Evidence map›Paper›PMID 27304995›Full record

ArticlePloS one2016

In Vitro Assembly Kinetics of Cytoplasmic Intermediate Filaments: A Correlative Monte Carlo Simulation Study.

Norbert Mücke, Stefan Winheim, Holger Merlitz, Jan Buchholz, Jörg Langowski, Harald Herrmann

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Norbert MückeDivision Biophysics of Macromolecules, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Stefan WinheimDivision Biophysics of Macromolecules, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Holger MerlitzDepartment of Physics and ITPA, Xiamen University, Xiamen, China.
Jan BuchholzDivision Biophysics of Macromolecules, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jörg LangowskiDivision Biophysics of Macromolecules, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Harald HerrmannInstitute of Neuropathology, University Hospital Erlangen, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intermediate filament (IF) elongation proceeds via full-width "mini-filaments", referred to as "unit-length" filaments (ULFs), which instantaneously form by lateral association of extended coiled-coil complexes after assembly is initiated. In a comparatively much slower process, ULFs longitudinally interact end-to-end with other ULFs to form short filaments, which further anneal with ULFs and with each other to increasingly longer filaments. This assembly concept was derived from time-lapse electron and atomic force microscopy data. We previously have quantitatively verified this concept through the generation of time-dependent filament length-profiles and an analytical model that describes assembly kinetics well for about the first ten minutes. In this time frame, filaments are shorter than one persistence length, i.e. ~1 μm, and thus filaments were treated as stiff rods associating via their ends. However, when filaments grow several μm in length over hours, their flexibility becomes a significant factor for the kinetics of the longitudinal annealing process. Incorporating now additional filament length distributions that we have recorded after extended assembly times by total internal reflection fluorescence microscopy (TIRFM), we developed a Monte Carlo simulation procedure that accurately describes the underlying assembly kinetics for large time scales.

Indexed as

AlgorithmsCytoplasmCytoskeletonDesminHumansIntermediate FilamentsKeratin-18Keratin-8KineticsMicroscopy, Atomic ForceMicroscopy, ElectronMicroscopy, FluorescenceMonte Carlo MethodTime FactorsTime-Lapse ImagingVimentinDesminKeratin-18Keratin-8Vimentin

Identifiers

PMID27304995
PMCPMC4909217

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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.