Gene expression profile of E. coli MG1655 cells grown at different growth rates in mixed substrates culture
Ontology highlight
ABSTRACT:
ORGANISM(S): Escherichia coli
PROVIDER: GSE51581 | GEO | 2013/10/24
SECONDARY ACCESSION(S): PRJNA223609
REPOSITORIES: GEO
Similar Datasets
Project description:E. coli MG155 cells were grown at different grwoth rates in mixed substrate culture. To facilitate different metaoblic status, cells adjust substrate consumption behavior which must be reflected in the gene expression profiles of metablism network. The metabolism network including the substrate transporter systems is our study focus. We use microarrays to capture the adjustments and switches in substrate transporter and central metabolism network along growth rate changes. E. coli MG155 cells were cultured in a continuous-feed chemostat culture with growth rate control through dilution. Cells were confirmed with a stable growth rate then collected and analyzed 24 hrs after each dilution change.
2013-10-24 | E-GEOD-51581 | biostudies-arrayexpress
Project description:Metabolism is at the core of cellular function as it provides free energy and building blocks required for cellular growth, and it has evolved to contain extensive regulation to adjust the activity of each pathway to the cellular needs at a given time. Here we used yeast as model to study how flux through the metabolic network is controlled. Using a systems biology approach, where we combined multi-omics analysis with metabolic modelling, we could classify overall regulatory patterns in key cellular pathways. We conclude that whereas transcriptional regulation is dominant for most metabolic pathways, there is increased enzyme saturation for increased specific growth rates, but glycolysis stands out as having far more complex regulation, which involves both protein-phosphorylation and metabolite-enzyme interactions.
2021-09-08 | PXD012891 | Pride
Project description:Transcriptome profiles were analyzed using the samples taken at the exponential and stationary phases during the cultivation of REL606 and MG1655 in LB medium. At the exponential growth phase, most highly expressed genes of B were those for replication, translation, or nucleotide transport and metabolism, while many of the K-12 genes were involved in cell motility, transcription, carbohydrate transport, or energy production. At the stationary phase, many of the genes highly expressed in B were for transport and metabolism of various amino acids and carbohydrates, whereas those in K-12 had functions related to cell motility, ribosomal subunit protein production, or energy generation. Many genes in REL606 and MG1655 showed highly distinct expression levels irrespective of growth conditions. Highly expressed genes in REL606 included those encoding enzymes for biosynthesis of L-arginine (argAGDECBHI) and branched-chain amino acid (ilvGMEDA), and those encoding a subunit of the L-arginine transporter (artJ), cytochrome b562 (cybC), subunits of the histidine ABC transporter (hisPJ), cytotoxins (hokED), outer membrane porin (ompF), L-arginine decarboxylase (speA), and cell division inhibitor (sulA). Highly expressed genes in MG1655 included those for chemotaxis (cheZYRWA, tap, trg, tsr), Lon protease (lon), C4-dicarboxylate-sensing histidine kinase (dcuS), chaperones (clpB, dnaK, groES, htpG, ibpA), the major subunit of type 1 fimbriae (fimA), a regulator of flagellar biosynthesis (flhC), glycerol-3-phosphate-dehydrogenase (glpABCD), glycerophosphoryl diester phosphodiesterase (glpQ), glycerol-3-phosphate transporter (glpT), hydrogenase 2 (hybCBO), outer membrane porins (nmpC, ompA, ompC), and galactitol transport and metabolism (gatYZC).
2009-09-28 | GSE13011 | GEO
Project description:Transcriptome profiles were analyzed using the samples taken at the exponential and stationary phases during the cultivation of REL606 and MG1655 in LB medium. At the exponential growth phase, most highly expressed genes of B were those for replication, translation, or nucleotide transport and metabolism, while many of the K-12 genes were involved in cell motility, transcription, carbohydrate transport, or energy production. At the stationary phase, many of the genes highly expressed in B were for transport and metabolism of various amino acids and carbohydrates, whereas those in K-12 had functions related to cell motility, ribosomal subunit protein production, or energy generation. Many genes in REL606 and MG1655 showed highly distinct expression levels irrespective of growth conditions. Highly expressed genes in REL606 included those encoding enzymes for biosynthesis of L-arginine (argAGDECBHI) and branched-chain amino acid (ilvGMEDA), and those encoding a subunit of the L-arginine transporter (artJ), cytochrome b562 (cybC), subunits of the histidine ABC transporter (hisPJ), cytotoxins (hokED), outer membrane porin (ompF), L-arginine decarboxylase (speA), and cell division inhibitor (sulA). Highly expressed genes in MG1655 included those for chemotaxis (cheZYRWA, tap, trg, tsr), Lon protease (lon), C4-dicarboxylate-sensing histidine kinase (dcuS), chaperones (clpB, dnaK, groES, htpG, ibpA), the major subunit of type 1 fimbriae (fimA), a regulator of flagellar biosynthesis (flhC), glycerol-3-phosphate-dehydrogenase (glpABCD), glycerophosphoryl diester phosphodiesterase (glpQ), glycerol-3-phosphate transporter (glpT), hydrogenase 2 (hybCBO), outer membrane porins (nmpC, ompA, ompC), and galactitol transport and metabolism (gatYZC). All microarray experiments were performed in duplicate with dye-swapping. The probes were spotted in duplicate onto the microarray. Thus, the log2 of the intensity ratio with the two dyes for each spot was calculated from up to four values from the duplicated spot on the microarray and the dye-swap experiment.
2010-05-22 | E-GEOD-13011 | biostudies-arrayexpress
Project description:Responses of Escherichia coli MG1655/pTrc99a(NOX-) grown at different growth rates in chemostat in M9 + salts Keywords: different growth rates in parallel
2006-03-08 | GSE4366 | GEO
Project description:Responses of Escherichia coli MG1655/pTrc99a(NOX+) grown at different growth rates in chemostat in M9 + salts NOX: NADH oxygenase converts NADH to NAD. Cells with NOX are able to recycle the excess NADH generated during rapid growth, leading to lesser accumulation of acetate Keywords: different growth rates in parallel
2006-03-08 | GSE4365 | GEO
Project description:Using whole genome microarrays based on the annotated genomes of Postia placenta, we monitored the changes in its transcriptomes relevant to cell wall degradation during growth on three chemically distinct Populus trichocarpa (poplar) wood substrates. The research goal is to identtify genes essential for cellulose depolymerization. From a data set of 12438 unique gene models, each NimbleGen (Madison, WI) array targeted 9959 genes and featured 10 unique 60mers per gene, all in triplicate. RNA and protein were obtained from P. placenta strain MAD-698-R (USDA Forest Mycology Center, Forest Products Laboratory, Madison WI) grown in malt extract agar for 10 days prior to inoculation with wood wafers. Three poplar wood substrates with distinct cell wall chemical properties were selected from several hundred 4-year old poplar (Populus trichocarpa) trees grown in a common garden field trial at the University of British Columbia (Canada). We selected three poplar genotypes based on cell wall chemical traits. Substrate A corresponds to a genotype with a higher than average lignin content and lower that average glucose content; Substrate B, a lower than average lignin content and higher that average glucose content; Substrate C lignin and glucose contents are near the population average. Poplar wood stems were cut into 0.5 mm wafers on a microtome, sterilized for 20 min at 121°C, dried at 50°C overnight, and cooled to room temperature. The specimens were then inoculated in Petri dishes with actively growing mycelia. Approximately 5 g of wood wafers were placed in each Petri dish (exact weights were recorded), sealed and incubated at 22°C and 70 ± 5% relative humidity for 10, 20 or 30 days. For RNA, the degraded wafers were removed from the Petri dishes, immediately snap-frozen in liquid nitrogen and stored at -80°C for later use. Total RNA was converted to Cy3 labelled cDNA, hybridized to microarrays and scanned as previously described by Vanden Wymelenberg et al 2010 (Appl Enviro Microbiol 76:3599-3610).The 24 arrays per fungal species were scanned and data extracted using NimbleScan v.2.4. The raw data was loaded into GeneSpring, where the intensities were converted to log2 and quantile normalized, and all probes per gene averaged. This data was then exported and further analyzed in R. For substrates “A” and “B”, three replicates were used for each wood substrate/fungus and incubation period combination. For substrate “C” only 2 biological replicates were employed.
2015-05-19 | E-GEOD-69004 | biostudies-arrayexpress
Project description:Using whole genome microarrays based on the annotated genomes of Phanerochaete chrysosporium, we monitored the changes in its transcriptomes relevant to cell wall degradation during growth on three chemically distinct Populus trichocarpa (poplar) wood substrates. Results of this study are sumbitted for review in Biotechnology for Biofuels From a data set of 10004 unique gene models, each NimbleGen (Madison, WI) array targeted 9959 genes and featured 12 unique 60mers per gene, all in triplicate. RNA and protein were obtained from P. chrysosporium strain RP-78 (USDA Forest Mycology Center, Forest Products Laboratory, Madison WI) grown in malt extract agar for 10 days prior to inoculation with wood wafers. Three poplar wood substrates with distinct cell wall chemical properties were selected from several hundred 4-year old Populus trichocarpa trees grown in a common garden field trial at the University of British Columbia (Canada). We selected three poplar genotypes based on cell wall chemical traits. Substrate A corresponds to a genotype with a higher than average lignin content and lower that average glucose content; Substrate B, a lower than average lignin content and higher that average glucose content; Substrate C lignin and glucose contents are near the population average. Poplar wood stems were cut into 0.5 mm wafers on a microtome, sterilized for 20 min at 121°C, dried at 50°C overnight, and cooled to room temperature. The specimens were then inoculated in Petri dishes with actively growing mycelia. Approximately 5 g of wood wafers were placed in each Petri dish (exact weights were recorded), sealed and incubated at 22°C and 70 ± 5% relative humidity for 10, 20 or 30 days. For RNA, the degraded wafers were removed from the Petri dishes, immediately snap-frozen in liquid nitrogen and stored at -80°C for later use. Total RNA was converted to Cy3 labelled cDNA, hybridized to microarrays and scanned as previously described by Vanden Wymelenberg et al 2010 (Appl Enviro Microbiol 76:3599-3610).The 24 arrays per fungal species were scanned and data extracted using NimbleScan v.2.4. The raw data was loaded into GeneSpring, where the intensities were converted to log2 and quantile normalized, and all probes per gene averaged. This data was then exported and further analyzed in R. For substrates “A” and “B”, three replicates were used for each wood substrate/fungus and incubation period combination. For substrate “C” only 2 biological replicates were employed.
2015-05-19 | E-GEOD-69008 | biostudies-arrayexpress
Project description:Specific growth rate dependent gene expression changes of Escherichia coli K12 MG1655 were determined by microarray and real time PCR analyses. The bacteria were cultivated on glucose limited minimal medium using the accelerostat method (A-stat), where starting from steady state conditions in a chemostat culture, dilution rate is constantly increased. At specific growth rate (μ) 0.47 h-1, E. coli had focused its metabolism to glucose utilization by down-regulation of alternative substrate transporters expression compared to μ = 0.3 h-1. It was found that acetic acid accumulation began at μ = 0.34 ± 0.01 h-1 and two acetate synthesis pathways (phosphotransacetylase-acetate kinase (pta-ackA) and pyruvate oxidase (poxB)) contributed to the synthesis at the beginning of overflow metabolism, i.e. onset of acetate excretion. On the other hand, poxB, pta and ackA expression patterns suggest that pyruvate oxidase may be the only enzyme synthesizing acetate at μ = 0.47 h-1. Down-regulation of acs-yjcH-actP operon, the resulting loss of glucose and acetate co-utilization between specific growth rates 0.3 h-1 – 0.42 h-1 and acetic acid accumulation from μ = 0.34 ± 0.01 h-1 allows one to surmise that the acetate utilization operon expression might play an important role in overflow metabolism.
2009-09-30 | GSE18183 | GEO
Project description:Specific growth rate dependent gene expression changes of Escherichia coli K12 MG1655 were determined by microarray and real time PCR analyses. The bacteria were cultivated on glucose limited minimal medium using the accelerostat method (A-stat), where starting from steady state conditions in a chemostat culture, dilution rate is constantly increased. At specific growth rate (μ) 0.47 h-1, E. coli had focused its metabolism to glucose utilization by down-regulation of alternative substrate transporters expression compared to μ = 0.3 h-1. It was found that acetic acid accumulation began at μ = 0.34 ± 0.01 h-1 and two acetate synthesis pathways (phosphotransacetylase-acetate kinase (pta-ackA) and pyruvate oxidase (poxB)) contributed to the synthesis at the beginning of overflow metabolism, i.e. onset of acetate excretion. On the other hand, poxB, pta and ackA expression patterns suggest that pyruvate oxidase may be the only enzyme synthesizing acetate at μ = 0.47 h-1. Down-regulation of acs-yjcH-actP operon, the resulting loss of glucose and acetate co-utilization between specific growth rates 0.3 h-1 â 0.42 h-1 and acetic acid accumulation from μ = 0.34 ± 0.01 h-1 allows one to surmise that the acetate utilization operon expression might play an important role in overflow metabolism. DNA microarray analysis was performed from three A-stat cultivations, for which one has a technical replicate.
2010-05-22 | E-GEOD-18183 | biostudies-arrayexpress