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1,108 results for “metabolome”
Fig. 2 in Ocotea complex: A metabolomic analysis of a Lauraceae genus
Fig. 2. HCPC analysis of alkaloids occurrence number in Ocotea species, in which (1) O. acutangula; (2) O. acutifolia; (3) O. atirrensis; (4) O. boldridgeiana; (5) O. brachybotra; (6) O. brenesii; (7) O. bucherii; (8) O. caesia; (11) O. duckei; (13) O. glaziovii; (14) O. gomezii; (15) O. haldrigiana; (16) O. insularis; (17) O. lancifolia; (18) O. leucoxylon; (19) O. macrophylla; (20) O. macropoda; (22) O. minarum; (23) O. puberula; (24) O. pulchella; (26) O. teleiandra; (27) O. variabilis; (28) O. velloziana; (29) O. venenosa; (30) O. sp; and overlapped black dot: O. caparari, O. caudata, O. formosa, O. meziana and O. insinuata.
Non-targeted metabolomics and transcriptomics reveal mechanisms of metabolic differences among roots, stems, and leaves of Cudrania tricuspidata
<p>We detected a total of 1254 metabolites from the three tissues of Cudrania roots, stems, and leaves, and all metabolites were annotated and classified into eight categories by the KEGG database: steroids, lipids, antibiotics, vitamins and cofactors, nucleic acids, peptides, carbohydrates, and organic acids. Flavonoid-rich roots and stems of Cudrania were significantly different from the transcripts of leaves. GO and KEGG enrichment analyses revealed that the differential genes were mainly enriched in Photosynthesis - antenna proteins, Zeatin biosynthesis, Flavone and flavonol biosynthesis, Monoterpenoid biosynthesis pathway. The expression of flavonoid and flavonol biosynthesis-related genes was significantly up-regulated in roots and stems. From the perspective of the differences in metabolites among roots, stems and leaves of Cudrania, it can provide a basis for revealing the material basis of the differences in medicinal properties and efficacy of different parts.</p>
G-Aligner: a graph-based feature alignment method for untargeted LC-MS-based metabolomics
<p>Benchmark datasets, manual annotation results, evaluation methods and results of the paper "G-Aligner: a graph-based feature alignment method for untargeted LC-MS-based metabolomics".</p>
SI_II_6_Metabolomics, reverse chemical ecology and wood science an integrated approach to explore the chemical diversity and natural durability of the tropical tree Sextonia rubra (Mez.) van der Werff (Lauraceae)
<p>Ce document présente les données supplémentaires générées lors de l'étude de la composition chimique et de la durabilité des tissus d'un Sextonia rubra.</p>
Fig. 3 in Glycine max (L.) Merr. (Soybean) metabolome responses to potassium availability
Fig. 3. Complete feature-based molecular network (FBMN) in global natural product social molecular networking (GNPS) of soybean trifoliate leaves and pod tissues, influenced by K+ availability. Nodes represent MS2 spectra and are connected based on spectral similarity defined (cosine score ≥ 0.8), matched fragment ion (5), and network TopK (10), encompassing 902 nodes and 1430 edges organised in 89 spectral molecular families. Large coloured nodes represent metabolites influ- enced by K+ nutrition identified by chemometrics models and representative chemical ontology.
Fig. 4 in Glycine max (L.) Merr. (Soybean) metabolome responses to potassium availability
Fig. 4. Isoflavonoids (isoflavones, coumestans and pterocarpans) and triterpenoid saponins (soyasaponins) as phytoalexins upregulated in soybean leaves under very low potassium availability.
Fig. 2 in Glycine max (L.) Merr. (Soybean) metabolome responses to potassium availability
Fig. 2. Soybean tissues representation and base peak intensity (BPI) mass chromatograms (UPLC-QToF-MSE) in negative ion mode (ESI-) displaying comparative metabolomic profile differences. The corresponding list of metabolites annotated in the chromatograms is available in Supplementary Data 1.
Fig. 1 in Glycine max (L.) Merr. (Soybean) metabolome responses to potassium availability
Fig. 1. Unsupervised and supervised chemometric models of UPLC-QTof-MSE data of soybeans under four soil K+ availability. These models allowed us to correlate the metabolomics data (404 and 221 molecular features to soybean leaves and pod tissues, respectively as X input) with ionomics (10 factors as Y input) coherently. (a) PCA-X&Y_A scatter plot of trifoliate leaves. (b) O2PLS-DA_B score plot highlighting the identified two clusters (C–I and C-II) of trifoliate leaves. (c) O2PLS-DA_B loading plot of trifoliate leaves, the loadings (factor) in the graph represents macro and micronutrients quantified by ICP-OES that contribute to the O2PLS-DA model. (d) PCA-X&Y_D scatter plot of soybean pod tissues. (e) O2PLS-DA_E score plot highlighting the identified four clusters (C–I, C-II, C-III, and C-IV) of soybean pod tissues. (f) O2PLS-DA_E loading plot of soybean pod tissues, the loadings (factor) in the graph represents nutrients quantified by ICP-OES that contribute to the O2PLS-DA model. List of abbreviations: LT – lower third leaves; MT – medium third leaves; UT– upper third leaves; IS - immature seeds; PV – pod valves; KVL – very low K+ availability; KL – low K+ availability; KM – medium K+ availability; KVH – very high K+ availability.
1H-NMR-based urine metabolomics of prostate cancer and benign prostatic hyperplasia
<p>This dataset was collected from patients diagnosed with prostate cancer (R-sample_number) and benign prostatic hyperplasia (T-sample_number) using 1H-NMR spectroscopy.</p> <p>For more details check our paper: https://doi.org/10.1016/j.heliyon.2024.e28949</p>
Metabolomic Profiling of Patients With Traumatic Brain Injury
ClinicalTrials.gov study NCT07292766. IPD Sharing: NO. Countries: 1. Publications: 3.
The Metabolomics of Intestinal Polyps of Different Pathological Types and TCM Syndromes and TCM Constitution Types
ClinicalTrials.gov study NCT02986308. IPD Sharing: NO. Countries: 1. Publications: 1.
A Metabolomics-based Study to Explore the Mechanism of Remission of Metabolic Syndrome Radical Resection of Colorectal Cancer
ClinicalTrials.gov study NCT06710314. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
NMR Metabolomics Study of Follicular Fluid of Oncological Patients
ClinicalTrials.gov study NCT04101981. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Severe and Cerebral Malaria Investigated Through Host Metabolomics
ClinicalTrials.gov study NCT02451904. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Metabolomic Profile and Proteasic Activity as Biomarkers for Early Detection of Arterial Vasospas in Arterial Vasospasm After Aneurysmal Subarachnoid Hemorrhage
ClinicalTrials.gov study NCT02397759. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Investigation of in Vivo Endogenous and/or Exogenous Production of Phenolic Metabolites Using (un)Targeted Metabolomics
ClinicalTrials.gov study NCT06028659. IPD Sharing: YES. Countries: 1. Publications: 1.
Metabolomics Fingerprinting and Metabolic Dynamics After HIV Infection
ClinicalTrials.gov study NCT01828268. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Effects of Almond Consumption on Cardiovascular, Metabolomic, and Microbiome Profiles in Millennials
ClinicalTrials.gov study NCT03084003. IPD Sharing: NO. Countries: 1. Publications: 29.
A Metabolomics-based Study to Explore the Mechanism of Remission of Metabolic Syndrome After Radical Gastrectomy
ClinicalTrials.gov study NCT06707714. IPD Sharing: NO. Countries: 1. Publications: 4.
Metabolomics During Testosterone Therapy
ClinicalTrials.gov study NCT01963390. IPD Sharing: Not stated. Countries: 1. Publications: 5.
ScienceDex guides
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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.