Evidence map›Paper›PMID 42047891›Full record

ArticleBioresources and bioprocessing2026

Engineered NLS-PBase system boosts stability and productivity in recombinant cell lines.

Yanan Zhou, Yuan Tian, Qingyuan Ran, Qian Ye, Wen-Song Tan

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 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
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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

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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

5 authors.

Yanan ZhouState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, People's Republic of China.
Yuan TianState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, People's Republic of China.
Qingyuan RanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, People's Republic of China.
Qian YeState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, People's Republic of China.
Wen-Song TanState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, People's Republic of China. wstan@ecust.edu.cn.ORCID http://orcid.org/0000-0001-9857-4798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese hamster ovary (CHO) cells constitute the industry-standard platform for the production of complex therapeutic proteins, yet genomic heterogeneity arising from random integration leads to clonal variability and unstable expression, necessitating a robust cell line development process to efficiently isolate stable, high-expressing clones. By employing an optimized integration strategy, recombinant cell line performance can be enhanced through improved genomic stability and increased productivity. In this study, GFP reporter analysis demonstrated that the PiggyBac system significantly boosts the yield of both stable and high-expression clones. Subsequently, transposase modified with a nuclear localization signal (NLS) exhibited superior stability in recombinant cell lines and polyclonal pools. The nucleoplasmin NLS resulted in transgene integration into genomic loci that promote enhanced and more stable expression, thereby improving clonal distribution. Furthermore, this strategy also increased recombinant mAb expression by 97% in pools while enhancing average and specific productivity in derived cell lines. Additionally, recombinant suspension cells generated with the optimized system exhibited comparable performance, with over 50% of minipools showing robust growth. Overall, these findings highlight the promising utility of the NLS-optimized PiggyBac system for improving transgene stability and expression while streamlining the cell line screening process.

Indexed as

Cell line constructionNuclear localization signalPiggyBac systemProductionStabilityTransposon

Identifiers

PMID42047891
PMCPMC13125444

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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.