Evidence map›Paper›PMID 31950188›Full record

ArticleDatabase : the journal of biological databases and curation2020

miR-TV: an interactive microRNA Target Viewer for microRNA and target gene expression interrogation for human cancer studies.

Chao-Yu Pan, Wen-Chang Lin

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Memory-promoting function of miR-379-5p attenuates CD8Journal for immunotherapy of cancer · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Extracellular vesicles miR-210 as a potential biomarker for diagnosis and survival prediction of oral squamous cell carcinoma patients.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2022
    Article
  14. Observational
  15. Review
  16. Article
  17. Plasma-Derived miRNA-222 as a Candidate Marker for Papillary Thyroid Cancer.International journal of molecular sciences · 2020
    Article
  18. 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

2 authors at 2 institutions in 1 country.

Chao-Yu PanInstitute of Biomedical Informatics, National Yang-Ming University, Taipei 112, Taiwan.
Wen-Chang LinInstitute of Biomedical Informatics, National Yang-Ming University, Taipei 112, Taiwan.
Institute of Biomedical Sciences, Academia Sinica · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have been identified in many organisms, and they are essential for gene expression regulation in many critical cellular processes. The expression levels of these genes and miRNAs are closely associated with the progression of diseases such as cancers. Furthermore, survival analysis is a significant indicator for evaluating the criticality of these cellular processes in cancer progression. We established a web tool, miRNA Target Viewer (miR-TV), which integrates 5p-arm and 3p-arm miRNA expression profiles, mRNA target gene expression levels in healthy and cancer populations, and clinical data of cancer patients and their survival information. The developed miR-TV obtained miRNA-seq, mRNA-seq and clinical data from the Cancer Genome Atlas and potential miRNA target gene predictions from miRDB, targetScan and miRanda. The data presentation was implemented using the D3 javascript toolkit. The D3 toolkit is frequently used to provide an easy-to-use interactive interface. Our miR-TV provides a user-friendly and interactive interface, which can be beneficial for biomedical researchers to freely interrogate miRNA expression information and their potential target genes. We believe that such a data visualization bioinformatics tool is excellent for obtaining information from massive biological data. Database URL: http://mirtv.ibms.sinica.edu.tw.

Indexed as

Databases, GeneticSoftwareComputational BiologyGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsMicroRNAs

Identifiers

PMID31950188
PMCPMC6966094
OpenAlexW3000554137

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.