GEO DataSets

(Submitter supplied) To characterize the effect of lactic acid on the L. plantarum growth and adaptation, we investigated the transcriptome under hydrochloride (HCl) or lactic acid at the early stage of the growth.

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL32583

6 Samples

Download data: TXT

(Submitter supplied) The microbiome has revealed itself as a key player in health and disease. To better understand its role, in addition to microbial diversity, it is important to understand species-specific activity and gene expression. While metatranscriptomics investigates mRNA abundance2, it does not inform about faster post-transcriptional regulation3. Although prokaryotic translation is a common target for antibiotics, a direct measurement of microbiome ribosome dynamics remains inaccessible. more...

Organism:

Segatella copri; Alistipes finegoldii; Hoylesella timonensis; compost metagenome; Enterococcus faecalis; Bacillus subtilis; Limosilactobacillus reuteri; Limosilactobacillus fermentum; human feces metagenome; Escherichia coli; Synechocystis sp. PCC 6803; Staphylococcus aureus; Bacillus amyloliquefaciens; Lactiplantibacillus plantarum; Cryptococcus neoformans; Caulobacter vibrioides; Listeria monocytogenes; Saccharomyces cerevisiae; Salmonella enterica; Parabacteroides merdae

Type:

Other

17 related Platforms

199 Samples

Download data: BEDGRAPH, TXT, XLSX

(Submitter supplied) We report the transcriptome profile of the Lactobacillus plantarum NMM.1 treated by 5 μg/mL deoxynivalenol-3-glucoside (D3G),aiming to search for some different expression genes and pathways to reveal the change caused by D3G.

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30863

6 Samples

Download data: TXT

(Submitter supplied) Quorum sensing (QS) in bacteria has been a well studied cellular communication phenomenon for decades. In recent years, such systems have been repurposed for the use of biosensors in both cellular and cell-free contexts as well as for inducible protein expression in non-traditional chassis organisms. Such biosensors are particularly intriguing when considering the association between the pathogenesis of some bacteria and the QS signaling intermediates. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25957

6 Samples

Download data: CSV

(Submitter supplied) The transcriptome of L. plantarum strains that aggregate was compared with non-aggregating strains

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30015

11 Samples

Download data: CSV, TXT

(Submitter supplied) Plant-based foods contain bioactive compounds such as polyphenols that resist digestion and potentially benefit the host through interactions with their gut microbiome. Based on previous observations, we hypothesized thatprobiotic Lactobacillus plantarum interact with cranberry polyphenols and dietary oligosaccharides to synergistically impact its physiology. In this study, L. plantarum ATCC BAA-793 was grown on dietary oligosaccharides including cranberry xyloglucans, fructooligosaccharides, and human milk oligosaccharidesin conjunction with proanthocyanidins (PACs) extracted from cranberry. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL29328

22 Samples

Download data: CSV, TXT

(Submitter supplied) Characterization of Lactobacillus plantarum gene expression in the acididic conditions such as kimchi fermentation

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23496

6 Samples

Download data: XLSX

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with hydroxytyrosol. Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with hydroxytyrosol. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by array

Platform:

GPL22663

3 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with resveratrol. Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. The transcriptional profile reveals a large reshape of nitrogen metabolism whic affects, among others, the pyridine and purine metabolisms as well as the metabolism of aminoacids related to thiol-specific oxidative stress response in this microorganism. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by array

Platform:

GPL22663

3 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with oleuropein. Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. The transcriptional profile shows that Lactobacillus plantarum WCFS1 adapts its metabolic capacity to acquire certain carbohydrates and repress the expression of genes involved in fatty acid biosyntheis. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by array

Platform:

GPL22663

3 Samples

Download data: TXT

(Submitter supplied) In order to understand LBG derived galacto-manno-oligosaccharides utilization by a probiotic bacterium, Lactobacillus plantarum WCFS1, we have grown Lactobacillus plantarum WCFS1 (in duplicates) till mid log phase (OD600nm ~0.5, 10 h) in carbon free MRS (de Man, Rogosa Sharpe ) media containing either galacto-manno-oligosaccharides, mannose, glucose or galactose (1% w/v) as the sole carbon source.

Organism:

Lactiplantibacillus plantarum WCFS1

Type:

Expression profiling by array

Platform:

GPL25372

8 Samples

Download data: TXT

(Submitter supplied) The bacterial quorum sensing (QS) phenomenon has been well studied since its discovery and has traditionally been considered to include signaling pathways recognized exclusively within either Gram-positive (Gm+) or Gram-negative (Gm-) bacteria. The Gm+ bacteria are known to utilize quorum sensing pathways mediated by various small autoinducing peptides (AIP), while the Gm- bacteria use small molecules known collectively as acyl-homoserine lactones (AHL). more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25957

36 Samples

Download data: TXT

(Submitter supplied) Triplets of Lactobacullus plantarum strains were isolated from nine contrasting habitats. Without any passage through other culture media, isolation and cultivation were on model media that strictly reproduced the chemical and physical conditions and stressors of the habitats of origin. Here, we demonstrated how L. plantarum regulates and shapes its transcriptome in response to contrasting habitats. more...

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25156

36 Samples

Download data: TXT

(Submitter supplied) Analysis of Lactobacillus plantarum stains isolated from different cheese type

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23496

12 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with olive oil (OO). Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. The transcriptional profile reveals the downregulation of processes associated with rapid growth and the induction of stress-related pathways indicating the involvement of the stringent response. more...

Organism:

Lactiplantibacillus plantarum; Lactiplantibacillus plantarum WCFS1

Type:

Expression profiling by array

Platform:

GPL15934

3 Samples

Download data: TXT

(Submitter supplied) Bacteria cope with and adapt to stress by modulating gene expression in response to specific environmental cues. In this study the transcriptional response of lactobacillus plantarum CAUH2 to oxidative stress conditions was investigated via RNA-seq. The work provides detailed insights into the mechanisms through which L. plantarum responds to oxidative stress conditions and increases understanding of bacterial adaptation in natural and industrial settings.

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23496

6 Samples

Download data: TXT, XLSX

(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:

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; Selenomonas ruminantium AB3002; Butyrivibrio sp. FCS014; Polycyclovorans algicola TG408; Clostridium sp. KNHs205; Lachnospiraceae bacterium AC2029; Enterococcus faecalis 68A; Butyrivibrio sp. AE3004; Teredinibacter purpureus; 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; [Clostridium] methoxybenzovorans SR3; [Clostridium] 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; 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; Peptostreptococcaceae bacterium VA2; Ruminococcus sp. HUN007

Type:

Methylation profiling by high throughput sequencing

228 related Platforms

237 Samples

Download data: CSV, GFF

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with 1.5 mM gallic acid (GA). Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. The transcriptional profile reveals a massive induction of genes involved in transport and decarboxilation of gallic acid.

Organism:

Lactiplantibacillus plantarum; Lactiplantibacillus plantarum WCFS1

Type:

Expression profiling by array

Platform:

GPL15934

3 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling was used to characterize the response of Lactobacillus plantarum WCFS1 human isolate during challenge with gallic acid (GA). Twelve independent experiments were performed and mixed at random in groups of four for total of three RNA samples. The transcriptional profile reveals a massive induction of genes involved in transport and decarboxilation of gallic acid.

Organism:

Lactiplantibacillus plantarum; Lactiplantibacillus plantarum WCFS1

Type:

Expression profiling by array

Platform:

GPL15934

3 Samples

Download data: TXT

(Submitter supplied) The aim of the study was to determine biological relevance of differentially expressed genes in Lactobacillus plantarum C2 during fermentation of plant substrates. Whole-transcriptome analysis based on customized microarray profiles has been used to determine altered transcription patterns in L. plantarum C2.

Organism:

Lactiplantibacillus plantarum

Type:

Expression profiling by array

Platform:

GPL20099

8 Samples

Download data: TXT