Evidence map›Paper›PMID 29712973›Full record

ArticleScientific reports2018

Functional and structural characterization of osteocytic MLO-Y4 cell proteins encoded by genes differentially expressed in response to mechanical signals in vitro.

Fanchi Meng, Graeme F Murray, Lukasz Kurgan, Henry J Donahue

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 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 2 countries.

Fanchi MengDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
Graeme F MurrayBone Engineering, Science and Technology (BEST) Laboratory, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Lukasz KurganDepartment of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States of America. lkurgan@vcu.edu.
Henry J DonahueBone Engineering, Science and Technology (BEST) Laboratory, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, United States of America. hjdonahue@vcu.edu.
Virginia Commonwealth University · USUniversity of Alberta · CA

Funding

Gap Junction and Bone Cell Response to Physical SignalsR01AR068132 · NIAMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI DONAHUE, HENRY J · 2014 to 2019
$1.5M
NIAMS NIH HHS R01 AR068132
6 · The paper itself

Abstract

The anabolic response of bone to mechanical load is partially the result of osteocyte response to fluid flow-induced shear stress. Understanding signaling pathways activated in osteocytes exposed to fluid flow could identify novel signaling pathways involved in the response of bone to mechanical load. Bioinformatics allows for a unique perspective and provides key first steps in understanding these signaling pathways. We examined proteins encoded by genes differentially expressed in response to fluid flow in murine osteocytic MLO-Y4 cells. We considered structural and functional characteristics including putative intrinsic disorder, evolutionary conservation, interconnectedness in protein-protein interaction networks, and cellular localization. Our analysis suggests that proteins encoded by fluid flow activated genes have lower than expected conservation, are depleted in intrinsic disorder, maintain typical levels of connectivity for the murine proteome, and are found in the cytoplasm and extracellular space. Pathway analyses reveal that these proteins are associated with cellular response to stress, chemokine and cytokine activity, enzyme binding, and osteoclast differentiation. The lower than expected disorder of proteins encoded by flow activated genes suggests they are relatively specialized.

Indexed as

Stress, MechanicalAnimalsBone and BonesBone DevelopmentCell DifferentiationCell LineComputational BiologyCytoplasmGene Expression ProfilingGene Expression Regulation, DevelopmentalHydrodynamicsMiceOsteocytesProtein Interaction MapsProteomeShear StrengthProteome

Identifiers

PMID29712973
PMCPMC5928037
OpenAlexW2807449988

What OpenQuestion holds

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LicenceCC BY
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.