Evidence map›Paper›PMID 30700807›Full record

ArticleNature protocols2019

Pipelines for cross-species and genome-wide prediction of long noncoding RNA binding.

Jie Lin, Yujian Wen, Sha He, Xiaoxue Yang, Hai Zhang, Hao Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. LncRNA:DNA Binding Prediction Using LongTarget and Its Revised Version.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Long Noncoding RNAs and Human Liver Disease.Annual review of pathology · 2022
    Review
  13. Computational and structural biotechnology journal · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Frontiers in immunology · 2020
    Article
  20. Review
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 1 institution in 1 country.

Jie Lin *Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Yujian Wen *Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Sha He *Bioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Xiaoxue YangBioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Hai ZhangNetwork and Information Technology Center, Southern Medical University, Guangzhou, China. zhangh@smu.edu.cn.
Hao ZhuBioinformatics Section, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. zhuhao@smu.edu.cn.ORCID http://orcid.org/0000-0001-7384-3840
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abundant long, noncoding RNAs (lncRNAs) in mammals can bind to DNA sequences and recruit histone- and DNA-modifying enzymes to binding sites to epigenetically regulate target genes. However, most lncRNAs' binding motifs and target sites are unknown. The large numbers of lncRNAs and target sites in the whole genome make it infeasible to examine lncRNA binding to DNA purely experimentally. Here, we report a protocol for lncRNA/DNA-binding analysis that is built upon a database containing the GENCODE-annotated human and mouse lncRNAs, the orthologs of these lncRNAs in 17 mammals, and the genome sequences of the 17 mammals. Cross-species and genome-wide lncRNA/DNA-binding analysis begins with and is driven by database search. The predicted DNA-binding motifs and binding sites answer the general question of which lncRNAs may epigenetically regulate which genes, and can be used to identify potential sites for genome and epigenome editing. To use the protocol, preliminary knowledge of the base-pairing rules that guide the binding of noncoding RNAs to DNA to form triplexes, as well as the skills required to use the UCSC Genome Browser, are needed. A genome-wide prediction takes from 2 to 10 d, and the results are sent to users automatically by e-mail. The platform is updated continuously, making it possible to study more lncRNAs and larger genomic regions in less computational time.

Indexed as

GenomeAnimalsBinding SitesComputational BiologyHumansMammalsMiceOligonucleotidesPhylogenyRNA, Long NoncodingSpecies SpecificityOligonucleotidesRNA, Long Noncoding

Identifiers

PMID30700807
OpenAlexW2913771392

What OpenQuestion holds

Textmetadata
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.