Evidence map›Paper›PMID 24518263›Full record

ArticleJournal of biotechnology2014

Stable overexpression of miR-17 enhances recombinant protein production of CHO cells.

Vaibhav Jadhav, Matthias Hackl, Gerald Klanert, Juan A Hernandez Bort, Renate Kunert, Johannes Grillari, Nicole Borth

Open access · hybridAbstract read
In one paragraph

Article in Journal of biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.6field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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  13. Exploring the molecular content of CHO exosomes during bioprocessing.Applied microbiology and biotechnology · 2021
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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 at 2 institutions in 1 country.

Vaibhav JadhavDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Matthias HacklDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Gerald KlanertDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology GmbH, Graz, Austria.
Juan A Hernandez BortDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology GmbH, Graz, Austria.
Renate KunertDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Johannes GrillariDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Nicole BorthDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Austrian Centre of Industrial Biotechnology GmbH, Graz, Austria. Electronic address: nicole.borth@boku.ac.at.
BOKU University · ATAustrian Centre of Industrial Biotechnology (Austria) · AT

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

miRNAs negatively regulate gene expression at post-transcriptional level, and consequently play an important role in the control of many cellular pathways. The use of miRNAs to engineer Chinese hamster ovary (CHO) cells is an emerging strategy to improve recombinant protein production. Here, we describe the effect of transient and stable miRNA overexpression on CHO cell phenotype. Using an established transient miRNA screening protocol, the effects of miR-17, miR-92a and cluster miR17-92a on CHO growth and protein productivity were studied and followed by analysis of cell pools with stable overexpression of these miRNAs. CHO cells stably engineered with miR-17 exhibited both enhanced growth performance and a 2-fold increase in specific productivity, which resulted in a 3-fold overall increase in EpoFc titer. While further studies of miRNA-mRNA interactions will be necessary to understand the molecular basis of this effect, these data provide valuable evidence for miR-17 as a cell engineering target to enhance CHO cell productivity.

Indexed as

AnimalsCell EngineeringCell ProliferationCHO CellsCricetinaeCricetulusHumansMicroRNAsPhenotypeRecombinant ProteinsTransfectionMicroRNAsRecombinant ProteinsChinese hamster ovary (CHO) cellsmicroRNA (miRNA)miR-17miR17-92a clustermiR-92a;Productivity

Identifiers

PMID24518263
PMCPMC3991393
OpenAlexW2034231104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.