Differential gene expression during biofilm dispersal by gluocse starvation
Ontology highlight
ABSTRACT:
ORGANISM(S): Vibrio cholerae
PROVIDER: GSE173505 | GEO | 2026/04/25
REPOSITORIES: GEO
Similar Datasets
Project description:Differential gene expression during biofilm dispersal by gluocse starvation
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Project description:We investigated eisosome rearrangement during glucose starvation. Pil1 phosphorylation was assessed in control and starvation conditions.
2020-03-23 | PXD017502 | Pride
Project description:The global transcriptional regulator Hha of Escherichia coli controls hemolysin activity, biofilm formation, and virulence expressions. Earlier, we have reported that Hha represses initial biofilm formation and disperses biofilms as well as controls prophage excision in E. coli. Since biofilm dispersal is a promising area to control biofilms, here we rewired Hha to control biofilm dispersal and formation. The Hha variant Hha13D6 was obtained to have enhanced biofilm dispersal activity along with increased toxicity compared to wild-type Hha (Hha13D6 induces dispersal 60%, whereas wild-type Hha induces dispersal at early biofilms but not at mature biofilms). Toxic Hha13D6 caused cell death probably by the activation of proteases HslUV, Lon, and PrlC, and deletion of protease gene hslV with overproducing Hh13D6 repressed biofilm dispersal, indicating Hha13D6 induces biofilm dispersal through the activity of protease HslV. Furthermore, another Hha variant Hha24E9 was also obtained to decrease biofilm formation 4-fold compared to wild-type Hha by regulation of gadW, glpT, and phnF. However, the dispersal variant Hha13D6 did not decrease biofilm formation, while the biofilm variant Hha24E9 did not induce biofilm dispersal. Hence, Hha may have evolved two ways in response to environmental factors to control biofilm dispersal and formation, but both controlling mechanisms come from different regulatory systems. For the whole-transcriptome study of BW25113 hha/pCA24N-hha13D6 versus BW25113 hha/pCA24N-hha biofilm dispersal, cells were grown in 250 mL of LB glucose (0.2%) for 16 h at 125 rpm with 10 g of glass wool (Corning Glass Works, Corning, NY, USA) in 1 L Erlenmeyer flasks to form a robust biofilm (Ren et al., 2004) and incubated an additional 1 h with 1 mM IPTG to induce wild-type Hha and Hha13D6. Similarly, for the whole transcriptome study of BW25113 hha/pCA24N-hha24E9 versus BW25113 hha/pCA24N-hha biofilm formation, cells were grown in 250 mL of LB glucose (0.2%) containing 1 mM IPTG for 7 h at 250 rpm with 10 g of glass wool to form biofilms. Biofilm cells were obtained by rinsing and sonicating the glass wool in sterile 0.85% NaCl solution at 0°C, and RNALater buffer® (Applied Biosystems, Foster City, CA, USA) was added to stabilize RNA during the RNA preparation steps. Total RNA was isolated from biofilm cells using a bead beater (Biospec, Bartlesville, OK, USA). cDNA synthesis, fragmentation, and hybridizations to the E. coli GeneChip Genome 2.0 array (Affymetrix, Santa Clara, CA, USA; P/N 511302). Genes were identified as differentially expressed if the expression ratio was higher than the standard deviation: 2.0-fold (induced and repressed) cutoff for Hha13D6 DNA microarrays (standard deviation 1.3-fold) and 10.0-fold (induced) or 4.0-fold (repressed) for Hha24E9 DNA microarrays (standard deviation 4.0-fold), and if the p-value for comparing two chips was less than 0.05.
2010-10-31 | E-GEOD-21604 | biostudies-arrayexpress
Project description:Streptococcus mutans were grown in rich SHI-medium as biofilms anaerobically. Biofilms were starved in minimal medium followed by glucose amendment (at pH 7). Replicate samples for MS/MS-small molecule and transcription analyses were collected at pH 7 and at pH 3.5 (20 hrs after glucose spiking). Only secreted molecules were analyzed with MS/MS (no cell lysis protocol was employed).
2014-04-10 | MSV000078581 | GNPS
Project description:Is there a universal genetically programmed defense providing tolerance to antibiotics when bacteria grow as biofilms? A comparison between biofilms of three different bacterial species by transcriptomic and metabolomic approaches uncovered no evidence of one. Single-species biofilms of three bacterial species (Pseudomonas aeruginosa, Staphylococcus aureus, and Acinetobacter baumannii) were grown in vitro for three days then challenged with respective antibiotics (ciprofloxacin, daptomycin, tigecycline) for an additional 24 h. All three microorganisms displayed reduced susceptibility in biofilms compared to planktonic cultures. Global transcriptomic profiling of gene expression comparing biofilm to planktonic and antibiotic-treated biofilm to untreated biofilm was performed. Extracellular metabolites including 18 amino acids, glucose, lactate, acetate, formate, and ethanol were measured to characterize the utilization of carbon sources between biofilms, treated biofilms, and planktonic cells. While all three bacteria exhibited a species-specific signature of stationary phase, no conserved gene, gene set, or common functional pathway could be identified that changed consistently across the three microorganisms. Across the three species, glucose consumption was increased in biofilms compared to planktonic cells and alanine and aspartic acid utilization were decreased in biofilms compared to planktonic cells. The reasons for these changes were not readily apparent in the transcriptomes. No common shift in the utilization pattern of carbon sources was discerned when comparing untreated to antibiotic-exposed biofilms. Overall, our measurements do not support the existence of a common genetic or biochemical basis for biofilm tolerance against antibiotics. Rather, there are likely myriad genes, proteins, and metabolic pathways that influence the physiological state of microorganisms in biofilms contributing to antibiotic tolerance. The Staphylococcus aureus microarray data from the study described above is deposited here.
2021-10-18 | GSE185864 | GEO
Project description:Is there a universal genetically programmed defense providing tolerance to antibiotics when bacteria grow as biofilms? A comparison between biofilms of three different bacterial species by transcriptomic and metabolomic approaches uncovered no evidence of one. Single-species biofilms of three bacterial species (Pseudomonas aeruginosa, Staphylococcus aureus, and Acinetobacter baumannii) were grown in vitro for three days then challenged with respective antibiotics (ciprofloxacin, daptomycin, tigecycline) for an additional 24 h. All three microorganisms displayed reduced susceptibility in biofilms compared to planktonic cultures. Global transcriptomic profiling of gene expression comparing biofilm to planktonic and antibiotic-treated biofilm to untreated biofilm was performed. Extracellular metabolites including 18 amino acids, glucose, lactate, acetate, formate, and ethanol were measured to characterize the utilization of carbon sources between biofilms, treated biofilms, and planktonic cells. While all three bacteria exhibited a species-specific signature of stationary phase, no conserved gene, gene set, or common functional pathway could be identified that changed consistently across the three microorganisms. Across the three species, glucose consumption was increased in biofilms compared to planktonic cells and alanine and aspartic acid utilization were decreased in biofilms compared to planktonic cells. The reasons for these changes were not readily apparent in the transcriptomes. No common shift in the utilization pattern of carbon sources was discerned when comparing untreated to antibiotic-exposed biofilms. Overall, our measurements do not support the existence of a common genetic or biochemical basis for biofilm tolerance against antibiotics. Rather, there are likely myriad genes, proteins, and metabolic pathways that influence the physiological state of microorganisms in biofilms contributing to antibiotic tolerance. The Acinetobacter baumannii microarray data from the study described above is deposited here.
2021-10-18 | GSE186041 | GEO
Project description:RNA changes upon glucose starvation
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Project description:Renal gluconeogenesis accounts for a substantial fraction of systemic glucose production during starvation, yet its regulation and pathological disruption in chronic kidney disease (CKD) remain poorly understood. Here, we investigated the mechanisms governing renal gluconeogenesis during starvation and their impairment in CKD. Integrated transcriptome analysis of starved mouse kidneys revealed that starvation robustly induces gluconeogenic gene expression in proximal tubular epithelial cells through activation of FOXO1. Consistently, tubule-specific deletion of FOXO1 (FOXO1^flox/flox^; Ksp-Cre) markedly reduced renal gluconeogenic enzyme expression and resulted in hypoglycemia during starvation, establishing FOXO1 as a critical regulator of renal glucose production. In multiple CKD models, basal serum glucose levels were preserved despite suppressed renal FOXO1 activation and gluconeogenic gene expression, indicating compensatory glucose production under fed conditions. In contrast, during prolonged starvation, CKD mice developed profound hypoglycemia accompanied by impaired FOXO1 activation and insufficient induction of renal gluconeogenesis, a phenotype that was similarly observed in aged mice. In human CKD kidneys, a senescent tubular cell state was associated with coordinated downregulation of gluconeogenesis-related genes. These findings were recapitulated in cisplatin-induced senescence models, which showed diminished FOXO1 activity, reduced gluconeogenic gene expression, and decreased glucose production. Collectively, these findings identify tubular cell senescence as a pathogenic mechanism that disrupts FOXO1-dependent renal gluconeogenesis, thereby compromising glucose homeostasis during starvation in CKD and aging. Targeting tubular senescence or restoring FOXO1 signaling may represent therapeutic strategies to prevent starvation-induced hypoglycemia in these conditions.
2025-06-30 | GSE293540 | GEO
Project description:The global transcriptional regulator Hha of Escherichia coli controls hemolysin activity, biofilm formation, and virulence expressions. Earlier, we have reported that Hha represses initial biofilm formation and disperses biofilms as well as controls prophage excision in E. coli. Since biofilm dispersal is a promising area to control biofilms, here we rewired Hha to control biofilm dispersal and formation. The Hha variant Hha13D6 was obtained to have enhanced biofilm dispersal activity along with increased toxicity compared to wild-type Hha (Hha13D6 induces dispersal 60%, whereas wild-type Hha induces dispersal at early biofilms but not at mature biofilms). Toxic Hha13D6 caused cell death probably by the activation of proteases HslUV, Lon, and PrlC, and deletion of protease gene hslV with overproducing Hh13D6 repressed biofilm dispersal, indicating Hha13D6 induces biofilm dispersal through the activity of protease HslV. Furthermore, another Hha variant Hha24E9 was also obtained to decrease biofilm formation 4-fold compared to wild-type Hha by regulation of gadW, glpT, and phnF. However, the dispersal variant Hha13D6 did not decrease biofilm formation, while the biofilm variant Hha24E9 did not induce biofilm dispersal. Hence, Hha may have evolved two ways in response to environmental factors to control biofilm dispersal and formation, but both controlling mechanisms come from different regulatory systems.
2010-10-31 | GSE21604 | GEO