GEO DataSets

(Submitter supplied) In nature, bacteria often survive in a stationary state, with low metabolic activity. Phages use the metabolic machinery of the host cell to replicate and, therefore, their efficacy against non-dividing cells is usually limited. Nevertheless, it was previously shown that the Staphylococcus epidermidis phage SEP1 has the remarkable capacity to actively replicate in stationary-phase cells, reducing their numbers. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30249

24 Samples

Download data: XLSX

(Submitter supplied) Skin serves as both barrier and interface between body and environment. Skin microbes are intermediaries evolved to respond, transduce, or act in response to changing environmental or physiological conditions. Here, we quantify genome-wide changes in gene expression levels for one abundant skin commensal, Staphylococcus epidermidis, in response to an internal physiological signal, glucose levels, and an external environmental signal, temperature. more...

Organism:

Staphylococcus epidermidis ATCC 12228

Type:

Expression profiling by high throughput sequencing

Platform:

GPL34301

28 Samples

Download data: TXT

(Submitter supplied) The release of cells from S. epidermidis biofilms formed on medical devices has been associated with the onset of bloodstream infections, resulting in increased morbidity and mortality rates. This has to do, in part, with the difficulty to accurately diagnose S. epidermidis bloodstream infections. S. epidermidis is a ubiquitous commensal of human skin and mucosa and, thus, a positive blood culture does not always represent an infection, possibly being the result of contamination during blood collection. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17893

6 Samples

Download data: TXT

(Submitter supplied) Pathogenic bacteria encounter a variety of stressful host environments during infection. Their responses to meet these challenges protect them from deadly damages and aid in adaption to harmful environments. Bacterial products critical for this protection are therefore interesting as suitable targets for new antimicrobials. To shed light on the complex array of molecular pathways involved in bacterial stress responses we challenged 32 diverse human pathogenic bacteria to 11 infection related stress conditions and catalogued their transcriptomes. more...

Organism:

Neisseria meningitidis; Staphylococcus epidermidis; Streptococcus pyogenes; Listeria monocytogenes; Salmonella enterica; Achromobacter xylosoxidans; Helicobacter pylori; Enterococcus faecalis; Borreliella burgdorferi; Pseudomonas aeruginosa; Legionella pneumophila; Klebsiella pneumoniae; Yersinia pseudotuberculosis; Vibrio cholerae; Streptococcus suis; Streptococcus agalactiae; Streptococcus pneumoniae; Mycobacterium tuberculosis; Burkholderia pseudomallei; Campylobacter jejuni; Francisella tularensis; Acinetobacter baumannii; Neisseria gonorrhoeae; Escherichia coli; Shigella flexneri; Aggregatibacter actinomycetemcomitans; Haemophilus influenzae; Staphylococcus aureus subsp. aureus MRSA252; Staphylococcus aureus subsp. aureus MSSA476

Type:

Expression profiling by high throughput sequencing

30 related Platforms

1122 Samples

Download data: TXT

(Submitter supplied) This study is focused on understanding the molecular basis of protein- and polysaccharide intercellular adhesin (PIA)- mediated biofilm formation by S. epidermidis in PCs. Comparative transcriptomic analysis of S. epidermidis PIA- biofilm positive (AZ22, AZ39) and PIA+ biofilm positive (ST02) strains was performed using a RNAseq approach. Pathway enrichment analysis revealed cellular component GO term (AZ22), two KEGG pathways (AZ39), and two molecular function GO term and 8 KEGG pathways (ST02) were enriched. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23256

16 Samples

Download data: TXT

(Submitter supplied) The goal of our study was to perform RNA sequencing of whole transcripts to determine and compare the real length of 3’UTRs among closely-related staphylococcal species. We found that most of the mRNAs encoding orthologous genes in staphylococcal species have 3’UTRs with different lengths in addition to sequence variation.

Organism:

Staphylococcus capitis; Staphylococcus epidermidis; Staphylococcus simiae

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL27999 GPL23256 GPL28000

3 Samples

Download data: BW

(Submitter supplied) We performed differential RNA-seq of two Staphylococcus epidermidis clinical isolates (PS2 and PS10) to compare their transcription profiles. The isolates were originally obtained from blood cultures during a systemic infection in an immunocompromised patient (Weisser et al. 2010. J Clin Microbiol 48: 2407-2412). They are of clonal origin, but differ phenotypically with respect to extracellular biofilm matrix production. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26150

4 Samples

Download data: WIG

(Submitter supplied) We investigated an improved method that combines competitive PCR and microarray techniques. This approach allowed us to quantify specific bacterial groups mounted on DNA chips with accuracy close to that of real-time PCR, despite a measurement at the end point of PCR, and also to estimate the bacterial DNA content in sample DNA.

Organism:

Neisseria meningitidis; Porphyromonas gingivalis; Fusobacterium nucleatum; Clostridium beijerinckii; Lactobacillus gasseri; Tannerella forsythia; Campylobacter rectus; Helicobacter pylori; Pseudomonas aeruginosa; Aggregatibacter actinomycetemcomitans; Phocaeicola vulgatus; Capnocytophaga gingivalis; Deinococcus radiodurans; Streptococcus mutans; Streptococcus intermedius; Cutibacterium acnes; Treponema denticola; Cereibacter sphaeroides; Streptococcus gordonii; Streptococcus agalactiae; Enterococcus faecalis; Bifidobacterium adolescentis; Homo sapiens; Prevotella intermedia; Prevotella nigrescens; Bacteria; Acinetobacter baumannii; Escherichia coli; Staphylococcus aureus; Staphylococcus epidermidis; Bacillus cereus; Schaalia odontolytica; Fusobacterium nucleatum subsp. nucleatum

Type:

Other

Platform:

GPL25612

178 Samples

Download data: CSV

(Submitter supplied) Staphylococcus epidermidis, the common inhabitant of human skin and mucosal surfaces has emerged as an important pathogen in patients receiving surgical implants and medical devices. Entering the body via surgical sites and colonizing the medical devices through formation of multi-layered biofilms it leads to refractory and persistent device-related infections (DRIs). Staphylococcal proportions within biofilms are more tolerant to antibiotics and immune responses, and thus are hard-to-treat. more...

Organism:

Staphylococcus epidermidis RP62A

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24569

12 Samples

Download data: TXT, WIG

(Submitter supplied) Alpha-mangostin (α-MG) is a natural xanthone reported to exhibit rapid bactericidal activity against Gram-positive bacteria, and may therefore have potential clinical application in healthcare sectors. This study sought to identify the antibacterial mode of action of α-MG against Staphylococcus epidermidis RP62A through RNA-sequencing technology.

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24903

1 Sample

Download data: TXT

(Submitter supplied) Purpose: To compare the transcriptome changes in phoU1(serp0956) or phoU2(serp0316)deletion strain with the parent strain SE1457 in stationary phase (10 h). Methods: Total RNA was isolated and sequenced from the phoU1 deletion strain, phoU2 deletion strain and the parent strain SE1457 in stationary phase (10 h) in triplicate using an illumina high-seq 2500. Raw data was analyzed using TopHat. Genes were considered changed which performed fold-change>=1.5 and FDR<=0.05. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23256

9 Samples

Download data: XLSX

(Submitter supplied) Purpose: To compare the transcriptome changes in phoU1(serp0956) or phoU2(serp0316)deletion strain with the parent strain SE1457 in log-phase (6 h) Methods: Total RNA was isolated and sequenced from the phoU1 deletion strain, phoU2 deletion strain and the parent strain SE1457 in log-phase (6 h) in triplicate using an illumina high-seq 2500. Raw data was analyzed using TopHat. Genes were considered changed which performed fold-change>=1.5 and FDR<=0.05. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23256

9 Samples

Download data: GFF, XLS

(Submitter supplied) The release of cells from S. epidermidis biofilms formed on medical devices has been associated with the onset of bloodstream infections resulting in increased morbidity and mortality among infected patients. In order to better understand the role of BRC in the pathogenesis of S. epidermidis biofilm-related infections, the transcriptome of these cells was evaluated upon exposure to human blood components. more...

Organism:

Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17893

6 Samples

Download data: TXT

(Submitter supplied) Bacterial sepsis is a major killer in hospitalized patients. Coagulase-negative staphylococci (CNS) with the leading species Staphylococcus epidermidis are the most frequent causes of nosocomial sepsis, with most infectious isolates being methicillin resistant. However, which bacterial factors underlie the pathogenesis of CNS sepsis is unknown. While it has been commonly believed that invariant structures on the surface of CNS trigger sepsis by causing an over-reaction of the immune system, we show here that sepsis caused my methicillin-resistant S. more...

Organism:

Coxiella burnetii; Rickettsia rickettsii; Chlamydia muridarum; Staphylococcus epidermidis RP62A; Chlamydia pneumoniae AR39; Borreliella burgdorferi B31; Coxiella burnetii RSA 493; Chlamydia caviae GPIC; Staphylococcus haemolyticus JCSC1435; Staphylococcus epidermidis; Staphylococcus aureus subsp. aureus MW2; Granulibacter bethesdensis; Staphylococcus epidermidis ATCC 12228; Chlamydia trachomatis D/UW-3/CX

Type:

Expression profiling by array

Platform:

GPL4692

15 Samples

Download data: CEL, CHP

(Submitter supplied) Virulence of many bacterial pathogens, including the important human pathogen Staphylococcus aureus, depends on the secretion of frequently high amounts of toxins. Toxin production involves the need for the bacteria to make physiological adjustments for energy conservation. While toxins are primarily known to be targets of gene regulation, such changes may be accomplished by regulatory functions of the toxins themselves. more...

Organism:

Borreliella burgdorferi B31; Chlamydia trachomatis D/UW-3/CX; Staphylococcus haemolyticus JCSC1435; Staphylococcus epidermidis ATCC 12228; Staphylococcus aureus subsp. aureus MW2; Chlamydia pneumoniae AR39; Coxiella burnetii RSA 493; Granulibacter bethesdensis; Coxiella burnetii; Rickettsia rickettsii; Staphylococcus aureus; Chlamydia muridarum; Staphylococcus epidermidis RP62A; Chlamydia caviae GPIC

Type:

Expression profiling by array

Platform:

GPL4692

12 Samples

Download data: CEL, CHP

(Submitter supplied) Background Bacteria rely on efficient gene regulatory mechanisms to switch between genetic programs when they are facing new environments. Although this regulation can occur at many different levels, one of the key steps is the initiation of transcription. Identification of the first nucleotide transcribed by the RNA polymerase is therefore essential to understand the underlying regulatory processes, since this provides insight on promoter strength and binding sites for transcriptional regulators, and additionally reveals the exact 5' untranslated region of the transcripts, which often contains elements that regulate translation. more...

Organism:

Klebsiella aerogenes; Staphylococcus epidermidis; Acinetobacter baumannii; Staphylococcus aureus

Type:

Expression profiling by high throughput sequencing; Other

4 related Platforms

30 Samples

Download data: TSV

(Submitter supplied) We examined the differential gene expression of Staphylococcus epidermidis and Staphylococcus epidermidis in dual species biofilms. Therefore, we performed RNA-Seq on single and dual species biofilms and we compared the gene expression levels in dual species biofilms to those in single species biofilms.

Organism:

Staphylococcus aureus; Staphylococcus epidermidis

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL21653 GPL17452 GPL21652

9 Samples

Download data: XLSX

(Submitter supplied) Next-generation sequencing technologies have dramatically increased the rate at which new genomes are sequenced. Accordingly, automated-annotation programs have become adept at identifying and annotating protein coding regions, as well as common and conserved RNAs. Additionally, RNAseq techniques have advanced our ability to identify and annotate regulatory RNAs (sRNAs), which remain significantly understudied. more...

Organism:

Staphylococcus aureus; Staphylococcus epidermidis; Staphylococcus carnosus

Type:

Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL21408 GPL19476 GPL21407

3 Samples

Download data: XLSX

(Submitter supplied) A hallmark of Coxiella burnetii, the bacterial cause of human Q fever, is a biphasic developmental cycle that generates biologically, ultrastructurally, and compositionally distinct large cell variant (LCV) and small cell variant (SCV) forms. LCVs are replicating, exponential phase forms while SCVs are non-replicating, stationary phase forms. The SCV has several properties, such as a condensed nucleoid and an unusual cell envelope, suspected of conferring enhanced environmental stability. more...

Organism:

Coxiella burnetii; Chlamydia trachomatis D/UW-3/CX; Staphylococcus epidermidis ATCC 12228; Staphylococcus aureus subsp. aureus MW2; Granulibacter bethesdensis; Rickettsia rickettsii; Chlamydia muridarum; Staphylococcus epidermidis RP62A; Chlamydia caviae GPIC; Staphylococcus haemolyticus JCSC1435; Chlamydia pneumoniae AR39; Borreliella burgdorferi B31; Coxiella burnetii RSA 493

Type:

Expression profiling by array

Platform:

GPL4692

20 Samples

Download data: CEL, CHP

(Submitter supplied) DNA methylation is an important regulator of genome function in the eukaryotes, but it is currently unclear if the same is true in prokaryotes. While regulatory functions have been demonstrated for a small number of bacteria, there have been no large-scale studies of prokaryotic methylomes and the full repertoire of targets and biological functions of DNA methylation remains unclear. Here we applied single-molecule, real-time sequencing to directly study the methylomes of 232 phylogenetically diverse prokaryotes. more...

Organism:

Lactococcus lactis subsp. lactis; Lactiplantibacillus plantarum; Lachnobacterium bovis; Clostridium perfringens ATCC 13124; Methanocaldococcus jannaschii DSM 2661; Methylorubrum extorquens AM1; Thermoplasma volcanium GSS1; Acidobacteriaceae bacterium TAA 166; Mycoplasmopsis bovis PG45; Methanospirillum hungatei JF-1; Actinobacillus succinogenes 130Z; Fervidobacterium nodosum Rt17-B1; Bifidobacterium longum subsp. infantis ATCC 15697 = JCM 1222 = DSM 20088; Staphylothermus marinus F1; Thermoanaerobacter sp. X514; Xenorhabdus nematophila ATCC 19061; Galbibacter orientalis; Dyadobacter fermentans DSM 18053; Streptosporangium roseum DSM 43021; Pedobacter heparinus DSM 2366; Rhizobium etli CIAT 652; Meiothermus ruber DSM 1279; Planctopirus limnophila DSM 3776; Methanothermus fervidus DSM 2088; Sebaldella termitidis ATCC 33386; Methanohalophilus mahii DSM 5219; Aminobacterium colombiense DSM 12261; Acidobacteriaceae bacterium KBS 146; Pontibacter actiniarum DSM 19842; Thermobacillus composti KWC4; Marinithermus hydrothermalis DSM 14884; Bernardetia litoralis DSM 6794; Desulfobacca acetoxidans DSM 11109; Rikenella microfusus DSM 15922; Echinicola vietnamensis DSM 17526; Orenia marismortui DSM 5156; Sporocytophaga myxococcoides DSM 11118; Niabella soli DSM 19437; Sinorhizobium medicae WSM1115; Hippea alviniae EP5-r; Hippea sp. KM1; Sphingomonas melonis C3; Methylophilaceae bacterium 11; Thioalkalivibrio sp. ARh3; Thiomonas sp. FB-6; Oxalobacteraceae bacterium AB_14; Solidesulfovibrio cf. magneticus IFRC170; Desulfotignum balticum DSM 7044; Methylobacterium sp. EUR3 AL-11; Kallotenue papyrolyticum; Bryobacter aggregatus MPL3; Ruminococcus albus AD2013; Eubacterium sp. AB3007; Ruminococcaceae bacterium AE2021; Lachnospiraceae bacterium AC2031; Selenomonas ruminantium AC2024; Selenomonas sp. AB3002; Peptostreptococcaceae bacterium VA2; Ruminococcus sp. HUN007; Teredinibacter turnerae; Escherichia coli CFT073; Salmonella bongori NCTC 12419; Treponema denticola ATCC 35405; Akkermansia muciniphila ATCC BAA-835; Phaeobacter inhibens DSM 17395; Actinosynnema mirum DSM 43827; Staphylococcus aureus subsp. aureus USA300_TCH1516; Sphaerobacter thermophilus DSM 20745; Veillonella parvula DSM 2008; Streptobacillus moniliformis DSM 12112; Allomeiothermus silvanus DSM 9946; Sedimentitalea nanhaiensis DSM 24252; Sediminispirochaeta smaragdinae DSM 11293; Hirschia baltica ATCC 49814; Coraliomargarita akajimensis DSM 45221; Syntrophothermus lipocalidus DSM 12680; Stutzerimonas stutzeri RCH2; Syntrophobotulus glycolicus DSM 8271; Bacillus spizizenii str. W23; Phocaeicola salanitronis DSM 18170; Pseudofrankia sp. DC12; Nitratifractor salsuginis DSM 16511; Cellulophaga lytica DSM 7489; Asinibacterium sp. OR53; Solitalea canadensis DSM 3403; Patulibacter minatonensis DSM 18081; Acetobacterium woodii DSM 1030; Nocardia sp. BMG51109; Halomicrobium katesii DSM 19301; Nitriliruptor alkaliphilus DSM 45188; Methylophilus sp. 1; Pseudomonas aeruginosa NCAIM B.001380; Kangiella aquimarina DSM 16071; Pelobacter seleniigenes DSM 18267; Thiomicrospira pelophila DSM 1534; Desulfurobacterium sp. TC5-1; Bacteroides sp. 14(A); Clostridium sp. 12(A); Hydrogenovibrio kuenenii DSM 12350; Leptolyngbya sp. PCC 6406; Maribacter sp. Hel_I_7; Desulfospira joergensenii DSM 10085; Tolumonas lignilytica; Cellvibrionaceae bacterium 1162T.S.0a.05; Lacrimispora indolis SR3; Lacrimispora indolis DSM 755; Desulforegula conservatrix Mb1Pa; Oceanicola sp. HL-35; Algoriphagus marincola HL-49; Desulfohalovibrio reitneri; Alicyclobacillus macrosporangiidus CPP55; Pseudacidobacterium ailaaui; Mediterraneibacter gnavus AGR2154; Sediminibacter sp. Hel_I_10; Hydrogenovibrio sp. MA2-6; Pseudobutyrivibrio ruminis HUN009; Lachnoclostridium phytofermentans KNHs212; Robinsoniella sp. KNHs210; Enterococcus gallinarum; Clostridium algidicarnis; Pyrococcus horikoshii OT3; Methylocystis sp. LW5; Agrobacterium fabrum str. C58; Persephonella; Mastigocladopsis repens PCC 10914; Neisseria gonorrhoeae FA 1090; Clostridioides difficile 630; Thiobacillus denitrificans ATCC 25259; Salmonella enterica subsp. enterica serovar Paratyphi A str. ATCC 9150; Sulfurimonas denitrificans DSM 1251; Sulfolobus acidocaldarius DSM 639; Flavobacterium psychrophilum JIP02/86; Methanocorpusculum labreanum Z; Cronobacter; Pseudarthrobacter chlorophenolicus A6; Saccharomonospora viridis DSM 43017; Verrucomicrobia bacterium LP2A; Thermanaerovibrio acidaminovorans DSM 6589; Corynebacterium aurimucosum ATCC 700975; Zymomonas mobilis subsp. pomaceae ATCC 29192; Klebsiella aerogenes FGI35; Cellulophaga algicola DSM 14237; Flexistipes sinusarabici DSM 4947; Sulfurospirillum barnesii SES-3; Gillisia limnaea DSM 15749; Spirochaeta thermophila DSM 6578; Ruminococcus sp. NK3A76; Spirochaeta africana DSM 8902; Holophaga foetida DSM 6591; Salmonella enterica subsp. enterica serovar Paratyphi B str. SPB7; Acetivibrio clariflavus 4-2a; Thermacetogenium phaeum DSM 12270; Methylophilus sp. 5; Arthrobacter sp. 31Y; Methylophilus sp. 42; Methylotenera versatilis 79; Psychrilyobacter atlanticus DSM 19335; Prevotella sp. 10(H); Methylotenera sp. 73s; Acidovorax sp. JHL-3; Gillisia sp. JM1; Cellulomonas sp. KRMCY2; Clostridium sp. ASBs410; Limisalsivibrio acetivorans; Polaromonas sp. EUR3 1.2.1; Levilactobacillus brevis AG48; Pediococcus acidilactici AGR20; Exiguobacterium chiriqhucha; Prevotella sp. HUN102; Flavimarina sp. Hel_I_48; Lachnospiraceae bacterium AC2012; Clostridioides mangenotii LM2; Exiguobacterium aurantiacum DSM 6208; Exiguobacterium acetylicum DSM 20416; Exiguobacterium oxidotolerans JCM 12280; Exiguobacterium antarcticum DSM 14480; Methylobacter tundripaludum 21/22; Lachnoclostridium phytofermentans KNHs2132; Staphylococcus epidermidis AG42; Butyrivibrio sp. AE3003; Streptococcus equinus; Salmonella enterica subsp. arizonae serovar 62:z4,z23:-; Xylella fastidiosa Temecula1; Acetivibrio thermocellus ATCC 27405; Rhodopseudomonas palustris CGA009; Neisseria meningitidis FAM18; Thermoplasma acidophilum DSM 1728; Hydrogenovibrio crunogenus XCL-2; Chloroflexus aggregans DSM 9485; Thermosipho melanesiensis BI429; Shewanella woodyi ATCC 51908; Bradyrhizobium elkanii USDA 76; Dinoroseobacter shibae DFL 12 = DSM 16493; Parabacteroides distasonis ATCC 8503; Anoxybacillus flavithermus WK1; Escherichia coli str. K-12 substr. MG1655; Capnocytophaga ochracea DSM 7271; Haloterrigena turkmenica DSM 5511; Palaeococcus ferrophilus DSM 13482; Acetivibrio thermocellus DSM 1313; Gracilinema caldarium DSM 7334; Treponema succinifaciens DSM 2489; Caldithrix abyssi DSM 13497; Calidithermus chliarophilus DSM 9957; Cohnella panacarvi Gsoil 349; Methylobacterium sp. 10; Xanthobacter sp. 91; Geopsychrobacter electrodiphilus DSM 16401; Hydrogenovibrio marinus DSM 11271; Nocardia sp. BMG111209; Klebsiella oxytoca BRL6-2; Polaribacter sp. Hel_I_88; Methylohalobius crimeensis 10Ki; Streptomyces sp. WMMB 714; Ruminiclostridium josui JCM 17888; Alteromonas sp. ALT199; Aminiphilus circumscriptus DSM 16581; Caldicoprobacter oshimai DSM 21659; Microbacterium sp. KROCY2; Thermogemmatispora carboxidivorans; Ruminococcus flavefaciens AE3010; Butyrivibrio sp. FCS014; Polycyclovorans algicola TG408; Clostridium sp. KNHs205; Lachnospiraceae bacterium AC2029; Enterococcus faecalis 68A; Butyrivibrio sp. AE3004; Teredinibacter purpureus

Type:

Methylation profiling by high throughput sequencing

228 related Platforms

237 Samples

Download data: CSV, GFF