Evidence map›Paper›PMID 17127292›Full record

ReviewFrontiers in bioscience : a journal and virtual library2007

Mechanotransduction in skeletal muscle.

Thomas J Burkholder

Abstract readReview
In one paragraph

Review in Frontiers in bioscience : a journal and virtual library, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Mechanisms Underlying the Rarity of Skeletal Muscle Cancers.International journal of molecular sciences · 2024
    Review

5 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

1 author.

Thomas J BurkholderSchool of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. thomas.burkholder@hps.gatech.edu

Funding

Calcineurin in Prostaglandin Mediated Muscle GrowthR01AR048884 · NIAMS · EMORY UNIVERSITY · PI PAVLATH, GRACE K · 2002 to 2005
$1.1M
Mechanical disruption of caveolin signaling complexesR55AR048664 · NIAMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BURKHOLDER, THOMAS J · 2002 to 2002
$100k
NIAMS NIH HHS AR 48664NIAMS NIH HHS AR48884NIAMS NIH HHS R01 AR048884NIAMS NIH HHS R55 AR048664
6 · The paper itself

Abstract

Mechanical signals are critical to the development and maintenance of skeletal muscle, but the mechanisms that convert these shape changes to biochemical signals is not known. When a deformation is imposed on a muscle, changes in cellular and molecular conformations link the mechanical forces with biochemical signals, and the close integration of mechanical signals with electrical, metabolic, and hormonal signaling may disguise the aspect of the response that is specific to the mechanical forces. The mechanically induced conformational change may directly activate downstream signaling and may trigger messenger systems to activate signaling indirectly. Major effectors of mechanotransduction include the ubiquitous mitogen activated protein kinase (MAP) and phosphatidylinositol-3' kinase (PI-3K), which have well described receptor dependent cascades, but the chain of events leading from mechanical stimulation to biochemical cascade is not clear. This review will discuss the mechanics of biological deformation, loading of cellular and molecular structures, and some of the principal signaling mechanisms associated with mechanotransduction.

Indexed as

Mechanotransduction, CellularAnimalsCalcium SignalingMAP Kinase Signaling SystemMuscle, SkeletalPhosphatidylinositol 3-KinasesPhospholipasesPhosphatidylinositol 3-KinasesPhospholipases

Identifiers

PMID17127292
PMCPMC2043154

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.