Evidence map›Paper›PMID 38971749›Full record

ArticleBMC neuroscience2024

Simulated complexes formed from a set of postsynaptic proteins suggest a localised effect of a hypomorphic Shank mutation.

Marcell Miski, Áron Weber, Krisztina Fekete-Molnár, Bence Márk Keömley-Horváth, Attila Csikász-Nagy, Zoltán Gáspári

Erratum issuedAbstract read
In one paragraph

Article in BMC neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Marcell MiskiFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Áron WeberFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Krisztina Fekete-MolnárFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Bence Márk Keömley-HorváthFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Attila Csikász-NagyFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary. csikasznagy@gmail.com.
Zoltán GáspáriFaculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary. gaspari.zoltan@itk.ppke.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe postsynaptic density is an elaborate protein network beneath the postsynaptic membrane involved in the molecular processes underlying learning and memory. The postsynaptic density is built up from the same major proteins but its exact composition and organization differs between synapses. Mutations perturbing protein: protein interactions generally occurring in this network might lead to effects specific for cell types or processes, the understanding of which can be especially challenging.

resultsIn this work we use systems biology-based modeling of protein complex distributions in a simplified set of major postsynaptic proteins to investigate the effect of a hypomorphic Shank mutation perturbing a single well-defined interaction. We use data sets with widely variable abundances of the constituent proteins. Our results suggest that the effect of the mutation is heavily dependent on the overall availability of all the protein components of the whole network and no trivial correspondence between the expression level of the directly affected proteins and overall complex distribution can be observed.

conclusionsOur results stress the importance of context-dependent interpretation of mutations. Even the weakening of a generally occurring protein: protein interaction might have well-defined effects, and these can not easily be predicted based only on the abundance of the proteins directly affected. Our results provide insight on how cell-specific effects can be exerted by a mutation perturbing a generally occurring interaction even when the wider interaction network is largely similar.

Indexed as

MutationNerve Tissue ProteinsAnimalsComputer SimulationHumansMembrane ProteinsPost-Synaptic DensitySystems BiologyMembrane ProteinsNerve Tissue Proteinspostsynaptic density proteinsBinding affinityGillespie algorithmMutationPostsynaptic densityProtein complexProtein interaction networkProtein:protein interactionSystems biology

Identifiers

PMID38971749
PMCPMC11227168

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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.