Evidence map›Paper›PMID 29194536›Full record

ArticleGigaScience2018

circlncRNAnet: an integrated web-based resource for mapping functional networks of long or circular forms of noncoding RNAs.

Shao-Min Wu, Hsuan Liu, Po-Jung Huang, Ian Yi-Feng Chang, Chi-Ching Lee, Chia-Yu Yang, Wen-Sy Tsai, Bertrand Chin-Ming Tan

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. The Theory ofGenes · 2022
    Article
  6. Article
  7. Article
  8. Circular RNAs in cardiovascular diseases.Pharmacology & therapeutics · 2022
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review on circular RNAs and new insights into their roles in cancer.Computational and structural biotechnology journal · 2021
    Review
  18. Review
  19. 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

8 authors at 2 institutions in 1 country.

Shao-Min WuGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Guishan, Taoyuan, Taiwan.
Hsuan LiuGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Guishan, Taoyuan, Taiwan.
Po-Jung HuangMolecular Medicine Research Center, Chang Gung University, Guishan, Taoyuan, Taiwan.
Ian Yi-Feng ChangMolecular Medicine Research Center, Chang Gung University, Guishan, Taoyuan, Taiwan.
Chi-Ching LeeDepartment of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Guishan, Taoyuan, Taiwan.
Chia-Yu YangGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Guishan, Taoyuan, Taiwan.
Wen-Sy TsaiDivision of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.
Bertrand Chin-Ming TanGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Guishan, Taoyuan, Taiwan.
Chang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite their lack of protein-coding potential, long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) have emerged as key determinants in gene regulation, acting to fine-tune transcriptional and signaling output. These noncoding RNA transcripts are known to affect expression of messenger RNAs (mRNAs) via epigenetic and post-transcriptional regulation. Given their widespread target spectrum, as well as extensive modes of action, a complete understanding of their biological relevance will depend on integrative analyses of systems data at various levels. Findings: While a handful of publicly available databases have been reported, existing tools do not fully capture, from a network perspective, the functional implications of lncRNAs or circRNAs of interest. Through an integrated and streamlined design, circlncRNAnet aims to broaden the understanding of ncRNA candidates by testing in silico several hypotheses of ncRNA-based functions, on the basis of large-scale RNA-seq data. This web server is implemented with several features that represent advances in the bioinformatics of ncRNAs: (1) a flexible framework that accepts and processes user-defined next-generation sequencing-based expression data; (2) multiple analytic modules that assign and productively assess the regulatory networks of user-selected ncRNAs by cross-referencing extensively curated databases; (3) an all-purpose, information-rich workflow design that is tailored to all types of ncRNAs. Outputs on expression profiles, co-expression networks and pathways, and molecular interactomes, are dynamically and interactively displayed according to user-defined criteria. Conclusions: In short, users may apply circlncRNAnet to obtain, in real time, multiple lines of functionally relevant information on circRNAs/lncRNAs of their interest. In summary, circlncRNAnet provides a "one-stop" resource for in-depth analyses of ncRNA biology. circlncRNAnet is freely available at http://app.cgu.edu.tw/circlnc/.

Indexed as

Epigenesis, GeneticGene Regulatory NetworksUser-Computer InterfaceComputational BiologyDatabases, Nucleic AcidHigh-Throughput Nucleotide SequencingHumansInternetMicroRNAsRNARNA, CircularRNA, Long NoncodingRNA, MessengerRNA Processing, Post-TranscriptionalSequence Analysis, RNATranscription, GeneticMicroRNAsRNARNA, CircularRNA, Long NoncodingRNA, MessengercircRNAsco-expression networklncRNAsmolecular interactome

Identifiers

PMID29194536
PMCPMC5765557
OpenAlexW2770170730

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.