Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Select bacterial families assimilate the primary producer metabolite, azelaic acid

ABSTRACT: FT-ICR-MS data of 13C labeled azelaic acid metabolism in Phaebacter sp.

INSTRUMENT(S): solariX

ORGANISM(S): Phaeobacter (ncbitaxon:302485)

SUBMITTER: Shady Amin

PROVIDER: MSV000089221 | GNPS | Fri Apr 08 01:55:00 BST 2022

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Select bacterial families assimilate the primary producer metabolite, azelaic acid

Project description:FT-ICR-MS data of 13C labeled azelaic acid metabolism in Phaebacter sp.

2022-04-08 | MSV000089221 | MassIVE

CIP SILAC GeLC FT MS - Analysis of the membrane proteome of ciprofloxacin-resistant macrophages by stable isotope labeling with amino acids in cell culture (SILAC)

Project description:SILAC-based GeLC FT-ICR MS approach on Light labeled Ciprofloxacin-resistant J774 macrophage membrane proteome and Heavy labeled WT J774 macrophage membrane proteome (Fraction F2).

2013-02-19 | PRD000419 | Pride

Project description:13C labeled functional microorganisms in Periphyton

| PRJNA853165 | ENA

Mycelial nutrient transfer promotes bacterial co-metabolic organochlorine pesticide degradation in nutrient-deprived environments

Project description:Biotransformation of soil organochlorine pesticides (OCP) is often impeded by a lack of nutrients relevant for bacterial growth and/or co-metabolic OCP biotransformation. By providing space-filling mycelia, fungi promote contaminant biodegradation by facilitating bacterial dispersal and the mobilization and release of nutrients in the mycosphere. We here tested whether mycelial nutrient transfer from nutrient-rich to nutrient-deprived areas facilitates bacterial OCP degradation in a nutrient-deficient habitat. The legacy pesticide hexachlorocyclohexane (HCH), a non-HCH-degrading fungus (Fusarium equiseti K3), and a co-metabolically HCH-degrading bacterium (Sphingobium sp. S8) isolated from the same HCH-contaminated soil were used in spatially structured model ecosystems. Using 13C-labelled fungal biomass and protein-based stable isotope probing (protein-SIP), we traced the incorporation of 13C fungal metabolites into bacterial proteins while simultaneously determining the biotransformation of the HCH isomers. The relative isotope abundance (RIA, 7.1 – 14.2%), labeling ratio (LR, 0.13 – 0.35), and the shape of isotopic mass distribution profiles of bacterial peptides indicated the transfer of 13C-labeled fungal metabolites into bacterial proteins. Distinct 13C incorporation into the haloalkane dehalogenase (linB) and 2,5-dichloro-2,5-cyclohexadiene-1,4-diol dehydrogenase (LinC), as key enzymes in metabolic HCH degradation, underpin the role of mycelial nutrient transport and fungal-bacterial interactions for co-metabolic bacterial HCH degradation in heterogeneous habitats. Nutrient uptake from mycelia increased HCH removal by twofold as compared to bacterial monocultures. Fungal-bacterial interactions hence may play an important role in the co-metabolic biotransformation of OCP or recalcitrant micropollutants (MPs).

2023-02-24 | PXD038571 | Pride

Comparison of High-Resolution Fourier Transform Mass Spectrometry Platforms for Metabolite Annotation

Project description:Fourier transform ion cyclotron resonance (FT-ICR) and Orbitrap mass spectrometry (MS) are among the highest-performing analytical platforms in metabolomics. Their high mass measurement accuracy and mass resolving power enable detailed investigation of biological metabolomes. Non-targeted MS experiments, however, yield extremely complex datasets that make metabolite annotation very challenging, if not impossible. High-resolution accurate mass measurements greatly facilitate this process by reducing mass errors and spectral overlaps. When applied together with relative isotopic abundance (RIA) measurements, heuristic rules, and constraints during searches, the number of candidate elemental formula(s) can be significantly reduced. Here, we evaluate the performance of two leading analytical MS platforms, Orbitrap ID-X and 12T solariX FT-ICR mass spectrometers, in terms of mass accuracy and RIA measurements, and how these factors affect the assignment of the correct elemental formulae in metabolite annotation.

2021-05-05 | ST001778 | MetabolomicsWorkbench

Project description:Hg methylators in 13C-labeled OM DNA-SIP experiment

| PRJNA1252373 | ENA

Transcriptional profile of thermophilic bacteriophage GVE2 genes

Project description:To investigate the transcriptional profile of GVE2 genes, the viral genes were identified by DNA microarray with Cy5- or Cy3-dUTP-labeled cDNAs prepared from uninfected and GVE2-infected Geobacillus sp. E263 at 4 h p.i.. After hybridization with the Cy3-dUTP-labeled cDNAs from GVE2-infected Geobacillus sp. E263 at 4 h p.i., Cy5-dUTP-labeled cDNAs from uninfected Geobacillus sp. E263 as well as Cy3- dUTP-labeled yeast cDNAs and Hex DNA, many spots produced positive signals significantly above the background, while no signal appeared for the Cy5-dUTP-labeled cDNAs from uninfected Geobacillus sp. E263., indicating that the positive signals represented the GVE2 gene transcripts detectable by DNA microarray. The DNA fragments, detected to be positive in the reverse transcripts at 4 h p.i., contained 74.2% of the presumptive GVE2 ORFs. Keywords: Transcriptional profile of thermophilic bacteriophage at 4 h p.i.

2006-08-26 | GSE5577 | GEO

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

Project description:The patient-derived xenograft (PDX) mouse brain tumor model of glioblastoma (GBM) samples were analyzed by 2D MALDI FT ICR MSI.

2021-12-06 | ST002045 | MetabolomicsWorkbench

Single-cell metabolite detection and genomics reveals uncultivated talented producer.

Project description:The production of bioactive metabolites is increasingly recognized as an important function of host-associated bacteria. An example is defensive symbiosis that might account for much of the chemical richness of marine invertebrates including sponges (Porifera), 1 of the oldest metazoans. However, most bacterial members of sponge microbiomes have not been cultivated or sequenced, and therefore, remain unrecognized. Unequivocally linking metabolic functions to a cellular source in sponge microbiomes is, therefore, a challenge. Here, we report an analysis pipeline of microfluidic encapsulation, Raman microscopy, and integrated digital genomics (MERMAID) for an efficient identification of uncultivated producers. We applied this method to the chemically rich bacteriosponge (sponge that hosts a rich bacterial community) Theonella swinhoei, previously shown to contain 'Entotheonella' symbionts that produce most of the bioactive substances isolated from the sponge. As an exception, the antifungal aurantosides had remained unassigned to a source. Raman-guided single-bacterial analysis and sequencing revealed a cryptic, distinct multiproducer, 'Candidatus Poriflexus aureus' from a new Chloroflexi lineage as the aurantoside producer. Its exceptionally large genome contains numerous biosynthetic loci and suggested an even higher chemical richness of this sponge than previously appreciated. This study highlights the importance of complementary technologies to uncover microbiome functions, reveals remarkable parallels between distantly related symbionts of the same host, and adds functional support for diverse chemically prolific lineages being present in microbial dark matter.

| S-EPMC9802089 | biostudies-literature

Comparison of High-Resolution Fourier Transform Mass Spectrometry Platforms for Metabolite Annotation - C. elegans

2021-05-05 | ST001777 | MetabolomicsWorkbench