Evidence map›Paper›PMID 29053596›Full record

ReviewVaccines2017

Elucidating the Role of Host Long Non-Coding RNA during Viral Infection: Challenges and Paths Forward.

David J Lemler, Hayden N Brochu, Fang Yang, Erin A Harrell, Xinxia Peng

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2017. 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
0.6field-weighted citation impact, top 35% 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, 13 citations in OpenAlex.

  1. Review
  2. Human long noncoding RNAJournal of virology · 2025
    Article
  3. Human long noncoding RNA,bioRxiv : the preprint server for biology · 2024
    Article
  4. lncRNAs in T lymphocytes: RNA regulation at the heart of the immune response.American journal of physiology. Cell physiology · 2021
    Review
  5. Article
  6. Article
  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

5 authors at 1 institution in 1 country.

David J LemlerDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA. djlemler@ncsu.edu.ORCID 0000-0002-2295-7618
Hayden N BrochuDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA. hnathan@ncsu.edu.
Fang YangDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA. fyang6@ncsu.edu.
Erin A HarrellDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA. eaegan@ncsu.edu.
Xinxia PengDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607, USA. xpeng5@ncsu.edu.
North Carolina State University · US

Funding

Impact of Gastrointestinal Microbiome on the Host Response to an Effector-Memory T-Cell AIDS Vaccine and Multiple Low-Dose ChallengeR21AI120713 · NIAID · UNIVERSITY OF WASHINGTON · PI PENG, XINXIA · 2015 to 2016
$445k
Identifying cellular long non-coding RNAs as targets for HIV interventionR21AI125040 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI PENG, XINXIA · 2016 to 2017
$431k
NIAID NIH HHS R21 AI120713NIAID NIH HHS R21 AI125040
6 · The paper itself

Abstract

Research over the past decade has clearly shown that long non-coding RNAs (lncRNAs) are functional. Many lncRNAs can be related to immunity and the host response to viral infection, but their specific functions remain largely elusive. The vast majority of lncRNAs are annotated with extremely limited knowledge and tend to be expressed at low levels, making ad hoc experimentation difficult. Changes to lncRNA expression during infection can be systematically profiled using deep sequencing; however, this often produces an intractable number of candidate lncRNAs, leaving no clear path forward. For these reasons, it is especially important to prioritize lncRNAs into high-confidence "hits" by utilizing multiple methodologies. Large scale perturbation studies may be used to screen lncRNAs involved in phenotypes of interest, such as resistance to viral infection. Single cell transcriptome sequencing quantifies cell-type specific lncRNAs that are less abundant in a mixture. When coupled with iterative experimental validations, new computational strategies for efficiently integrating orthogonal high-throughput data will likely be the driver for elucidating the functional role of lncRNAs during viral infection. This review highlights new high-throughput technologies and discusses the potential for integrative computational analysis to streamline the identification of infection-related lncRNAs and unveil novel targets for antiviral therapeutics.

Indexed as

high-throughput analysislncRNAnext-generation sequencingRNA-seqtranscriptomics

Identifiers

PMID29053596
PMCPMC5748604
OpenAlexW2767184075

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.