Bioreactor metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA317604 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3342703_1.fastq.gz | Fastqsanger.gz | |||
| SRR3342703_2.fastq.gz | Fastqsanger.gz | |||
| SRR3342685_1.fastq.gz | Fastqsanger.gz | |||
| SRR3342685_2.fastq.gz | Fastqsanger.gz | |||
| SRR3342775_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
Similar Datasets
Project description:These research areas concentrate on stress induced proteases in recombinant Escherichia coli, glycosylation heterogeneity due to bioprocess conditions produced in mammalian cells, and metabolic engineering of E. coli. The hypothesis of this project is that recombinant protein glycosylation is inefficient under normal bioreactor conditions since the additional glycosylation reactions necessary for the recombinant protein exceed the metabolic capacity of the cells. Normal bioreactor conditions have been optimized for cell growth, and sometimes for protein productivity. Only recently has it been accepted that optimal glycosylation may not occur under optimal growth or protein productivity conditions. Specific Aim: Determine the relationship between bioreactor conditions and glycosylation gene expression in NS0 cells.
2011-04-29 | GSE28920 | GEO
Project description:Whole-genome microarray technology and state-of-the-art proteomic techniques were applied to provide a global and time-resolved picture of the physiological response of B. subtilis cells exposed to a severe and sudden osmotic up-shift. This combined experimental approach provided quantitative data for 3961 mRNA profiles, 590 expression profiles of proteins detected in the cytosol and 383 expression profiles of proteins detected in the membrane fraction. Our study uncovered a well-coordinated induction of gene expression subsequent to an osmotic up-shift that involves large parts of the SigB, SigW, SigM and SigX regulons and additionally osmotic up-regulation of a large number of genes that do not belong to these regulons. In total, osmotic up-regulation of about 500 B. subtilis genes was observed. Our data provide an unprecedented rich basis for further in-depth investigation on the physiological and genetic responses of B. subtilis to hyperosmotic stress.
2009-12-01 | GSE18345 | GEO
Project description:Bulk sludge of Osmotic membrane biorector Metagenomics
| PRJNA360174 | ENA
Project description:Expression profiling of the stress response of the marine Planctomycete Rhodopirellula baltica after a salinity up-shift. R. baltica cultures were grown at 28°C in mineral media with 17.5% salinity and up-shifted to 59.9%. Samples were taken after 10, 20, 40, 60 and 300min and compared with cultures before the up-shift.
2009-09-09 | GSE14075 | GEO
Project description:Membrane bioreactor (MBR) systems are typically known different from conventional activated sludge (CAS) systems in operational parameters, while current knowledge of their microbial differentiations is barely sufficient. To this end, the current study was launched to address the differences of the overall functional genes of an oxidation ditch (OD) and an MBR running parallelly at full-scale using a functional gene array-GeoChip 4.2. Two full-scale wastewater treatment systems applying the processes of oxidation ditch (OD) and membrane bioreactor (MBR) were investigated. They treated identical wastewater at the same scale. 12 mixed-liquor suspended sludge (MLSS) samples collected daily on 12 consecutive days from each system were analyzed by GeoChip 4.2.
2016-03-01 | E-GEOD-67307 | biostudies-arrayexpress
Project description:These research areas concentrate on stress induced proteases in recombinant Escherichia coli, glycosylation heterogeneity due to bioprocess conditions produced in mammalian cells, and metabolic engineering of E. coli. The hypothesis of this project is that recombinant protein glycosylation is inefficient under normal bioreactor conditions since the additional glycosylation reactions necessary for the recombinant protein exceed the metabolic capacity of the cells. Normal bioreactor conditions have been optimized for cell growth, and sometimes for protein productivity. Only recently has it been accepted that optimal glycosylation may not occur under optimal growth or protein productivity conditions. Specific Aim: Determine the relationship between bioreactor conditions and glycosylation gene expression in NS0 cells. EXPERIMENT: Mouse NS0 myeloma cells were grown in culture, stressed with 5 mM NaCl, 10 mM proline plus 5 mM ammonia, or 5 mM ammonia, along with an unstressed control group. The growth of the cultures were followed until the late exponential phase (90 hours), at which time two 50 mLs of cells were harvested and RNA extracted. Samples were prepared in triplicate, for a total of 12 samples. The RNA was amplified and labeled by Microarray Core (E) and hybridized to the GLYCOv3 microarrays.
2011-04-29 | E-GEOD-28920 | biostudies-arrayexpress
Project description:Whole-genome microarray technology and state-of-the-art proteomic techniques were applied to provide a global and time-resolved picture of the physiological response of B. subtilis cells exposed to a severe and sudden osmotic up-shift. This combined experimental approach provided quantitative data for 3961 mRNA profiles, 590 expression profiles of proteins detected in the cytosol and 383 expression profiles of proteins detected in the membrane fraction. Our study uncovered a well-coordinated induction of gene expression subsequent to an osmotic up-shift that involves large parts of the SigB, SigW, SigM and SigX regulons and additionally osmotic up-regulation of a large number of genes that do not belong to these regulons. In total, osmotic up-regulation of about 500 B. subtilis genes was observed. Our data provide an unprecedented rich basis for further in-depth investigation on the physiological and genetic responses of B. subtilis to hyperosmotic stress. Cells were grown in a minimal medium to early exponential phase and were then exposed to a strong osmotic up-shift by the addition of 6% (w/v) NaCl. Samples were taken before and 10, 30, 60 and 120 min subsequent to the addition of NaCl. Microarray hybridizations were performed with RNA from three biological replicates. The individual samples were labeled with Cy5; a reference pool consisting of equal amounts of RNA from all 15 samples was labeled with Cy3 (common reference design). After intensity-dependent (Lowess) normalization, the ratios of duplicate spots were averaged resulting in three biologically independent expression values per gene and time point.
2010-05-19 | E-GEOD-18345 | biostudies-arrayexpress
Project description:Improving anaerobic membrane bioreactor treatment of wastewater through membrane biofilm development
| PRJNA279974 | ENA
Project description:There is a great need for setting novel measurable attributes at the cell physiological level in a scalable biopharmaceutical production process to be able to predict the process outcomes and improve process understanding. In a biologic production process, changes in culture environment due to several factors such as shear and bubble induced damage from gas sparging and agitation are known to occur. There is a gap in the knowledge of cellular response due to varying bioreactor environment itself during the course of cell culture, from lag-phase to log-phase to stationary-phase in culture. With the emergence of micro-arrays as tools for exploring cell physiological changes, it opens the possibility for studying the effect of bioreactor culture environment itself on the cell substrate. Such information could be eventually used to designate gene transcripts as biomarkers for cell status in a controlled bioreactor system. A model 5L bench-scale bubble aerated and impeller agitated bioreactor system was used to study gene expression profiles of a hybridoma cell line during the time-course of batch culture. Gene expression profiles that were variable from early-to-late in batch culture, as well as invariant gene profiles were summarized using microarray findings. Typical cellular functions studied were oxidative stress response, DNA damage response, apoptosis, antioxidant activity, cellular metabolism, and protein folding. These findings were also verified with a more rigorous semi-quantitative RT-PCR technique. The results of this study suggest that under predefined bioreactor culture conditions, significant gene changes from lag to log to stationary phase could be identified, which could then be used to track the culture state.
2012-10-01 | GSE33062 | GEO