Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A robust method for performing 1H-NMR lipidomics in embryonic zebrafish

ABSTRACT: The embryonic zebrafish is an ideal system for lipid analyses with relevance to many areas of bioscience research, including biomarkers and therapeutics. Research in this area has been hampered by difficulties in extracting, identifying and quantifying lipids. We employed 1H-NMR at 700MHz to profile lipids in developing zebrafish embryos. The optimal method for lipidomics in embryonic zebrafish incorporated rapid lipid extraction using chloroform and an environment without oxygen depletion. Pools of 10 embryos gave the most acceptable signal-to-noise ratio, and the inclusion of chorions in the sample had no significant effect on lipid abundances. Embryos, bisected into cranial (head and yolk sac) and caudal (tail) regions, were compared by principal component analysis and analysis of variance.

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -

SUBMITTER: Marie Margaret Phelan

PROVIDER: MTBLS2396 | MetaboLights | 2024-07-02

REPOSITORIES: MetaboLights

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	MTBLS2396	Other
	FILES	Other
	a_MTBLS2396_NMR___metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS2396_NMR___metabolite_profiling_v2_maf.tsv	Tabular

Items per page:

1 - 5 of 6

Similar Datasets

Project description:Extracting pig feces for metagenomic research

| PRJNA1043762 | ENA

Expression data in liver from germ-free and conventional mice fed lard or fish oil for 11 weeks

Project description:Dietary lipids and gut microbiota may both influence adipose tissue physiology. By feeding conventional and germ-free mice high fat diets with different lipid compositon we aimed to investigate how dietary lipids and the gut microbiota interact to influence inflammation and metabolism in the liver Wild-type C57Bl/6 male mice 11 weeks of age were fed isocaloric diets (45% kcal fat) with either menhaden fish oil (Research Diets, D05122102) or lard (Research Diets, D10011202) for 11 weeks. Liver samples were harvested at the end of the experiment and analyzed by microarray.

2016-02-29 | E-GEOD-73195 | biostudies-arrayexpress

Expression data from germ-free and conventional mice fed lard or fish oil for 11 weeks

Project description:Dietary lipids and gut microbiota may both influence adipose tissue physiology. By feeding conventional and germ-free mice high fat diets with different lipid compositon we aimed to investigate how dietary lipids and the gut microbiota interact to influence inflammation and metabolism in epididymal adipiose tissue (EWAT) Wild-type C57Bl/6 male mice 11 weeks of age were fed isocaloric diets (45% kcal fat) with either menhaden fish oil (Research Diets, D05122102) or lard (Research Diets, D10011202) for 11 weeks. Epididymal WAT samples were harvested at the end of the experiment and analyzed by microarray.

2015-07-14 | E-GEOD-70922 | biostudies-arrayexpress

Mouse and zebrafish genes in vitro and in vivo

2013-01-01 | GSE32428 | GEO

Evaluation of sample preparation protocols for quantitative NMR-based metabolomics

Project description:INTRODUCTION: Quantification of metabolites in biological fluids and tissues by NMR spectroscopy is challenged by the presence of abundant macromolecules and lipoproteins in samples, which give broad signals in the NMR spectra. To improve the quality of NMR spectra the different protocols for protein and lipid removal from the sample are used.OBJECTIVES: This work is aimed at the evaluation of the effectiveness of various methods of purification of blood serum from proteins and lipids for 1H NMR metabolomic profiling.METHODS: The advantages and limitations of different methods of the sample preparation for NMR-based quantitative metabolomics have been compared, including ultrafiltration, methanol and ethanol extractions with and without additional lipid removal, and methanol-chloroform extraction.RESULTS: The concentrations of 30 abundant metabolites extracted from human blood serum have been measured. It is found that ultrafiltration provides the best lipid removal, but causes significant and inhomogeneous metabolite losses. Ethanol and methanol extractions demonstrate similar performance with the minimal metabolite losses, and are ideal for fluids and tissues with low lipid content. The additional purification of alcohol extracts from lipids allows for the significant improving of NMR spectra, but causes additional metabolite losses.CONCLUSIONS: The methanol-chloroform extraction seems to be an optimal method for tissues with the high lipid content, providing a satisfactory lipid removal and low metabolite losses. The ultrafiltration leads to large losses of metabolites (up to 60 %) and for this reason is not suitable for quantitative analysis.

2024-07-11 | MTBLS847 | MetaboLights

Integrative analysis of genomics and proteomics data on clinical breast cancer tissue specimens extracted with acid guanidinium thiocyanate-phenol-chloroform

Project description:Acid guanidinium thiocyanate, phenol and chloroform extraction (AGPC) is a commonly used procedure to extract RNA from fresh frozen tissues and cell lines. In addition, DNA and proteins can be recovered, which makes AGPC an attractive source for integrative analysis on tissues of which little material is available, such as clinical specimens. Despite this potential, AGPC has only scarcely been used for proteomic analysis, mainly due to difficulties in extracting proteins. We have used a quantitative mass spectrometry method to show that proteins can readily be recovered from AGPC extracted tissues with high recovery and repeatability, which allows this method to be used for global proteomic profiling. Protein expression data for a selected number of clinically relevant markers, of which transcript and protein levels are known to be correlated, was in agreement with genomic and transcriptomic data obtained from the same AGPC lysate. Furthermore, global proteomic profiling successfully discriminated breast tumor tissues according to their clinical subtype. Lastly, a reference gene set of differentially expressed transcripts was strongly enriched in the differentially abundant proteins in our cohort. AGPC lysates are therefore well suited for comparative protein and integrative analyses.

2016-06-24 | PXD001533 | Pride

RaynaNolen_2024_PFOS_Zebrafish_GEMs

Project description:Condition specific zebrafish metabolic models generated using the COBRA MetaboTools framework. The Wang et al., (2021) zebrafish genome-scale metabolic model (GEM) was constrained with experimental data from 5 days post fertilized (dpf) zebrafish to generate a 'base-model'. In turn this 5 dpf zebrafish base-model was constrained with experimental (transcriptomics and metabolomics) data from 5 dpf zebrafish exposed to the environmental pollutant perfluorooctane sulfonate (PFOS), at three levels - Low (0.06 uM), Medium (0.6 uM), and High (2 uM) PFOS. The MetaboTools framework was used to construct three condition-sepcific models: Low, Medium, and High PFOS. Key simulation predictions of effects on the carnitine shuttle and lipid metabolism were confirmed in wild-caught fish and dolphins (stranded animals) sampled from the northern Gulf of Mexico - published in Nolen et al., (2024) https://doi.org/10.1016/j.cbpc.2023.109817

2024-03-04 | MODEL2403010004 | BioModels

Identification and Evaluation of a Phage Cocktail with High Lytic Activity Against Escherichia coli including Extended-Spectrum Beta-Lactamase (ESBL)- Producing Isolates - A Preclinical Study

Project description:IDEAL-EC

| PRJEB52703 | ENA

Mouse and zebrafish genes in vitro and in vivo

Project description:Gene expression of mouse cells was studied by extracting total RNA from cultured mouse mesenchymal stem cells (MSCs) and zebrafish injected with mouse MSCs, in addition the host response was studied by hybridizing the zebrafish RNA to zebrafish arrays. Two-condition experiment, low passage MSCs vs high passage MSCs and tumorigenic MSCs, in vitro and inside zebrafish embryos.

2013-01-01 | E-GEOD-32428 | biostudies-arrayexpress

Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 2A)

Project description:Lipids comprise 70% of the myelin sheath, and autoantibodies against lipids may contribute to the demyelination that characterizes multiple sclerosis (MS). We used lipid antigen microarrays and lipid mass spectrometry to identify bona fide lipid targets of the autoimmune response in MS brain and an animal model of MS to explore the role of the identified lipids in autoimmune demyelination. We found that autoantibodies in MS target a phosphate group in phosphatidylserine and oxidized phosphatidylcholine derivatives. Administration of these lipids ameliorated experimental autoimmune encephalomyelitis by suppressing activation and inducing apoptosis of autoreactive T cells, effects mediated by the lipids' saturated fatty-acid side chains. Thus, phospholipids represent a natural anti-inflammatory class of compounds that have potential as novel therapeutics for MS. Fig. 2A. Mini-Array I: IgG antibody reactivity to various glycero-3-phosphocholine lipids in CSF samples from patients with relapsing remitting MS and from control patients with other neurological disease. Lipid hits with the lowest FDR (q=0.029) were clustered according to their reactivity profiles. 47 different lipids were custom-spotted in duplicate using the CAMAG Automatic TLC Sampler (ATS4) robot to spray 200 nl of 10 to 100 pmol of lipids onto PVDF membranes affixed to the surface of microscope slides. The slides were probed with cerebrospinal fluid (CSF) from 24 human patient samples. 25 slides total: 13 relapsing-remitting MS, 11 other neurological disease, and 1 secondary Ab alone (not included in this submission). CSF diluted 1/20. HRP-conjugated secondary Ab (goat anti-human IgM/IgG) diluted 1/175. ECL for 3 minutes.

2012-05-08 | E-GEOD-37670 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data