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Optimized Negative Staining: a High-throughput Protocol for Examining Small and Asymmetric Protein Structure by Electron Microscopy
Published on: August 15, 2014
Optimizing grid preparation methods for TEM imaging of amyloid-forming proteins
Ramzi Chellali1, Sisareuth Tan1, Lucie Khemtemourian1
1Univ. Bordeaux, CNRS, Bordeaux INP, CBMN, UMR 5248, F-33600 Pessac, France.
Abstract:
Transmission electron microscopy (TEM), together with Thioflavin T (ThT) fluorescence assays, is widely used to visualize amyloid fibrils and to characterize the kinetics of amyloid formation. However, discrepancies between ThT fluorescence data and TEM observations are sometimes reported, which may arise from limitations in fibril visualization by TEM. In particular, TEM imaging can be strongly influenced by the sample loading procedure on the grid, which governs fibril deposition and retention. In this work, five different grid preparation methods were compared to evaluate their efficiency in detecting and visualizing human islet amyloid polypeptide (hIAPP) fibrils, which are present in 95% of patients with type 2 diabetes mellitus. The methods were assessed based on detection speed, morphological representation, fibril abundance and grid contamination. The two best-performing methods were further evaluated for detecting early hIAPP aggregates and subsequently applied to another amyloid forming protein, namely amyloid-β 42 (Aβ42), which is involved in Alzheimer's disease. Among the tested approaches, method 2 (a droplet-deposition protocol) and method 3 (a centrifugation-based loading protocol) provided the most efficient fibril detection and morphological representation. Method 2 was identified as the best compromise between rapid detection, experimental simplicity, and low grid contamination, and was further tested under different buffer conditions. Overall, this comparative study demonstrated that variations in grid preparation protocols can significantly influence TEM observations and provide practical guidance for selecting optimal conditions for amyloid fibril imaging depending on experimental objectives.
Insights
Optimizing grid preparation methods is crucial for accurate Transmission Electron Microscopy (TEM) imaging of amyloid fibrils. Method 2 (droplet deposition) offers the best balance for detecting human islet amyloid polypeptide (hIAPP) and amyloid-beta 42 (Aβ42) fibrils.
Area of Science:
- Biophysics
- Biochemistry
- Microscopy
Background:
- Transmission electron microscopy (TEM) and Thioflavin T (ThT) assays are standard for amyloid fibril studies.
- Discrepancies between ThT fluorescence and TEM can arise from limitations in TEM visualization, particularly sample preparation.
- Grid preparation significantly impacts fibril deposition and retention, affecting imaging outcomes.
Purpose of the Study:
- To compare five grid preparation methods for efficient detection and visualization of human islet amyloid polypeptide (hIAPP) fibrils.
- To assess methods based on detection speed, morphological representation, fibril abundance, and grid contamination.
- To evaluate the best methods for early aggregate detection and application to amyloid-beta 42 (Aβ42) fibrils.
Main Methods:
- Comparative analysis of five distinct grid preparation protocols for TEM imaging.
- Assessment of droplet-deposition (Method 2) and centrifugation-based loading (Method 3) protocols.
- Application of optimized methods to hIAPP and amyloid-beta 42 (Aβ42) protein samples.
Main Results:
- Methods 2 and 3 demonstrated the most efficient fibril detection and morphological representation.
- Method 2 provided the best compromise between rapid detection, simplicity, and low grid contamination.
- Optimized methods were effective for visualizing early hIAPP aggregates and Aβ42 fibrils.
Conclusions:
- Grid preparation protocols critically influence TEM observations of amyloid fibrils.
- Method 2 (droplet deposition) is recommended for its efficiency, simplicity, and minimal contamination.
- This study offers practical guidance for selecting optimal TEM grid preparation for amyloid fibril imaging.

