Next Generation Sequencing Analysis of human primary airway smooth muscle cells treated with IL17A or DEX or both combined.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA559870 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9952830_1.fastq.gz | Fastqsanger.gz | |||
| SRR9952830_2.fastq.gz | Fastqsanger.gz | |||
| SRR9952831_1.fastq.gz | Fastqsanger.gz | |||
| SRR9952831_2.fastq.gz | Fastqsanger.gz | |||
| SRR9952832_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The goals of this study is to identify IL17A-induced transcripts differentially regulated by DEX in hASMCs. Methods:Primary hASMCs were treated for 4 hours with IL17A or DEX or both combined. mRNA profiles were generated by deep sequencing using Illumina GAIIx. Each treatment has 3 biological replicates. Results: Using an optimized data analysis workflow, we mapped about 40 million sequence reads per sample (>97% clean reads) to the human genome (build mm9) and identified 48,162 transcripts in hASMC samples. Conclusions: Our study showed that DEX regulated IL17A targt genes in both synergistic and suppressive manner in hASMCs. This is the first detailed analysis of transcriptoms of hASMCs in response to IL17A and DEX.
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