Proteomic analysis of various stages of fermentation of pea isolate in presence of Aspergillus oryzae
Ontology highlight
ABSTRACT:
ORGANISM(S): Cellular Organisms
SUBMITTER: Kishore Rajagopalan
PROVIDER: PXD038174 | JPOST Repository | Fri Mar 08 00:00:00 GMT 2024
REPOSITORIES: jPOST
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Project description:Seaweeds are attracting substantial interest as novel sources of sustainable food protein, as they are established sources of industrial hydrocolloids and have reasonable protein content. In this study we investigate the protein composition and quality of a seaweed protein extract (SPE) from Gigartina radula obtained as a side-stream from industrial carrageenan production. The SPE displayed low (<2%), but pH-dependent, aqueous solubility due to the harsh (heat and extreme pH) employed during extraction. Solubility was improved using buffer and detergent to facilitate proteomic characterization by quantitative LC-MS/MS. Proteomics revealed that the SPE was dominated by proteins related to light harvest and particularly rich in phycobiliproteins (44% relative molar abundance), where phycoerythrin was the most abundant (28%). Based on subcellular localization of identified proteins, the extraction method was evaluated as good for release of cellular protein. The SPE was found to be rich in essential amino acids (36-41%) and particularly in branched chain amino acids (22-24%) and thereby a potential source of nutritional food protein. Using bioinformatic prediction and structural modelling, we found that abundant proteins in the SPE contained high potential, novel emulsifier peptides with amphiphilic properties required to stabilize an oil/water interface. Based on this study, Gigartina could serve as a good candidate for extraction of sustainable and nutritious food protein and possibly be further processed to obtain a hydrolysate with good emulsifying properties for use in foods.
2022-09-26 | PXD034435 | Pride
Project description:Microorganisms can restructure their transcriptional output to adapt to environmental conditions by sensing endogenous metabolite pool. In this study, an Agilent customized microarray representing approximately 4,106 genes was used to study temporal transcript profiles of Bacillus subtilis in response to valine, glutamate and glutamine pulses. Amino-acid-regulated genes were identified having significantly changed expression at one or more time points in response to pulses of valine, glutamate, and glutamine, respectively, and Val-, Glu and Gln-specific genes were further distinguished from them. Different amino acid treatments were compared in terms of both the global temporal profiles and the 5-minute quick regulations, and between-experiment differential genes were identified. The highlighted genes were analyzed based on diverse sources of gene functions using a variety of computational tools, including T-profiler analysis, hierarchical clustering and enrichment of functional categories. The results revealed the common and distinct modes of action of these three amino acids, and should help to elucidate the specific signaling mechanism of each amino acid as an effector. Three amino acids (Glutamate, Glutamine, and Valine) were adopted to perturb the culture of subtilis. Four time-points were investigated for each perturbation. There are two replicates for the first time-point of Valine-treatment experiment.
2010-05-05 | E-GEOD-17243 | biostudies-arrayexpress
Project description:Background Lactococcus lactis is recognised as a safe (GRAS) microorganism and has hence gained interest in numerous biotechnological approaches. As it is fastidious for several amino acids, optimization of processes which involve this organism requires a thorough understanding of its metabolic regulations during multisubstrate growth. Results Using glucose limited continuous cultivations, specific growth rate dependent metabolism of L. Lactis including utilization of amino acids was studied based on extracellular metabolome, global transcriptome and proteome analysis. A new growth medium was designed with reduced amino acid concentrations to increase precision of measurements of consumption of amino acids. Consumption patterns were calculated for all 20 amino acids and measured carbon balance showed good fit of the data at all growth rates studied. It was observed that metabolism of L. lactis became more efficient with rising specific growth rate in the range 0.10 – 0.60 h-1, indicated by 30% increase in biomass yield based on glucose consumption, 50% increase in efficiency of nitrogen use for biomass synthesis, and 40% reduction in energy spilling. The latter was realized by decrease in the overall product formation and higher efficiency of incorporation of amino acids into biomass. L. lactis global transcriptome and proteome profiles showed good correlation supporting the general idea of transcription level control of bacterial metabolism, but the data indicated that substrate transport systems together with lower part of glycolysis in L. lactis were presumably under allosteric control. Conclusions The current study demonstrates advantages of the usage of strictly controlled continuous cultivation methods combined with multi-omics approach for quantitative understanding of amino acid and energy metabolism of Lactococcus lactis which is a valuable new knowledge for development of balanced growth media, gene manipulations for desired product formation etc. Moreover, collected dataset is an excellent input for developing metabolic models. For microarray analysis, steady state chemostat culture of L. lactis IL1403 was used as reference (? = 0.10 1/h). Subsequent quasi steady state points from A-stat experiment at specific growth rates 0.52 ± 0.03; 0.42 ± 0.02; 0.29 ± 0.01 1/h in biological duplicates and 0.17 1/h were compared to the reference sample.
2011-01-11 | E-GEOD-26536 | biostudies-arrayexpress
Project description:Adequate protein intake is crucial for animals. Despite the recent progress in understanding protein hunger and satiety in the fruit fly Drosophila melanogaster, how fruit flies assess prospective dietary protein sources and ensure protein consumption remains elusive. We show here that three specific amino acids, L-glutamate (L-Glu), L-alanine (L-Ala), and L-aspartate (L-Asp), but not the D-enantiomers, rapidly promote food consumption in fruit flies when present in food. The effect of dietary amino acids to promote food consumption is independent of mating experience and internal nutritional status. Calcium imaging experiments show that six brain neurons expressing diuretic hormone 44 (DH44) can be rapidly and directly activated by these three amino acids during feeding. Genetic analysis shows that DH44+ neurons are both necessary and sufficient for dietary amino acids to promote food consumption. By conducting single cell RNAseq analysis, we also identify a amino acid transporter, CG13248, which is highly expressed in DH44+ neurons and is required for dietary amino acids to promote food consumption. Therefore, these data suggest that dietary amino acids may enter DH44+ neurons via CG13248 and modulate their activity and hence food consumption. Taken together, these data identify an internal amino acid sensor in the fly brain that evaluate food sources post-ingestively and facilitates adequate protein intake. These results shed critical light on the regulation of protein homeostasis at organismal levels by the nervous system.
2018-05-04 | GSE113990 | GEO
Project description:Significant insight about biological networks arises from the study of network motifs âoverly abundant network subgraphs, but such wiring patterns do not specify when and how potential routes within a cellular network are used. To address this limitation, we introduce activity motifs, which capture patterns in the dynamic use of a network. Using this framework to analyze transcription in Saccharomyces cerevisiae metabolism, we find that cells use different timing activity motifs to optimize transcription timing in response to changing conditions: forward activation to produce metabolic compounds efficiently, backward shutoff to rapidly stop production of a detrimental product and synchronized activation for co-production of metabolites required for the same reaction Measuring protein abundance over a time course reveals that mRNA timing motifs also occur at the protein level. Timing motifs significantly overlap with binding activity motifs, where genes in a linear chain have ordered binding affinity to a transcription factor, suggesting a mechanism for ordered transcription. Finely timed transcriptional regulation is therefore abundant in yeast metabolism, optimizing the organism's adaptation to new environmental conditions. We generated a set of 13 time courses by measuring gene expression after a metabolic change. Yeast strain KCN118 (MATalpha ade2) was grown at 28 °C in 400 ml of synthetic complete media with 2% dextrose (SCD) to an OD600 of 0.6. Synthetic complete was prepared using the standard recipe, except 75 uM inositol was included. At OD600 of 0.6, 100 ml of cells were collected by centrifugation and frozen as a reference sample, and the remaining cells were rapidly collected by filtration, washed with distilled water and resuspended in 300 ml of one of the following media: SCE (SC + 2% ethanol), SCG (SC + 2% galactose), SM1 (SCD lacking amino acids A, R, N, C, Q, G, K, P, S, F and T), SM2 (SCD lacking amino acids L, I, V, W, H and M), S0 (SCD lacking all amino acids), S0G (no amino acids, 2% galactose) or S0E (no amino acids, 2% ethanol). The data appears in Figures 2 and 4 of the manuscript, as it relates to the global analysis of all the arrays used in the dataset. All time courses consist of the following time points (in min): 15, 30, 60, 120, 240, and were hybridized against the t = 0 time point of cells grown in SCD. Each time course was performed as one single biological replicate and one technological replicate, except where noted below. Specifically, the 13 time courses break down into the following groups: Media key: SCD (synthetic complete, not including inositol) SCE (SC + 2% ethanol) SCG (SC + 2% galactose) SM1 (SCD lacking amino acids A, R, N, C, Q, G, K, P, S, F and T) SM2 (SCD lacking amino acids L, I, V, W, H and M) S0 (SCD lacking all amino acids) S0G (no amino acids, 2% galactose) S0E (no amino acids, 2% ethanol). ino = inositol aa = all amino acids supplemented The following group descriptions are the media as described above, followed by the description as indicated in the long title of the individual arrays: 1. S0 (5 arrays) = SD 2. SCD (6 arrays, t = 240 min has 2 tech replicates) = SD+aa 3. SM2 (5 arrays) = SD+aa:ARNCQGKPSDEFTY+ino 4. SM1 + ino (5 arrays) = SD+aa:LIVWHM+ino 5. S0 + ino (6 arrays, t = 240 min has 2 tech replicates) = SD+ino 6. S0E (5 arrays) = SEtOH 7. S0E + aa (7 arrays, t = 240 min and 60 min each have 2 tech replicates) = SEtOH+aa 8. S0E + aa + ino (5 arrays) = SEtOH+aa+ino 9. S0E + ino (8 arrays, t = 240 min, 15 min and 30 min each have 2 tech replicates) = SEtOH+ino 10. S0G (5 arrays) = Sgal 11. S0G + aa (5 arrays) = Sgal+aa 12. S0G + aa + ino (5 arrays) = Sgal+aa+ino 13. S0G + ino (6 arrays, t = 60 min has 2 tech replicates) = Sgal+ino
2010-06-25 | E-GEOD-13219 | biostudies-arrayexpress
Project description:Background Lactococcus lactis is recognised as a safe (GRAS) microorganism and has hence gained interest in numerous biotechnological approaches. As it is fastidious for several amino acids, optimization of processes which involve this organism requires a thorough understanding of its metabolic regulations during multisubstrate growth. Results Using glucose limited continuous cultivations, specific growth rate dependent metabolism of L. Lactis including utilization of amino acids was studied based on extracellular metabolome, global transcriptome and proteome analysis. A new growth medium was designed with reduced amino acid concentrations to increase precision of measurements of consumption of amino acids. Consumption patterns were calculated for all 20 amino acids and measured carbon balance showed good fit of the data at all growth rates studied. It was observed that metabolism of L. lactis became more efficient with rising specific growth rate in the range 0.10 – 0.60 h-1, indicated by 30% increase in biomass yield based on glucose consumption, 50% increase in efficiency of nitrogen use for biomass synthesis, and 40% reduction in energy spilling. The latter was realized by decrease in the overall product formation and higher efficiency of incorporation of amino acids into biomass. L. lactis global transcriptome and proteome profiles showed good correlation supporting the general idea of transcription level control of bacterial metabolism, but the data indicated that substrate transport systems together with lower part of glycolysis in L. lactis were presumably under allosteric control. Conclusions The current study demonstrates advantages of the usage of strictly controlled continuous cultivation methods combined with multi-omics approach for quantitative understanding of amino acid and energy metabolism of Lactococcus lactis which is a valuable new knowledge for development of balanced growth media, gene manipulations for desired product formation etc. Moreover, collected dataset is an excellent input for developing metabolic models.
2011-01-11 | GSE26536 | GEO
Project description:The filamentous fungus Aspergillus oryzae is an important microbial cell factory for industrial production of useful enzymes, such as α-amylase. In order to optimize the industrial enzyme production process, there is a need to understand fundamental processes underlying protein production, here under how protein production links to metabolism through global regulatory structures. In this study, two α-amylase-producing strains of A. oryzae, a wild type strain and a transformant strain containing additional copies of the α-amylase gene, were characterized at a systematic level. Based on integrated analysis of ome-data together with genome-scale metabolic network and flux calculation, we identified key genes, key enzymes, key proteins, and key metabolites involved in the processes of protein synthesis and secretion, nucleotide metabolism, and amino acid metabolism that can be the potential targets for improving industrial protein production. Keywords: Two Aspergillus oryzae strains and two different carbon sources Two carbon sources (glucose, maltose) with three biological replicates for A. oryzae strain A1560 and strain CF1.1
2012-02-12 | E-GEOD-22566 | biostudies-arrayexpress
Project description:Ingestion of a diet with a restricted Methionine (MR) content results in robust activation of a set of browning genes in IWAT (inguinal white adipose tissue). So far, data were obtained using a mix of elemental amino acids as the dietary protein source, which was replaced in this experiment with casein. To reduce methionine content, casein was oxidized and methionine was added back to a concentration similar to the diets using elemental amino acids as protein source. Results show that mice reduce body weight and adiposity on MR containing oxidized casein similar to MR containing elemental amino acids. Similarly, energy expenditure, as well as food and water intake were increased. The RNAseq experiment was conducted to compare the effect of MR using these two protein sources on the IWAT transcriptome.
2021-06-09 | GSE162917 | GEO
Project description:Microorganisms can restructure their transcriptional output to adapt to environmental conditions by sensing endogenous metabolite pool. In this study, an Agilent customized microarray representing approximately 4,106 genes was used to study temporal transcript profiles of Bacillus subtilis in response to valine, glutamate and glutamine pulses. Amino-acid-regulated genes were identified having significantly changed expression at one or more time points in response to pulses of valine, glutamate, and glutamine, respectively, and Val-, Glu and Gln-specific genes were further distinguished from them. Different amino acid treatments were compared in terms of both the global temporal profiles and the 5-minute quick regulations, and between-experiment differential genes were identified. The highlighted genes were analyzed based on diverse sources of gene functions using a variety of computational tools, including T-profiler analysis, hierarchical clustering and enrichment of functional categories. The results revealed the common and distinct modes of action of these three amino acids, and should help to elucidate the specific signaling mechanism of each amino acid as an effector.
2009-09-09 | GSE17243 | GEO
Project description:Ingestion of a diet with a restricted Methionine (MR) content results in robust activation of hepatic stress pathways regulated by PERK, ATF4, and Nfe2l2. In addition, genes regulating hepatic lipogenesis are downregulated. So far, data were obtained using a mix of elemental amino acids as the dietary protein source, which was replaced in this experiment with casein. To reduce methionine content, casein was oxidized and methionine was added back to a concentration similar to the diets using elemental amino acids as protein source. Results show that mice reduce body weight and adiposity on MR containing oxidized casein similar to MR containing elemental amino acids. Similarly, energy expenditure, as well as food and water intake were increased. The RNAseq experiment was conducted to compare the effect of MR using these two protein sources on the hepatic transcriptome.
2021-06-09 | GSE162918 | GEO