Evidence map›Paper›PMID 21392545›Full record

ArticleJournal of biotechnology2011

Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering.

Matthias Hackl, Tobias Jakobi, Jochen Blom, Daniel Doppmeier, Karina Brinkrolf, Rafael Szczepanowski, Stephan H Bernhart, Christian Höner Zu Siederdissen, Juan A Hernandez Bort, Matthias Wieser and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of biotechnology, 2011. 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
5.9field-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, 107 citations in OpenAlex.

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  9. 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

17 authors at 5 institutions in 3 countries.

Matthias HacklDepartment of Biotechnology, University of Natural Resources and Life Sciences Vienna, Muthgasse 19, A-1190 Vienna, Austria.
Tobias Jakobi
Jochen Blom
Daniel Doppmeier
Karina Brinkrolf
Rafael Szczepanowski
Stephan H Bernhart
Christian Höner Zu Siederdissen
Juan A Hernandez Bort
Matthias Wieser
Renate Kunert
Simon Jeffs
Ivo L Hofacker
Alexander Goesmann
Alfred Pühler
Nicole Borth
Johannes Grillari
Bielefeld University · DEBOKU University · ATUniversity of Vienna · ATAustrian Centre of Industrial Biotechnology (Austria) · ATImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese hamster ovary (CHO) cells are the predominant cell factory for the production of recombinant therapeutic proteins. Nevertheless, the lack in publicly available sequence information is severely limiting advances in CHO cell biology, including the exploration of microRNAs (miRNA) as tools for CHO cell characterization and engineering. In an effort to identify and annotate both conserved and novel CHO miRNAs in the absence of a Chinese hamster genome, we deep-sequenced small RNA fractions of 6 biotechnologically relevant cell lines and mapped the resulting reads to an artificial reference sequence consisting of all known miRNA hairpins. Read alignment patterns and read count ratios of 5' and 3' mature miRNAs were obtained and used for an independent classification into miR/miR* and 5p/3p miRNA pairs and discrimination of miRNAs from other non-coding RNAs, resulting in the annotation of 387 mature CHO miRNAs. The quantitative content of next-generation sequencing data was analyzed and confirmed using qPCR, to find that miRNAs are markers of cell status. Finally, cDNA sequencing of 26 validated targets of miR-17-92 suggests conserved functions for miRNAs in CHO cells, which together with the now publicly available sequence information sets the stage for developing novel RNAi tools for CHO cell engineering.

Indexed as

Gene Expression ProfilingGenetic EngineeringMolecular Sequence AnnotationAnimalsBase SequenceCHO CellsConserved SequenceCricetinaeCricetulusGene Expression RegulationMicroRNAsMolecular Sequence DataNucleic Acid ConformationRNA, UntranslatedSequence AlignmentSequence Analysis, DNAMicroRNAsRNA, Untranslated

Identifiers

PMID21392545
PMCPMC3119918
OpenAlexW1978403430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.