Evidence map›Paper›PMID 36681715›Full record

ArticleScientific reports2023

Microevolutionary dynamics of eccDNA in Chinese hamster ovary cells grown in fed-batch cultures under control and lactate-stressed conditions.

Dylan G Chitwood, Qinghua Wang, Stephanie R Klaubert, Kiana Green, Cathy H Wu, Sarah W Harcum, Christopher A Saski

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

7 authors.

Dylan G ChitwoodDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Qinghua WangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
Stephanie R KlaubertDepartment of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
Kiana GreenDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA.
Cathy H WuCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
Sarah W HarcumDepartment of Bioengineering, Clemson University, Clemson, SC, USA.
Christopher A SaskiDepartment of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA. saski@clemson.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese hamster ovary (CHO) cell lines are widely used to manufacture biopharmaceuticals. However, CHO cells are not an optimal expression host due to the intrinsic plasticity of the CHO genome. Genome plasticity can lead to chromosomal rearrangements, transgene exclusion, and phenotypic drift. A poorly understood genomic element of CHO cell line instability is extrachromosomal circular DNA (eccDNA) in gene expression and regulation. EccDNA can facilitate ultra-high gene expression and are found within many eukaryotes including humans, yeast, and plants. EccDNA confers genetic heterogeneity, providing selective advantages to individual cells in response to dynamic environments. In CHO cell cultures, maintaining genetic homogeneity is critical to ensuring consistent productivity and product quality. Understanding eccDNA structure, function, and microevolutionary dynamics under various culture conditions could reveal potential engineering targets for cell line optimization. In this study, eccDNA sequences were investigated at the beginning and end of two-week fed-batch cultures in an ambr

Indexed as

Batch Cell Culture TechniquesLactic AcidAnimalsCHO CellsCricetinaeCricetulusDNAGenomeHumansDNALactic Acid

Identifiers

PMID36681715
PMCPMC9862248

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.