. Trends Cell Biol. 2014,24, 407–415. [CrossRef] [PubMed] 34. Chaineau, M.; Ioannou, M.S.; McPherson, P.S. Rab35: GEFs, GAPs and Effectors. Traffic 2013 ,14, 1109–1117. [CrossRef] [PubMed] 35. Fukuda, M. Rab27 Effectors, Pleiotropic Regulators in Secretory Pathways. Traffic 2013 ,14, 949–963. [CrossRef] [PubMed] 36. Console, L.; Scalise, M.; Indiveri, C. Exosomes in inflammation and role as biomarkers. Clin. Chim. Acta 2019,488, 165–171. [CrossRef] [PubMed] 37. Brody, I.; Ronquist, G.; Gottfries, A. Ultrastructural localization of the prostasome—An organelle in human seminal plasma. Ups. J. Med. Sci. 1983,88, 63–80. [CrossRef] 38. Aalberts, M.; van Dissel-Emiliani, F.M.F.; van Adrichem, N.P.H.; van Wijnen, M.; Wauben, M.H.; Stout, T.A.; Stoorvogel, W. Identification of distinct populations of prostasomes that differentially express prostate stem cell antigen, annexin A1, and GLIPR2 in humans. Biol. Reprod. 2012,86, 1–8. [CrossRef] 39. Lai, C.P.; Mardini, O.; Ericsson, M.; Prabhakar, S.; Maguire, C.A.; Chen, J.W.; Tannous, B.A.; Breakefield, X.O. Dynamic biodistribution of extracellular vesicles in vivo using a multimodal imaging reporter. ACS Nano 2014,8, 483–494. [CrossRef] 40. El Andaloussi, S.; Mäger, I.; Breakefield, X.O.; Wood, M.J.A. Extracellular vesicles: Biology and emerging therapeutic opportunities. Nat. Rev. Drug Discov. 2013,12, 347–357. [CrossRef] 41. Carayon, K.; Chaoui, K.; Ronzier, E.; Lazar, I.; Bertrand-Michel, J.; Roques, V.; Balor, S.; Terce, F.; Lopez, A.; Salom é , L.; et al. Proteolipidic composition of exosomes changes during reticulocyte maturation. J. Biol. Chem. 2011,286, 34426–34439. [CrossRef] [PubMed] 42. Stegmayr, B.; Ronquist, G. Promotive effect on human sperm progressive motility by prostasomes. Urol. Res. 1982,10, 253–257. [CrossRef] [PubMed] 43. Saez, F.; Sullivan, R. Prostasomes, post-testicular sperm maturation and fertility. Front. Biosci. 2016 ,21, 1464–1473. [CrossRef]
Micromachines 2019,10, 392 23 of 29 44. Fröhlich, D.; Kuo, W.P.; Frühbeis, C.; Sun, J.J.; Zehendner, C.M.; Luhmann, H.J.; Pinto, S.; Toedling, J.; Trotter, J.; Krämer-Albers, E.M. Multifaceted effects of oligodendroglial exosomes on neurons: Impact on neuronal firing rate, signal transduction and gene regulation. Philos. Trans. R. Soc. B 2014 ,369, 20130510. [CrossRef] 45. Kalra, H.; Simpson, R.J.; Ji, H.; Aikawa, E.; Altevogt, P.; Askenase, P.; Bond, V.C.; Borr à s, F.E.; Breakefield, X.; Budnik, V.; et al. Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation. PLoS Biol. 2012,10, e1001450. [CrossRef] [PubMed] 46. Cox, T.R.; Gartland, A.; Erler, J.T. The pre-metastatic niche: Is metastasis random [quest]. Bonekey Rep. 2012 , 1. [CrossRef] [PubMed] 47. D’Asti, E.; Garnier, D.; Lee, T.H.; Montermini, L.; Meehan, B.; Rak, J. Oncogenic extracellular vesicles in brain tumor progression. Front. Physiol. 2012,3, 294. [CrossRef] 48. Hood, J.L.; San Roman, S.; Wickline, S.A. Exosomes released by melanoma cells prepare sentinel lymph nodes for tumor metastasis. Cancer Res. 2011,71, 3792–3801. [CrossRef] 49. Wu, L.; Zhang, X.; Zhang, B.; Shi, H.; Yuan, X.; Sun, Y.; Pan, Z.; Qian, H.; Xu, W. Exosomes derived from gastric cancer cells activate NFκ B pathway in macrophages to promote cancer progression. Tumor Biol. 2016 , 37, 12169–12180. [CrossRef] 50. Chow, A.; Zhou, W.; Liu, L.; Fong, M.Y.; Champer, J.; Van Haute, D.; Chin, A.R.; Ren, X.; Gugiu, B.G.; Meng, Z.; et al. Macrophage immunomodulation by breast cancer-derived exosomes requires Toll-like receptor 2-mediated activation of NF-κB. Sci. Rep. 2014,4, 5750. [CrossRef] 51. Whiteside, T.L. Induced regulatory T cells in inhibitory microenvironments created by cancer. Expert Opin. Biol. Ther. 2014,14, 1411–1425. [CrossRef] [PubMed] 52. Szajnik, M.; Czystowska, M.; Szczepanski, M.J.; Mandapathil, M.; Whiteside, T.L. Tumor-derived microvesicles induce, expand and up-regulate biological activities of human regulatory T cells (Treg). PLoS ONE 2010,5, e11469. [CrossRef] [PubMed] 53. Czystowska, M.; Han, J.; Szczepanski, M.J.; Szajnik, M.; Quadrini, K.; Brandwein, H.; Hadden, J.W.; Signorelli, K.; Whiteside, T.L. IRX-2, a novel immunotherapeutic, protects human T cells from tumor-induced cell death. Cell Death Differ. 2009,16, 708–718. [CrossRef] [PubMed] 54. Jeong, W.K.; Wieckowski, E.; Taylor, D.D.; Reichert, T.E.; Watkins, S.; Whiteside, T.L. Fas ligand-positive membranous vesicles isolated from sera of patients with oral cancer induce apoptosis of activated T lymphocytes. Clin. Cancer Res. 2005,11, 1010–1020. 55. Skog, J.; Würdinger, T.; van Rijn, S.; Meijer, D.H.; Gainche, L.; Curry, W.T.; Carter, B.S.; Krichevsky, A.M.; Breakefield, X.O. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat. Cell Biol. 2008,10, 1470–1476. [CrossRef] [PubMed] 56. Bronisz, A.; Wang, Y.; Nowicki, M.O.; Peruzzi, P.; Ansari, K.I.; Ogawa, D.; Balaj, L.; De Rienzo, G.; Mineo, M.; Nakano, I.; et al. Extracellular vesicles modulate the glioblastoma microenvironment via a tumor suppression signaling network directed by miR-1. Cancer Res. 2014,74, 738–750. [CrossRef] [PubMed] 57. Scrivo, R.; Vasile, M.; Bartosiewicz, I.; Valesini, G. Inflammation as “common soil” of the multifactorial diseases. Autoimmun. Rev. 2011,10, 369–374. [CrossRef] [PubMed] 58. Zhang, H.G.; Liu, C.; Su, K.; Yu, S.; Zhang, L.; Zhang, S.; Wang, J.; Cao, X.; Grizzle, W.; Kimberly, R.P. A membrane form of TNFα presented by exosomes delays T cell activation-induced cell death. J. Immunol. 2006,176, 7385–7393. [CrossRef] [PubMed] 59. Ferrante, S.C.; Nadler, E.P.; Pillai, D.K.; Hubal, M.J.; Wang, Z.; Wang, J.M.; Gordish-Dressman, H.; Koeck, E.; Sevilla, S.; Wiles, A.A.; et al. Adipocyte-derived exosomal miRNAs: A novel mechanism for obesity-related disease. Pediatr. Res. 2015,77, 447–454. [CrossRef] 60. Ying, W.; Riopel, M.; Bandyopadhyay, G.; Dong, Y.; Birmingham, A.; Seo, J.B.; Ofrecio, J.M.; Wollam, J.; Hernandez-Carretero, A.; Fu, W.; et al. Adipose Tissue Macrophage-Derived Exosomal miRNAs Can Modulate in Vivo and in Vitro Insulin Sensitivity. Cell 2017,171, 372–384. [CrossRef] [PubMed] 61. Zhao, H.; Shang, Q.; Pan, Z.; Bai, Y.; Li, Z.; Zhang, H.; Zhang, Q.; Guo, C.; Zhang, L.; Wang, Q. Exosomes from adipose-derived stem cells attenuate adipose inflammation and obesity through polarizing M2 macrophages and beiging in white adipose tissue. Diabetes 2018,67, 235–247. [CrossRef] 62. Brinton, L.T.; Sloane, H.S.; Kester, M.; Kelly, K.A. Formation and role of exosomes in cancer. Cell. Mol. Life Sci. 2015,72, 659–671. [CrossRef] [PubMed]
Micromachines 2019,10, 392 24 of 29 63. György, B.; Szab ó , T.G.; P á szt ó i, M.; P á l, Z.; Misj á k, P.; Aradi, B.; L á szl ó , V.; P á llinger, É .; Pap, E.; Kittel, Á .; et al. Membrane vesicles, current state-of-the-art: Emerging role of extracellular vesicles. Cell. Mol. Life Sci. 2011,68, 2667–2688. [CrossRef] [PubMed] 64. Ronquist, G. Prostasomes are mediators of intercellular communication: From basic research to clinical implications. J. Intern. Med. 2012,271, 400–413. [CrossRef] [PubMed] 65. Ronquist, G.K.; Larsson, A.; Stavreus-Evers, A.; Ronquist, G. Prostasomes are heterogeneous regarding size and appearance but affiliated to one DNA-containing exosome family. Prostate 2012 ,72, 1736–1745. [CrossRef] [PubMed] 66. Johnstone, R.M. Revisiting the road to the discovery of exosomes. Blood Cells Mol. Dis. 2005 ,34, 214–219. [CrossRef] 67. Ronquist, K.G.; Ronquist, G.; Carlsson, L.; Larsson, A. Human prostasomes contain chromosomal DNA. Prostate 2009,69, 737–743. [CrossRef] [PubMed] 68. Taylor, D.D.; Gercel-Taylor, C. MicroRNA signatures of tumor-derived exosomes as diagnostic biomarkers of ovarian cancer. Gynecol. Oncol. 2008,110, 13–21. [CrossRef] 69. Pisitkun, T.; Shen, R.F.; Knepper, M.A. Identification and proteomic profiling of exosomes in human urine. Proc. Natl. Acad. Sci. USA 2004,101, 13368–13373. [CrossRef] 70. Vingtdeux, V.; Sergeant, N.; Bu é e, L. Potential contribution of exosomes to the prion-like propagation of lesions in Alzheimer’s disease. Front. Physiol. 2012,3, 229. [CrossRef] 71. Mathivanan, S.; Fahner, C.J.; Reid, G.E.; Simpson, R.J. ExoCarta 2012: Database of exosomal proteins, RNA and lipids. Nucleic Acids Res. 2012,40, D1241–D1244. [CrossRef] [PubMed] 72. Nordin, J.Z.; Lee, Y.; Vader, P.; Mäger, I.; Johansson, H.J.; Heusermann, W.; Wiklander, O.P.B.; Hällbrink, M.; Seow, Y.; Bultema, J.J.; et al. Ultrafiltration with size-exclusion liquid chromatography for high yield isolation of extracellular vesicles preserving intact biophysical and functional properties. Nanomedicine 2015 ,11, 879–883. [CrossRef] [PubMed] 73. Blanc, L.; De Gassart, A.; G é minard, C.; Bette-Bobillo, P.; Vidal, M. Exosome release by reticulocytes—An integral part of the red blood cell differentiation system. Blood Cells Mol. Dis. 2005 ,35, 21–26. [CrossRef] [PubMed] 74. Porto-Carreiro, I.; F é vrier, B.; Paquet, S.; Vilette, D.; Raposo, G. Prions and exosomes: From PrPc trafficking to PrPsc propagation. Blood Cells Mol. Dis. 2005,35, 143–148. [CrossRef] [PubMed] 75. Lin, X.P.; Almqvist, N.; Telemo, E. Human small intestinal epithelial cells constitutively express the key elements for antigen processing and the production of exosomes. Blood Cells Mol. Dis. 2005 ,35, 122–128. [CrossRef] [PubMed] 76. V é ron, P.; Segura, E.; Sugano, G.; Amigorena, S.; Th é ry, C. Accumulation of MFG-E8/lactadherin on exosomes from immature dendritic cells. Blood Cells Mol. Dis. 2005,35, 81–88. [CrossRef] [PubMed] 77. Sharma, S.; Rasool, H.I.; Palanisamy, V.; Mathisen, C.; Schmidt, M.; Wong, D.T.; Gimzewski, J.K. Structural-mechanical characterization of nanoparticle exosomes in human saliva, using correlative AFM, FESEM, and force spectroscopy. ACS Nano 2010,4, 1921–1926. [CrossRef] [PubMed] 78. Villarroya-Beltri, C.; Baixauli, F.; Guti é rrez-V á zquez, C.; S á nchez-Madrid, F.; Mittelbrunn, M. Sorting it out: Regulation of exosome loading. Semin. Cancer Biol. 2014,28, 3–13. [CrossRef] [PubMed] 79. Bolukbasi, M.F.; Mizrak, A.; Ozdener, G.B.; Madlener, S.; Ströbel, T.; Erkan, E.P.; Fan, J.B.; Breakefield, X.O.; Saydam, O. MiR-1289 and “zipcode”-like sequence enrich mRNAs in microvesicles. Mol. Ther. Nucleic Acids 2012,1, e10. [CrossRef] [PubMed] 80. Subra, C.; Laulagnier, K.; Perret, B.; Record, M. Exosome lipidomics unravels lipid sorting at the level of multivesicular bodies. Biochimie 2007,89, 205–212. [CrossRef] 81. De Broe, M.E.; Wieme, R.J.; Logghe, G.N.; Roels, F. Spontaneous shedding of plasma membrane fragments by human cells in vivo and in vitro. Clin. Chim. Acta 1977,81, 237–245. [CrossRef] 82. Thakur, B.K.; Zhang, H.; Becker, A.; Matei, I.; Huang, Y.; Costa-Silva, B.; Zheng, Y.; Hoshino, A.; Brazier, H.; Xiang, J.; et al. Double-stranded DNA in exosomes: A novel biomarker in cancer detection. Cell Res. 2014 , 24, 766–769. [CrossRef] [PubMed] 83. Kalra, H.; Drummen, G.P.C.; Mathivanan, S. Focus on extracellular vesicles: Introducing the next small big thing. Int. J. Mol. Sci. 2016,17, 170. [CrossRef] [PubMed]
Micromachines 2019,10, 392 25 of 29 84. Ying, W.; Wollam, J.; Ofrecio, J.M.; Bandyopadhyay, G.; El Ouarrat, D.; Lee, Y.S.; Li, P.; Osborn, O.; Olefsky, J.M. Adipose tissue B2 cells promote insulin resistance through leukotriene LTB4/LTB4R1 signaling. J. Clin. Investig. 2017,127, 1019–1030. [CrossRef] 85. Skriner, K.; Adolph, K.; Jungblut, P.R.; Burmester, G.R. Association of citrullinated proteins with synovial exosomes. Arthritis Rheum. 2006,54, 3809–3814. [CrossRef] [PubMed] 86. Kim, D.K.; Kang, B.; Kim, O.Y.; Choi, D.S.; Lee, J.; Kim, S.R.; Go, G.; Yoon, Y.J.; Kim, J.H.; Jang, S.C.; et al. EVpedia: An integrated database of high-throughput data for systemic analyses of extracellular vesicles. J. Extracell. Vesicles 2013,2, 20384. [CrossRef] 87. Vaidyanathan, R.; Soon, R.H.; Zhang, P.; Jiang, K.; Lim, C.T. Cancer diagnosis: From tumor to liquid biopsy and beyond. Lab Chip 2019,19, 11–34. [CrossRef] [PubMed] 88. Iliescu, F.S.; Sim, W.J.; Heidari, H.P.; Poenar, D.; Miao, J.; Taylor, H.K.; Iliescu, C. Highlighting the uniqueness in dielectrophoretic enrichment of circulating tumor cells. Electrophoresis 2019,40, 1457–1477. [CrossRef] 89. Contreras-Naranjo, J.C.; Wu, H.-J.; Ugaz, V.M. Microfluidics for exosome isolation and analysis: Enabling liquid biopsy for personalized medicine. Lab Chip 2017,17, 3558–3577. [CrossRef] 90. De Vrij, J.; Maas, S.L.N.; Van Nispen, M.; Sena-Esteves, M.; Limpens, R.W.A.; Koster, A.J.; Leenstra, S.; Lamfers, M.L.; Broekman, M.L.D. Quantification of nanosized extracellular membrane vesicles with scanning ion occlusion sensing. Nanomedicine 2013,8, 1443–1458. [CrossRef] 91. Cheng, L.; Sharples, R.A.; Scicluna, B.J.; Hill, A.F. Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell-free blood. J. Extracell. Vesicles 2014 ,3, 23743. [CrossRef] 92. Th é ry, C.; Amigorena, S.; Raposo, G.; Clayton, A. Isolation and characterization of exosomes from cell culture supernatants and biological fluids. Curr. Protoc. Cell Biol. 2006,30, 3–22. [CrossRef] 93. Chen, C.; Skog, J.; Hsu, C.H.; Lessard, R.T.; Balaj, L.; Wurdinger, T.; Carter, B.S.; Breakefield, X.O.; Toner, M.; Irimia, D. Microfluidic isolation and transcriptome analysis of serum microvesicles. Lab Chip 2010 ,10, 505–511. [CrossRef] 94. Simpson, R.J.; Lim, J.W.; Moritz, R.L.; Mathivanan, S. Exosomes: Proteomic insights and diagnostic potential. Expert Rev. Proteom. 2009,6, 267–283. [CrossRef] 95. Rho, J.; Chung, J.; Im, H.; Liong, M.; Shao, H.; Castro, C.M.; Weissleder, R.; Lee, H. Magnetic nanosensor for detection and profiling of erythrocyte-derived microvesicles. ACS Nano 2013,7, 11227–11233. [CrossRef] 96. Lee, K.; Shao, H.; Weissleder, R.; Lee, H. Acoustic purification of extracellular microvesicles. ACS Nano 2015 , 9, 2321–2327. [CrossRef] [PubMed] 97. Wunsch, B.H.; Smith, J.T.; Gifford, S.M.; Wang, C.; Brink, M.; Bruce, R.L.; Austin, R.H.; Stolovitzky, G.; Astier, Y. Nanoscale lateral displacement arrays for the separation of exosomes and colloids down to 20 nm. Nat. Nanotechnol. 2016,11, 936–940. [CrossRef] [PubMed] 98. Huang, L.R.; Cox, E.C.; Austin, R.H.; Sturm, J.C. Continuous particle separation through deterministic lateral displacement. Science 2004,304, 987–990. [CrossRef] 99. Kanwar, S.S.; Dunlay, C.J.; Simeone, D.M.; Nagrath, S. Microfluidic device (ExoChip) for on-chip isolation, quantification and characterization of circulating exosomes. Lab Chip 2014 ,14, 1891–1900. [CrossRef] [PubMed] 100. Zhang, P.; He, M.; Zeng, Y. Ultrasensitive microfluidic analysis of circulating exosomes using a nanostructured graphene oxide/polydopamine coating. Lab Chip 2016,16, 3033–3042. [CrossRef] [PubMed] 101. Zhao, Z.; Yang, Y.; Zeng, Y.; He, M. A microfluidic ExoSearch chip for multiplexed exosome detection towards blood-based ovarian cancer diagnosis. Lab Chip 2016,16, 489–496. [CrossRef] [PubMed] 102. Shao, H.; Chung, J.; Balaj, L.; Charest, A.; Bigner, D.D.; Carter, B.S.; Hochberg, F.H.; Breakefield, X.O.; Weissleder, R.; Lee, H. Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy. Nat. Med. 2012,18, 1835–1840. [CrossRef] [PubMed] 103. Chung, H.J.; Castro, C.M.; Im, H.; Lee, H.; Weissleder, R. A magneto-DNA nanoparticle system for rapid detection and phenotyping of bacteria. Nat. Nanotechnol. 2013,8, 369–375. [CrossRef] 104. Lee, S.-K.; Kim, G.-S.; Wu, Y.; Kim, D.-J.; Lu, Y.; Kwak, M.; Han, L.; Hyung, J.-H.; Seol, J.-K.; Sander, C. Nanowire substrate-based laser scanning cytometry for quantitation of circulating tumor cells. Nano Lett. 2012,12, 2697–2704. [CrossRef] [PubMed] 105. Liu, Y.; Dong, X.; Chen, P. Biological and chemical sensors based on graphene materials. Chem. Soc. Rev. 2012,41, 2283–2307. [CrossRef] [PubMed]