Evidence map›Paper›PMID 26886852›Full record

ArticlePloS one2016

Comprehensive Expression Profiling and Functional Network Analysis of p53-Regulated MicroRNAs in HepG2 Cells Treated with Doxorubicin.

Yalan Yang, Wenrong Liu, Ruofan Ding, Lili Xiong, Rongkun Dou, Yiming Zhang, Zhiyun Guo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Identification and Analysis of p53-Regulated Enhancers in Hepatic Carcinoma.Frontiers in bioengineering and biotechnology · 2020
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. TP53/MicroRNA Interplay in Hepatocellular Carcinoma.International journal of molecular sciences · 2016
    Review
  13. 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

7 authors at 1 institution in 1 country.

Yalan YangSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Wenrong LiuSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Ruofan DingSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Lili XiongSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Rongkun DouSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Yiming ZhangSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Zhiyun GuoSchool of Life Sciences and Bioengineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China.
Southwest Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acting as a sequence-specific transcription factor, p53 tumor suppressor involves in a variety of biological processes after being activated by cellular stresses such as DNA damage. In recent years, microRNAs (miRNAs) have been confirmed to be regulated by p53 in several cancer types. However, it is still unclear how miRNAs orchestrate their regulation and function in p53 network after p53 activation in hepatocellular carcinoma (HCC). In this study, we used small RNA sequencing and systematic bioinformatic analysis to characterize the regulatory networks of differentially expressed miRNAs after the p53 activation in HepG2. Here, 33 miRNAs significantly regulated by p53 (12 up-regulated and 21 down-regulated) were detected between the doxorubicin-treated and untreated HepG2 cells in two biological replicates for small RNA sequencing and 8 miRNAs have been reported previously to be associated with HCC. Gene ontology (GO) and KEGG pathway enrichment analysis showed that 87.9% (29 out of 33) and 90.9% (30 out of 33) p53-regulated miRNAs were involved in p53-related biological processes and pathways with significantly low p-value, respectively. Remarkably, 18 out of 33 p53-regulated miRNAs were identified to contain p53 binding sites around their transcription start sites (TSSs). Finally, comprehensive p53-miRNA regulatory networks were constructed and analyzed. These observations provide a new insight into p53-miRNA co-regulatory network in the context of HCC.

Indexed as

Gene Expression ProfilingBinding SitesChromosomes, HumanCluster AnalysisComputational BiologyDNA DamageDoxorubicinGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHep G2 CellsHumansMicroRNAsNucleotidesPromoter Regions, GeneticSequence Analysis, RNADoxorubicinMicroRNAsNucleotidesTumor Suppressor Protein p53

Identifiers

PMID26886852
PMCPMC4757586
OpenAlexW2287336279

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.