Evidence map›Paper›PMID 29206165›Full record

ReviewGenes2017

Current Research on Non-Coding Ribonucleic Acid (RNA).

Jing Wang, David C Samuels, Shilin Zhao, Yu Xiang, Ying-Yong Zhao, Yan Guo

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The role of ferroptosis-related non-coding RNA in liver fibrosis.Frontiers in cell and developmental biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Profile ofInternational journal of molecular sciences · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Role ofPhysiological reviews · 2021
    Review
  19. Article
  20. 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

6 authors at 4 institutions in 2 countries.

Jing WangDepartment of Biostatistics, Vanderbilt University, Medical Center, Nashville, TN 37232, USA. jing.wang.1@vanderbilt.edu.
David C SamuelsDepartment of Molecular Physiology and Biophysics, Vanderbilt Genetics Institute, Vanderbilt University Medical School, Nashville, TN 37232, USA. david.c.samuels@vanderbilt.edu.
Shilin ZhaoDepartment of Biostatistics, Vanderbilt University, Medical Center, Nashville, TN 37232, USA. Shilin.zhao.1@vanderbilt.edu.
Yu XiangDepartment of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Yu.Xiang@uth.tmc.edu.
Ying-Yong ZhaoKey Laboratory of Resource Biology and Biotechnology in Western China, School of Life Sciences, Northwest University, Xi'an 710069, Shaanxi, China. zyy@nwu.edu.cn.
Yan GuoKey Laboratory of Resource Biology and Biotechnology in Western China, School of Life Sciences, Northwest University, Xi'an 710069, Shaanxi, China. yanguo1978@gmail.com.
Northwest University · CNVanderbilt University Medical Center · USThe University of Texas Health Science Center at Houston · USVanderbilt University · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
NCI NIH HHS P30 CA118100
6 · The paper itself

Abstract

Non-coding ribonucleic acid (RNA) has without a doubt captured the interest of biomedical researchers. The ability to screen the entire human genome with high-throughput sequencing technology has greatly enhanced the identification, annotation and prediction of the functionality of non-coding RNAs. In this review, we discuss the current landscape of non-coding RNA research and quantitative analysis. Non-coding RNA will be categorized into two major groups by size: long non-coding RNAs and small RNAs. In long non-coding RNA, we discuss regular long non-coding RNA, pseudogenes and circular RNA. In small RNA, we discuss miRNA, transfer RNA, piwi-interacting RNA, small nucleolar RNA, small nuclear RNA, Y RNA, single recognition particle RNA, and 7SK RNA. We elaborate on the origin, detection method, and potential association with disease, putative functional mechanisms, and public resources for these non-coding RNAs. We aim to provide readers with a complete overview of non-coding RNAs and incite additional interest in non-coding RNA research.

Indexed as

detectiondiseasefunctional mechanismlong non-coding RNAresourcesmall RNA

Identifiers

PMID29206165
PMCPMC5748684
OpenAlexW2775741832

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.