Evidence mapPaperPMID 30320389Full record

ArticleMolecular medicine reports2018

High‑throughput sequencing reveals differentially expressed lncRNAs and circRNAs, and their associated functional network, in human hypertrophic scars.

Min Li, Jian Wang, Dewu Liu, Heping Huang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Beyond the Code: Noncoding RNAs in Skin Wound Healing.Cold Spring Harbor perspectives in biology · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Min LiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Jian WangDepartment of Gastroenterology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Dewu LiuDepartment of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Heping HuangDepartment of Plastic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi 330006, P.R. China.
Nanchang University · CNJiangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence suggests that long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) are involved in the occurrence and development of tumors and fibrotic diseases. However, the integrated analysis of lncRNA and circRNA expression, alongside associated co‑expression and competing endogenous RNA (ceRNA) networks, has not yet been performed in human hypertrophic scars (HS). The present study compared the expression levels of lncRNAs, circRNAs and mRNAs in human HS and normal skin tissues by high‑throughput RNA sequencing. Numerous differentially expressed lncRNAs, circRNAs and mRNAs were detected. Subsequently, five aberrantly expressed lncRNAs and mRNAs, and six circRNAs were measured to verify the RNA sequencing results by reverse transcription‑quantitative polymerase chain reaction. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for the dysregulated genes, in order to elucidate their principal functions. In addition, a coding‑noncoding gene co‑expression (CNC) network and ceRNA network were constructed for specific significantly altered genes. The CNC network analysis suggested that AC048380.1 and LINC00299 were associated with metastasis‑related genes, including inhibin subunit βA (INHBA), SMAD family member 7 (SMAD7), collagen type I α1 chain (COL1A1), transforming growth factor β3 (TGFβ3) and MYC proto‑oncogene, bHLH transcription factor (MYC). Inhibitor of DNA binding 2 was associated with the lncRNAs cancer susceptibility 11, TGFβ3‑antisense RNA 1 (AS1), INHBA‑AS1, AC048380.1, LINC00299 and LINC01969. Circ‑Chr17:50187014_50195976_‑, circ‑Chr17:50189167_50194626_‑, circ‑Chr17:50189167_ 50198002_‑ and circ‑Chr17:50189858_50195330_‑ were also associated with INHBA, SMAD7, COL1A1, TGFβ3 and MYC. COL1A1 and TGFβ3 were associated with circ‑Chr9:125337017_125337591_+ and circ‑Chr12:120782654_120784593_‑. The ceRNA network indicated that INHBA‑AS1 and circ‑Chr9:125337017_125337591_+ were ceRNAs of microRNA‑182‑5p targeting potassium voltage‑gated channel subfamily J member 6, ADAM metallopeptidase with thrombospondin type 1 motif 18, SRY‑box 11, MAGE family member L2, matrix metallopeptidase 16, thrombospondin 2, phosphodiesterase 11A and collagen type V a1 chain. These findings suggested that lncRNAs and circRNAs may act as ceRNAs, which are implicated in the pathophysiology and development of human HS, and lay a foundation for further insight into the novel regulatory mechanism of lncRNAs and circRNAs in hypertrophic scarring.

Indexed as

Gene Expression RegulationGene Regulatory NetworksAdultCicatrix, HypertrophicComputational BiologyFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedReproducibility of ResultsRNARNA, CircularRNA, Long NoncodingMicroRNAsRNARNA, CircularRNA, Long NoncodingRNA, Messenger

Identifiers

PMID30320389
PMCPMC6236202
OpenAlexW2898080597

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.