Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiling analyses of ECF sigma factor PG0162-PG1660 mutant of Porphyromonas gingivalis W83 [RNA-Seq]

ABSTRACT: The role of ECF sigma factors PG0162, PG01660 were involved in virulence regulationin Porphyromonas gingivalis was published Yuetan Dou, Devon Osbourne, Rachelle McKenzie, Hansel M Fletcher. (2010) Involvement of extracytoplasmic function sigma factors in virulence regulation in Porphyromonas gingivalis W83. FEMS Microbiology Letter, 312(1):24-32.

ORGANISM(S): Porphyromonas gingivalis W83

PROVIDER: GSE103739 | GEO | 2017/09/14

SECONDARY ACCESSION(S): PRJNA406902

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression profiling analyses of ECF sigma factor PG1660 mutant of Porphyromonas gingivalis W83

Project description:To study the expression profile of ECF sigma factor PG1660 mutant under anaerobic conditions and hydrogen peroxide stress conditions compared to the wild-type W83 by using DNA-microarray. The role of ECF sigma factor PG1660 involved in oxidative stress was published Yuetan Dou, Devon Osbourne, Rachelle McKenzie, Hansel M Fletcher. (2010) Involvement of extracytoplasmic function sigma factors in virulence regulation in Porphyromonas gingivalis W83. FEMS Microbiology Letter, 312(1):24-32.

2017-09-14 | GSE103838 | GEO

Expression profiling analyses of ECF sigma factor of Porphyromonas gingivalis W83

Project description:Expression profiling analyses of ECF sigma factor of Porphyromonas gingivalis W83

| PRJNA407217 | ENA

Porphyromonas gingivalis W83

Project description:Expression profiling analyses of ECF sigma factor PG1660 mutant of Porphyromonas gingivalis W83

| PRJNA407220 | ENA

Porphyromonas gingivalis W83

Project description:Expression profiling analyses of ECF sigma factor PG0162-PG1660 mutant of Porphyromonas gingivalis W83 [RNA-Seq]

| PRJNA406902 | ENA

Effect of deletion of trkA on gene expression of Porphyromonas gingivalis W83

Project description:To investigate the comprehensive function of trkA in Porphyromonas gingivalis W83, we established isogenic trkA deletion strain via homologous recombination and compared the transcriptional alteration between mutant and wild type group through RNA sequencing.

2022-11-07 | GSE210663 | GEO

Porphyromonas gingivalis W83

Project description:Porphyromonas gingivalis W83 Raw sequence reads

| PRJNA883030 | ENA

Porphyromonas gingivalis W83:Transcriptome profiling and functional verification of flavodoxin

Project description:The aim of the study was to identify the role of flavodoxin gene in the virulence of P. gingivalis W83.The mRNA profiles of P. gingivalis W83 and flavodoxin mutant strain were generated by deep sequencing, in triplicate, using Illumina sequencing platform. Differential expression analysis of two groups (Three biological replicates per group) was performed using the DESeq R package. In total, 376 genes met the DEGs criteria (194 upregulated genes and 182 down-regulated genes). The KEGG pathway analysis indicated the DEGs were significantly enriched in three KEGG pathways, comprising pathways associated with Peroxisome, Two-component system and Quorum sensing.Importantly, we found that the flavodoxin gene can regulate the type IX secretion system and oxidative stress system in P. gingivalis W83. The knowledge obtained will help us to deeply understand the role of flavodoxin gene in the P. gingivalis W83 genome.

2021-10-24 | GSE186376 | GEO

Porphyromonas gingivalis W83

Project description:Porphyromonas gingivalis W83 Genome sequencing and assembly

| PRJNA938817 | ENA

Comparison of Porphyromonas gingivalis W83 gene expression when grown with or without galactose

Project description:Porphyromonas gingivalis (P. gingivalis) W83 cultures in early exponential phase were supplemented with 0.1% galactose or vehicle control. The cultures were then permitted to grow anaerobically at 37°C for 3 hours, which corresponds to approximately one doubling of P. gingivalis. At this point, RNA extraction was performed using the cultures, and these samples were processed and submitted for RNA sequencing using an Illumina platform. Modest changes in gene expression were observed between cultures grown with or without galactose, and the majority of changes were associated with processes occurring at the cell membrane.

2018-12-21 | GSE124206 | GEO

Gene expression changes in Porphyromonas gingivalis W83 after inoculation in rat oral cavity

Project description:The aim of this study is to investigate the alterations in gene expression in Porphyromonas gingivalis W83 after inoculation in rat oral cavity. P.gingivalis W83 inoculation in rat oral cavity caused inflammatory responses in gingival tissues and destroyed host alveolar bone. Microarray analysis revealed that 42 genes were upregulated, and 22 genes were downregulated in the detected 1786 genes in the inoculated P.gingivalis W83. Products of these upregulated and downregulated genes are mainly related to transposon functions, cell transmembrane transportation, protein and nucleic acid metabolism, energy metabolism, cell division and bacterial pathogenicity.P.gingivalis W83 has a pathogenic effect on host oral cavity. Meanwhile, inflammatory oral environment alters P.gingivalis W83 gene expression profile. These changes in gene expression may limit the proliferation and weaken the pathogenicity of P.gingivalis W83, and favor themselves to adapt local environment for survival.

2015-04-07 | GSE67608 | 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