Dataset Information

GNPS - Extracts of 40 plants growing in Brazilian Amazon_POSITIVE_IONIZATION_MODE

ABSTRACT: Amazonian plant extracts analyzed by mass spectrometry in the positive ionization mode

INSTRUMENT(S): Liquid chromatography coupled to a Xevo G2-S Q-Tof mass spectrometer

ORGANISM(S): Pachystachys Spicata (ncbitaxon:1603663) Ficus Maxima (ncbitaxon:100557) Clidemia Hirta (ncbitaxon:263241) Ficus Sp. Inga Edulis (ncbitaxon:199163) Vatairea Guianensis (ncbitaxon:948959) Pueraria Phaseoloides Simaba Cedron Ludwigia Decurrens (ncbitaxon:1569007) Chamaecrista Diphylla (ncbitaxon:592599) Margaritaria Nobilis (ncbitaxon:681460) Eugenia Brasiliensis (ncbitaxon:1231846) Swietenia Macrophylla (ncbitaxon:43891) Momordica Charantia (ncbitaxon:3673) Zanthoxylum Rhoifolium (ncbitaxon:549434) Calycophyllum Spruceanum (ncbitaxon:271242) Brosimum Acutifolium (ncbitaxon:1835378) Phyllanthus Brasiliensis Mammea Americana (ncbitaxon:198777) Connarus Perrottetii Senna Multijuga (ncbitaxon:346403) Croton Matourensis (ncbitaxon:323067) Stryphnodendron Pulcherrimum (ncbitaxon:397652) Cecropia Obtusa (ncbitaxon:688039) Psychotria Colorata (ncbitaxon:2662166) Costus Arabicus (ncbitaxon:168179) Physalis Angulata (ncbitaxon:113208) Clibadium Sylvestre Myrcia Bracteata (ncbitaxon:1134151) Apuleia Leiocarpa (ncbitaxon:53829) Conceveiba Guianensis (ncbitaxon:316706) Cecropia Palmata (ncbitaxon:77072) Ipomoea Asarifolia (ncbitaxon:89639) Varronia Multispicata (ncbitaxon:992868) Chelonanthus Alatus (ncbitaxon:82716) Ficus Citrifolia (ncbitaxon:309283) Peperomia Pellucida (ncbitaxon:352190) Deguelia Nitidula Parkia Pendula (ncbitaxon:1905032) Justicia Secunda

SUBMITTER: Alice Rhelly Veloso Carvalho Sonia Pamplona Paulo Wender Portal Gomes Consuelo Yumiko Yoshioka e Silva Jose Diogo Evangelista Reis Milton Silva

PROVIDER: MSV000091038 | GNPS | Tue Jan 10 11:07:00 GMT 2023

REPOSITORIES: GNPS

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The interplay between pathogens and hosts has been studied for decades using targeted approaches such as the analysis of mutants and host immunological responses. Although much has been learned from such studies, they focus on individual pathways and fail to reveal the global effects of infection on the host. To alleviate this issue, high-throughput methods such as transcriptomics and proteomics have been used to study host-pathogen interactions. Recently, metabolomics was established as a new method to study changes in the biochemical composition of host tissues. We report a metabolomics study of Salmonella enterica serovar Typhimurium infection. We used Fourier Transform Ion Cyclotron Resonance Mass Spectrometry with Direct Infusion to reveal that dozens of host metabolic pathways are affected by Salmonella in a murine infection model. In particular, multiple host hormone pathways are disrupted. Our results identify unappreciated effects of infection on host metabolism and shed light on mechanisms used by Salmonella to cause disease, and by the host to counter infection. Female C57BL/6 mice were infected with Salmonella enterica serovar Typhimurium SL1344 cells by oral gavage. Feces and livers were collected and metabolites extracted using acetonitrile. For experiments with feces, samples were collected from 4 mice before and after infection. For liver experiments, 11 uninfected and 11 infected mice were used. Samples were combined into 3 groups of 3-4 mice each, resulting in the analysis of 3 group samples of uninfected and 3 of infected mice. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140 [PMID 19081807]). To identify differences in metabolite composition between uninfected and infected samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from uninfected and infected mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm. Data were analyzed by unpaired t tests with 95% confidence intervals.

Dataset Information

GNPS - Extracts of 40 plants growing in Brazilian Amazon_POSITIVE_IONIZATION_MODE

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets