Evidence map›Paper›PMID 22325292›Full record

ArticleBiophysical journal2012

Unequivocal single-molecule force spectroscopy of proteins by AFM using pFS vectors.

Javier Oroz, Rubén Hervás, Mariano Carrión-Vázquez

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Nanomechanics of tip-link cadherins.Scientific reports · 2019
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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

3 authors at 2 institutions in 1 country.

Javier OrozInstituto Cajal/CSIC, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, IMDEA Nanociencia, Madrid, Spain.
Rubén Hervás
Mariano Carrión-Vázquez
Centro de Investigación Biomédica en Red · ESMadrid Institute for Advanced Studies · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomechanical analysis of proteins by single-molecule force spectroscopy based on atomic force microscopy is increasingly being used to investigate the inner workings of mechanical proteins and substrate proteins of unfoldase machines as well as to gain new insight into the process of protein folding. However, such studies are hindered by a number of technical problems, including the noise of the proximal region, ambiguous single-molecule identification, as well as difficulties in protein expression/folding and full-length purification. To overcome these major drawbacks in protein nanomechanics, we designed a family of cloning/expression vectors, termed pFS (plasmid for force spectroscopy), that essentially has an unstructured region to surmount the noisy proximal region, a homomeric polyprotein marker, a carrier to mechanically protect the protein of interest (only the pFS-2 version) that also acts as a reporter, and two purification tags. pFS-2 enables the unambiguous analysis of proteins with low mechanical stability or/and complex force spectra, such as the increasingly abundant class of intrinsically disordered proteins, which are hard to characterize by traditional bulk techniques and have important biological and clinical implications. The advantages, applications, and potential of this ready-to-go system are illustrated through the analysis of representative proteins.

Indexed as

AnimalsGenetic VectorsHumansMiceMicroscopy, Atomic ForceModels, MolecularNanotechnologyPlasmidsProtein ConformationRecombinant ProteinsRecombinant Proteins

Identifiers

PMID22325292
PMCPMC3274811
OpenAlexW2018738023

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.