Evidence map›Paper›PMID 34285774›Full record

ArticleComputational and structural biotechnology journal2021

A hybrid stochastic/deterministic model of single photon response and light adaptation in mouse rods.

Charlotte Johanna Beelen, Sabrina Asteriti, Lorenzo Cangiano, Karl-Wilhelm Koch, Daniele Dell'Orco

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. 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
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 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 3 institutions in 2 countries.

Charlotte Johanna BeelenDepartment of Neuroscience, Division of Biochemistry, University of Oldenburg, 26111 Oldenburg, Germany.
Sabrina AsteritiDepartment of Translational Research, University of Pisa, Pisa 56123, Italy.
Lorenzo CangianoDepartment of Translational Research, University of Pisa, Pisa 56123, Italy.
Karl-Wilhelm KochDepartment of Neuroscience, Division of Biochemistry, University of Oldenburg, 26111 Oldenburg, Germany.
Daniele Dell'OrcoDepartment of Neurosciences, Biomedicine and Movement Sciences, Section of Biological Chemistry, University of Verona, 37134 Verona, Italy.
Carl von Ossietzky Universität Oldenburg · DEUniversity of Pisa · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phototransduction cascade is paradigmatic for signaling pathways initiated by G protein-coupled receptors and is characterized by a fine regulation of photoreceptor sensitivity and electrical response to a broad range of light stimuli. Here, we present a biochemically comprehensive model of phototransduction in mouse rods based on a hybrid stochastic and deterministic mathematical framework, and a quantitatively accurate description of the rod impedance in the dark. The latter, combined with novel patch clamp recordings from rod outer segments, enables the interconversion of dim flash responses between photovoltage and photocurrent and thus direct comparison with the simulations. The model reproduces the salient features of the experimental photoresponses at very dim and bright stimuli, for both normal photoreceptors and those with genetically modified cascade components. Our modelling approach recapitulates a number of recent findings in vertebrate phototransduction. First, our results are in line with the recently established requirement of dimeric activation of PDE6 by transducin and further show that such conditions can be fulfilled at the expense of a significant excess of G protein activated by rhodopsin. Secondly, simulations suggest a crucial role of the recoverin-mediated Ca

Indexed as

ADP, adenosine diphosphateArr, arrestinATP, adenosine-5′-triphosphateBG, background illuminationcGMP, cyclic guanosine monophosphateCNG, cyclic nucleotide-gated (channel)CSM, completely substituted mutant of rhodopsinCV, coefficient of variationDM, deterministic modelDynamic modelingE, effector of the phototransduction cascade, activated PDEFFT, fast Fourier-transformGCAPs, guanylate cyclase-activating proteinsGC, guanylate cyclaseGDP, guanosine-5′-diphosphateGPCR, G protein-coupled receptorGt, G protein/transducinGTP, guanosine-5′-triphosphateGα, α-subunit of the G proteinGβγ, β- and γ-subunit of the G proteinHSDM, hybrid stochastic/deterministic modelLight adaptationMPR, multiple photon responsePDE, phosphodiesterase 6PhototransductionPh, photonsRec, recoverinRGS, regulator of G protein signalingRK, rhodopsin kinaseRn, activated rhodopsin that has been phosphorylated n timesROS, rod outer segmentR, rhodopsinSD, standard deviationSPR, single photon responseStochastic simulationSystems biologyTTP, time to peakΔJ, photocurrentΔU, photovoltage

Identifiers

PMID34285774
PMCPMC8258797
OpenAlexW3173255533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.