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Sample GSM2830248 Query DataSets for GSM2830248
Status Public on Mar 06, 2018
Title Pseudomonas aeruginosa FMN Rep2
Sample type SRA
 
Source name Pseudomonas aeruginosa
Organism Pseudomonas aeruginosa
Characteristics protocol: FMN
strain: PAO1
chip antibody: none
Growth protocol Candida S5314 strain was grown in GMM and YPD media to log phase (OD=0.6-0.8) and to saturated phases (OD>2). Pseudomonas aeruginosa PAO1 and bacillus subtilis 168 strain are grown in minimal media and LB to log (OD-0.6) and saturated phases (OD>2).
Extracted molecule total RNA
Extraction protocol Total RNA was extracted from candida albicans using hot acid phenol protocol. Poly(A)+ selected mRNAs were obtained using Poly(A)purist kit from Ambion. Total RNA was extracted from pseudomonas aeruginosa using Trizol. Total RNA was extracted from bacillus subtilis using 1%SDS and lysozyme, followed by Trizol. Ribosomal depletion on total bacillus and pseudomonas RNA was carried out using RiboZero kit for bacteria (Epicenter)
Poly(A) enriched or ribosomal RNA depleted RNA were structured probed in the presence and absence of ligands using RNase V1. The structure probed RNA was then fragmented, ligated to adapters, reverse transcribed and PCR amplified.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing Short reads from PARCEL libraries (Illumina NextSeq 500, 50 bp, single-end) in P. aeruginosa PAO1 and B. subtilis 168 were aligned to their corresponding reference genomes downloaded from NCBI using the short-read aligner bowtie2 (parameters: -k 1 --local)23. In the case of C. albicans SC5314, we extracted the UTR annotation from Bruno et al and integrated them into their corresponding transcriptomes before alignment by bowtie2. In both cases, only uniquely mapped reads were used for subsequent analysis.
Genome_build: Candida albicans SC5314 (v21)
Genome_build: Bacillus subtilis subsp. subtilis 168. (NC_000964)
Genome_build: Pseudomonas aeruginosa PAO1 (NC_002516)
Supplementary_files_format_and_content: bedgraph file generated using Bedtools
 
Submission date Oct 25, 2017
Last update date May 15, 2019
Contact name YANG SHEN
Organization name Genome Institute of Singapore
Street address Genome Institute of Singapore (A*STAR) 60 Biopolis Street, #02-01 Genome
City Singapore
ZIP/Postal code 138672
Country Singapore
 
Platform ID GPL21297
Series (1)
GSE106133 Genome-wide identification of natural RNA aptamers in prokaryotes and eukaryotes
Relations
BioSample SAMN07832850
SRA SRX3324117

Supplementary file Size Download File type/resource
GSM2830248_fmn_RHH1382_2.nor.bedgraph.gz 2.1 Mb (ftp)(http) BEDGRAPH
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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