Evidence map›Paper›PMID 38547243›Full record

ArticlePloS one2024

Topological defects in self-assembled patterns of mesenchymal stromal cells in vitro are predictive attributes of condensation and chondrogenesis.

Ekta Makhija, Yang Zheng, Jiahao Wang, Han Ren Leong, Rashidah Binte Othman, Ee Xien Ng, Eng Hin Lee, Lisa Tucker Kellogg, Yie Hou Lee, Hanry Yu and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Actuation of Cell Layers in Three Dimensions.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. Article
  4. Article
  5. Article
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

12 authors.

Ekta MakhijaCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Yang ZhengCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Jiahao WangMechanobiology Institute, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-4268-8021
Han Ren LeongCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Rashidah Binte OthmanCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Ee Xien NgCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Eng Hin LeeCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Lisa Tucker KelloggCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Yie Hou LeeCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Hanry YuCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Zhiyong PoonCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.
Krystyn J Van VlietCritical Analytics for Manufacturing Personalized-medicine (CAMP) Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology (SMART), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore.ORCID 0000-0001-5735-0560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stromal cells (MSCs) are promising therapeutic agents for cartilage regeneration, including the potential of cells to promote chondrogenesis in vivo. However, process development and regulatory approval of MSCs as cell therapy products benefit from facile in vitro approaches that can predict potency for a given production run. Current standard in vitro approaches include a 21 day 3D differentiation assay followed by quantification of cartilage matrix proteins. We propose a novel biophysical marker that is cell population-based and can be measured from in vitro monolayer culture of MSCs. We hypothesized that the self-assembly pattern that emerges from collective-cell behavior would predict chondrogenesis motivated by our observation that certain features in this pattern, namely, topological defects, corresponded to mesenchymal condensations. Indeed, we observed a strong predictive correlation between the degree-of-order of the pattern at day 9 of the monolayer culture and chondrogenic potential later estimated from in vitro 3D chondrogenic differentiation at day 21. These findings provide the rationale and the proof-of-concept for using self-assembly patterns to monitor chondrogenic commitment of cell populations. Such correlations across multiple MSC donors and production batches suggest that self-assembly patterns can be used as a candidate biophysical attribute to predict quality and efficacy for MSCs employed therapeutically for cartilage regeneration.

Indexed as

ChondrogenesisMesenchymal Stem CellsCartilageCell DifferentiationCells, CulturedHumansTissue Donors

Identifiers

PMID38547243
PMCPMC10977694

What OpenQuestion holds

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LicenceCC BY
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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.