Metadata
Source:
https://scienceparkstudygroup.github.io/rna-seq-lesson/
Airway smooth muscle cells
Himes BE, Jiang X, Wagner P, Hu R, Wang Q, Klanderman B, Whitaker RM, Duan Q, Lasky-Su J, Nikolos C, Jester W, Johnson M, Panettieri R Jr, Tantisira KG, Weiss ST, Lu Q. “RNA-Seq Transcriptome Profiling Identifies CRISPLD2 as a Glucocorticoid Responsive Gene that Modulates Cytokine Function in Airway Smooth Muscle Cells.” PLoS One. 2014 Jun 13;9(6):e99625. PMID: 24926665. GEO: GSE52778.
From the abstract, a brief description of the RNA-Seq experiment on airway smooth muscle (ASM) cell lines: “Using RNA-Seq, a high-throughput sequencing method, we characterized transcriptomic changes in four primary human ASM cell lines that were treated with dexamethasone - a potent synthetic glucocorticoid (1 micromolar for 18 hours).
Sample | Cell_line | GEO_Accession | Treatment | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 126 | 2.89 G | 1.55 Gb | N61311 | - | GSM1275862 | 2013-11-2616:39:00Z | GSM1275862 | Untreated | |||
2 | 126 | 2.67 G | 1.45 Gb | N61311 | - | GSM1275863 | 2013-11-2616:38:00Z | GSM1275863 | Dexamethasone | |||
3 | 126 | 2.88 G | 1.56 Gb | N61311 | - | GSM1275864 | 2013-11-2616:41:00Z | GSM1275864 | Albuterol | |||
4 | 126 | 2.76 G | 1.48 Gb | N61311 | - | GSM1275865 | 2013-11-2616:42:00Z | GSM1275865 | Albuterol_Dexamethasone | |||
5 | 126 | 3.55 G | 2.01 Gb | N052611 | - | GSM1275866 | 2013-11-2616:47:00Z | GSM1275866 | Untreated | |||
6 | 87 | 3.79 G | 2.22 Gb | N052611 | 1 | GSM1275867 | 2013-11-2617:02:00Z | GSM1275867 | Dexamethasone | |||
7 | 126 | 5.04 G | 3.03 Gb | N052611 | 1 | GSM1275868 | 2013-11-2616:49:00Z | GSM1275868 | Albuterol | |||
8 | 114 | 3.38 G | 1.86 Gb | N052611 | 1 | GSM1275869 | 2013-11-2617:03:00Z | GSM1275869 | Albuterol_Dexamethasone | |||
9 | 120 | 3.61 G | 2.10 Gb | N080611 | - | GSM1275870 | 2013-11-2617:03:00Z | GSM1275870 | Untreated | |||
10 | 126 | 4.32 G | 2.59 Gb | N080611 | - | GSM1275871 | 2013-11-2616:49:00Z | GSM1275871 | Dexamethasone | |||
11 | 126 | 3.84 G | 2.30 Gb | N080611 | - | GSM1275872 | 2013-11-2616:49:00Z | GSM1275872 | Albuterol | |||
12 | 107 | 3.38 G | 1.96 Gb | N080611 | - | GSM1275873 | 2013-11-2617:02:00Z | GSM1275873 | Albuterol_Dexamethasone | |||
13 | 101 | 3.52 G | 2.06 Gb | N061011 | 1 | GSM1275874 | 2013-11-2617:04:00Z | GSM1275874 | Untreated | |||
14 | 98 | 4.07 G | 2.39 Gb | N061011 | 1 | GSM1275875 | 2013-11-2617:08:00Z | GSM1275875 | Dexamethasone | |||
15 | 125 | 3.56 G | 1.96 Gb | N061011 | 1 | GSM1275876 | 2013-11-2617:04:00Z | GSM1275876 | Albuterol | |||
16 | 126 | 3.92 G | 2.22 Gb | N061011 | 1 | GSM1275877 | 2013-11-2616:52:00Z | GSM1275877 | Albuterol_Dexamethasone |
Fetching FASTQ files from SRA
Install the sra-tool kit if not yet installed. For example:
#Create a conda environment
conda create -n sra -c bioconda sra-tools
conda activate sra
Save a list of SRA accession numbers to download in a file called SraAccList.txt
SRR1039508
SRR1039509
SRR1039510
SRR1039511
SRR1039512
SRR1039513
SRR1039514
SRR1039515
SRR1039516
SRR1039517
SRR1039518
SRR1039519
SRR1039520
SRR1039521
SRR1039522
SRR1039523
Use the following PBS Pro submission script to fetch the FASTQ files for all listed samples. Note, data will be downloaded to the folder where the job is submitted. Example script (fetch_SraAccList.pbs).
Option 1:
#!/bin/bash
#usage: ./fetch_SraAccList.sh SraAccList.txt
for r1 in `cat $1`;
do
qsub <<EOF
#!/bin/bash -l
#PBS -N $(basename $r1)
#PBS -l walltime=10:00:00
#PBS -l mem=8G
#PBS -l ncpus=4
cd $PBS_O_WORKDIR
#activate conda environment
conda activate sra
#fetch FASTQ files
prefetch $r1
fastq-dump --split-files $r1
EOF
done
Option 2:
Submit the job to the HPC cluster:
Monitor jobs: