Evidence map›Paper›PMID 29846699›Full record

ArticleNucleic acids research2018

Computational analysis of ribonomics datasets identifies long non-coding RNA targets of γ-herpesviral miRNAs.

Sunantha Sethuraman, Merin Thomas, Lauren A Gay, Rolf Renne

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 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
1.4field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  11. Integrative approaches for analysis of mRNA and microRNA high-throughput data.Computational and structural biotechnology journal · 2021
    Review
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  13. Review
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  15. Article
  16. Article
  17. Genome-wide methods for investigating long noncoding RNAs.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2019
    Review
  18. Review
  19. Review
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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

4 authors at 1 institution in 1 country.

Sunantha SethuramanDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610, USA.
Merin ThomasDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610, USA.
Lauren A GayDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610, USA.
Rolf RenneDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610, USA.
University of Florida · US

Funding

"Project 3" MHV68 IncRNA/miRNA interaction in latency and lympomagenesisP01CA214091 · NCI · UNIVERSITY OF FLORIDA · PI ERIK K FLEMINGTON · 2017 to 2026
$15.9M
Studying the role of KSHV-encoded miRNAsR01CA119917 · NCI · UNIVERSITY OF FLORIDA · PI RENNE, ROLF F · 2008 to 2017
$3.2M
NCI NIH HHS P01 CA214091NCI NIH HHS R01 CA119917
6 · The paper itself

Abstract

Ribonomics experiments involving crosslinking and immuno-precipitation (CLIP) of Ago proteins have expanded the understanding of the miRNA targetome of several organisms. These techniques, collectively referred to as CLIP-seq, have been applied to identifying the mRNA targets of miRNAs expressed by Kaposi's Sarcoma-associated herpes virus (KSHV) and Epstein-Barr virus (EBV). However, these studies focused on identifying only those RNA targets of KSHV and EBV miRNAs that are known to encode proteins. Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are also targeted by miRNAs. In this study, we performed a systematic re-analysis of published datasets from KSHV- and EBV-driven cancers. We used CLIP-seq data from lymphoma cells or EBV-transformed B cells, and a crosslinking, ligation and sequencing of hybrids dataset from KSHV-infected endothelial cells, to identify novel lncRNA targets of viral miRNAs. Here, we catalog the lncRNA targetome of KSHV and EBV miRNAs, and provide a detailed in silico analysis of lncRNA-miRNA binding interactions. Viral miRNAs target several hundred lncRNAs, including a subset previously shown to be aberrantly expressed in human malignancies. In addition, we identified thousands of lncRNAs to be putative targets of human miRNAs, suggesting that miRNA-lncRNA interactions broadly contribute to the regulation of gene expression.

Indexed as

Argonaute ProteinsB-LymphocytesCell Line, TumorCells, CulturedComputational BiologyEndothelial CellsGene Expression RegulationHerpesvirus 4, HumanHerpesvirus 8, HumanHumansImmunoprecipitationMicroRNAsRNA, Long NoncodingRNA, ViralArgonaute ProteinsMicroRNAsRNA, Long NoncodingRNA, Viral

Identifiers

PMID29846699
PMCPMC6144796
OpenAlexW2807186452

What OpenQuestion holds

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LicenceCC BY-NC
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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.