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Related Experiment Video

Updated: Jun 17, 2026

Imaging Amyloid Tissues Stained with Luminescent Conjugated Oligothiophenes by Hyperspectral Confocal Microscopy and Fluorescence Lifetime Imaging

Imaging Amyloid Tissues Stained with Luminescent Conjugated Oligothiophenes by Hyperspectral Confocal Microscopy and Fluorescence Lifetime Imaging

Published on: October 20, 2017

Analyzing Amyloid Beta Aggregates with a Combinatorial Fluorescent Molecular Sensor.

Joydev Hatai¹, Leila Motiei¹, David Margulies¹

¹Department of Organic Chemistry, Weizmann Institute of Science , Rehovot 7610001, Israel.

Journal of the American Chemical Society

|February 8, 2017

Summary

This summary is machine-generated.

A novel fluorescent sensor distinguishes various amyloid beta (Aβ) aggregates. This analytical device tracks dynamic changes in Aβ aggregation states, aiding in understanding Alzheimer's disease pathology.

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Last Updated: Jun 17, 2026

Imaging Amyloid Tissues Stained with Luminescent Conjugated Oligothiophenes by Hyperspectral Confocal Microscopy and Fluorescence Lifetime Imaging

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Published on: October 20, 2017

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Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease

Published on: April 19, 2021

Area of Science:

Biochemistry
Molecular Biology
Neuroscience

Background:

Amyloid beta (Aβ) aggregation is central to Alzheimer's disease pathogenesis.
Distinguishing between different Aβ aggregate species is crucial for understanding disease mechanisms.
Current methods for characterizing Aβ aggregates can be complex and time-consuming.

Purpose of the Study:

To develop and validate a combinatorial fluorescent molecular sensor for discriminating between different amyloid beta (Aβ) aggregates.
To utilize the sensor to analyze dynamic changes in Aβ aggregation states.
To provide a simple and effective tool for Aβ research.

Main Methods:

Development of a unimolecular analytical device employing combinatorial fluorescence.
Utilizing unique optical fingerprints generated by the sensor.
Applying the sensor to monitor Aβ aggregation pathways and states.

Main Results:

The sensor successfully discriminated between Aβ aggregates formed from different alloforms and through distinct pathways.
Unique optical fingerprints were generated for each Aβ aggregate type.
The sensor effectively tracked dynamic changes in Aβ aggregation, including oligomers, protofibrils, and fibrils.

Conclusions:

A combinatorial fluorescent molecular sensor offers a simple and effective method for discriminating diverse amyloid beta (Aβ) aggregates.
The sensor's ability to generate unique optical fingerprints facilitates the differentiation of Aβ alloforms and aggregation pathways.
This tool enables the monitoring of dynamic changes in Aβ aggregation states, contributing to Alzheimer's disease research.