Evidence map›Paper›PMID 41602475›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Scalable CAR-T production in a 2-litre perfusion stirred-tank bioreactor with automated harvesting and scale-down model characterisation.

Pierre Springuel, Pedro Silva Couto, Dale J Stibbs, Michal Szelwicki, Amanda Frangleton, Timo Schmidberger, Ajith George, Fern Slingsby, Nicola Bevan, Asma Ahmad and 5 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. 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

15 authors.

Pierre SpringuelDepartment of Biochemical Engineering, University College London, London, United Kingdom.
Pedro Silva CoutoDepartment of Biochemical Engineering, University College London, London, United Kingdom.
Dale J StibbsDepartment of Biochemical Engineering, University College London, London, United Kingdom.
Michal SzelwickiSartorius Stedim UK Limited, Surrey, United Kingdom.
Amanda FrangletonSartorius Stedim UK Limited, Surrey, United Kingdom.
Timo SchmidbergerSartorius Stedim Biotech GmbH, Goettingen, Germany.
Ajith GeorgeSartorius Stedim Biotech GmbH, Goettingen, Germany.
Fern SlingsbySartorius Stedim UK Limited, Surrey, United Kingdom.
Nicola BevanEssen BioScience Ltd. (Part of the Sartorius Group), Royston, United Kingdom.
Asma AhmadRepligen Corporation, Waltham, MA, United States.
Rachel LegmannRepligen Corporation, Waltham, MA, United States.
Noushin DianatSartorius Stedim France S.A.S., Aubagne, France.
Rukmini LadiSartorius Stedim North America Inc., Bohemia, NY, United States.
Julia HengstSartorius Stedim Biotech GmbH, Goettingen, Germany.
Qasim A RafiqDepartment of Biochemical Engineering, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of allogeneic, universal chimeric antigen receptor (CAR) T cell therapies requires intensified and scalable manufacturing workflows supported by representative scale-down models (SDMs) to enable efficient process development and future large-scale production of off-the-shelf therapies. Here, we present a 7-day CAR-T cell expansion process intensified via perfusion of serum-free medium in a 2 L Univessel® Single-Use stirred-tank bioreactor (STR), consistently achieving 30 × 10

Indexed as

automated downstream processingCAR-T cellperfusionscale-down modelscale-upstirred-tank bioreactor

Identifiers

PMID41602475
PMCPMC12833271

What Socratic holds

Textmetadata
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 Socratic graph.