Evidence map›Paper›PMID 33445115›Full record

ReviewCurrent opinion in structural biology2021

Protein-based molecular recognition tools for detecting and profiling RNA modifications.

Steve D Knutson, Jennifer M Heemstra

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

2 authors.

Steve D KnutsonDepartment of Chemistry, Emory University, Atlanta, GA 30322, USA.
Jennifer M HeemstraDepartment of Chemistry, Emory University, Atlanta, GA 30322, USA. Electronic address: jen.heemstra@emory.edu.

Funding

Proteomics CoreU54DK110858 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Anna E Beaudin, JAMES Eric COX · 2016 to 2026
$8.6M
Fluorescent mRNA Labeling Using Self-Alkylating RibozymesR01GM116991 · NIGMS · UNIVERSITY OF UTAH · PI HEEMSTRA, JENNIFER MARGARET · 2016 to 2020
$1.5M
Single-cell quantification of A-to-I RNA editing using multi-sequence capture beadsR21GM134564 · NIGMS · EMORY UNIVERSITY · PI HEEMSTRA, JENNIFER MARGARET, PHILLIPS, JOHN DEARBORN · 2020 to 2021
$438k
NIDDK NIH HHS U54 DK110858NIGMS NIH HHS R01 GM116991NIGMS NIH HHS R21 GM134564
6 · The paper itself

Abstract

RNA undergoes extensive biochemical modification following transcription. In addition to RNA splicing, transcripts are processed by a suite of enzymes that alter the chemical structure of different nucleobases. Broadly termed as 'RNA editing,' these modifications impart significant functional changes to translation, localization, and stability of individual transcripts within the cell. These changes are dynamic and required for a number of critical cellular processes, and dysregulation of these pathways is responsible for several disease states. Accurately detecting, measuring, and mapping different RNA modifications across the transcriptome is vital to understanding their broader functions as well as leveraging these events as diagnostic biomarkers. Here, we review recent advances in profiling several types of RNA modifications, with particular emphasis on adenosine-to-inosine (A-to-I) and N

Indexed as

InosineRNA EditingAdenosineRNATranscriptomeAdenosineInosineRNA

Identifiers

PMID33445115
PMCPMC8272725

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.