Evidence map›Paper›PMID 23212403›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2013

Microarray-based analysis of gene regulation by transcription factors and microRNAs in glioma.

Junchi Yu, Xuejian Cai, Jianqing He, Wei Zhao, Qiang Wang, Bin Liu

Abstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.2field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Role of MicroRNAs in Malignant Glioma.Chinese medical journal · 2015
    Review
  11. Article
  12. Article
  13. Overexpression of microRNA-155 predicts poor prognosis in glioma patients.Medical oncology (Northwood, London, England) · 2014
    Article
  14. miR-125b inhibits Connexin43 and promotes glioma growth.Cellular and molecular neurobiology · 2013
    Article
  15. MicroRNA and transcription factor mediated regulatory network for ovarian cancer: regulatory network of ovarian cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    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

6 authors.

Junchi YuDepartment of Neurosurgery, The Traumatic Brain Injury Center in the Military People's Liberation Army101 Hospital, Wuxi, Jiangsu, 214000, China.
Xuejian Cai
Jianqing He
Wei Zhao
Qiang Wang
Bin Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factor (TF) and microRNA (miRNA) are two best characterized gene regulators that have been found to play an important role in gene regulation. However, high throughput screening the interaction relationships between transcription factors, microRNAs, and target genes in gliomas remains rare. Using GSE16666 and GSE13091 datasets downloaded from Gene Expression Omnibus data, we first screened the differentially expressed genes in gliomas. We explored the regulation relationship among TFs, miRNAs and target genes by different algorithms. The underlying molecular mechanisms of these crucial target genes were investigated by Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Our study has developed three regulation relationships between two TFs and three miRNAs, including TP53/hsa-mir-155, TP53/hsa-mir-125b, and KLF2/hsa-mir-126. In addition, we also constructed a regulation network of the target genes by transcription factors and miRNAs. Some of them had been demonstrated to be involved in glioma progression via various pathways. For example, ATP2B2 target gene could be regulated by has-mir-181a to involve in calcium signaling pathway. RB1 could be regulated by has-miR-26a to participate in pathways in cancer. Smad7 could be regulated by has-miR-21 via intracellular TGF-β signal transduction. We constructed a comprehensive regulatory network which was found to play an important role in gliomas progression.

Indexed as

Gene Expression Regulation, NeoplasticGene ExpressionGene Regulatory NetworksGliomaHumansMicroRNAsOligonucleotide Array Sequence AnalysisTranscription FactorsTumor Cells, CulturedMicroRNAsTranscription Factors

Identifiers

PMID23212403
OpenAlexW1995295047

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.