Evidence map›Paper›PMID 28336307›Full record

ReviewMethods (San Diego, Calif.)2017

Measuring RNA structure transcriptome-wide with icSHAPE.

Dalen Chan, Chao Feng, Robert C Spitale

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Dalen ChanDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States.
Chao FengDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States.
Robert C SpitaleDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA 92697, United States; Department of Chemistry, University of California, Irvine, Irvine, CA 92697, United States. Electronic address: rspitale@uci.edu.

Funding

Cracking the RNA Localization CodeDP2GM119164 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SPITALE, ROBERT C · 2015 to 2015
$2.2M
Epitranscriptomic mechanisms of fear-related learning and memoryR01MH109588 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI SPITALE, ROBERT C · 2016 to 2020
$1.9M
NIGMS NIH HHS DP2 GM119164NIMH NIH HHS R01 MH109588
6 · The paper itself

Abstract

RNA molecules can be found at the heart of nearly every aspect of gene regulation: from gene expression to protein translation. The ability of RNA molecules to fold into intricate structures guides their function. Chemical methods to measure RNA structure have been part of the RNA biologists toolkit for several decades. These methods, although often cumbersome and difficult to perform on large RNAs, are notable for their accuracy and precision of structural measurements. Recent extension of these methods to transcriptome-wide analyses has opened the door to interrogating the structure of complete RNA molecules inside cells. Within this manuscript we describe the biochemical basis for the methodology behind a novel technology, icSHAPE, which measures RNA flexibility and single-strandedness in RNA. Novel methods such as icSHAPE have greatly expanded our understanding of RNA function and have paved the way to expansive analyses of large groups of RNA structures as they function inside the native environment of the cell.

Indexed as

Nucleic Acid ConformationTranscriptomeClick ChemistryHigh-Throughput Nucleotide SequencingMethylationRNARNA-Binding ProteinsSequence Analysis, RNARNARNA-Binding ProteinsChemical probingicSHAPERNA sequencingRNA structure

Identifiers

PMID28336307
PMCPMC6193560

What OpenQuestion holds

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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 OpenQuestion graph.