Summary: Asthma is a chronic inflammatory respiratory disease affecting over 300 million people around the world. Some asthma patients remain poorly controlled by conventional therapies and experience more life-threatening exacerbations. While patients with severe, refractory disease represent a heterogeneous group, a feature shared by most includes glucocorticoid insensitivity. We sought to characterize differences in the airway smooth muscle transcriptome response to glucocorticoids in fatal asthma vs. non-asthma donors. RNA-Seq was used to measure airway smooth muscle transcript expression differences between 9 donors with fatal asthma and 8 non-asthma donors. Cells from each donor were treated with budesonide or with vehicle control. Poly(A)-selected RNA-Seq libraries were prepared with the Illumina TruSeq method. An Illumina HiSeq 2500 instrument was used to generate 125 base pair paired-end reads.
Overall Design: Transcriptome profiles obtained via RNA-Seq for airway smooth muscle cells from 9 fatal asthma and 8 non-asthma donors treated with budesonide (100nM for 24h) or vehicle control were compared
Strategy: |
|
Species: |
|
Tissue: |
|
Healthy Condition: |
|
Cell Type: |
|
Development Stage: |
|
Growth Protocol: | - |
Treatment Protocol: | 100 nM budesonide for 24 hours; Control vehicle (DMSO) for 24 hours |
Extract Protocol: | Total RNA was extracted from cells using the miRNAeasy mini kit (Qiagen Sciences, Inc.). |
Library Construction Protocol: | The Illumina TruSeq Stranded mRNA LT Sample Prep Kit (Illumina, Inc.) was used to prepare stranded RNA-Seq libraries. |
Molecule Type: | poly(A)+ RNA |
Library Source: | |
Library Layout: | PAIRED |
Library Strand: | Forward |
Platform: | ILLUMINA |
Instrument Model: | Illumina HiSeq 2500 |
Strand-Specific: | Specific |
Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
---|