Evidence map›Paper›PMID 26581326›Full record

ArticleScientific reports2015

CMV promoter mutants with a reduced propensity to productivity loss in CHO cells.

Benjamin Moritz, Peter B Becker, Ulrich Göpfert

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 79 citations in OpenAlex.

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  10. AAV-iScience · 2023
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  12. CRISPR Technologies in Chinese Hamster Ovary Cell Line Engineering.International journal of molecular sciences · 2023
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  19. Article
  20. An Improved Vector System for Homogeneous and Stable Gene Regulation.International journal of molecular sciences · 2021
    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

3 authors at 2 institutions in 1 country.

Benjamin MoritzRoche Pharmaceutical Research and Early Development, Large Molecule Research, Roche Innovation Center Penzberg, Germany.
Peter B BeckerBiomedical Center and Center for Integrated Protein Science Munich, Ludwig Maximilian University, Munich, Germany.
Ulrich GöpfertRoche Pharmaceutical Research and Early Development, Large Molecule Research, Roche Innovation Center Penzberg, Germany.
Roche Pharma AG (Germany) · DECenter for Integrated Protein Science Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The major immediate-early promoter and enhancer of the human cytomegalovirus (hCMV-MIE) is one of the most potent DNA elements driving recombinant gene expression in mammalian cells. Therefore, it is widely employed not only in research but also in large-scale industrial applications, e.g. for the production of therapeutic antibodies in Chinese hamster ovary cells (CHO). As we have reported previously, multi-site methylation of hCMV-MIE is linked to productivity loss in permanently transfected CHO cells lines. In particular, the cytosine located 179 bp upstream of the transcription start site (C-179) is frequently methylated. Therefore, our objective was to study whether mutation of C-179 and other cytosines within hCMV-MIE might lessen the instability of transgene expression. We discovered that the single mutation of C-179 to G can significantly stabilise the production of recombinant protein under control of hCMV-MIE in permanently transfected CHO cells.

Indexed as

Promoter Regions, GeneticAnimalsBase SequenceCHO CellsClone CellsCricetinaeCricetulusCytomegalovirusGenes, Immediate-EarlyHumansMolecular Sequence DataMutationRecombinant ProteinsRecombinant Proteins

Identifiers

PMID26581326
PMCPMC4652263
OpenAlexW2418367670

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.