Evidence map›Paper›PMID 37851146›Full record

ReviewPflugers Archiv : European journal of physiology2023

Direct investigation of cell contraction signal networks by light-based perturbation methods.

Perihan Nalbant, Jessica Wagner, Leif Dehmelt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pflugers Archiv : European journal of physiology, 2023. 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
–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

1 citing paper in PubMed.

  1. Optogenetics meets physiology.Pflugers Archiv : European journal of physiology · 2023
    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

3 authors.

Perihan NalbantDepartment of Molecular Cell Biology, Center of Medical Biotechnology, University of Duisburg-Essen, Room T03 R01 D33, Universitätsstrasse 2, 45141, Essen, Germany. perihan.nalbant@uni-due.de.
Jessica WagnerDepartment of Molecular Cell Biology, Center of Medical Biotechnology, University of Duisburg-Essen, Room T03 R01 D33, Universitätsstrasse 2, 45141, Essen, Germany.
Leif DehmeltDepartment of Systemic Cell Biology, Fakultät für Chemie und Chemische Biologie, Max Planck Institute of Molecular Physiology, and Dortmund University of Technology, Room CP-02-157, Otto-Hahn-Str. 4a, 44227, Dortmund, Germany. leif.dehmelt@tu-dortmund.de.

Funding

Deutsche Forschungsgemeinschaft DE 823/10-1
6 · The paper itself

Abstract

Cell contraction plays an important role in many physiological and pathophysiological processes. This includes functions in skeletal, heart, and smooth muscle cells, which lead to highly coordinated contractions of multicellular assemblies, and functions in non-muscle cells, which are often highly localized in subcellular regions and transient in time. While the regulatory processes that control cell contraction in muscle cells are well understood, much less is known about cell contraction in non-muscle cells. In this review, we focus on the mechanisms that control cell contraction in space and time in non-muscle cells, and how they can be investigated by light-based methods. The review particularly focusses on signal networks and cytoskeletal components that together control subcellular contraction patterns to perform functions on the level of cells and tissues, such as directional migration and multicellular rearrangements during development. Key features of light-based methods that enable highly local and fast perturbations are highlighted, and how experimental strategies can capitalize on these features to uncover causal relationships in the complex signal networks that control cell contraction.

Indexed as

Muscle ContractionMuscle, SmoothMyocytes, Smooth MusclePhosphorylationMyosinOptogeneticsRho GTPasesSignal networks

Identifiers

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.