Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies

Yao, Xue; Liao, Baixue; Chen, Feng; Liu, Lüye; Wu, Kaiwen; Hao, Yaying; Li, Yanping; Wang, Yuebin; Fan, Ruiling; Yin, Jun; Liu, Lei; Guo, Yuanbiao

doi:10.3389/fbioe.2023.1108952

Cited by 3 publications

(1 citation statement)

References 87 publications

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“…In this regard, a substantial analysis of EV circRNA signatures can identify lung-cancer-regulated miRNA [ 100 , 102 ]. Furthermore, a proteomic analysis of EV content offers the opportunity to acquire more information about EV biology and identify new biomarkers, contributing to early diagnosis and the design of valid treatments [ 180 ] ( Figure 2 ). There are many difficulties and limitations, but the multi-omics approach has a very bright future and will undoubtedly provide much more information on these nano-sized biological entities.…”

Section: Conclusion and Remarksmentioning

confidence: 99%

Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives

Carreca,

Tinnirello,

Miceli

et al. 2024

Cancers

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Lung cancer represents the leading cause of cancer-related mortality worldwide, with around 1.8 million deaths in 2020. For this reason, there is an enormous interest in finding early diagnostic tools and novel therapeutic approaches, one of which is extracellular vesicles (EVs). EVs are nanoscale membranous particles that can carry proteins, lipids, and nucleic acids (DNA and RNA), mediating various biological processes, especially in cell–cell communication. As such, they represent an interesting biomarker for diagnostic analysis that can be performed easily by liquid biopsy. Moreover, their growing dataset shows promising results as drug delivery cargo. The aim of our work is to summarize the recent advances in and possible implications of EVs for early diagnosis and innovative therapies for lung cancer.

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Section: Conclusion and Remarksmentioning

confidence: 99%

Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives

Carreca,

Tinnirello,

Miceli

et al. 2024

Cancers

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Extracellular Vesicle Preparation and Analysis: A State‐of‐the‐Art Review

Wang,

Zhou,

Kong

et al. 2024

Advanced Science

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In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles in both health and disease states, offering promising applications in disease diagnosis, drug delivery, and therapy. However, their inherent heterogeneity and complex origins pose significant challenges to their preparation, analysis, and subsequent clinical application. This review is structured to provide an overview of the biogenesis, composition, and various sources of EVs, thereby laying the groundwork for a detailed discussion of contemporary techniques for their preparation and analysis. Particular focus is given to state‐of‐the‐art technologies that employ both microfluidic and non‐microfluidic platforms for EV processing. Furthermore, this discourse extends into innovative approaches that incorporate artificial intelligence and cutting‐edge electrochemical sensors, with a particular emphasis on single EV analysis. This review proposes current challenges and outlines prospective avenues for future research. The objective is to motivate researchers to innovate and expand methods for the preparation and analysis of EVs, fully unlocking their biomedical potential.

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Salivary Extracellular Vesicles Separation: Analysis of Ultracentrifugation‐Based Protocols

Itzel,

Eduardo,

Velia

et al. 2024

Oral Diseases

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IntroductionThe clinical potential of extracellular vesicles (EVs) is widely acknowledged, yet the standardization and reproducibility of its separation remain challenging. This study compares three protocols: ultracentrifugation (UC), UC with purification step (UC + PS), and a combined protocol using polymer‐based precipitation and UC (PBP + UC).MethodsSalivary samples were collected from healthy donors. EVs were separated (UC, UC + PS, and PBP + UC) and characterized using transmission electron microscopy, nanoparticle tracking analysis, EV purity, RNA concentration, and Western blotting. miRNA expression was evaluated by quantitative RT‐PCR. Statistical analyses comparing groups were performed using ANOVA.ResultsAll methods successfully separated CD9+ and CD63+ EVs from saliva. The UC + PS and PBP + UC protocols yielded the highest concentrations of EVs, enriched in < 200 nm vesicles. EV purity and RNA recovery were comparable among all methods. Expression of miR‐16, miR‐27a, and miR‐99a was successfully detected using all methods.ConclusionsThe UC + PS and PBP + UC protocols demonstrate comparable efficiency in separating salivary EVs. However, the combined PBP + UC protocol, with its simplified processing capability, offers a significant advantage, particularly in the initial phase of EV separation. This finding suggests its potential application in clinical settings where time‐sensitive simple processing is critical. Further validation is needed to confirm its effectiveness for transcriptomic and proteomic analyses.

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Comparison of proteomic landscape of extracellular vesicles in pleural effusions isolated by three strategies

Cited by 3 publications

References 87 publications

Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives

Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives

Extracellular Vesicle Preparation and Analysis: A State‐of‐the‐Art Review

Salivary Extracellular Vesicles Separation: Analysis of Ultracentrifugation‐Based Protocols

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