Evidence map›Paper›PMID 29069510›Full record

ArticleNucleic acids research2018

Lnc2Meth: a manually curated database of regulatory relationships between long non-coding RNAs and DNA methylation associated with human disease.

Hui Zhi, Xin Li, Peng Wang, Yue Gao, Baoqing Gao, Dianshuang Zhou, Yan Zhang, Maoni Guo, Ming Yue, Weitao Shen and 3 more

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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  3. Review
  4. Long noncoding RNAs in ubiquitination, protein degradation, and human diseases.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
    Review
  5. Article
  6. Review
  7. Long non‑coding RNAs in multiple myeloma (Review).International journal of oncology · 2023
    Review
  8. Article
  9. Epigenetic modifications: Allusive clues of lncRNA functions in plants.Computational and structural biotechnology journal · 2023
    Review
  10. Databases and prospects of dynamic gene regulation in eukaryotes: A mini review.Computational and structural biotechnology journal · 2023
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. LncRNAs and Available Databases.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  18. Article
  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

13 authors at 1 institution in 1 country.

Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xin LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Baoqing GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Dianshuang ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Maoni GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ming YueCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Weitao ShenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Lianhong JinAffiliation Department of Histology and Embryology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lnc2Meth (http://www.bio-bigdata.com/Lnc2Meth/), an interactive resource to identify regulatory relationships between human long non-coding RNAs (lncRNAs) and DNA methylation, is not only a manually curated collection and annotation of experimentally supported lncRNAs-DNA methylation associations but also a platform that effectively integrates tools for calculating and identifying the differentially methylated lncRNAs and protein-coding genes (PCGs) in diverse human diseases. The resource provides: (i) advanced search possibilities, e.g. retrieval of the database by searching the lncRNA symbol of interest, DNA methylation patterns, regulatory mechanisms and disease types; (ii) abundant computationally calculated DNA methylation array profiles for the lncRNAs and PCGs; (iii) the prognostic values for each hit transcript calculated from the patients clinical data; (iv) a genome browser to display the DNA methylation landscape of the lncRNA transcripts for a specific type of disease; (v) tools to re-annotate probes to lncRNA loci and identify the differential methylation patterns for lncRNAs and PCGs with user-supplied external datasets; (vi) an R package (LncDM) to complete the differentially methylated lncRNAs identification and visualization with local computers. Lnc2Meth provides a timely and valuable resource that can be applied to significantly expand our understanding of the regulatory relationships between lncRNAs and DNA methylation in various human diseases.

Indexed as

Databases, Nucleic AcidDNA MethylationDiseaseGenetic Association StudiesHumansInternetRNA, Long NoncodingUser-Computer InterfaceRNA, Long Noncoding

Identifiers

PMID29069510
PMCPMC5753220
OpenAlexW2782258988

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.