Evidence map›Paper›PMID 31705037›Full record

ArticleScientific reports2019

Correlation between Nuclear Morphology and Adipogenic Differentiation: Application of a Combined Experimental and Computational Modeling Approach.

Andrew McColloch, Manoochehr Rabiei, Parisa Rabbani, Alan Bowling, Michael Cho

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  11. The microalgaMaterials today. Bio · 2024
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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.

Andrew McCollochUniversity of Texas at Arlington, Department of Biomedical Engineering, Arlington, 76010, USA.
Manoochehr RabieiUniversity of Texas at Arlington, Department of Mechanical and Aerospace Engineering, Arlington, TX, 76010, USA.
Parisa RabbaniUniversity of Texas at Arlington, Department of Biomedical Engineering, Arlington, 76010, USA.
Alan BowlingUniversity of Texas at Arlington, Department of Mechanical and Aerospace Engineering, Arlington, TX, 76010, USA.
Michael ChoUniversity of Texas at Arlington, Department of Biomedical Engineering, Arlington, 76010, USA. michael.cho@uta.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells undergo drastic morphological alterations during differentiation. While extensive studies have been performed to examine the cytoskeletal remodeling, there is a growing interest to determine the morphological, structural and functional changes of the nucleus. The current study is therefore aimed at quantifying the extent of remodeling of the nuclear morphology of human mesenchymal stem cells during biochemically-induced adipogenic differentiation. Results show the size of nuclei decreased exponentially over time as the lipid accumulation is up-regulated. Increases in the lipid accumulation appear to lag the nuclear reorganization, suggesting the nuclear deformation is a prerequisite to adipocyte maturation. Furthermore, the lamin A/C expression was increased and redistributed to the nuclear periphery along with a subsequent increase in the nuclear aspect ratio. To further assess the role of the nucleus, a nuclear morphology with a high aspect ratio was achieved using microcontact-printed substrate. The cells with an elongated nuclear shape did not efficiently undergo adipogenesis, suggesting the cellular and nuclear processes associated with stem cell differentiation at the early stage of adipogenesis cause a change in the nuclear morphology and cannot be abrogated by the morphological cues. In addition, a novel computational biomechanical model was generated to simulate the nuclear shape change during differentiation and predict the forces acting upon the nucleus. This effort led to the development of computational scaling approach to simulate the experimentally observed adipogenic differentiation processes over 15 days in less than 1.5 hours.

Indexed as

AdipocytesAdipogenesisAdult Stem CellsCell DifferentiationCell NucleusCells, CulturedComputer SimulationHumansLamin Type ALipid MetabolismMesenchymal Stem CellsMicroscopy, FluorescenceModels, BiologicalNuclear EnvelopeLamin Type ALMNA protein, human

Identifiers

PMID31705037
PMCPMC6842088

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.