Evidence map›Paper›PMID 31617559›Full record

ArticleNucleic acids research2020

PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3' end sequencing.

Christina J Herrmann, Ralf Schmidt, Alexander Kanitz, Panu Artimo, Andreas J Gruber, Mihaela Zavolan

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing 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

149 citing papers in PubMed.

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89 more citing papers are in PubMed but not listed here.

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

6 authors.

Christina J HerrmannBiozentrum, University of Basel, Basel, Switzerland.
Ralf SchmidtBiozentrum, University of Basel, Basel, Switzerland.
Alexander KanitzBiozentrum, University of Basel, Basel, Switzerland.
Panu ArtimoSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Andreas J GruberOxford Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Mihaela ZavolanBiozentrum, University of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generated by 3' end cleavage and polyadenylation at alternative polyadenylation (poly(A)) sites, alternative terminal exons account for much of the variation between human transcript isoforms. More than a dozen protocols have been developed so far for capturing and sequencing RNA 3' ends from a variety of cell types and species. In previous studies, we have used these data to uncover novel regulatory signals and cell type-specific isoforms. Here we present an update of the PolyASite (https://polyasite.unibas.ch) resource of poly(A) sites, constructed from publicly available human, mouse and worm 3' end sequencing datasets by enforcing uniform quality measures, including the flagging of putative internal priming sites. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. We have established a modern web portal for efficient finding, exploration and export of data. Database generation is fully automated, greatly facilitating incorporation of new datasets and the updating of underlying genome resources.

Indexed as

Databases, Nucleic AcidPolyadenylationAnimalsCaenorhabditis elegansHumansMicePoly ASequence Analysis, RNAPoly A

Identifiers

PMID31617559
PMCPMC7145510

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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.