Evidence map›Paper›PMID 30510063›Full record

ReviewCold Spring Harbor perspectives in biology2018

The RNA Base-Pairing Problem and Base-Pairing Solutions.

Zhipeng Lu, Howard Y Chang

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  19. Review
  20. A New View of Genome Organization Through RNA Directed Interactions.Frontiers in cell and developmental biology · 2020
    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.

Zhipeng LuCenter for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305.ORCID 0000-0001-5124-7546
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305.ORCID 0000-0002-9459-4393

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2018
$15.2M
Structural Motifs in RNAR01HG004361 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2007 to 2018
$4.7M
Decoding the RNA Structurome: Method Development and Function Analysis.R00HG009662 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, ZHIPENG · 2019 to 2021
$821k
Decoding the RNA structurome: method development and function analysisK99HG009662 · NHGRI · STANFORD UNIVERSITY · PI LU, ZHIPENG · 2017 to 2018
$149k
NHGRI NIH HHS K99 HG009662NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R00 HG009662NHGRI NIH HHS R01 HG004361
6 · The paper itself

Abstract

RNA molecules are folded into structures and complexes to perform a wide variety of functions. Determination of RNA structures and their interactions is a fundamental problem in RNA biology. Most RNA molecules in living cells are large and dynamic, posing unique challenges to structure analysis. Here we review progress in RNA structure analysis, focusing on methods that use the "cross-link, proximally ligate, and sequence" principle for high-throughput detection of base-pairing interactions in living cells. Beginning with a comparison of commonly used methods in structure determination and a brief historical account of psoralen cross-linking studies, we highlight the important features of cross-linking methods and new biological insights into RNA structures and interactions from recent studies. Further improvement of these cross-linking methods and application to previously intractable problems will shed new light on the mechanisms of the "modern RNA world."

Indexed as

Base PairingGene Expression RegulationNucleic Acid ConformationRNARNA

Identifiers

PMID30510063
PMCPMC6280703

What OpenQuestion 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 OpenQuestion graph.