4.7 Article

A FRET pair for quantitative and superresolution imaging of amyloid fibril formation

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 350, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2021.130882

关键词

Amyloid fibrils; Protein aggregation; Solvatochromic dyes; Biomarkers; FLIM; STED microscopy

资金

  1. Universidad de Granada/CBUA
  2. Spanish Ministerio de Educacion y Formacion Profesional
  3. [CTQ2017-85658-R]
  4. [MCIN/AEI/10.13039/501100011033/FEDER]
  5. [PID2019-104366RB-C22]
  6. [PID2020-114256RB-I00]
  7. [MCIN/AEI/10.13039/501100011033]

向作者/读者索取更多资源

The presence of neuritic plaques and amyloid fibrils is key in neurodegenerative diseases, and new methodologies are emerging to study the early stages of amyloid aggregation. This study utilizes two different fluorophores to detect and quantify amyloid species through multidimensional fluorescence lifetime imaging microscopy, providing a better understanding of the mechanism of fibrillization and cytotoxicity.
The presence of neuritic plaques and amyloid fibrils arising from the misfolding of certain proteins is the principal molecular indicator of neurodegenerative diseases such as Alzheimer's and Parkinson's disease. Methodologies for studying the early stages of amyloid aggregation are rapidly arising to provide a better understanding of the mechanism of fibrillization and cytotoxicity and to identify potential targets for diagnosis and therapy. The method presented here involves the simultaneous use of two different fluorophores, a quinolimide derivative and Nile Blue A. These are capable of interacting with and reporting on the formation of preamyloid aggregates and fibrils of apoferritin through fluorescence resonance energy transfer (FRET), which occurs between them, thus maximizing the contrast in detection and quantitative information of such amyloid species by using multidimensional fluorescence lifetime imaging microscopy (FLIM).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据