Evidence map›Paper›PMID 36587102›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Visualizing Neurons Under Tension In Vivo with Optogenetic Molecular Force Sensors.

Neus Sanfeliu-Cerdán, Li-Chun Lin, Alexander R Dunn, Miriam B Goodman, Michael Krieg

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
14.3field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Neus Sanfeliu-CerdánNeurophotonics and Mechanical Systems Biology, ICFO, Institut de Ciències Fotòniques, ICFO, Castelldefels, Spain.
Li-Chun LinNeurophotonics and Mechanical Systems Biology, ICFO, Institut de Ciències Fotòniques, ICFO, Castelldefels, Spain.
Alexander R DunnDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Miriam B GoodmanMolecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
Michael KriegNeurophotonics and Mechanical Systems Biology, ICFO, Institut de Ciències Fotòniques, ICFO, Castelldefels, Spain. michael.krieg@icfo.eu.
Institute of Photonic Sciences · ESStanford University · US

Funding

Molecular mechanisms underlying force transduction at cellular adhesion complexesR35GM130332 · NIGMS · STANFORD UNIVERSITY · PI Alexander R Dunn · 2019 to 2026
$4.9M
NIGMS NIH HHS R35 GM130332
6 · The paper itself

Abstract

The visualization of mechanical stress distribution in specific molecular networks within a living and physiologically active cell or animal remains a formidable challenge in mechanobiology. The advent of fluorescence-resonance energy transfer (FRET)-based molecular tension sensors overcame a significant hurdle that now enables us to address previously technically limited questions. Here, we describe a method that uses genetically encoded FRET tension sensors to visualize the mechanics of cytoskeletal networks in neurons of living animals with sensitized emission FRET and confocal scanning light microscopy. This method uses noninvasive immobilization of living animals to image neuronal β-spectrin cytoskeleton at the diffraction limit, and leverages multiple imaging controls to verify and underline the quality of the measurements. In combination with a semiautomated machine-vision algorithm to identify and trace individual neurites, our analysis performs simultaneous calculation of FRET efficiencies and visualizes statistical uncertainty on a pixel by pixel basis. Our approach is not limited to genetically encoded spectrin tension sensors, but can also be used for any kind of ratiometric imaging in neuronal cells both in vivo and in vitro.

Indexed as

Fluorescence Resonance Energy TransferOptogeneticsAnimalsCytoskeletonNeuronsVision, OcularC. elegansCytoskeletonFRETMechanobiologyMechanosensingMolecular tension sensorsNeuroscienceOptogeneticsTSMod

Identifiers

PMID36587102
PMCPMC11874908
OpenAlexW4313446013

What OpenQuestion holds

Textmetadata
LicenceTDM
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.