ArticleFEBS open bio2021
Identification of crucial noncoding RNAs and mRNAs in hypertrophic scars via RNA sequencing.
Article in FEBS open bio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- Overexpression of miR-431-5p Inhibits the Development of Hypertrophic Scars by Negatively Regulating the Expression of ZEB1.Journal of cosmetic dermatology · 2025Article
- Collaborative Duality of CircGLIS3(2) RNA and Protein in human Wound Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- LINC01711 modulates proliferation, migration, and extracellular matrix deposition of hypertrophic scar fibroblasts by targeting miR-34a-5p.Archives of dermatological research · 2025Article
- Article
- RETRACTED: Clinical study on the role of LncRNA STX17-AS1 in wound healing and hypertrophic scar formation.International wound journal · 2024Article
- Farnesol Inhibits PI3 Kinase Signaling and Inflammatory Gene Expression in Primary Human Renal Epithelial Cells.Biomedicines · 2023Article
- Identification and Verification of Key MiRNAs Associated with Intervertebral Disc Degeneration.Combinatorial chemistry & high throughput screening · 2023Article
- Circ_0047339 promotes the activation of fibroblasts and affects the development of urethral stricture by targeting the miR-4691-5p/TSP-1 axis.Scientific reports · 2022Article
- Upregulation of long noncoding RNA linc02544 and its association with overall survival rate and the influence on cell proliferation and migration in lung squamous cell carcinoma.Discover oncology · 2022Article
- Beyond the Code: Noncoding RNAs in Skin Wound Healing.Cold Spring Harbor perspectives in biology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypertrophic scarring (HS) is a dermal fibroproliferative disorder characterized by excessive deposition of collagen and other extracellular matrix components. The aim of this study is to explore crucial long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) associated with HS and provide a better understanding of the molecular mechanism of HS. To investigate the lncRNA, circRNA and mRNA expression profiles, we performed RNA sequencing of human HS and normal skin tissues. After the identification of differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs) and circRNAs (DEcircRNAs), we performed functional enrichment of DEmRNAs. Further on, we constructed DElncRNA/DEcircRNA-DEmRNA coexpression networks and competing endogenous RNA regulatory networks, and performed functional analyses of the DEmRNAs in the constructed networks. In total, 487 DEmRNAs, 92 DElncRNAs and 17 DEcircRNAs were identified. DEmRNAs were significantly enriched in processes such as collagen fibril organization, extracellular matrix-receptor interaction and the phosphatidylinositol 3-kinase (PI3K)-Akt signaling pathway. In addition, we detected 580 DElncRNA-DEmRNA and 505 DEcircRNA-DEmRNA coexpression pairs. The competing endogenous RNA network contained 18 circRNA-microRNA (miRNA) pairs, 18 lncRNA-miRNA pairs and 409 miRNA-mRNA pairs, including 10 circRNAs, 5 lncRNAs, 15 miRNAs and 160 mRNAs. We concluded that MIR503HG/hsa-miR-204-3p/ACAN, MIR503HG/hsa-miR-431-5p/TNFRSF9, MEG3/hsa-miR-6884-5p/ADAMTS14, AC000035.1-ADAMTS14 and hsa_circ_0069865-COMP/ADAM12 interaction pairs may play a central role in HS.
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Registered trials
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.