Evidence map›Paper›PMID 27756200›Full record

ArticleBMC bioinformatics2016

Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries.

Elena Grassi, Elisa Mariella, Antonio Lembo, Ivan Molineris, Paolo Provero

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In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Foxg1 and companions: Not only transcription factors.Neural regeneration research · 2026
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  16. The Detection and Bioinformatic Analysis of Alternative 3International journal of molecular sciences · 2021
    Review
  17. Alternative polyadenylation: methods, mechanism, function, and role in cancer.Journal of experimental & clinical cancer research : CR · 2021
    Review
  18. 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.

Elena GrassiDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Via Nizza 52, Torino, 10126, Italy. elena.grassi@unito.t.ORCID http://orcid.org/0000-0003-1066-927X
Elisa MariellaDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Via Nizza 52, Torino, 10126, Italy.
Antonio LemboDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Via Nizza 52, Torino, 10126, Italy.
Ivan MolinerisDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Via Nizza 52, Torino, 10126, Italy.
Paolo ProveroDepartment of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, Via Nizza 52, Torino, 10126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-transcriptional regulation is a complex mechanism that plays a central role in defining multiple cellular identities starting from a common genome. Modifications in the length of 3'UTRs have been found to play an important role in this context, since alternative 3' UTRs could lead to differences for example in regulation by microRNAs and cellular localization of the transcripts thus altering their fate.

resultsWe propose a strategy to identify the genes undergoing regulation of 3' UTR length using RNA sequencing data obtained from standard libraries, thus widely applicable to data originally obtained to perform classical differential expression analyses. We decided to exploit previously annotated APA sites from public databases, in contrast with other approaches recently proposed in which the location of the APA site is inferred from the data together with the relative abundance of the isoforms. We demonstrate the reliability of our method by comparing it to the results of other microarray based or specific RNA-seq libraries methods and show that using APA sites databases results in higher sensitivity compared to de novo site prediction approach.

conclusionsWe implemented the algorithm in a Bioconductor package to facilitate its broad usage in the scientific community. The ability of this approach to detect shortening from libraries with a number of reads comparable to that needed for differential expression analyses makes it useful for investigating if alternative polyadenylation is relevant in a certain biological process without requiring specific experimental assays.

Indexed as

Algorithms3' Untranslated RegionsBrainBreast NeoplasmsFemaleGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansPolyadenylationReproducibility of ResultsRNA, Messenger3' Untranslated RegionsRNA, Messenger3’ UTRBioconductorPolyadenylationRNA-sequencingSoftware

Identifiers

PMID27756200
PMCPMC5069797

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Registered trials

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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.