Evidence map›Paper›PMID 25689160›Full record

ArticleBiotechnology and bioengineering2015

Annotation of additional evolutionary conserved microRNAs in CHO cells from updated genomic data.

Andreas B Diendorfer, Matthias Hackl, Gerald Klanert, Vaibhav Jadhav, Manuel Reithofer, Fabian Stiefel, Friedemann Hesse, Johannes Grillari, Nicole Borth

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 2 countries.

Andreas B DiendorferDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria. andreas.diendorfer@boku.ac.at.
Matthias HacklDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria.
Gerald KlanertACIB GmbH, Austrian Centre of Industrial Biotechnology, Graz, Austria.
Vaibhav JadhavDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria.
Manuel ReithoferDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria.
Fabian StiefelBiberach University of Applied Sciences, Biberach, Germany.
Friedemann HesseBiberach University of Applied Sciences, Biberach, Germany.
Johannes GrillariDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria.
Nicole BorthDepartment of Biotechnology, BOKU University of Natural Resources and Life Sciences, Vienna, Austria.
BOKU University · ATAustrian Centre of Industrial Biotechnology (Austria) · ATUniversity of Applied Sciences Biberach · DE

Funding

Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

MicroRNAs are small non-coding RNAs that play a critical role in post-transcriptional control of gene expression. Recent publications of genomic sequencing data from the Chinese Hamster (CGR) and Chinese hamster ovary (CHO) cells provide new tools for the discovery of novel miRNAs in this important production system. Version 20 of the miRNA registry miRBase contains 307 mature miRNAs and 200 precursor sequences for CGR/CHO. We searched for evolutionary conserved miRNAs from miRBase v20 in recently published genomic data, derived from Chinese hamster and CHO cells, to further extend the list of known miRNAs. With our approach we could identify several hundred miRNA sequences in the genome. For several of these, the expression in CHO cells could be verified from multiple next-generation sequencing experiments. In addition, several hundred unexpressed miRNAs are awaiting further confirmation by testing for their transcription in different Chinese hamster tissues.

Indexed as

Molecular Sequence AnnotationAnimalsCHO CellsCricetulusHigh-Throughput Nucleotide SequencingMicroRNAsMicroRNAsChinese hamster ovary cellmicroRNAnext-generation sequencing

Identifiers

PMID25689160
PMCPMC4949662
OpenAlexW2124042884

What OpenQuestion holds

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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.