Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of Pseudomonas aeruginosa PAS57 vs PAS96 and PAS57 vs PAS79 Transcriptomes

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 P. aeruginosa PAS57 (RNA-seq) to transcriptome profiling of P. aeruginosa PAS96 and PAS79 and to evaluate protocols for optimal high-throughput data analysis.

ORGANISM(S): Pseudomonas aeruginosa

PROVIDER: GSE339048 | GEO | 2026/08/09

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA Seq of Pseudomonas aeruginosa PAO1 exposed to DAS and DAE

Project description: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).

2020-12-31 | GSE151292 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAO1 and farnesol-treated P. aeruginosa PAO1 Transcriptomes

Project description: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 farnesol-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAO1 at a concentration of 108 CFU/mL. Farnesol was then added at a concentration of either 0 (control) or 0.56 mg/mL, in triplicate. All six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three farnesol treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: Our RNA-seq results showed that less than 100 genes of P. aeruginosa PAO1 were differentially expressed following farnesol treatment. We found that about 1.7% of all detected genes (96 of 5554 genes) were more than two-fold differentially expressed following farnesol treatment. Conclusions:

2019-10-11 | GSE138731 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAS71 and LVX-treated P. aeruginosa PAS71 Transcriptomes

Project description: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 PAS71 (RNA-seq) to transcriptome profiling of LVX-treated P. aeruginosa PAS71 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAS71 at a concentration of 1.0E8 CFU/mL. Levofloxacin was then added at a concentration of either 0 (control) or 0.125 μg/mL, respectively, in triplicate. All six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three LVX treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The transcriptome sequencing data of control and LVX-treated groups were compared and analyzed in the form of the following: control vs LVX. The details of the differentially expressed genes among the two groups showed that the amount of differential expressed genes between control group and LVX-treated group was high (total 5581, up-regulated 241, down-regulated 16).

2022-12-08 | GSE217409 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAS81 and LVFX-treated P. aeruginosa PAS81 Transcriptomes

Project description: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 PAS81 (RNA-seq) to transcriptome profiling of LVFX-treated P. aeruginosa PAS81 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAS81 at a concentration of 1.0E8 CFU/mL. Levofloxacin was then added at a concentration of either 0 (control) or 0.125 μg/mL, respectively, in triplicate. All six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three LVFX treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The transcriptome sequencing data of control and LVFX-treated groups were compared and analyzed in the form of the following: control vs LVFX. The details of the differentially expressed genes among the two groups showed that the amount of differential expressed genes between control group and LVFX-treated group was high (total 5581, up-regulated 241, down-regulated 16).

2022-12-08 | GSE189021 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAO1 and geraniol-treated P. aeruginosa PAO1 Transcriptomes

Project description: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 geraniol-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAO1 at a concentration of 1.0E8 CFU/mL. Diallyl trisulfide was then added at a concentration of either 0 (control) or 0.63 μl/mL, respectively, in triplicate. All nine experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three farnesol treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The transcriptome sequencing data of control and geraniol-treated groups were compared and analyzed in the form of the following: control vs geraniol. The details of the differentially expressed genes among the two groups showed that the amount of differential expressed genes between control group and geraniol-treated group was high (total 5788, up-regulated 1169, down-regulated 852).

2022-12-08 | GSE216316 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAO1 and DATS-treated P. aeruginosa PAO1 Transcriptomes

Project description: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 DATS-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods:LB medium (50 mL) was inoculated with exponential growth phase P. aeruginosa PAO1 at a concentration of 1.0E8 CFU/mL. Diallyl trisulfide was then added at a concentration of either 0 (control) or 0.63 μl/mL, respectively, in triplicate. All nine experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate of 180 rpm for 5 h. Cells were then sampled and centrifuged from the three control groups and three farnesol treatment groups, respectively. The cell precipitates were separately snap-frozen at -80ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The transcriptome sequencing data of control and DATS-treated groups were compared and analyzed in the form of the following: control vs DATS. The details of the differentially expressed genes among the two groups showed that the amount of differential expressed genes between control group and DATS-treated group was high (total 5572, up-regulated 929, down-regulated 1432). Conclusions:

2021-12-31 | GSE178622 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of control of Pseudomonas aeruginosa PAO1 and diallyl disulphide-treated P. aeruginosa PAO1 Transcriptomes

Project description: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 diallyl disulphide-treated P. aeruginosa PAO1 and to evaluate protocols for optimal high-throughput data analysis. Methods: Every 50 mL LB medium was inoculated exponential growth phase of P. aeruginosa PAO1, with the bacterial concentration of 108 CFU/mL. Then DDS was added, with its concentrations were 0 (as control, three biological repeats numbered A1, A2, and A3) and 0.64 mg/mL (three biological repeats numbered B1, B2, and B3) separately, both with a triplicate. All the six experiment groups were incubated in a water bath shaker at 37 ºC with a shaking rate at 150 rpm for 5 hours. The cells were then sampled and centrifuged from the three control groups and three DDS treatment groups, respectively. The cell precipitates in the control and DDS-treated groups were quickly separately frozen at -80 ºC. Total RNA was isolated from cells using Trizol (Life Technologies, USA) according to the manufacturer’s protocol. Results: The RNA sequencing results revealed that a large number of genes in P. aeruginosa PAO1 were differentially expressed after DDS treatment. More than three thousands of genes were differentially expressed, with either up regulated (1649 genes) or down regulated (1725 genes) more than two-fold. Conclusions:

2018-08-21 | GSE118801 | GEO

RNA-Seq of miR-29cb2 ko vs WT

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived bone transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis

2022-01-05 | GSE188697 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of GlyTranscriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived consortium GLY transcriptome profiling (RNA-seq) and to evaluate protocols for optimal high-throughput data analysis

2021-03-17 | GSE169004 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of CHAA Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived strain JSTW transcriptome profiling (RNA-seq) and to evaluate protocols for optimal high-throughput data analysis

2021-04-27 | GSE173379 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data