Evidence map›Paper›PMID 27418407›Full record

ArticleNature communications2016

RNA editing generates cellular subsets with diverse sequence within populations.

Dewi Harjanto, Theodore Papamarkou, Chris J Oates, Violeta Rayon-Estrada, F Nina Papavasiliou, Anastasia Papavasiliou

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. Human C-to-U Coding RNA Editing Is Largely Nonadaptive.Molecular biology and evolution · 2018
    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

6 authors.

Dewi HarjantoLaboratory of Lymphocyte Biology, The Rockefeller University, New York, New York 10065, USA.
Theodore PapamarkouSchool of Mathematics and Statistics, University of Glasgow, Glasgow G12 8QW, UK.
Chris J OatesSchool of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, New South Wales 2007, Australia.
Violeta Rayon-EstradaLaboratory of Lymphocyte Biology, The Rockefeller University, New York, New York 10065, USA.
F Nina PapavasiliouLaboratory of Lymphocyte Biology, The Rockefeller University, New York, New York 10065, USA.
Anastasia PapavasiliouDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UK.

Funding

Does the RNA editor Apobec-1 shift microRNA targeting to a tumorigenic effect?F32CA183318 · NCI · ROCKEFELLER UNIVERSITY · PI HARJANTO, DEWI · 2014 to 2016
$157k
NCI NIH HHS F32 CA183318
6 · The paper itself

Abstract

RNA editing is a mutational mechanism that specifically alters the nucleotide content in transcribed RNA. However, editing rates vary widely, and could result from equivalent editing amongst individual cells, or represent an average of variable editing within a population. Here we present a hierarchical Bayesian model that quantifies the variance of editing rates at specific sites using RNA-seq data from both single cells, and a cognate bulk sample to distinguish between these two possibilities. The model predicts high variance for specific edited sites in murine macrophages and dendritic cells, findings that we validated experimentally by using targeted amplification of specific editable transcripts from single cells. The model also predicts changes in variance in editing rates for specific sites in dendritic cells during the course of LPS stimulation. Our data demonstrate substantial variance in editing signatures amongst single cells, supporting the notion that RNA editing generates diversity within cellular populations.

Indexed as

Bayes TheoremModels, GeneticRNA EditingAnimalsAPOBEC-1 DeaminaseCell LineageDendritic CellsLipopolysaccharidesMacrophagesMice, Inbred C57BLReproducibility of ResultsSequence Analysis, RNASingle-Cell AnalysisAPOBEC-1 DeaminaseApobec1 protein, mouseLipopolysaccharides

Identifiers

PMID27418407
PMCPMC4947178

What OpenQuestion holds

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LicenceCC BY
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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.