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Status |
Public on Sep 06, 2022 |
Title |
RB1_10_2 |
Sample type |
SRA |
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Source name |
bacterial cells
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Organism |
Sphingomonas melonis TY |
Characteristics |
cell type: bacterial cells treatment: 1% NaCl, 10 min
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Treatment protocol |
Transcriptome sequencings were carried out on S. melonis TY cultured under three levels of salt stress (0%, 1%, 2%) for 10 or 30 minutes. A total of 18 samples (6 treatments with 3 replicates) were sequenced.
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Growth protocol |
shake-flask culture, LB culture, 30℃, 200 rpm
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Extracted molecule |
total RNA |
Extraction protocol |
Total bacterial samples were collected (A600 = 0.6 at the time of collected), mixed with 0.2 volumes of stop-mix (95% ethanol and 5% phenol, v/v) and snap-frozen in liquid nitrogen. Pellets were resuspended in 100 μl lysozyme solution (15 mg/ml lysozyme in TE buffer, pH = 8.0). Total RNA was isolated with Omega-E.Z.N.A.® Bacterial RNA Kit. Briefly, RNA degradation and contamination were monitored on 1% agarose gels. The integrity of RNA sample was assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, USA). Sequencing libraries were generated from rRNA-depleted RNA using the RiboMinus Bacteria 2.0 Transcriptome Isolation Kit (Thermo Scientific, USA) following the manufacturer’s recommendations. The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia) according to the manufacturer’s instructions. The library preparations were sequenced on an Illumina Novaseq platform and 150 bp paired-end reads were generated. Before data analysis, raw data were firstly processed through in-house perl scripts as a quality control. Demultiplexed and quality filtered reads were then aligned to S. melonis TY genome sequence using Bowtie2-2.2.3. HTSeq 0.6.1 was used to count the reads numbers mapped to each gene.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 3000 |
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Data processing |
Raw data were firstly processed through in-house perl scripts as a quality control. Demultiplexed and quality filtered reads were then aligned to S. melonis TY genome sequence using Bowtie2-2.2.3. HTSeq 0.6.1 was used to count the reads numbers mapped to each gene. FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. Differential expression analysis of two conditions was performed using the DESeq Rpackage (1.18.0). The resulting P-values were adjusted using the Benjamini and Hochberg’s approach for controlling the false discovery rate. Assembly: ASM176134v1 Supplementary files format and content: tab-delimited text files include RPKM values for each Sample
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Submission date |
Sep 02, 2022 |
Last update date |
Sep 21, 2022 |
Contact name |
Xiaoyu Wang |
E-mail(s) |
[email protected]
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Phone |
18894038858
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Organization name |
Zhejiang University
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Department |
College of Life Sciences
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Lab |
MOE Laboratory of Biosystem Homeostasis and Protection
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Street address |
Yuhangtang Road
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City |
Hangzhou |
State/province |
Zhejiang |
ZIP/Postal code |
310058 |
Country |
China |
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Platform ID |
GPL32630 |
Series (1) |
GSE212614 |
Global transcriptional regulation of Sphingomonas melonis TY in response to hyperosmotic stress |
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Relations |
SRA |
SRX17314800 |
BioSample |
SAMN30573152 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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