|
| Status |
Public on Mar 28, 2017 |
| Title |
50A Old Resistance PreTraining |
| Sample type |
SRA |
| |
|
| Source name |
vastus lateralis muscle biopsy
|
| Organism |
Homo sapiens |
| Characteristics |
age: Old
exercise type: Resistance
biopsy timepoint: PreTraining
|
| Extracted molecule |
total RNA |
| Extraction protocol |
We measured mRNA expression as previously described (Lanza et al., Cell Metab. 16 (2012), pp. 777–788) with slight modifications. In brief, total RNA was isolated from the biopsy collected at 1000 hr, and sequencing libraries were prepared with TruSeq RNA Sample Prep Kit v2. Libraries were sequenced on a HiSeq 2000 sequencer using TruSeq SBS sequencing kit version 3 and HCS version 2.0.12.0 software. Genes with a FDR-corrected p value of ≤0.05 and an absolute log2 fold change of ≥0.5 (where 0.0 signifies no change) were considered for further analysis.
|
| |
|
| Library strategy |
RNA-Seq |
| Library source |
transcriptomic |
| Library selection |
cDNA |
| Instrument model |
Illumina HiSeq 2000 |
| |
|
| Description |
GeneCount_raw_2.tsv
|
| Data processing |
Illumina Casava1.7 software used for basecalling.
Reads were trimmed to remove adapter sequence and aligned using MapRSeq pipeline (Kalari et al; BMC Bioinformatics. 2014 Jun 27;15:224) using default configuration.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files of raw reads per gene in each sample.
|
| |
|
| Submission date |
Mar 27, 2017 |
| Last update date |
May 15, 2019 |
| Contact name |
Surendra Dasari |
| Organization name |
Mayo Clinic
|
| Department |
Quantitative Health Sciences Research
|
| Street address |
200 First Street SW
|
| City |
Rochester |
| State/province |
MN |
| ZIP/Postal code |
55905 |
| Country |
USA |
| |
|
| Platform ID |
GPL11154 |
| Series (1) |
| GSE97084 |
Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans |
|
| Relations |
| BioSample |
SAMN06645524 |
| SRA |
SRX2676386 |
