Evidence map›Paper›PMID 17875930›Full record

ArticleMolecular and cellular biology2007

Regulation of skeletal muscle sarcomere integrity and postnatal muscle function by Mef2c.

Matthew J Potthoff, Michael A Arnold, John McAnally, James A Richardson, Rhonda Bassel-Duby, Eric N Olson

Abstract read
In one paragraph

Article in Molecular and cellular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
2.9field-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

135 citing papers in PubMed, 216 citations in OpenAlex.

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75 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Matthew J PotthoffDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390-9148, USA.
Michael A Arnold
John McAnally
James A Richardson
Rhonda Bassel-Duby
Eric N Olson
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocyte enhancer factor 2 (MEF2) transcription factors cooperate with the MyoD family of basic helix-loop-helix (bHLH) transcription factors to drive skeletal muscle development during embryogenesis, but little is known about the potential functions of MEF2 factors in postnatal skeletal muscle. Here we show that skeletal muscle-specific deletion of Mef2c in mice results in disorganized myofibers and perinatal lethality. In contrast, neither Mef2a nor Mef2d is required for normal skeletal muscle development in vivo. Skeletal muscle deficient in Mef2c differentiates and forms normal myofibers during embryogenesis, but myofibers rapidly deteriorate after birth due to disorganized sarcomeres and a loss of integrity of the M line. Microarray analysis of Mef2c null muscles identified several muscle structural genes that depend on MEF2C, including those encoding the M-line-specific proteins myomesin and M protein. We show that MEF2C directly regulates myomesin gene transcription and that loss of Mef2c in skeletal muscle results in improper sarcomere organization. These results reveal a key role for Mef2c in maintenance of sarcomere integrity and postnatal maturation of skeletal muscle.

Indexed as

AnimalsAnimals, NewbornBase SequenceChlorocebus aethiopsConnectinCOS CellsEmbryo, MammalianGene DeletionGene Expression RegulationMEF2 Transcription FactorsMiceMice, Mutant StrainsMolecular Sequence DataMuscle Fibers, SkeletalMuscle ProteinsMuscle, SkeletalConnectinMef2c protein, mouseMEF2 Transcription FactorsMuscle ProteinsMyogenic Regulatory Factors

Identifiers

PMID17875930
PMCPMC2169182
OpenAlexW2129248963

What OpenQuestion holds

Textmetadata
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.