Evidence map›Paper›PMID 32669295›Full record

ArticleRNA (New York, N.Y.)2020

Determination of primary microRNA processing in clinical samples by targeted pri-miR-sequencing.

Thomas Conrad, Evgenia Ntini, Benjamin Lang, Luca Cozzuto, Jesper B Andersen, Jens U Marquardt, Julia Ponomarenko, Gian Gaetano Tartaglia, Ulf A Vang Ørom

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2020. 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
0.3field-weighted citation impact, top 50% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 7 institutions in 3 countries.

Thomas ConradBerlin Institute for Medical Systems Biology, 10115 Berlin, Germany.
Evgenia NtiniMax Planck Institute for Molecular Genetic, 14195 Berlin, Germany.
Benjamin LangCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.
Luca CozzutoCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.
Jesper B AndersenBiotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Jens U MarquardtUniversitätsklinikum Schleswig-Holstein, 23538 Lübeck, Germany.
Julia PonomarenkoCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.
Gian Gaetano TartagliaCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain.ORCID 0000-0001-7524-6310
Ulf A Vang ØromAarhus University, Department of Molecular Biology and Genetics, 8000 Aarhus, Denmark.ORCID 0000-0002-0643-0592
Barcelona Institute of Science and Technology · ESUniversitat Pompeu Fabra · ESAarhus University · DKMax Planck Institute for Molecular Genetics · DEMSB Medical School Berlin · DEUniversitäres Kinderwunschzentrum Lübeck · DEUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA expression is important for gene regulation and deregulated microRNA expression is often observed in diseases such as cancer. The processing of primary microRNA transcripts is an important regulatory step in microRNA biogenesis. Due to low expression level and association with chromatin, primary microRNAs are challenging to study in clinical samples where input material is limited. Here, we present a high-sensitivity targeted method to determine processing efficiency of several hundred primary microRNAs from total RNA that requires relatively few RNA sequencing reads. We validate the method using RNA from HeLa cells and show the applicability to clinical samples by analyzing RNA from normal liver and hepatocellular carcinoma. We identify 24 primary microRNAs with significant changes in processing efficiency from normal liver to hepatocellular carcinoma, among those the highly expressed miRNA-122 and miRNA-21, demonstrating that differential processing of primary microRNAs is occurring and could be involved in disease. With our method presented here we provide means to study pri-miRNA processing in disease from clinical samples.

Indexed as

Carcinoma, HepatocellularGene Expression Regulation, NeoplasticHeLa CellsHigh-Throughput Nucleotide SequencingHumansLiver NeoplasmsMicroRNAsSequence Analysis, RNAMicroRNAsMIRN122 microRNA, humanMIRN21 microRNA, humanclinical samplesHCClivermiRNA biogenesisprimary miRNAsRNA sequencing

Identifiers

PMID32669295
PMCPMC7566579
OpenAlexW3043372712

What OpenQuestion holds

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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.