Evidence map›Paper›PMID 31483482›Full record

ArticleBiotechnology and bioengineering2019

Computational fluid dynamics modeling, a novel, and effective approach for developing scalable cell therapy manufacturing processes.

Mehdi Shafa, Krishna M Panchalingam, Tylor Walsh, Thomas Richardson, Behnam Ahmadian Baghbaderani

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Novel, low-cost bioreactor forFrontiers in bioengineering and biotechnology · 2025
    Article
  2. Commercialization of Cell Therapies: A CDMO Perspective.Advances in experimental medicine and biology · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Advances in Manufacturing Cardiomyocytes from Human Pluripotent Stem Cells.Annual review of chemical and biomolecular engineering · 2022
    Review
  11. Review
  12. Review
  13. Review
  14. End-to-End Platform for Human Pluripotent Stem Cell Manufacturing.International journal of molecular sciences · 2019
    Article
  15. 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

5 authors.

Mehdi ShafaCell Therapy Process Development, Lonza Walkersville, Inc., Walkersville, Maryland.ORCID 0000-0003-3560-2717
Krishna M PanchalingamCell Therapy Process Development, Lonza Walkersville, Inc., Walkersville, Maryland.
Tylor WalshCell Therapy Process Development, Lonza Walkersville, Inc., Walkersville, Maryland.
Thomas RichardsonCell Therapy Process Development, Lonza Walkersville, Inc., Walkersville, Maryland.
Behnam Ahmadian BaghbaderaniCell Therapy Process Development, Lonza Walkersville, Inc., Walkersville, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Induced pluripotent stem cells (iPSCs) hold great potential to generate novel, curative cell therapy products. However, current methods to generate these novel therapies lack scalability, are labor-intensive, require a large footprint, and are not suited to meet clinical and commercial demands. Therefore, it is necessary to develop scalable manufacturing processes to accommodate the generation of high-quality iPSC derivatives under controlled conditions. The current scale-up methods used in cell therapy processes are based on empirical, geometry-dependent methods that do not accurately represent the hydrodynamics of 3D bioreactors. These methods require multiple iterations of scale-up studies, resulting in increased development cost and time. Here we show a novel approach using computational fluid dynamics modeling to effectively scale-up cell therapy manufacturing processes in 3D bioreactors. Using a GMP-compatible iPSC line, we translated and scaled-up a small-scale cardiomyocyte differentiation process to a 3-L computer-controlled bioreactor in an efficient manner, showing comparability in both systems.

Indexed as

BioreactorsCell Culture TechniquesInduced Pluripotent Stem CellsModels, BiologicalRheologyCell- and Tissue-Based TherapyCell LineHumanscardiomyocytescGMPcomputational fluid dynamicsinduced pluripotent stem cells

Identifiers

PMID31483482
PMCPMC6973104

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.