Evidence map›Paper›PMID 28039513›Full record

ArticleEuropean biophysics journal : EBJ2017

Actomyosin interaction at low ATP concentrations.

Manuela Maffei, Emanuela Longa, Antonio Sabatini, Alberto Vacca, Stefano Iotti

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In one paragraph

Article in European biophysics journal : EBJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 at 4 institutions in 1 country.

Manuela MaffeiDepartment of Molecular Medicine, University of Pavia, Via Forlanini 6, 27100, Pavia, Italy.
Emanuela LongaFondazione Salvatore Maugeri (IRCCS), Scientific Institute of Pavia, Pavia, Italy.
Antonio SabatiniDepartment of Chemistry, University of Firenze, Sesto Fiorentino, Italy.
Alberto VaccaDepartment of Chemistry, University of Firenze, Sesto Fiorentino, Italy.
Stefano IottiDepartment of Pharmacy and Biotechnology, University of Bologna, Via San Donatoi 15, 40127, Bologna, Italy. stefano.iotti@unibo.it.ORCID http://orcid.org/0000-0003-1426-6400
University of Florence · ITFondazione Salvatore Maugeri · ITIstituto Nazionale Biostrutture e Biosistemi · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro motility assay (IVMA) experiments were performed to analyze the movement of actin filaments sliding on a pavement of myosin molecules at different [ATP] and [ADP]. In standard experimental conditions at [ATP] = 2 mM, about 80% of the actin filaments move in unloaded conditions with a constant velocity. However, a fraction of at least 20% static actin filaments is always present. The accepted explanation is the occurrence of damaged "rigor"-like myosin heads that do not undergo the normal ATP-dependent cycling motion. However, in a series of IVMA experiments performed at different [ATP] we observed that the mobility of actin filaments increased with lowering [ATP]. We investigated the influence of [ATP] on the number of mobile actin filaments. IVMA experiments were performed at controlled nucleotide concentrations and the percentage of mobile filaments accurately determined by specific operator-guided software. The value of ΔG

Indexed as

Actin CytoskeletonActomyosinAdenosine TriphosphateAnimalsHydrolysisMotionMyosin SubfragmentsProtein BindingRatsRats, WistarThermodynamicsActomyosinAdenosine TriphosphateMyosin SubfragmentsActomyosin interactionATP concentrationATP hydrolysisGibbs free energyIn vitro motility assay

Identifiers

PMID28039513
OpenAlexW2561439358

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.