Evidence map›Paper›PMID 30355603›Full record

ArticleGenome research2018

NanoPARE: parallel analysis of RNA 5' ends from low-input RNA.

Michael A Schon, Max J Kellner, Alexandra Plotnikova, Falko Hofmann, Michael D Nodine

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed, 74 citations in OpenAlex.

  1. Genome-wide mapping of DCP2-dependent 5' cap footprints inNAR genomics and bioinformatics · 2026
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  8. Premeiotic 24-nt phasiRNAs are present in theProceedings of the National Academy of Sciences of the United States of America · 2024
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  9. Premeiotic 24-nt phasiRNAs are present in thebioRxiv : the preprint server for biology · 2024
    Article
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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

5 authors at 1 institution in 1 country.

Michael A Schon *Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria.ORCID 0000-0002-4756-3906
Max J Kellner *Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria.ORCID 0000-0002-5404-0628
Alexandra PlotnikovaGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria.
Falko HofmannGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria.
Michael D NodineGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria.ORCID 0000-0002-6204-8857
Gregor Mendel Institute of Molecular Plant Biology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diverse RNA 5' ends are generated through both transcriptional and post-transcriptional processes. These important modes of gene regulation often vary across cell types and can contribute to the diversification of transcriptomes and thus cellular differentiation. Therefore, the identification of primary and processed 5' ends of RNAs is important for their functional characterization. Methods have been developed to profile either RNA 5' ends from primary transcripts or the products of RNA degradation genome-wide. However, these approaches either require high amounts of starting RNA or are performed in the absence of paired gene-body mRNA-seq data. This limits current efforts in RNA 5' end annotation to whole tissues and can prevent accurate RNA 5' end classification due to biases in the data sets. To enable the accurate identification and precise classification of RNA 5' ends from standard and low-input RNA, we developed a next-generation sequencing-based method called nanoPARE and associated software. By integrating RNA 5' end information from nanoPARE with gene-body mRNA-seq data from the same RNA sample, our method enables the identification of transcription start sites at single-nucleotide resolution from single-cell levels of total RNA, as well as small RNA-mediated cleavage events from at least 10,000-fold less total RNA compared to conventional approaches. NanoPARE can therefore be used to accurately profile transcription start sites, noncapped RNA 5' ends, and small RNA targeting events from individual tissue types. As a proof-of-principle, we utilized nanoPARE to improve

Indexed as

5' Untranslated RegionsNanotechnologyHigh-Throughput Nucleotide SequencingMicroRNAsRNA CleavageRNA InterferenceRNA, MessengerSequence Analysis, RNATranscription Initiation Site5' Untranslated RegionsMicroRNAsRNA, Messenger

Identifiers

PMID30355603
PMCPMC6280765
OpenAlexW2898202447

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.