A paper-supported aptasensor based on upconversion luminescence resonance energy transfer for the accessible determination of exosomes

Chen, Xiaosong; Lan, Jianming; Liu, Yingxin; Li, Li; Liu, Yan; Xia, Yaokun; Wu, Fang; Li, Chunyan; Liu, Shirong; Chen, Jinghua

doi:10.1016/j.bios.2017.12.012

Cited by 122 publications

(81 citation statements)

References 54 publications

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“…These procedures are simple, fast, low-cost, and widely available, making them a perfect candidate for clinical implementation and point-of-care analysis. For example, Chen et al developed a paper-supported aptasensor based on luminescence resonance energy transfer (LRET) from upconversion nanoparticles to gold nanorods [159]. A DNA aptamer of the CD63 protein is split in two and one part is immobilized on a filter paper surface together with the upconversion nanoparticles, while the other part is attached to the gold nanorods and added together with the EV sample on the paper.…”

Section: Emerging Technologies For Ev Analysismentioning

confidence: 99%

Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches

et al. 2019

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Extracellular vesicles (EVs) are a family of small membrane vesicles that carry information about cells by which they are secreted. Growing interest in the role of EVs in intercellular communication, but also in using their diagnostic, prognostic and therapeutic potential in (bio) medical applications, demands for accurate assessment of their biochemical and physical properties. In this review, we provide an overview of available technologies for EV analysis by describing their working principles, assessing their utility in EV research and summarising their potential and limitations. To emphasise the innovations in EV analysis, we also highlight the unique possibilities of emerging technologies with high potential for further development.

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Section: Emerging Technologies For Ev Analysismentioning

confidence: 99%

Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches

et al. 2019

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“…Furthermore, by modulating seven different aptamers (CD63, EpCAM, prostate-specific membrane antigen, protein tyrosine kinase-7, carcinoembryonic antigen, platelet-derived growth factor), the expression level on EVs derived from serum samples of prostate cancer patients and healthy individuals. Taking advantage of the similar absorption property of GO, Zhang et al constructed a biosensing platform based on the Cy3-labeled aptamer-CD63 and Ti 3 C 2 MXenes complex for EVs detection [61]. The selective adsorption of Cy3-labeled aptamer-CD63 on Ti 3 C 2 MXenes via hydrogen bond and metal chelate interaction results in a fluorescence quenching of the labeled Cy3 dye.…”

Section: Colorimetric/fluorescence-based Analysis Methods For Ev Detementioning

confidence: 99%

Applications of Bionano Sensor for Extracellular Vesicles Analysis

2020

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Recently, extracellular vesicles (EVs) and their contents have been revealed to play crucial roles in the intrinsic intercellular communications and have received extensive attention as next-generation biomarkers for diagnosis of diseases such as cancers. However, due to the structural nature of the EVs, the precise isolation and characterization are extremely challenging. To this end, tremendous efforts have been made to develop bionano sensors for the precise and sensitive characterization of EVs from a complex biologic fluid. In this review, we will provide a detailed discussion of recently developed bionano sensors in which EVs analysis applications were achieved, typically in optical and electrochemical methods. We believe that the topics discussed in this review will be useful to provide a concise guideline in the development of bionano sensors for EVs monitoring in the future. The development of a novel strategy to monitor various bio/chemical materials from EVs will provide promising information to understand cellular activities in a more precise manner and accelerates research on both cancer and cell-based therapy.

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“…Based on fluorimetic/chemiluminescent molecules and nanoparticles (e.g., fluorophores and quantum dots), paperbased DNA biosensors also are often constructed for the detection of different analysts, such as metal ions, DNAs and cancer cells [407][408][409][410][411][412]. For example, Wang and partners [412] developed a chemiluminescent PADs to distinguish target DNA from single-mismatched one by employing carbon dots dotted nanoporous gold as amplification signal label.…”

Section: Paper-based Devicementioning

confidence: 99%

“…Various nucleic acid-mediated reactions have been exploited in PADs, including simple DNA hybridization [378,379,389,395,409] and complex reactions, such as PCR [415], RPA [398,416], RCA [396,399,417], and SDA [418,419]. The sensing interfaces are composed of oligonucleotide monolayers [379,412,420], composite multilayer [378,409] and 3D nucleic acid materials [399,410] or oligonucleotide-containing heterogeneous nanostructures [123].…”

Section: Paper-based Devicementioning

confidence: 99%

Nucleic Acids Analysis

Zhao

Zuo

et al. 2020

Sci. China Chem.

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In recent years, multi-modal entity linking (MEL) has garnered increasing attention in the research community due to its significance in numerous multi-modal applications. Video, as a popular means of information transmission, has become prevalent in people's daily lives. However, most existing MEL methods primarily focus on linking textual and visual mentions or offline videos's mentions to entities in multi-modal knowledge bases, with limited efforts devoted to linking mentions within online video content. In this paper, we propose a task called Online Video Entity Linking (OVEL), aiming to establish connections between mentions in online videos and a knowledge base with high accuracy and timeliness. To facilitate the research works of OVEL, we specifically concentrate on live delivery scenarios and construct a live delivery entity linking dataset called LIVE. Besides, we propose an evaluation metric that considers timelessness, robustness, and accuracy. Furthermore, to effectively handle OVEL task, we leverage a memory block managed by a Large Language Model and retrieve entity candidates from the knowledge base to augment LLM performance on memory management. The experimental results prove the effectiveness and efficiency of our method.

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A paper-supported aptasensor based on upconversion luminescence resonance energy transfer for the accessible determination of exosomes

Cited by 122 publications

References 54 publications

Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches

Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches

Applications of Bionano Sensor for Extracellular Vesicles Analysis

Nucleic Acids Analysis

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