Evidence map›Paper›PMID 40857442›Full record

ArticleMultibody system dynamics2024

Long-term dynamic simulation of cellular systems with inhomogeneous mass distribution.

Manoochehr Rabiei, Md Abu Sina Ibne Albaruni, Vatsal Joshi, Michael Cho, Alan Bowling

Abstract read
In one paragraph

Article in Multibody system dynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Manoochehr RabieiDepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, 76019, TX, USA.
Md Abu Sina Ibne AlbaruniDepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, 76019, TX, USA.
Vatsal JoshiDepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, 76019, TX, USA.
Michael ChoDepartment of Bioengineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, 76019, TX, USA.
Alan BowlingDepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, 76019, TX, USA.

Funding

Diversity Research Supplement for Combining Experiments and Computer Simulation to Improve the Stem Cell Differentiation ProcessR15EB030842 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI BOWLING, ALAN PAUL · 2021 to 2022
$796k
NIBIB NIH HHS R15 EB030842
6 · The paper itself

Abstract

This paper presents a high-speed, long-term approach to simulating the mechanobiology of cells with an inhomogeneous mass distribution ranging from femtograms to picograms. An accurate representation of cellular processes necessitates the inclusion of subcellular structures characterized by minute masses and dimensions. The minute objects yield multiscale dynamic models with disproportionate terms, which require inordinate amounts of computational time to simulate. The computational requirements limit the time span of the simulation to time histories shorter than one second, even when employing supercomputers. This paper examines adipogenesis, the transformation of human bone marrow-derived mesenchymal stem cells (hMSC) into adipocytes, a process that spans two weeks. The proposed simulation techniques are based on a novel scaling technique that addresses differently sized masses. This work addresses unique challenges beyond the authors' earlier work, which addressed disproportionality between large stiffness and damping forces in relation to small masses in the dynamic model. This new approach reduces computational time to less than 1 hour and 45 minutes on a standard desktop computer for the two-week duration of adipogenesis.

Indexed as

AdipogenesisAdipogenic differentiation processBiomechanicsMechanobiologyMultibody dynamicsMultiscale dynamicsStem cells

Identifiers

PMID40857442
PMCPMC12333578

What OpenQuestion holds

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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.