Evidence map›Paper›PMID 33149200›Full record

ArticleScientific reports2020

On the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cells.

Aliaksei S Vasilevich, Steven Vermeulen, Marloes Kamphuis, Nadia Roumans, Said Eroumé, Dennie G A J Hebels, Jeroen van de Peppel, Rika Reihs, Nick R M Beijer, Aurélie Carlier and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 40 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

13 authors at 4 institutions in 2 countries.

Aliaksei S VasilevichBIS-Biointerface Science in Regenerative Medicine, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Steven VermeulenBIS-Biointerface Science in Regenerative Medicine, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Marloes KamphuisDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Nadia RoumansDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Said ErouméDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Dennie G A J HebelsDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Jeroen van de PeppelDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
Rika ReihsDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Nick R M BeijerDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Aurélie CarlierDepartment of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shantanu SinghImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jan de BoerBIS-Biointerface Science in Regenerative Medicine, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. j.d.boer@tue.nl.
Maastricht University · NLBroad Institute · USEindhoven University of Technology · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning rules by which cell shape impacts cell function would enable control of cell physiology and fate in medical applications, particularly, on the interface of cells and material of the implants. We defined the phenotypic response of human bone marrow-derived mesenchymal stem cells (hMSCs) to 2176 randomly generated surface topographies by probing basic functions such as migration, proliferation, protein synthesis, apoptosis, and differentiation using quantitative image analysis. Clustering the surfaces into 28 archetypical cell shapes, we found a very strict correlation between cell shape and physiological response and selected seven cell shapes to describe the molecular mechanism leading to phenotypic diversity. Transcriptomics analysis revealed a tight link between cell shape, molecular signatures, and phenotype. For instance, proliferation is strongly reduced in cells with limited spreading, resulting in down-regulation of genes involved in the G2/M cycle and subsequent quiescence, whereas cells with large filopodia are related to activation of early response genes and inhibition of the osteogenic process. In this paper we were aiming to identify a universal set of genes that regulate the material-induced phenotypical response of human mesenchymal stem cells. This will allow designing implants that can actively regulate cellular, molecular signalling through cell shape. Here we are proposing an approach to tackle this question.

Indexed as

AdipogenesisCell Culture TechniquesCell DifferentiationCell ProliferationCells, CulturedCell ShapeGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMesenchymal Stem CellsPhenotypeSequence Analysis, RNASignal TransductionSurface Properties

Identifiers

PMID33149200
PMCPMC7642380
OpenAlexW3094796671

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.