Evidence map›Paper›PMID 26891613›Full record

ArticleTissue engineering. Part A2016

Cell Density and Joint microRNA-133a and microRNA-696 Inhibition Enhance Differentiation and Contractile Function of Engineered Human Skeletal Muscle Tissues.

Cindy S Cheng, Lydia Ran, Nenad Bursac, William E Kraus, George A Truskey

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part A, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-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

18 citing papers in PubMed, 34 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

5 authors at 1 institution in 1 country.

Cindy S Cheng1 Department of Biomedical Engineering, Duke University , Durham, North Carolina.
Lydia Ran1 Department of Biomedical Engineering, Duke University , Durham, North Carolina.
Nenad Bursac1 Department of Biomedical Engineering, Duke University , Durham, North Carolina.
William E Kraus1 Department of Biomedical Engineering, Duke University , Durham, North Carolina.
George A Truskey1 Department of Biomedical Engineering, Duke University , Durham, North Carolina.
Duke University · US

Funding

Interaction of Subchondral Bone and Articular Cartilage System with Skeletal MuscleUH3TR000505 · NCATS · DUKE UNIVERSITY · PI TRUSKEY, GEORGE A · 2014 to 2016
$3.6M
Translational studies of GAA deficiency in bioengineered human muscleR01AR065873 · NIAMS · DUKE UNIVERSITY · PI BURSAC, NENAD, KOEBERL, DWIGHT D · 2013 to 2017
$1.8M
Engineering a Functional Skeletal MuscleR01AR055226 · NIAMS · DUKE UNIVERSITY · PI BURSAC, NENAD · 2008 to 2012
$1.6M
NCATS NIH HHS UH3 TR000505NCATS NIH HHS UH3TR000505NIAMS NIH HHS R01AR055226NIAMS NIH HHS R01AR065873
6 · The paper itself

Abstract

To utilize three-dimensional (3D) engineered human skeletal muscle tissue for translational studies and in vitro studies of drug toxicity, there is a need to promote differentiation and functional behavior. In this study, we identified conditions to promote contraction of engineered human skeletal muscle bundles and examined the effects of transient inhibition of microRNAs (miRs) on myogenic differentiation and function of two-dimensional (2D) and 3D cultures of human myotubes. In 2D cultures, simultaneously inhibiting both miR-133a, which promotes myoblast proliferation, and miR-696, which represses oxidative metabolism, resulted in an increase in sarcomeric α-actinin protein and the metabolic coactivator PGC-1α protein compared to transfection with a scrambled miR sequence (negative control). Although PGC-1α was elevated following joint inhibition of miRs 133a and 696, there was no difference in myosin heavy chain (MHC) protein isoforms. 3D engineered human skeletal muscle myobundles seeded with 5 × 10(6) human skeletal myoblasts (HSkM)/mL and cultured for 2 weeks after onset of differentiation consistently did not contract when stimulated electrically, whereas those seeded with myoblasts at 10 × 10(6) HSkM/mL or higher did contract. When HSkM were transfected with both anti-miRs and seeded into fibrin hydrogels and cultured for 2 weeks under static conditions, twitch and tetanic specific forces after electrical stimulation were greater than for myobundles prepared with HSkM transfected with scrambled sequences. Immunofluorescence and Western blots of 3D myobundles indicate that anti-miR-133a or anti-miR-696 treatment led to modest increases in slow MHC, but no consistent increase in fast MHC. Similar to results in 2D, only myobundles prepared with myoblasts treated with anti-miR-133a and anti-miR-696 produced an increase in PGC-1α mRNA. PGC-1α targets were differentially affected by the treatment. HIF-2α mRNA showed an expression pattern similar to that of PGC-1α mRNA, but COXII mRNA levels were not affected by the anti-miRs. Overall, joint inhibition of miR-133a and miR-696 accelerated differentiation, elevated the metabolic coactivator PGC-1α, and increased the contractile force in 3D engineered human skeletal muscle bundles.

Indexed as

Cell DifferentiationMuscle ContractionBasic Helix-Loop-Helix ProteinsCell CountCells, CulturedCyclooxygenase 2Endothelial PAS Domain-Containing Protein 1Gene Expression RegulationHumansIsometric ContractionMicroRNAsMiddle AgedMuscle DevelopmentMuscle, SkeletalMyoblastsMyosin Heavy ChainsBasic Helix-Loop-Helix ProteinsCyclooxygenase 2Endothelial PAS Domain-Containing Protein 1MicroRNAsMIRN133 microRNA, humanMirn696 microRNA, humanMyosin Heavy ChainsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaProtein IsoformsRNA, Messenger

Identifiers

PMID26891613
PMCPMC4841083
OpenAlexW2343834286

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.