Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Baseline Proteomics Characterisation of Biomanufacturing Organism Halomonas Bluephagenesis

ABSTRACT: Biomanufacturing remains financially uncompetitive with the lower cost but higher carbon emitting hydrocarbon based chemical industry. Novel chassis organisms may enable cost reductions with respect to traditional chassis such as E. coli and so open an economic rout to low emission biomanufacturing. Extremophile bacteria exemplify that potential. Salt tolerant halomonas species thrive in conditions inimical to other organisms. Their adoption would eliminate the cost of sterilising equipment. Novel chassis are inevitably poorly understood in comparison to established organisms. Rapid characterisation and community data sharing will facilitate organisms’ adoption for biomanufacturing. This paper describes baseline proteomics data set for Halomonas bluephagenesis TD01 under active development for biomanufactoring. The data record comprises a newly sequenced genome for the organism; evidence for expression of 1150 proteins (30% of the proteome) including baseline quantification of 1050 proteins (27% of the proteome) and a spectral library enabling re-use for targeted proteomics assays. Protein data is annotated with KEGG Orthology enabling rapid matching of quantitative data to pathways of interest to biomanufacturing.

INSTRUMENT(S): Xevo G2-S QTof

ORGANISM(S): Halomonas Sp. Td01 Escherichia Coli Bacteria

SUBMITTER: Matthew Russell

LAB HEAD: Nigel Scrutton

PROVIDER: PXD030494 | Pride | 2022-07-11

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	05_Halo_F1.mzid.gz	Mzid
	05_Halo_F1.raw.zip	Raw
	05_Halo_F1_Pep3D_Spectrum.mzXML	Mzxml
	05_Halo_F1_Pep3D_Spectrum.pep.xml	Pepxml
	06_Halo_F2.mzid.gz	Mzid

Items per page:

1 - 5 of 296

Similar Datasets

Global cellular metabolic rewiring adapts Corynebacterium glutamicum to efficient non-natural substrate utilization

Project description:Efficient assimilation of renewable feedstocks is the cornerstone for achieving sustainable and economical microbial production of commodity chemicals. Unfortunately, most renewables are foreign to the cellular metabolism of classical industrial workhorses, resulting in unsatisfactory biomanufacturing performance. Here, Corynebacterium glutamicum was systematically engineered for rapid non-natural xylose metabolism and the underlying adaptations were elucidated by combining metabolic engineering, adaptive laboratory evolution and systems biology techniques. A plasmid-free, stable and efficient xylose-utilizing chassis strain, named CGS15, was reconstructed with both a rapid specific growth rate of 0.341 h-1 on xylose and an excellent co-utilization of glucose and xylose at a ratio of about 2:1. For the first time, we revealed a novel xylose regulatory mechanism by the endogenous transcription factor IpsA with global regulatory effects on C. glutamicum core carbon and energy metabolism. The coordination between the heterologous xylose metabolism and the endogenous carbon/energy metabolism both endowed cells with accelerated growth and released carbon catabolite repression. Finally, this chassis demonstrated great promise for lignocellulosic biorefinery applications by producing 97.1 g/L of the platform compound succinate from corn stalk hydrolysate with an average productivity of 8.09 g/L/h. This work provides an elegant paradigm to understand and engineer the metabolism of renewable substrates for sustainable biomanufacturing.

2022-10-03 | GSE184402 | GEO

Single-Cell RNA-Seq of Rheumatoid Arthritis Synovial Tissue

Project description:<p>Droplet-based single-cell RNA-seq has emerged as a powerful technique for massively parallel cellular profiling. While these approaches offer the exciting promise to deconvolute cellular heterogeneity in diseased tissues, the lack of cost-effective, reliable, and user-friendly instrumentation has hindered widespread adoption of droplet microfluidic techniques. To address this, we have developed a microfluidic control instrument that can be easily assembled from 3D printed parts and commercially available components costing approximately $575. We adapted this instrument for massively parallel scRNA-seq and deployed it in a clinical environment to perform single-cell transcriptome profiling of disaggregated synovial tissue from 5 rheumatoid arthritis patients. We sequenced 20,387 single cells from synovectomies, revealing 13 transcriptomically distinct clusters. These encompass a comprehensive and unbiased characterization of the autoimmune infiltrate, including inflammatory T and NK subsets that contribute to disease biology. Additionally, we identified fibroblast subpopulations that are demarcated via THY1 (CD90) and CD55 expression. Further experiments confirm that these represent synovial fibroblasts residing within the synovial intimal lining and subintimal lining, respectively, each under the influence of differing microenvironments. We envision that this instrument will have broad utility in basic and clinical settings, enabling low-cost and routine application of microfluidic techniques, and in particular single-cell transcriptome profiling.</p> <p>Reprinted from [Stephenson et al., Nature Communications, 2018], with permission from the Nature Publishing Group.</p>

| phs001529 | dbGaP

RNA-seq analysis of model-guided engineered Saccharomyces cerevisiae chassis for improved dicarboxylic acids (malic, succinic and fumaric acid) production.

Project description:Model-guided chassis strain design has the potential to accelerate cellfactory development. In this experiment genetic targets were identified in silico and implemented in vivo to design a yeast chassis strain for enhanced production of succinic, malic and fumaric acid. The phenotype of engineered chassis strains was further optimised through adaptive laboratory evolution. RNA-seq analysis of engineered yeast chassis strains, evolved strains and wild-type (CEN.PK background)was performed to determine the effect of engineered gene deletions and evolution on the transcriptome.

2021-07-01 | E-MTAB-9499 | biostudies-arrayexpress

An integrated 5'- and 3'-end RNA sequencing platform for high-throughput transcriptome quantitation and annotation

Project description:RNA-Seq provides an effective way to annotate and measure the transcriptome, but the combination of cost, analysis and end-mapping challenges has limited its adoption for high-throughput quantitation and annotation. Here, we present an integrated experimental and computational suite for transcriptome annotation and quantitation based on the sequencing of mRNA ends. It consists of: a novel, simple, one-step, strategy 5' RNA-Seq; an optimized library construction method for strand-specific 3' RNA-seq that reduces costs and time; and a complete computational analysis toolkit. We demonstrate the power and versatility of our approach to study the transcriptome of LPS stimulation in mouse dendritic cells, promoter structure of the TCRb locus in mouse T cells, and gene expression in circadian cycles in Drosophila. Our platform provides a comprehensive solution for high-throughput, cost-effective transcriptome quantification and end annotation. A study of 5' and 3' end RNA sequencing methods

2013-06-01 | E-GEOD-47207 | biostudies-arrayexpress

Promoter Identification and Optimization for the Response of Lactobacillus plantarum WCFS1 to the Gram-negative pathogen-associated molecule N-3-oxododecanoyl homoserine lactone

Project description: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. Considering this relationship, and considering the recent demonstration of the species L. plantarum WCFS1 as both a synthetic biology chassis and an organism capable of detecting a pathogen-associated QS molecule, we wanted to develop this organism as a QS sentinel. Using an approach combining techniques from both systems and synthetic biology, we identified a number of native QS response genes and altered associated promoter activity to tune the output of L. plantarum cultures exposed to N-3-oxododecanoyl homoserine lactone. The resulting engineered QS sentinel reinforces the potential of modified Lactic Acid Bacteria for use in human health promoting applications, and also demonstrates a simple rational workflow to engineer sentinel organisms to respond to any environmental or chemical stimuli.

2022-01-21 | GSE144084 | GEO

Project description:Adoption Study

| PRJNA593844 | ENA

Reconstruction and analysis genome-scale metabolic model of thermophilic fungus Myceliophthora thermophila

Project description:Myceliophthora thermophila is a thermophilic fungus with great biotechnological characteristics for industrial applications, which can degrade and utilize all major polysaccharides in plant biomass. Nowadays, it has been developing into a platform for production of enzyme, commodity chemicals and biofuels. Therefore, an accurate genome-scale metabolic model would be an accelerator for this fungus becoming a universal chassis for biomanufacturing. Here we present a genome-scale metabolic model for M. thermophila constructed using an auto-generating pipeline with consequent thorough manual curation. Temperature plays a basic and critical role for the microbe growth. we are particularly interested in the genome wide response at metabolic layer of M. thermophilia as it is a thermophlic fungus. To study the effects of temperature on metabolic characteristics of M. thermophila growth, the fungus was cultivated under different temperature. The metabolic rearrangement predicted using context-specific GEMs integrating transcriptome data.The developed model provides new insights into thermophilic fungi metabolism and highlights model-driven strain design to improve biotechnological applications of this thermophilic lignocellulosic fungus.

2022-09-14 | GSE184074 | GEO

Shutdown is a component of the Drosophila piRNA biogenesis machinery (RNA-seq)

Project description:In animals, the piRNA pathway preserves the integrity of gametic genomes, guarding them against the activity of mobile genetic elements. This innate immune mechanism relies on distinct genomic loci, termed piRNA clusters, to provide a molecular definition of transposons, enabling their discrimination from genes. piRNA clusters give rise to long, single-stranded precursors which are processed into primary piRNAs through an unknown mechanism. These can engage in an adaptive amplification loop, the ping-pong cycle, to optimize the content of small RNA populations via the generation of secondary piRNAs. Many proteins have been ascribed functions in either primary biogenesis or the ping-pong cycle, though for the most part the molecular functions of proteins implicated in these pathways remain obscure. Here, we link shutdown, a gene previously shown to be required for fertility in Drosophila, to the piRNA pathway. Analysis of knockdown phenotypes in both the germline and somatic compartments of the ovary demonstrate important roles for shutdown in both primary biogenesis and the ping-pong cycle. shutdown is a member of the FKBP family of immunophilins. Shu contains domains implicated in peptidyl-prolyl cis-trans isomerase activity and in the binding of HSP90-family chaperones, though the relevance of these domains to piRNA biogenesis is unknown. Analysis of mRNA expression in Drosophila OSS cells transfected with GFP dsRNA. One sample and replicate, used to establish the OSS baseline transcriptome in the presence of exogenous RNAi activity.

2012-06-30 | E-GEOD-38090 | biostudies-arrayexpress

Application and health economic analysis of plastic chassis in colorectal cancer patients with permanent enterostomy

Project description:Interventions: Experimental group:Plastic chassis;Control group:Clipping chassis Primary outcome(s): Ostomy Skin Tool Study Design: Non randomized control

| 86888 | ecrin-mdr-crc

Resource misallocation as a mediator of fitness costs in antibiotic resistance

Project description:Antimicrobial resistance (AMR) poses a threat to global health and the economy. Rifampicin resistant Mycobacterium tuberculosis accounts for a third of the global AMR burden. Gaining the upper hand on AMR requires a deeper understanding of the physiology of resistance. AMR often results in the erosion of normal cell function: a fitness cost. Identifying intervention points in the mechanisms underpinning the cost of resistance in M. tuberculosis could play a pivotal role in strengthening future treatment regimens. We used a collection of M. tuberculosis strains providing an evolutionary and phylogenetic snapshot of rifampicin resistance and subjected them to genome-wide transcriptomic and proteomic profiling to identify key perturbations of normal physiology. We found that a rifampicin resistance-conferring mutation in RpoB imparts considerable gene expression changes, many of which are mitigated by a compensatory mutation in RpoC. However, our data also provide evidence for pervasive epistasis: the same resistance mutation imposed a different fitness cost and functionally unrelated changes to gene expression in clinical strains from unrelated genetic backgrounds. Rather than functional changes in specific pathways, our data suggest that the fitness cost of rifampicin resistance stems from a misallocation of resources: the greater the departure from the wild type baseline proteome investment, the greater the fitness cost of rifampicin resistance in a given strain. We summarize these observations in the “Burden of Expression” hypothesis of fitness cost and provide evidence that it can be used for suppressing the emergence of rifampicin resistance.

2021-03-12 | PXD011568 | Pride