Evidence map›Paper›PMID 33976238›Full record

ArticleScientific reports2021

A unified resource and configurable model of the synapse proteome and its role in disease.

Oksana Sorokina, Colin Mclean, Mike D R Croning, Katharina F Heil, Emilia Wysocka, Xin He, David Sterratt, Seth G N Grant, T Ian Simpson, J Douglas Armstrong

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. 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 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Proceedings of the 12Tremor and other hyperkinetic movements (New York, N.Y.) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Oksana SorokinaThe School of Informatics, University of Edinburgh, Edinburgh, UK. Oksana.Sorokina@ed.ac.uk.
Colin McleanThe School of Informatics, University of Edinburgh, Edinburgh, UK. Colin.D.Mclean@ed.ac.uk.
Mike D R CroningCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Katharina F HeilThe School of Informatics, University of Edinburgh, Edinburgh, UK.
Emilia WysockaThe School of Informatics, University of Edinburgh, Edinburgh, UK.
Xin HeThe School of Informatics, University of Edinburgh, Edinburgh, UK.
David SterrattThe School of Informatics, University of Edinburgh, Edinburgh, UK.
Seth G N GrantCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
T Ian SimpsonThe School of Informatics, University of Edinburgh, Edinburgh, UK.
J Douglas ArmstrongThe School of Informatics, University of Edinburgh, Edinburgh, UK.

Funding

UK Medical Research Council G0802238Wellcome TrustWellcome Trust Technology Development Grant 202932
6 · The paper itself

Abstract

Genes encoding synaptic proteins are highly associated with neuronal disorders many of which show clinical co-morbidity. We integrated 58 published synaptic proteomic datasets that describe over 8000 proteins and combined them with direct protein-protein interactions and functional metadata to build a network resource that reveals the shared and unique protein components that underpin multiple disorders. All the data are provided in a flexible and accessible format to encourage custom use.

Indexed as

Databases, GeneticHumansNeuronsProtein Interaction MappingProteomeProteomicsSynapsesProteome

Identifiers

PMID33976238
PMCPMC8113277

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.