|
| Status |
Public on Aug 03, 2022 |
| Title |
50 mg/L Escitalopram 2 |
| Sample type |
SRA |
| |
|
| Source name |
E. coli bacteria + P. putida bacteria + A.baylyi bacteria
|
| Organisms |
Pseudomonas putida; Escherichia coli; Acinetobacter baylyi |
| Characteristics |
e.coli strain: K-12 LE392
p. putida strain: KT2440
a. baylyi strain: ADP1
treatment: 50 mg/L Escitalopram
|
| Treatment protocol |
Mixed wild-type strains E. coli K-12 LE392, P. putida KT2440 and A.baylyi ADP1 were supended in triplicate in 10 mL PBS containing 0 mg/L (control), 10 mg/L Duloxetine, 1 and 10 mg/L Sertraline, 50 mg/L Escitalopram, 10 mg/L Fluoxetine, 100 mg/L Bupropion and 50 mg/L Agomelatine for 2 h at room temperature, without shaking
|
| Growth protocol |
liquid LB culture at 30 °C
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Bacterial cells were then harvested by centrifugation at 8000 × g for 10 min. Total RNA was extracted from the mutants using the QIAGEN miRNeasy Mini Kit (QIAGEN, Germany) manufacturer’s protocol with one extra bead-beating step to completely lyse the bacterial cells.
RNA libraries were prepared for sequencing using standard Illumina protocols
|
| |
|
| Library strategy |
RNA-Seq |
| Library source |
transcriptomic |
| Library selection |
cDNA |
| Instrument model |
Illumina HiSeq 2500 |
| |
|
| Description |
Ecs50 2
|
| Data processing |
base calling through an integrated primary analysis software called RTA (Real Time Analysis. v1.18).
The NGS QC toolkit (version 2.3.3) was used to treat the raw sequence reads to trim the 3’-end residual adaptors and primers, and the ambiguous characters in the reads were removed. Then, the sequence reads consisting of at least 85% bases were progressively trimmed at the 3’-ends until a quality value ≥ 20 were kept. Downstream analyses were performed using the generated clean reads of no shorter than 75 bp.
The clean reads of each sample were aligned to the E. coli reference genome (NC_000913) using SeqAlto (version 0.5). Cufflinks (version 2.2.1) was used to calculate the strand-specific coverage for each gene, and to analyze the differential expression in triplicate bacterial cell cultures. The statistical analyses and visualization were conducted using CummeRbund package in R (http://compbio.mit.edu/cummeRbund/).
Gene expression was calculated as fragments per kilobase of a gene per million mapped reads (FPKM, a normalized value generated from the frequency of detection and the length of a given gene.
Genome_build: NC_000913.3
Supplementary_files_format_and_content: tab-delimited text files include FPKM values for each Sample ...
|
| |
|
| Submission date |
Aug 11, 2021 |
| Last update date |
Aug 03, 2022 |
| Contact name |
Jianhua Guo |
| E-mail(s) |
j.guo@awmc.uq.edu.au
|
| Organization name |
University of Queensland
|
| Department |
Australian Centre for Water and Environmental Biotechnology
|
| Street address |
Research Road, Level 4 Gehrmann Building
|
| City |
Brisbane |
| ZIP/Postal code |
4072 |
| Country |
Australia |
| |
|
| Platform ID |
GPL30502 |
| Series (1) |
| GSE181900 |
Next Generation Sequencing Facilitates Quantitative Analysis of E. coli K-12 LE392, P. putida KT2440, and Acinetobacter baylyi ADP1 Transcriptomes under various antidepressant exposure |
|
| Relations |
| BioSample |
SAMN20710559 |
| SRA |
SRX11717400 |
