Evidence map›Paper›PMID 41384096›Full record

ArticleBio-protocol2025

An Optimized Protocol for High-Quality AFM Imaging of Amyloid Fibrils.

Rohith R Kumar, Uttam Das, Patil Pranita Uttamrao, Thenmalarchelvi Rathinavelan

Abstract read
In one paragraph

Article in Bio-protocol, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rohith R KumarDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
Uttam DasDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
Patil Pranita UttamraoDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
Thenmalarchelvi RathinavelanDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the morphology of amyloid proteins is an integral part of studying neurodegenerative diseases. Such morphological characterization can be performed using atomic force microscopy (AFM), which provides high-resolution images of the amyloid protein fibrils. AFM is widely employed for visualizing mechanical and physical properties of amyloid fibrils, not only from a biological and medical perspective but also in relation to their nanotechnological applications. A crucial step in AFM imaging is coating the protein of interest onto a substrate such as mica. However, existing protocols for this process vary considerably. The conventional sample preparation method often introduces artifacts, particularly due to deposition of excess salt. Hence, an optimized protocol is essential to minimize salt aggregation on the mica surface. Here, we present an optimized protocol for coating amyloid proteins onto mica using the dip-washing method to eliminate background noise. This approach improves the adherence of protein to the mica surface while effectively removing residual salts. Key features • The protocol introduces a new method to coat protein samples onto mica sheets for AFM imaging. • It presents a dip-washing technique aimed at removing excess salt deposited on the mica sheet, thereby minimizing imaging artifacts. • This protocol can be used for analyzing amyloid fibrillation mechanisms as well as capturing time-dependent fibrillation dynamics under various physiological conditions. • It also provides clear stepwise washing instructions that balance the salt removal and retention of protein fibrils on the mica.

Indexed as

Amyloid fibrilAtomic force microscopyAβ42Dip-washing methodSalt removalStm1

Identifiers

PMID41384096
PMCPMC12689255

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.