Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
18
datasets available to search
ShareScore release 0.9.0
Dataset results
18 results for “metabolic fingerprinting”
Data from: Gut microbiome critically impacts PCB-induced changes in metabolic fingerprints and the hepatic transcriptome in mice
<p class="western"><span><span><span>Polychlorinated biphenyls (PCBs) are ubiquitously detected in the environment and have been linked to metabolic diseases. The liver serves as a central hub for the metabolism of xenobiotics and endogenous metabolites. Gut dysbiosis is recognized as a critical regulator of disease susceptibility, however, little is known regarding how PCBs and gut microbiome interact to modulate the interface between xenobiotic and intermediary metabolism. We hypothesized that the gut microbiome regulates PCBs-mediated changes in the metabolic fingerprints and hepatic transcriptome. Ninety-day-old female conventional (CV) and germ-free (GF) C57BL/6 mice were orally exposed to the PCB Fox River Mixture (synthetic PCB mixture, 6 or 30 mg/kg) or corn oil (vehicle control, 10 ml/kg), once daily for 3 consecutive days. Organs were collected 24 hours after the final dose. RNA-Seq was conducted on liver, and endogenous aqueous metabolites (amino acids, carbohydrates, and nucleotides) were measured in liver and serum by LC-MS. The primary factor in clustering the transcriptomic and metabolomic signatures within the same exposure was by enterotype. The numbers of PCB-regulated genes were higher in CV than in GF conditions. The prototypical target genes of the major xenobiotic-sensing transcription factors AhR, PXR, and CAR were more readily up-regulated by PCBs in CV than in GF conditions, indicating the effect of PCBs on the hepatic transcriptome act partly through the gut microbiome. Xenobiotic and steroid metabolism pathways were up-regulated, whereas response to incorrect proteins pathway was down-regulated by PCBs in a gut microbiome-dependent manner. At the high PCB dose, NADP and arginine appear to interact with drug-metabolizing enzymes (Cyp1-3 family, DhcR7, and Nqo1), which are highly correlated with <i>Anaerotruncus</i> and <i>Roseburia</i> in CV mice, providing a novel explanation of gut-liver interaction in toxicant exposures. In GF exposure groups, hepatic glucose was down-regulated, whereas fructose 6-phosphate and glucose 6-phosphate were up-regulated, indicating increased glucose utilization potentiated by lack of gut microbiota. Through querying the LINCS L1000 chemical database, Enrichr predicted that therapeutic drugs targeting the anti-inflammatory and ER stress pathways are potential remedies to mitigate PCB toxicity. In conclusion, our findings demonstrate that habitation of the gut microbiota drives PCBs-mediated hepatic responses, possibly due to crosstalk between gut and liver. </span></span></span></p>
Metabolic fingerprints for suboptimal mycorrhizal colonization in wild-type and the jasmonic acid deficient spr2 tomato mutant
<p>Raw data for metabolic fingerprinting of tomato roots by DLI-ESI-MS and GC-MS to examine the effect of mycorrhizal colonization on the global metabolic profile of WT and <em>spr2</em> mutant plants.</p>
Data from: Gut microbiome critically impacts PCB-induced changes in metabolic fingerprints and the hepatic transcriptome in mice
Open the record for dataset details and reuse information.
Fig. 3 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 3. Structures of five isomeric compounds with the molecular formula C30H42O7 and molecular mass 514.2931 found in the G44 sample.
Fig. 2 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 2. General chemical structure of a typical triterpene showing the position of various side chains and list of side chains typically found in Ganoderma.
Fig. 1 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 1. (a) Total ion chromatogram of G44 mushroom extract in ESI negative mode (b) Extracted ion chromatogram (EIC) of G44 mushroom extract in ESI negative mode.
Fig. 7 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 7. Supervised multivariate analysis of NMR data. A) OPLS score plot using Y-variable of QSI activity. The plot showed the separation of active and non-active samples along OPLS1 (left side active samples). B) The corresponding S-plot significant values for QSI activity without P. lehmanii samples. C) The corresponding Splot significant values for QSI activity without P. cumbalensis samples.
Fig. 6 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 6. PCA plot: The score plot of the principal component analysis (PCA) of 8 different species of banana passion fruits species shows a separation into four main groups.
Fig. 4 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 4. UHPLC chromatograms (340 nm) of the butanolic extract of Passiflora species. Bold numbers correspond to identified compounds, and numbers in italics to the m/z of unidentified compounds.
Fig. 2 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 2. The main differences for Passiflora samples can be observed in the aromatic region, suggesting a different composition of flavonoids and other polyphenolic compounds for each species.
Fig. 1. 1H in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 1. 1H NMR spectrum of Passiflora leave extract showing aliphatic, sugar and aromatic region and some assignments: ascorbic acid (I), proline (II), threonine (III), ethanol (IV), leucine (V) pipecolic acid (VI) and acetic acid (VIII) (A and B). Sugar region ascorbic acid (I) and glucose (X) (B and C). Phenolic region glucose (X), tyrosine (IX), 5-carboxymethyl-2,5-dihydrofuran-2-one (XI) shikimic acid (XII) (D). The whole NMR signals assignation can be consulted at Table 1 supporting information.
Metabolomics Fingerprinting and Metabolic Dynamics After HIV Infection
ClinicalTrials.gov study NCT01828268. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Fig. 5. Synchronized 2D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 5. Synchronized 2D PCA score plot of all 18 samples of Ganoderma mushroom.
Fig. 4. Synchronized 3D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 4. Synchronized 3D PCA plot of all 18 samples of Ganoderma mushroom.
Fig. 3 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 3. Barcoding of primary metabolites for banana passion fruit species.
Metabolic FingerPrinting
ClinicalTrials.gov study NCT05305729. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
Fig. 7 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 7. Heatmap of all the 70 metabolites identified in different strains of Ganoderma mushroom extracts in triplicate.
Fig. 5 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 5. Unreported flavonoids identified as major components from Passiflora lehmannii Apigenin-4′-O-β-glucopyranosyl, 8-C-β-(6″acetyl)-glucopyranoside (1) (A) and Passiflora uribei Apigenin-4-O-β-glucopyranosyl-8-C-β-neohesperidoside (2) (B). Arrows represent key HMBC correlations.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.