Evidence map›Paper›PMID 24995316›Full record

ArticleBioMed research international2014

Large-scale investigation of human TF-miRNA relations based on coexpression profiles.

Chia-Hung Chien, Yi-Fan Chiang-Hsieh, Ann-Ping Tsou, Shun-Long Weng, Wen-Chi Chang, Hsien-Da Huang

Abstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Identifying the Soybean microRNAs Related toInternational journal of molecular sciences · 2023
    Article
  2. Article
  3. Identification and Analysis ofFrontiers in aging neuroscience · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. AtmiRNET: a web-based resource for reconstructing regulatory networks of Arabidopsis microRNAs.Database : the journal of biological databases and curation · 2015
    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

6 authors.

Chia-Hung ChienInstitute of Tropical Plant Sciences, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-3844-3275
Yi-Fan Chiang-HsiehInstitute of Tropical Plant Sciences, National Cheng Kung University, Tainan 701, Taiwan.
Ann-Ping TsouDepartment of Biotechnology and Laboratory Science in Medicine, National Yang-Ming University, Taipei 112, Taiwan.
Shun-Long WengMackay Medicine, Nursing and Management College, Taipei 112, Taiwan ; Department of Medicine, Mackay Medical College, New Taipei City 252, Taiwan ; Department of Obstetrics and Gynecology, Hsinchu Mackay Memorial Hospital, Hsinchu 300, Taiwan.ORCID 0000-0002-2297-1225
Wen-Chi ChangInstitute of Tropical Plant Sciences, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-0347-1516
Hsien-Da HuangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan ; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan ; Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 807, Taiwan ; Institute of Biomedical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions or pathways. Thus, how miRNA genes are transcriptionally regulated has been highlighted as well as target recognition in recent years. In this study, a large-scale investigation of novel cis- and trans-elements was undertaken to further determine TF-miRNA regulatory relations, which are necessary to unravel the transcriptional regulation of miRNA genes. Based on miRNA and annotated gene expression profiles, the term "coTFBS" was introduced to detect common transcription factors and the corresponding binding sites within the promoter regions of each miRNA and its coexpressed annotated genes. The computational pipeline was successfully established to filter redundancy due to short sequence motifs for TFBS pattern search. Eventually, we identified more convinced TF-miRNA regulatory relations for 225 human miRNAs. This valuable information is helpful in understanding miRNA functions and provides knowledge to evaluate the therapeutic potential in clinical research. Once most expression profiles of miRNAs in the latest database are completed, TF candidates of more miRNAs can be explored by this filtering approach in the future.

Indexed as

Computational BiologyGene Regulatory NetworksBinding SitesGene Expression RegulationGenome, HumanHumansMicroRNAsMolecular Sequence AnnotationTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID24995316
PMCPMC4068100

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Registered trials

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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.