Evidence map›Paper›PMID 38551921›Full record

ArticlePloS one2024

Biophysical modeling of the whole-cell dynamics of C. elegans motor and interneurons families.

Martina Nicoletti, Letizia Chiodo, Alessandro Loppini, Qiang Liu, Viola Folli, Giancarlo Ruocco, Simonetta Filippi

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Martina NicolettiDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID 0000-0003-0154-0482
Letizia ChiodoDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID 0000-0002-8278-7075
Alessandro LoppiniDepartment of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Qiang LiuDepartment of Neuroscience, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9232-1420
Viola FolliCenter for Life Nano- & Neuro-Science (CLN2S@Sapienza), Istituto Italiano di Tecnologia, Rome, Italy.
Giancarlo RuoccoCenter for Life Nano- & Neuro-Science (CLN2S@Sapienza), Istituto Italiano di Tecnologia, Rome, Italy.
Simonetta FilippiDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nematode Caenorhabditis elegans is a widely used model organism for neuroscience. Although its nervous system has been fully reconstructed, the physiological bases of single-neuron functioning are still poorly explored. Recently, many efforts have been dedicated to measuring signals from C. elegans neurons, revealing a rich repertoire of dynamics, including bistable responses, graded responses, and action potentials. Still, biophysical models able to reproduce such a broad range of electrical responses lack. Realistic electrophysiological descriptions started to be developed only recently, merging gene expression data with electrophysiological recordings, but with a large variety of cells yet to be modeled. In this work, we contribute to filling this gap by providing biophysically accurate models of six classes of C. elegans neurons, the AIY, RIM, and AVA interneurons, and the VA, VB, and VD motor neurons. We test our models by comparing computational and experimental time series and simulate knockout neurons, to identify the biophysical mechanisms at the basis of inter and motor neuron functioning. Our models represent a step forward toward the modeling of C. elegans neuronal networks and virtual experiments on the nematode nervous system.

Indexed as

Caenorhabditis elegansCaenorhabditis elegans ProteinsAnimalsHumansInterneuronsMotor NeuronsNervous SystemCaenorhabditis elegans Proteins

Identifiers

PMID38551921
PMCPMC10980225

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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.