Suppr超能文献

用于检测血液中细胞外囊泡携带生物标志物的化学计量学限制。

Stoichiometric constraints for detection of EV-borne biomarkers in blood.

作者信息

Zarovni Nataša, Mladenović Danilo, Brambilla Dario, Panico Federica, Chiari Marcella

机构信息

Day One Srl, Rome, Italy.

RoseBio, Milan, Italy.

出版信息

J Extracell Vesicles. 2025 Feb;14(2):e70034. doi: 10.1002/jev2.70034.

Abstract

Stochiometric issues, encompassing both the quantity and heterogeneity of extracellular vesicles (EVs) derived from tumour or other tissues in blood, pose important challenges across various stages of biomarker discovery and detection, affecting the integrity of data, introducing losses and artifacts during blood processing, EV purification and analysis. These challenges shape the diagnostic utility of EVs especially within the framework of established and emerging methodologies. By addressing these challenges, we aim to delineate crucial parameters and requirements for tumour-specific EV detection, or more precisely, for tumour identification via EV based assays. Our endeavour involves a comprehensive examination of the layers that mask or confound the traceability of EV markers such as nucleic acids and proteins, and focus on 'low prevalence-low concentration' scenario. Finally, we evaluate the advantages versus limitations of single-particle analysers over more conventional bulk assays, suggesting that the combined use of both to capture and interpret the EV signals, in particular the EV surface displayed proteins, may ultimately provide quantitative information on their absolute abundance and distribution.

摘要

化学计量学问题,包括血液中源自肿瘤或其他组织的细胞外囊泡(EV)的数量和异质性,在生物标志物发现和检测的各个阶段都构成了重大挑战,影响数据的完整性,在血液处理、EV纯化和分析过程中引入损失和假象。这些挑战决定了EV在既定和新兴方法框架内的诊断效用。通过应对这些挑战,我们旨在勾勒出肿瘤特异性EV检测的关键参数和要求,或者更准确地说,是通过基于EV的检测进行肿瘤识别的关键参数和要求。我们的工作包括全面审视掩盖或混淆EV标志物(如核酸和蛋白质)可追溯性的各个层面,并关注“低流行率-低浓度”情况。最后,我们评估了单颗粒分析仪相对于更传统的批量检测方法的优缺点,表明结合使用这两种方法来捕获和解释EV信号,特别是EV表面展示的蛋白质,最终可能提供有关其绝对丰度和分布的定量信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0670/11791308/aa0d49ddf69a/JEV2-14-e70034-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验