Evidence map›Paper›PMID 39968655›Full record

ArticleBiotechnology progress

Improving outcomes in intensified processing via optimization of the cell line development workflow.

Vincent Balassi, Mary Otto, Corey Kretzmer, Amber Petersen, Channing McLaurin, Jana Mahadevan, Jason Gustin, Trissa Borgschulte, David Razafsky

Abstract read
In one paragraph

Article in Biotechnology progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Vincent BalassiExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
Mary OttoExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
Corey KretzmerExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
Amber PetersenExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
Channing McLaurinCell Culture Media and Process Development, MilliporeSigma, Saint Louis, Missouri, USA.
Jana MahadevanCell Culture Media and Process Development, MilliporeSigma, Saint Louis, Missouri, USA.
Jason GustinExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
Trissa BorgschulteExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.
David RazafskyExpression Systems and Novel Biopharmaceutical Materials, MilliporeSigma, Saint Louis, Missouri, USA.ORCID 0000-0001-6292-0169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the industry continues to explore the benefits of continuous and intensified manufacturing, it is important to assure that the cell line development (CLD) workflows in practice today are well suited to generate clones that meet the unique challenges associated with these processes. Most cell lines used in intensified processes are currently developed using traditional fed-batch CLD workflows followed by adaptation of these cell lines to perfusion processes. This method maybe suboptimal as fed-batch CLD workflows select clones which produce high volumetric titers irrespective of cell growth rate and specific productivity (qP). Although sufficient for fed-batch processes, performance of cells derived from this traditional CLD workflow may not be maintained in perfusion processes, where an intricate balance of performance parameters is needed. Until now, a thorough investigation into the effect of the CLD workflow on top clone performance in perfusion processes has not been conducted. Here, we show how the CLD workflow impacts cell performance in both fed-batch and perfusion processes, emphasizing the advantages of adopting a perfusion-specific CLD workflow which includes the use of medium specially designed for expansion and production in a perfusion setting, scale-down models which more accurately simulate perfusion process, and the adoption of perfusion-specific cell line selection criteria. Together, this results in the development of more efficient cell lines, fit for continuous and intensified processing.

Indexed as

Batch Cell Culture TechniquesCell Culture TechniquesAnimalsBioreactorsCell LineCell ProliferationCHO CellsCricetulusWorkflowcell line development (CLD)Chinese hamster ovary cells (CHO)intensified processmonoclonal antibodyperfusionprocess developmentscaled down models

Identifiers

PMID39968655
PMCPMC12171385

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.