Evidence map›Paper›PMID 30827466›Full record

ReviewMethods (San Diego, Calif.)2019

Nucleoside analogs in the study of the epitranscriptome.

Cody M Palumbo, Peter A Beal

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

2 authors.

Cody M PalumboDepartment of Chemistry, University of California, One Shields Ave, Davis, CA 95616, USA.
Peter A BealDepartment of Chemistry, University of California, One Shields Ave, Davis, CA 95616, USA. Electronic address: pabeal@ucdavis.edu.

Funding

The Bioorganic Chemistry Of RNA Editing By ADARSR01GM061115 · NIGMS · UNIVERSITY OF UTAH · PI BEAL, PETER A. · 2001 to 2020
$4.5M
UC Davis Training Program in Chemical BiologyT32GM113770 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BEAL, PETER A. · 2015 to 2019
$742k
NIGMS NIH HHS R01 GM061115NIGMS NIH HHS T32 GM113770
6 · The paper itself

Abstract

Over 150 unique RNA modifications are now known including several nonstandard nucleotides present in the body of messenger RNAs. These modifications can alter a transcript's function and are collectively referred to as the epitrancriptome. Chemically modified nucleoside analogs are poised to play an important role in the study of these epitranscriptomic marks. Introduced chemical features on nucleic acid strands provide unique structures or reactivity that can be used for downstream detection or quantification. Three methods are used in the field to synthesize RNA containing chemically modified nucleoside analogs. Nucleoside analogs can be introduced by metabolic labeling, via polymerases with modified nucleotide triphosphates or via phosphoramidite-based chemical synthesis. In this review, these methods for incorporation of nucleoside analogs will be discussed with specific recently published examples pertaining to the study of the epitranscriptome.

Indexed as

RNA EditingTranscriptomeAdenosineAdenosine DeaminaseAnimalsHumansInosineNucleic Acid ConformationOrganophosphorus CompoundsRibonucleotidesRNA-Binding ProteinsRNA, Double-StrandedRNA, MessengerS-AdenosylmethionineSeleniumStaining and LabelingADARB1 protein, humanADAR protein, humanAdenosineAdenosine DeaminaseInosineN-methyladenosineOrganophosphorus CompoundsphosphoramiditeRibonucleotidesRNA-Binding ProteinsRNA, Double-StrandedRNA, MessengerS-AdenosylmethionineSeleniumADAREpitranscriptomeInosinem(6)AMettl3Nucleoside analog

Identifiers

PMID30827466
PMCPMC6400310

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.