|
| Status |
Public on Mar 03, 2021 |
| Title |
muscle of well endurance trained aged subject #2 |
| Sample type |
SRA |
| |
|
| Source name |
muscle vastus lateralis
|
| Organism |
Homo sapiens |
| Characteristics |
gender: male
age (years): 66.5
% of resistance training: 0
% of endurance training: 100
average weekly hours of training: 8
|
| Extracted molecule |
total RNA |
| Extraction protocol |
TRIZOL® (Invitrogen SRL, Milan, Italy)
RNA libraries were prepared for sequencing using standard Illumina protocols
|
| |
|
| Library strategy |
RNA-Seq |
| Library source |
transcriptomic |
| Library selection |
cDNA |
| Instrument model |
Illumina HiSeq 2000 |
| |
|
| Description |
80X2 paired-end sequence reads
|
| Data processing |
Illumina Casava1.8 software used for basecalling.
Sequenced reads were trimmed for sequance adapters and low-quality tails, then mapped to hg19 reference using tophat (2.0.9)
Raw count were computed using the Python package HTSeq-count (0.6.1p1) adopting the gene annotations Ensembl GRCh37.72. Data were normalized as count per million adopting the the R-bioconductor package edgrR (3.8.6)
Genome_build: hg19
Supplementary_files_format_and_content: text file include count per million (cpm) for every gene
|
| |
|
| Submission date |
Jan 27, 2021 |
| Last update date |
Mar 03, 2021 |
| Contact name |
Valentina Indio |
| Organization name |
University of Bologna
|
| Street address |
via Giuseppe Massarenti,11
|
| City |
Bologna |
| State/province |
Bologna |
| ZIP/Postal code |
40127 |
| Country |
Italy |
| |
|
| Platform ID |
GPL11154 |
| Series (2) |
| GSE165630 |
Non-coding RNAs in the transcriptional network that differentiates skeletal muscles of sedentary from long-term endurance- and resistance-trained elderly (RNA-Seq) |
| GSE165633 |
Non-coding RNAs in the transcriptional network that differentiates skeletal muscles of sedentary from long-term endurance- and resistance-trained elderly |
|
| Relations |
| BioSample |
SAMN17607818 |
| SRA |
SRX9960900 |
