Evidence map›Paper›PMID 32638329›Full record

ReviewBiophysical reviews2020

Visualizing the in vitro assembly of tropomyosin/actin filaments using TIRF microscopy.

Miro Janco, Irina Dedova, Nicole S Bryce, Edna C Hardeman, Peter W Gunning

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biophysical reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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 1 institution in 1 country.

Miro JancoSchool of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Irina DedovaSchool of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Nicole S BryceSchool of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Edna C HardemanSchool of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Peter W GunningSchool of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia. p.gunning@unsw.edu.au.ORCID http://orcid.org/0000-0003-0833-3128
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropomyosins are elongated alpha-helical proteins that form co-polymers with most actin filaments within a cell and play important roles in the structural and functional diversification of the actin cytoskeleton. How the assembly of tropomyosins along an actin filament is regulated and the kinetics of tropomyosin association with an actin filament is yet to be fully determined. A recent series of publications have used total internal reflection fluorescence (TIRF) microscopy in combination with advanced surface and protein chemistry to visualise the molecular assembly of actin/tropomyosin filaments in vitro. Here, we review the use of the in vitro TIRF assay in the determination of kinetic data on tropomyosin filament assembly. This sophisticated approach has enabled generation of real-time single-molecule data to fill the gap between in vitro bulk assays and in vivo assays of tropomyosin function. The in vitro TIRF assays provide a new foundation for future studies involving multiple actin-binding proteins that will more accurately reflect the physiological protein-protein interactions in cells.

Indexed as

Actin-binding proteinsActin filamentsIntramolecular interactionsTIRF microscopyTropomyosin

Identifiers

PMID32638329
PMCPMC7429660
OpenAlexW3041146281

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.