Evidence map›Paper›PMID 23414517›Full record

ArticleSkeletal muscle2013

A human skeletal muscle interactome centered on proteins involved in muscular dystrophies: LGMD interactome.

Gaëlle Blandin, Sylvie Marchand, Karine Charton, Nathalie Danièle, Evelyne Gicquel, Jean-Baptiste Boucheteil, Azéddine Bentaib, Laetitia Barrault, Daniel Stockholm, Marc Bartoli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Skeletal muscle, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  5. FromCells · 2022
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  11. Identification ofDisease models & mechanisms · 2020
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  19. Vitamin D receptor and RXR in the post-genomic era.Journal of cellular physiology · 2015
    Review
  20. 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

11 authors at 4 institutions in 1 country.

Gaëlle BlandinGénéthon CNRS UMR8587, 1, rue de l'Internationale, Evry 91000, France. richard@genethon.fr.
Sylvie Marchand
Karine Charton
Nathalie Danièle
Evelyne Gicquel
Jean-Baptiste Boucheteil
Azéddine Bentaib
Laetitia Barrault
Daniel Stockholm
Marc Bartoli
Isabelle Richard
Centre National de la Recherche Scientifique · FRUniversité d'Évry Val-d'Essonne · FRAix-Marseille Université · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe complexity of the skeletal muscle and the identification of numerous human disease-causing mutations in its constitutive proteins make it an interesting tissue for proteomic studies aimed at understanding functional relationships of interacting proteins in both health and diseases.

methodWe undertook a large-scale study using two-hybrid screens and a human skeletal-muscle cDNA library to establish a proteome-scale map of protein-protein interactions centered on proteins involved in limb-girdle muscular dystrophies (LGMD). LGMD is a group of more than 20 different neuromuscular disorders that principally affect the proximal pelvic and shoulder girdle muscles. RESULTS AND

conclusionThe interaction network we unraveled incorporates 1018 proteins connected by 1492 direct binary interactions and includes 1420 novel protein-protein interactions. Computational, experimental and literature-based analyses were performed to assess the overall quality of this network. Interestingly, LGMD proteins were shown to be highly interconnected, in particular indirectly through sarcomeric proteins. In-depth mining of the LGMD-centered interactome identified new candidate genes for orphan LGMDs and other neuromuscular disorders. The data also suggest the existence of functional links between LGMD2B/dysferlin and gene regulation, between LGMD2C/γ-sarcoglycan and energy control and between LGMD2G/telethonin and maintenance of genome integrity. This dataset represents a valuable resource for future functional investigations.

Identifiers

PMID23414517
PMCPMC3610214
OpenAlexW2139976126

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.