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Next Generation Sequencing Facilitates Quantitative Analysis of keloid and normal skin

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of keloid and normal skin

PROVIDER: PRJNA635913 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11877475_1.fastq.gz	Fastqsanger.gz
	SRR11877475_2.fastq.gz	Fastqsanger.gz
	SRR11877476_1.fastq.gz	Fastqsanger.gz
	SRR11877476_2.fastq.gz	Fastqsanger.gz
	SRR11877477_1.fastq.gz	Fastqsanger.gz

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Next Generation Sequencing Facilitates Quantitative Analysis of keloid and normal skin

Project description:Purpose: This study aimed to investigate the role of dysregulated circRNAs in keloid. Methods: High-throughput sequencing was used to detect the changes of circRNAs, microRNAs(miRNAs) and mRNAs in 3 samples of keloid and corresponding normal skin.Based on Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway enrichment analysis combining several signaling pathways associated with keloid formation and progression, we screened these differentially expressed circRNAs.qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: Compared with normal controls, there were an average of 120 and 12 circRNAs, 44 and 63 miRNAs, 656 and 156 mRNAs were up-regulated and down-regulated, respectively, in keloids. Conclusions: This study implicates that the abnormal expression of circRNAs in cases of keloid may correlate with its pathological process.

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Quantitative proteomic analysis of keloid scars and normal skin tissues

Project description:Keloid scars is a pathologic fibro-proliferative disorders of the skin, which exhibit abnormal phenotypes including fibroblasts proliferation and collagen deposits. There have been several treatments of keloids including conventional surgical therapies and adjuvant therapies, but a high recurrence rate of keloids was also observed after treatment. Quantitative proteomics approach has been proved an efficient approach to investigate pathological mechanism and novel biomarkers. In this study, we present a label-free quantitative proteomics analysis to explore differential protein expression profiles in normal skin and keloid scar tissues based on nano-liquid chromatography and tandem mass spectrometry (Nano-LC–MS/MS). The study results displayed a more comprehensive keloid protein expression landscape and provided novel pathological insight of keloid.

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Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

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