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Status |
Public on Apr 02, 2024 |
Title |
D39 CEP:rr09, OD 0.4, Rep2 [RR09-2] |
Sample type |
SRA |
|
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Source name |
Bacterial cell
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Organism |
Streptococcus pneumoniae |
Characteristics |
strain: D39V cell type: Bacterial cell genotype: CEP:rr08 treatment: C+Y media, 37°C, OD 0.4
|
Growth protocol |
Streptococcus pneumoniae D39V and overexpression mutant derivatives were grown in the rich C+Y medium in triplicate cultures at 37°C with 5% CO2 to an OD600 0.4.
|
Extracted molecule |
total RNA |
Extraction protocol |
RNA was extracted from Streptococcus pneumoniae by a phenol-chloroform extraction. 1 µg RNA was depleted for ribosomal RNA using the NEBNext® rRNA Depletion Kit (Bacteria). RNA libraries were then prepared using the NEBNext® Ultra™ II Directional RNA Library Prep Kit.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina NovaSeq 6000 |
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|
Description |
featureCount_report_TCS.csv
|
Data processing |
Raw reads from the fastq files were mapped to the genome with bowtie2 using local alignment. Samtools was used for SAM-to-BAM conversion and sorting. Raw reads were counted at a feature level with featureCounts. Multimapping reads were counted and fractionally assigned to their features. Reads overlapping several features were assigned by largest overlap. Parameters used with featureCounts (example): featureCounts -p -M --fraction -O --largestOverlap -t gene -f -g Name --extraAttributes locus_tag,gene_biotype -a CP027540.1.gff3 -s 2 -o featureCounts_report FILENAMES Assembly: CP027540.1 (several sRNA features identified in D39W were manually added to the General Feature Format (GFF)-file) Supplementary files format and content: File contains read counts for all features of S. pneumoniae D39V in all samples (file format: csv). In addition to feature coordinates, the file also contains locus_tags, names, gene_biotypes.
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Submission date |
Feb 23, 2023 |
Last update date |
Apr 02, 2024 |
Contact name |
Jens Sivkær Pettersen |
E-mail(s) |
[email protected]
|
Organization name |
University of Southern Denmark
|
Street address |
Campusvej 55
|
City |
Odense M |
State/province |
Danmark |
ZIP/Postal code |
5230 |
Country |
Denmark |
|
|
Platform ID |
GPL28680 |
Series (1) |
GSE225902 |
A comprehensive analysis of pneumcoccal two-component system regulatory networks |
|
Relations |
BioSample |
SAMN33422465 |
SRA |
SRX19481906 |