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RNA Seq of Pseudomonas aeruginosa PAO1 exposed to DAS and DAE

ABSTRACT: Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare transcriptome profiling of control of P. aeruginosa PAO1 (RNA-seq) to transcriptome profiling of DAS-treated and DAE-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Results: The transcriptome sequencing data of control, DAS-treated and DAE-treated groups were compared and analyzed in the form of the following: DAE vs DAS, control vs DAS, and control vs DAE. The details of the differentially expressed genes among the three groups showed that the amount of differential expressed genes between DAE-treated group and DAS-treated group was high (total 2195, up-regulated 1608, down-regulated 587). There were many differentially expressed genes in the PAO1 strain after DAS treatment (total 2771, up-regulated 1905, down-regulated 866), while the amount of differentially expressed genes after DAE treatment was relatively small (total 770, up-regulated 349, down-regulated 421).

ORGANISM(S): Pseudomonas aeruginosa PAO1

PROVIDER: GSE151292 | GEO | 2020/12/31

REPOSITORIES: GEO

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Project description:Purpose: The goals of this study are to compare RNA-Seq transcriptomic data of P. aeruginosa PAO1 in response to chronic exposure of clindamycin and rifampicin eluted from antibiotic-impregnated catheters in a continuous biofilm culture condition. Methods: Transcriptomic profiles of P. aeruginosa PAO1 grown with catheters without antibiotic coating or with clindamycin/rifampicin coating were generated by deep sequencing, in quadruplicates, using Illumina NextSeq 550 sequencer with SE-75. FastQC and Trimmomatic (v0.39) were used for sequencing quality assessment. Raw read counts of the annotated genes were calculated using HTSeq-count. The log2 fold change and false discovery rate (FDR) were measured by edgeR. Genes with |log2FC| > 1.0 and FDR < 0.05 were considered as differential expression genes. Transcripts per million (TPM) was measured by Kallisto, which is an alignment free expression estimation tool. Results: P. aeruginosa PAO1 RNA sequencing using Illumina NextSeq 550 sequencer generated 5,205,190 of average number of reads with average read length of 65 bp and a mean coverage of 54X. Differentially regulated proteins of 877 in the planktonic cells were identified, 55 of which displayed up-regulation and 822 displayed down-regulation. On the other hand, 178 proteins were differentially expressed in the biofilm cells containing 152 up-regulated and 26 down-regulated. Conclusions: Our study represents the first detailed analysis of transcriptomes generated by RNA-seq technology after P. aeruginosa PAO1 planktonic and biofilm cells were continuously exposed to clindamycin/rifampicin-impregnated catheters. Our results show that RNA sequencing offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content of strain PAO1 cells. We conclude that RNA-seq based transcriptome characterization would help the understanding for the mechanism of antimicrobial resistance and virulence in P. aeruginosa after exposure of antimicrobial-coated catheter.

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RNA Seq of Pseudomonas aeruginosa PAO1 exposed to DAS and DAE

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