Evidence map›Paper›PMID 29500447›Full record

ArticleScientific reports2018

Biological and mechanical interplay at the Macro- and Microscales Modulates the Cell-Niche Fate.

Udi Sarig, Hadar Sarig, Aleksander Gora, Muthu Kumar Krishnamoorthi, Gigi Chi Ting Au-Yeung, Elio de-Berardinis, Su Yin Chaw, Priyadarshini Mhaisalkar, Hanumakumar Bogireddi, Seeram Ramakrishna and 3 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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  9. AnFrontiers in pharmacology · 2022
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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

13 authors at 2 institutions in 2 countries.

Udi SarigSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.ORCID 0000-0001-5260-4023
Hadar SarigSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Aleksander GoraDepartment of Mechanical Engineering, National University of Singapore (NUS), Singapore, Singapore.
Muthu Kumar KrishnamoorthiSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Gigi Chi Ting Au-YeungSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Elio de-BerardinisSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Su Yin ChawSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Priyadarshini MhaisalkarSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Hanumakumar BogireddiSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Seeram RamakrishnaDepartment of Mechanical Engineering, National University of Singapore (NUS), Singapore, Singapore.
Freddy Yin Chiang BoeySchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.
Subbu S VenkatramanSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore.ORCID 0000-0002-8693-1070
Marcelle MachlufSchool of Materials and Science Engineering (MSE), Nanyang Technological University (NTU), Singapore, Singapore. machlufm@tx.technion.ac.il.
Nanyang Technological University · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue development, regeneration, or de-novo tissue engineering in-vitro, are based on reciprocal cell-niche interactions. Early tissue formation mechanisms, however, remain largely unknown given complex in-vivo multifactoriality, and limited tools to effectively characterize and correlate specific micro-scaled bio-mechanical interplay. We developed a unique model system, based on decellularized porcine cardiac extracellular matrices (pcECMs)-as representative natural soft-tissue biomaterial-to study a spectrum of common cell-niche interactions. Model monocultures and 1:1 co-cultures on the pcECM of human umbilical vein endothelial cells (HUVECs) and human mesenchymal stem cells (hMSCs) were mechano-biologically characterized using macro- (Instron), and micro- (AFM) mechanical testing, histology, SEM and molecular biology aspects using RT-PCR arrays. The obtained data was analyzed using developed statistics, principal component and gene-set analyses tools. Our results indicated biomechanical cell-type dependency, bi-modal elasticity distributions at the micron cell-ECM interaction level, and corresponding differing gene expression profiles. We further show that hMSCs remodel the ECM, HUVECs enable ECM tissue-specific recognition, and their co-cultures synergistically contribute to tissue integration-mimicking conserved developmental pathways. We also suggest novel quantifiable measures as indicators of tissue assembly and integration. This work may benefit basic and translational research in materials science, developmental biology, tissue engineering, regenerative medicine and cancer biomechanics.

Indexed as

Cell LineageBiomechanical PhenomenaCell DifferentiationCoculture TechniquesEndothelium, VascularExtracellular MatrixGene Expression ProfilingHumansHuman Umbilical Vein Endothelial CellsMesenchymal Stem CellsMicroscopy, Atomic ForceMicroscopy, Electron, ScanningMicroscopy, FluorescenceTissue Engineering

Identifiers

PMID29500447
PMCPMC5834609
OpenAlexW2803553606

What OpenQuestion holds

Textmetadata
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.