Visualization and intracellular dynamic tracking of exosomes and exosomal miRNAs using single molecule localization microscopy

Chen, Chen; Zong, Shenfei; Wang, Zhuyuan; Ju, Lu; Zhu, Dan; Zhang, Yizhi; Zhang, Ruohu; Cui, Yiping

doi:10.1039/c7nr08800k

Cited by 55 publications

(57 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Exosomes Isolation : Isolation of exosomes from cell culture media was carried out as previously described, according to the manufacturer's instructions . For clinical sample detection, seven healthy samples (three were females and four males), seven breast cancer samples (all females), seven pancreatic cancer samples (two were females and five males) and seven unknown samples were enrolled in the study.…”

Section: Methodsmentioning

confidence: 99%

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA‐PAINT with Machine‐ Learning‐Based Classification

Chen

Zong

Liu

et al. 2019

Small

Self Cite

View full text Add to dashboard Cite

Exosomes are endosome‐derived vesicles enriched in body fluids such as urine, blood, and saliva. So far, they have been recognized as potential biomarkers for cancer diagnostics. However, the present single‐variate analysis of exosomes has greatly limited the accuracy and specificity of diagnoses. Besides, most diagnostic approaches focus on bulk analysis using lots of exosomes and tend to be less accurate because they are vulnerable to impure extraction and concentration differences of exosomes. To address these challenges, a quantitative analysis platform is developed to implement a sequential quantification analysis of multiple exosomal surface biomarkers at the single‐exosome level, which utilizes DNA‐PAINT and a machine learning algorithm to automatically analyze the results. As a proof of concept, the profiling of four exosomal surface biomarkers (HER2, GPC‐1, EpCAM, EGFR) is developed to identify exosomes from cancer‐derived blood samples. Then, this technique is further applied to detect pancreatic cancer and breast cancer from unknown samples with 100% accuracy.

show abstract

Section: Methodsmentioning

confidence: 99%

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA‐PAINT with Machine‐ Learning‐Based Classification

Chen

Zong

Liu

et al. 2019

Small

Self Cite

View full text Add to dashboard Cite

show abstract

“…We and other have investigated cell uptake in several cell lines [ 150 , 151 , 152 , 153 ]. Several methods were used to study exosomal uptake in vitro and in vivo.…”

Section: Exosome Internalizationmentioning

confidence: 99%

Exosome and Macrophage Crosstalk in Sleep-Disordered Breathing-Induced Metabolic Dysfunction

Kheirandish‐Gozal

Gozal

2018

IJMS

View full text Add to dashboard Cite

Obstructive sleep apnea (OSA) is a highly prevalent worldwide public health problem that is characterized by repetitive upper airway collapse leading to intermittent hypoxia, pronounced negative intrathoracic pressures, and recurrent arousals resulting in sleep fragmentation. Obesity is a major risk factor of OSA and both of these two closely intertwined conditions result in increased sympathetic activity, oxidative stress, and chronic low-grade inflammation, which ultimately contribute, among other morbidities, to metabolic dysfunction, as reflected by visceral white adipose tissue (VWAT) insulin resistance (IR). Circulating extracellular vesicles (EVs), including exosomes, are released by most cell types and their cargos vary greatly and reflect underlying changes in cellular homeostasis. Thus, exosomes can provide insights into how cells and systems cope with physiological perturbations by virtue of the identity and abundance of miRNAs, mRNAs, proteins, and lipids that are packaged in the EVs cargo, and are secreted from the cells into bodily fluids under normal as well as diseased states. Accordingly, exosomes represent a novel pathway via which a cohort of biomolecules can travel long distances and result in the modulation of gene expression in selected and targeted recipient cells. For example, exosomes secreted from macrophages play a critical role in innate immunity and also initiate the adaptive immune response within specific metabolic tissues such as VWAT. Under normal conditions, phagocyte-derived exosomes represent a large portion of circulating EVs in blood, and carry a protective signature against IR that is altered when secreting cells are exposed to altered physiological conditions such as those elicited by OSA, leading to emergence of IR within VWAT compartment. Consequently, increased understanding of exosome biogenesis and biology should lead to development of new diagnostic biomarker assays and personalized therapeutic approaches. Here, the evidence on the major biological functions of macrophages and exosomes as pathophysiological effectors of OSA-induced metabolic dysfunction is discussed.

show abstract

“…New techniques, including nanoparticle tracking analysis (NTA) (11,12), tunable resistive pulse sensing (13,14), flow cytometry (FC) (15,16), and surface plasmon resonance (SPR) (17,18) are powerful, but have their own limitations in throughput, sensitivity, or multiplexing capability (8,9). Fundamental knowledge about how exosomes interact with cells to alter the physiology is difficult to discover, since conventional optical microscopy is not able to visualize exosomes, and complex labeling is required (19,20).…”

mentioning

confidence: 99%

Interferometric plasmonic imaging and detection of single exosomes

Yang

Shen

Wang

et al. 2018

Proc. Natl. Acad. Sci. U.S.A.

162

181

View full text Add to dashboard Cite

Exosomes play an important role in numerous cellular processes. Fundamental study and practical use of exosomes are significantly constrained by the lack of analytical tools capable of physical and biochemical characterization. In this paper, we present an optical approach capable of imaging single exosomes in a label-free manner, using interferometric plasmonic microscopy. We demonstrate monitoring of the real-time adsorption of exosomes onto a chemically modified Au surface, calculating the image intensity, and determining the size distribution. The sizing capability enables us to quantitatively measure the membrane fusion activity between exosomes and liposomes. We also report the recording of the dynamic interaction between exosomes and antibodies at the single-exosome level, and the tracking of hit-stay-run behavior of exosomes on an antibody-coated surface. We anticipate that the proposed method will contribute to clinical exosome analysis and to the exploration of fundamental issues such as the exosome–antibody binding kinetics.

show abstract

Visualization and intracellular dynamic tracking of exosomes and exosomal miRNAs using single molecule localization microscopy

Cited by 55 publications

References 35 publications

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA‐PAINT with Machine‐ Learning‐Based Classification

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA‐PAINT with Machine‐ Learning‐Based Classification

Exosome and Macrophage Crosstalk in Sleep-Disordered Breathing-Induced Metabolic Dysfunction

Interferometric plasmonic imaging and detection of single exosomes

Contact Info

Product

Resources

About