Evidence map›Paper›PMID 24824861›Full record

ArticlePloS one2014

Development of rabbit monoclonal antibodies for detection of alpha-dystroglycan in normal and dystrophic tissue.

Marisa J Fortunato, Charlotte E Ball, Katrin Hollinger, Niraj B Patel, Jill N Modi, Vedika Rajasekaran, Dan J Nonneman, Jason W Ross, Eileen J Kennedy, Joshua T Selsby and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 16 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

11 authors at 3 institutions in 1 country.

Marisa J FortunatoDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, Georgia, United States of America.
Charlotte E BallCenter for Undergraduate Research, University of Georgia, Athens, Georgia, United States of America.
Katrin HollingerDepartment of Animal Science, Iowa State University, Ames, Iowa, United States of America.
Niraj B PatelCenter for Undergraduate Research, University of Georgia, Athens, Georgia, United States of America.
Jill N ModiCenter for Undergraduate Research, University of Georgia, Athens, Georgia, United States of America.
Vedika RajasekaranCenter for Undergraduate Research, University of Georgia, Athens, Georgia, United States of America.
Dan J NonnemanUnited States Department of Agriculture Agricultural Research Service, United States Meat Animal Research Center, Clay Center, Nebraska, United States of America.
Jason W RossDepartment of Animal Science, Iowa State University, Ames, Iowa, United States of America.
Eileen J KennedyDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, Georgia, United States of America.
Joshua T SelsbyDepartment of Animal Science, Iowa State University, Ames, Iowa, United States of America.
Aaron M BeedleDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, Georgia, United States of America.
University of Georgia · USIowa State University · USUnited States Department of Agriculture · US

Funding

Probing the role of AKAPs in breast cancer using stapled peptide inhibitorsK22CA154600 · NCI · UNIVERSITY OF GEORGIA · PI KENNEDY, EILEEN J · 2011 to 2013
$571k
Development of a novel porcine model of Duchenne muscular dystrophy.R21RR030232 · NCRR · IOWA STATE UNIVERSITY · PI ROSS, JASON W · 2010 to 2011
$405k
Characterization of a novel translational model for Becker muscular dystrophyR21NS079603 · NINDS · IOWA STATE UNIVERSITY · PI SELSBY, JOSHUA T · 2013 to 2014
$401k
NCI NIH HHS K22 CA154600NCRR NIH HHS R21 RR030232NCRR NIH HHS R21RR030232NINDS NIH HHS R21 NS079603NINDS NIH HHS R21NS079603
6 · The paper itself

Abstract

Alpha-dystroglycan requires a rare O-mannose glycan modification to form its binding epitope for extracellular matrix proteins such as laminin. This functional glycan is disrupted in a cohort of muscular dystrophies, the secondary dystroglycanopathies, and is abnormal in some metastatic cancers. The most commonly used reagent for detection of alpha-dystroglycan is mouse monoclonal antibody IIH6, but it requires the functional O-mannose structure for recognition. Therefore, the ability to detect alpha-dystroglycan protein in disease states where it lacks the full O-mannose glycan has been limited. To overcome this hurdle, rabbit monoclonal antibodies against the alpha-dystroglycan C-terminus were generated. The new antibodies, named 5-2, 29-5, and 45-3, detect alpha-dystroglycan from mouse, rat and pig skeletal muscle by Western blot and immunofluorescence. In a mouse model of fukutin-deficient dystroglycanopathy, all antibodies detected low molecular weight alpha-dystroglycan in disease samples demonstrating a loss of functional glycosylation. Alternately, in a porcine model of Becker muscular dystrophy, relative abundance of alpha-dystroglycan was decreased, consistent with a reduction in expression of the dystrophin-glycoprotein complex in affected muscle. Therefore, these new rabbit monoclonal antibodies are suitable reagents for alpha-dystroglycan core protein detection and will enhance dystroglycan-related studies.

Indexed as

AnimalsAntibodies, MonoclonalBlotting, WesternCloning, MolecularDNA PrimersDystroglycansElectrophoresis, Polyacrylamide GelFluorescent Antibody TechniqueGlycosylationHybridomasImage Processing, Computer-AssistedMiceMuscle, SkeletalMuscular Dystrophy, DuchenneRabbitsRatsAntibodies, MonoclonalDAG1 protein, humanDNA PrimersDystroglycans

Identifiers

PMID24824861
PMCPMC4019581
OpenAlexW1993377729

What OpenQuestion holds

Textmetadata
LicenceCC0
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.