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SRX3882458: RNA Seq of Keloid skin
1 ILLUMINA (Illumina HiSeq 3000) run: 20.7M spots, 6.2G bases, 2.1Gb downloads

Design: Customised SureSelect Strand-Specific RNA Library prep for ribo-depletion
Submitted by: Umar Niazi's shared submissions (saint_667's shared submissions)
Study: Time series integrative analysis of RNA-Seq and miRNA expression data reveals key biologic pathways during keloid formation
show Abstracthide Abstract
Keloids represent a common form of exaggerated wound scarring that cause considerable morbidity. Moreover, there are limited data on molecular mechanisms underlying keloids and effective therapies are lacking. To gain new insight in the transcriptomic alterations of wound healing in keloid-prone individuals, we followed an integrative approach of RNA-Seq and miRNA expression data analysis in serial skin biopsies of the same site (baseline and six weeks after wounding) in keloid-prone (n=8) and healthy matched control individuals (n=6). Bioinformatic analysis identified 37 miRNAs and 1449 genes that are differentially expressed specifically in keloid-prone individuals during wound healing. Pathway enrichment analysis was undertaken in the RNA-Seq data and identified NOTCH signaling, MAPK signaling, and Toll-like receptor pathways to be altered in keloid-prone individuals after wounding. In addition, dysregulation of DNA repair, p53 signalling and metabolic pathways (RNA, protein, fructose, mannose and glycerophospholipid metabolism) was highlighted during keloid formation. Gene association network analysis demonstrated divergent average expression profiles of cytokine signaling genes, as well as lipid metabolism genes between keloid-prone and healthy individuals during wound healing. In summary, our study provides a comprehensive and integrative analysis of the keloid transcriptome and miRNAome and highlights biological pathways that feature during keloid formation.
Sample: K5-1st
SAMN08863003 • SRS3121884 • All experiments • All runs
Organism: Homo sapiens
Library:
Name: 542
Instrument: Illumina HiSeq 3000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: Inverse rRNA
Layout: PAIRED
Runs: 1 run, 20.7M spots, 6.2G bases, 2.1Gb
Run# of Spots# of BasesSizePublished
SRR693776320,734,4866.2G2.1Gb2018-06-16

ID:
5335317

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