Evidence map›Paper›PMID 40820400›Full record

ArticleBiotechnology journal2025

Evaluation of "Difficult-to-Express" Monoclonal Antibodies in a CHO-Based Hybrid Site-Specific Integration System Under Industrially Relevant Conditions.

Alana C Szkodny, Kelvin H Lee

Abstract read
In one paragraph

Article in Biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Alana C SzkodnyDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.ORCID https://orcid.org/0000-0002-9071-9363
Kelvin H LeeDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA.ORCID https://orcid.org/0000-0003-0908-2981

Funding

DOC NIST 70NANB17H002National Science Foundation 1624698National Science Foundation 2100502U.S. Department of Commerce's and National Institute of Standards and Technology
6 · The paper itself

Abstract

Variation in the primary sequence of monoclonal antibodies (mAbs) can negatively affect their behavior in biopharmaceutical manufacturing platforms, and efforts to identify mAbs with poor "developability" characteristics lack robust methods for assessing mAb expression from an industrially relevant platform. Recent advancements in site-specific integration-based (SSI) platforms in Chinese hamster ovary (CHO) cells can mitigate the high transcriptional variation observed with random integration and the low industrial relevance of transient expression by providing a flexible platform for mAb expression from a consistent clonal background. This work applies a novel SSI-based expression system capable of generating isogenic cell pools in less than 1 month to systematically compare the expression of ten sequence variants of two therapeutically relevant mAbs from two genomic loci under industrially relevant culture conditions. Eight single amino acid mutations in trastuzumab resulted in reduced productivity compared to the wild-type mAb in batch cultures, and three mutations maintained a low-expressing phenotype in fed-batch cultures. The mutations resulted in variant-specific patterns of decreased domain stability and increased ER stress. The application of industrially relevant SSI systems in developability workflows could strengthen the understanding of the sequence determinants of mAb expression to improve mAb design, candidate selection, and process development decisions.

Indexed as

Antibodies, MonoclonalAnimalsBatch Cell Culture TechniquesCHO CellsCricetulusMutationRecombinant ProteinsTrastuzumabAntibodies, MonoclonalRecombinant ProteinsTrastuzumabdifficult‐to‐expressrecombinase‐mediated cassette exchangesite‐specific integration

Identifiers

PMID40820400
PMCPMC12358708

What OpenQuestion holds

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Registered trials

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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.