Evidence map›Paper›PMID 26697388›Full record

ArticleGenomics data2015

Genome-wide expression analysis comparing hypertrophic changes in normal and dysferlinopathy mice.

Yun-Sil Lee, C Conover Talbot, Se-Jin Lee

Abstract read
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yun-Sil LeeDepartment of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, 725 North Wolfe Street, PCTB 803, Baltimore, MD 21205, USA.
C Conover TalbotInstitute for Basic Biomedical Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Se-Jin LeeDepartment of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, 725 North Wolfe Street, PCTB 803, Baltimore, MD 21205, USA.

Funding

Characterization of Myostatin and GDF-11R01AR060636 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LEE, SE-JIN · 2010 to 2020
$3.7M
NIAMS NIH HHS R01 AR060636
6 · The paper itself

Abstract

Because myostatin normally limits skeletal muscle growth, there are extensive efforts to develop myostatin inhibitors for clinical use. One potential concern is that in muscle degenerative diseases, inducing hypertrophy may increase stress on dystrophic fibers. Our study shows that blocking this pathway in dysferlin deficient mice results in early improvement in histopathology but ultimately accelerates muscle degeneration. Hence, benefits of this approach should be weighed against these potential detrimental effects. Here, we present detailed experimental methods and analysis for the gene expression profiling described in our recently published study in Human Molecular Genetics (Lee et al., 2015). Our data sets have been deposited in the Gene Expression Omnibus (GEO) database (GSE62945) and are available at http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62945. Our data provide a resource for exploring molecular mechanisms that are related to hypertrophy-induced, accelerated muscular degeneration in dysferlinopathy.

Indexed as

ACVR2B/FcDysferlinopathyFollistatinMyostatinSkeletal muscle

Identifiers

PMID26697388
PMCPMC4664771

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Registered trials

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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.