Evidence map›Paper›PMID 41907582›Full record

ArticleArXiv2026

Intracellular Measurement-Informed Multiscale Modeling for Scalable iPSC Manufacturing.

Fuqiang Cheng, Zahra Foroozan Jahromi, Keqi Wang, Thomas C Caldwell, Grace Cai, Keilung Choy, Jared Auclair, Jeffrey L Campbell, Youbo Zhao, Seongkyu Yoon and 2 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2026. 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

12 authors.

Fuqiang ChengDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Zahra Foroozan JahromiDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA.
Keqi WangDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Thomas C CaldwellDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Grace CaiPhysical Sciences Inc. (PSI), Andover, MA, USA.
Keilung ChoyDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Jared AuclairDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.
Jeffrey L CampbellPhysical Sciences Inc. (PSI), Andover, MA, USA.
Youbo ZhaoPhysical Sciences Inc. (PSI), Andover, MA, USA.
Seongkyu YoonDepartment of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA.
Sarah W HarcumDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Wei XieDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA.

Funding

Optical Redox Probe for Continuous Metabolic Monitoring during Natural Products BioprocessingR44AT010840 · NCCIH · PHYSICAL SCIENCES, INC · PI ZHAO, YOUBO · 2022 to 2023
$1.8M
NCCIH NIH HHS R44 AT010840
6 · The paper itself

Abstract

Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is essential for industrial-scale production of cell therapies and regenerative medicines. However, the 3D aggregate cultures used in manufacturing exhibit substantial spatial and metabolic heterogeneity compared with the relatively homogeneous monolayer systems used in laboratory studies, complicating mechanistic understanding and predictive metabolic modeling across culture scales. To address this challenge, we developed a modular multiscale mechanistic foundation model that links molecular, cellular, and macroscopic processes while accounting for spatial and metabolic heterogeneity. The framework integrates extracellular culture dynamics, intracellular metabolic fluxes, and cellular redox states by extending a previously established monolayer kinetic network and coupling it with a biological systems-of-systems (Bio-SoS) multiscale model for aggregate cultures, incorporating explicit redox interactions. Systematic monolayer and aggregate experiments-including multiple isotopic tracers, extracellular metabolite profiling, and two-photon optical redox imaging-were used to improve and validate the model. This integrated framework unifies heterogeneous datasets across culture configurations and enables mechanistic interpretation of metabolic and redox responses across heterogeneous culture scales, providing a quantitative foundation for scalable iPSC biomanufacturing.

Indexed as

Advanced Optical SensingCellular Metabolic–Redox ModelingCulture Spatiotemporal Heterogeneityinduced Pluripotent Stem CellsMonolayer and Aggregate CulturesMultiple Isotope LabelingMulti-Scale Mechanistic Modeling

Identifiers

PMID41907582
PMCPMC13019451

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.