Evidence map›Paper›PMID 28425476›Full record

ArticleScientific reports2017

LncRNAs2Pathways: Identifying the pathways influenced by a set of lncRNAs of interest based on a global network propagation method.

Junwei Han, Siyao Liu, Zeguo Sun, Yunpeng Zhang, Fan Zhang, Chunlong Zhang, Desi Shang, Haixiu Yang, Fei Su, Yanjun Xu and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Longitudinal dysregulation of long non-coding RNAs in Parkinson's disease.Experimental biology and medicine (Maywood, N.J.) · 2023
    Article
  6. Article
  7. lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs.Database : the journal of biological databases and curation · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Junwei HanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Siyao LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Zeguo SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Fan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Chunlong ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Desi ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Haixiu YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Fei SuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Yanjun XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.
Chunquan LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Harbin, 150081, P. R. China.
Huan RenDepartment of immunology, Harbin Medical University, Harbin 150081, P. R. China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have been demonstrated to play essential roles in diverse cellular processes and biological functions. Exploring the functions associated with lncRNAs may help provide insight into their underlying biological mechanisms. The current methods primarily focus on investigating the functions of individual lncRNAs; however, essential biological functions may be affected by the combinatorial effects of multiple lncRNAs. Here, we have developed a novel computational method, LncRNAs2Pathways, to identify the functional pathways influenced by the combinatorial effects of a set of lncRNAs of interest based on a global network propagation algorithm. A new Kolmogorov-Smirnov-like statistical measure weighted by the network propagation score, which considers the expression correlation among lncRNAs and coding genes, was used to evaluate the biological pathways influenced by the lncRNAs of interest. We have described the LncRNAs2Pathways methodology and illustrated its effectiveness by analyzing three lncRNA sets associated with glioma, prostate and pancreatic cancers. We further analyzed the reproducibility and robustness and compared our results with those of two other methods. Based on these analyses, we showed that LncRNAs2Pathways can effectively identify the functional pathways associated with lncRNA sets. Finally, we implemented this method as a freely available R-based tool.

Indexed as

Gene Expression Regulation, NeoplasticAlgorithmsComputational BiologyGene Regulatory NetworksGliomaHumansMaleNeoplasmsPancreatic NeoplasmsProstatic NeoplasmsRNA, Long NoncodingSignal TransductionRNA, Long Noncoding

Identifiers

PMID28425476
PMCPMC5397852

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.