Evidence map›Paper›PMID 24743419›Full record

ArticleNature protocols2014

Multiparametric high-resolution imaging of native proteins by force-distance curve-based AFM.

Moritz Pfreundschuh, David Martinez-Martin, Estefania Mulvihill, Susanne Wegmann, Daniel J Muller

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Article in Nature protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Article
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  4. Control of a Gel-Forming Chemical Reaction Network Using Light-Triggered Proton Pumps.Langmuir : the ACS journal of surfaces and colloids · 2025
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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

5 authors.

Moritz PfreundschuhDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
David Martinez-MartinDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Estefania MulvihillDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Susanne WegmannDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.
Daniel J MullerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID 0000000330750665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A current challenge in the life sciences is to understand how the properties of individual molecular machines adjust in order to meet the functional requirements of the cell. Recent developments in force-distance (FD) curve-based atomic force microscopy (FD-based AFM) enable researchers to combine sub-nanometer imaging with quantitative mapping of physical, chemical and biological properties. Here we present a protocol to apply FD-based AFM to the multiparametric imaging of native proteins under physiological conditions. We describe procedures for experimental FD-based AFM setup, high-resolution imaging of proteins in the native unperturbed state with simultaneous quantitative mapping of multiple parameters, and data interpretation and analysis. The protocol, which can be completed in 1-3 d, enables researchers to image proteins and protein complexes in the native unperturbed state and to simultaneously map their biophysical and biochemical properties at sub-nanometer resolution.

Indexed as

Microscopy, Atomic ForceMolecular ImagingProteinsSpectrum AnalysisProteins

Identifiers

PMID24743419

What OpenQuestion holds

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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 OpenQuestion graph.