Evidence map›Paper›PMID 31939611›Full record

ArticleInternational journal of molecular medicine2020

tRNA‑derived small RNAs: A novel class of small RNAs in human hypertrophic scar fibroblasts.

Yaping Zhang, Qin Deng, Longxiang Tu, Dan Lv, Dewu Liu

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-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

16 citing papers in PubMed, 15 citations in OpenAlex.

  1. The dark genome in cardiovascular medicine.European heart journal · 2026
    Review
  2. Article
  3. Transfer RNA Fragments in Diseases of Sensory Organs.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. An Insight into miR-1290: An Oncogenic miRNA with Diagnostic Potential.International journal of molecular sciences · 2022
    Review
  11. Review
  12. Article
  13. [Expression and effect of microRNA-627 in human hypertrophic scar].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021
    Article
  14. [Effects and mechanism of eleutheroside E on the growth of human hypertrophic scar fibroblasts].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021
    Article
  15. Article
  16. miRTissueBMC bioinformatics · 2020
    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

5 authors at 2 institutions in 1 country.

Yaping ZhangInstitute of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Qin DengInstitute of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Longxiang TuInstitute of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Dan LvInstitute of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Dewu LiuInstitute of Burns, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

tRNA‑derived small RNAs (tsRNAs) have been shown to play regulatory roles in many physiological and pathological processes. However, their roles in hypertrophic scars remain unclear. The present study investigated differentially expressed tsRNAs in human hypertrophic scar fibroblasts and normal skin fibroblasts via high‑throughput sequencing. Several dysregulated tsRNAs were validated by reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, target prediction, coexpression networks and competing endogenous RNA (ceRNA) networks were evaluated to discover the principal functions of significantly differentially expressed tsRNAs. In total, 67 differentially expressed tsRNAs were detected, of which 27 were upregulated and 40 downregulated in hypertrophic scar fibroblasts. The GO analysis indicated that the dysregulated tsRNAs are associated with numerous biological functions, including 'nervous system development', 'cell adhesion', 'focal adhesion', 'protein binding', 'angiogenesis' and 'actin binding'. KEGG pathway analysis revealed that the most altered pathways include 'Ras signaling pathway', 'Rap1 signaling pathway' and 'cGMP‑PKG signaling pathway'. The target genes of the differentially expressed tsRNAs participate in several signaling pathways important for scar formation. The results of RT‑qPCR were consistent with those of sequencing. MicroRNA (miR)‑29b‑1‑5p was identified as a target of tsRNA‑23678 and was downregulated in hypertrophic scar fibroblasts, constituting a negative regulatory factor for scar formation. Furthermore, tsRNA‑23761 acted as a ceRNA and bound to miR‑3135b to regulate the expression of miR‑3135b targets, including angiotensin‑converting enzyme. Collectively, these findings reveal that tsRNAs are differentially expressed in human hypertrophic scar fibroblasts, and may contribute to the molecular mechanism and treatment of hypertrophic scars.

Indexed as

AdultChildCicatrix, HypertrophicFemaleFibroblastsGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMicroRNAsReproducibility of ResultsRNA, MessengerRNA, TransferYoung AdultMicroRNAsRNA, MessengerRNA, Transferfibroblastshypertrophic scarRNA sequencingtRNA-derived small RNAwound healing

Identifiers

PMID31939611
PMCPMC6889923
OpenAlexW2990278544

What OpenQuestion 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 OpenQuestion graph.