Evidence map›Paper›PMID 35413291›Full record

ReviewThe Journal of biological chemistry2022

Next-generation sequencing: A new avenue to understand viral RNA-protein interactions.

Yiyang Zhou, Stephanea L Sotcheff, Andrew L Routh

Open access · goldAbstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. mRNA Fragmentation Pattern Detected by SHAPE.Current issues in molecular biology · 2024
    Article
  6. Review
  7. 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 at 1 institution in 1 country.

Yiyang ZhouDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA. Electronic address: yizhou@utmb.edu.
Stephanea L SotcheffDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA.
Andrew L RouthDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA; Sealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, Texas, USA; Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, Texas, USA.
The University of Texas Medical Branch at Galveston · US

Funding

X-ray Crystallographic Fragment Screening CoreU54AI150472 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI OLSON, ARTHUR J. · 2019 to 2021
$15.7M
Research Project 3: Role of Posttranslational Protein Modifications in the Pathogenesis of Ebola Virus DiseaseP01AI150585 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BUKREYEV, ALEXANDER · 2021 to 2025
$11.3M
Defective viral RNAs promote a pro-viral stress response via host non-coding RNAsR21AI151725 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ROUTH, ANDREW LAURENCE · 2020 to 2021
$435k
NIAID NIH HHS P01 AI150585NIAID NIH HHS R21 AI151725NIAID NIH HHS U54 AI150472
6 · The paper itself

Abstract

The genomes of RNA viruses present an astonishing source of both sequence and structural diversity. From intracellular viral RNA-host interfaces to interactions between the RNA genome and structural proteins in virus particles themselves, almost the entire viral lifecycle is accompanied by a myriad of RNA-protein interactions that are required to fulfill their replicative potential. It is therefore important to characterize such rich and dynamic collections of viral RNA-protein interactions to understand virus evolution and their adaptation to their hosts and environment. Recent advances in next-generation sequencing technologies have allowed the characterization of viral RNA-protein interactions, including both transient and conserved interactions, where molecular and structural approaches have fallen short. In this review, we will provide a methodological overview of the high-throughput techniques used to study viral RNA-protein interactions, their biochemical mechanisms, and how they evolved from classical methods as well as one another. We will discuss how different techniques have fueled virus research to characterize how viral RNA and proteins interact, both locally and on a global scale. Finally, we will present examples on how these techniques influence the studies of clinically important pathogens such as HIV-1 and SARS-CoV-2.

Indexed as

High-Throughput Nucleotide SequencingProteinsRNA, ViralHIV-1Host Microbial InteractionsHumansSARS-CoV-2ProteinsRNA, ViralcrosslinkingHITS-CLIPHIV-1human herpesvirusnext-generation sequencingPAR-CLIPRNA-protein interactionsSARS-CoV-2viral RNAvPAR-CL

Identifiers

PMID35413291
PMCPMC8994257
OpenAlexW4223612328

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.