Evidence map›Paper›PMID 24639380›Full record

ArticleMuscle & nerve2014

Improved immunoblotting methods provide critical insights into phenotypic differences between two murine dysferlinopathy models.

Amber L Mueller, Patrick F Desmond, Ru-Ching Hsia, Joseph A Roche

Open access · greenAbstract read
In one paragraph

Article in Muscle & nerve, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 6 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

4 authors at 2 institutions in 1 country.

Amber L MuellerUniversity of Maryland School of Medicine, Department of Physiology, Baltimore, Maryland, 21201, USA.
Patrick F Desmond
Ru-Ching Hsia
Joseph A Roche
University of Maryland, Baltimore · USWayne State University · US

Funding

TRAINING PROGRAM IN INTEGRATIVE MEMBRANE BIOLOGYT32GM008181 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI RIZZO, MEGAN A, TRUDEAU, MATTHEW C · 1987 to 2022
$4.9M
NIGMS NIH HHS T32 GM008181
6 · The paper itself

Abstract

introductionWe adopted a proteomics-based approach to gain insights into phenotypic differences between A/J and B10.SJL murine dysferlinopathy models.

methodsWe optimized immunoblotting of dysferlin by preparing homogenates of the tibialis anterior (TA) muscle under several different conditions. We compared TA muscles of control, A/J, and B10.SJL mice for levels of dysferlin; dysferlin's partners MG53, annexin-A2, and caveolin-3; and the endoplasmic reticulum (ER) stress marker CHOP. We performed immunoelectron microscopy on control rat TA muscle to determine the precise location of dysferlin.

resultsRIPA (radioimmunoprecipitation assay) buffer and sonication improves immunoblotting of dysferlin. The ER stress marker CHOP is elevated in A/J muscle. Dysferlin is localized mostly to membranes close to the Z-disk that have been reported to be part of the Golgi, ER, and sarcoplasmic reticulum (SR) networks.

conclusionsER stress might underlie phenotypic differences between A/J and B10.SJL mice and play a role in human dysferlinopathies.

Indexed as

ImmunoblottingPhenotypeAnimalsAnnexin A2Carrier ProteinsCaveolin 3Disease Models, AnimalEndoplasmic Reticulum StressMembrane ProteinsMiceMuscle, SkeletalMuscular Dystrophies, Limb-GirdleRadioimmunoprecipitation AssaySpecies SpecificityTranscription Factor CHOPAnnexin A2Carrier ProteinsCaveolin 3Ddit3 protein, mouseMembrane ProteinsMG53 protein, mouseTranscription Factor CHOPdysferlindysferlin binding proteinsER stressimmunoblottingskeletal muscle

Identifiers

PMID24639380
PMCPMC4107149
OpenAlexW2079178108

What OpenQuestion holds

Textmetadata
LicenceTDM
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.