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115 results for “Chemical Profiles”
Inter-Chemical Correlation results for the study: HHEARx2016-1431 (Sex-Specific Omics Profiles Related to Toxicant Exposures in Children)
Title: Sex-Specific Omics Profiles Related to Toxicant Exposures in Children <br>Species: Homo sapiens <br>Number of samples: 887 <br>Number of named analytes: 8 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=4 <br>
Data on physico-chemical quality and microbial community level physiological profiles of drinking water and freshwater resources in Mega Manila Philippines
<p><strong>Samples of drinking water and freshwater resources in Mega Manila, Philippines were analyzed for physical and chemical quality as well as physiological profiles of microbial communities. Temperature, pH, oxidation-reduction potential, absolute conductivity, resistivity, total dissolved solids, salinity, pressure, and dissolved oxygen were measured using a multi-parameter probe and reported as averages from three biological replicates per sample. Detection and quantification of arsenic were carried out via 3114 B: Hydride Generation AAS method, while analysis for lead and cadmium was carried out via 3111 B: Direct Air-Acetylene Flame method. Detection and quantification of mercury was performed via Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Detection and quantification of polyaromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) were carried out via Gas Chromatography-Mass Spectrometry (GC-MS) and Gas Chromatography-Electron Capture Detection (GC-ECD). Assessment of the physiological activities of microbial communities in the water samples was done using the Biolog EcoPlateTM system. Eight samples returned less than the minimum detection limit for analysis of heavy metals and no samples contained polyaromatic hydrocarbons and organochlorine pesticides. In terms of microbial community physiological profiles, 66% of the samples (19 out 29) are found to demonstrate consistent increases in AMR and CMD over time. These data can be reused as comparators for retrospective and prospective quality assessments of drinking water and freshwater sources.</strong></p>
Fig. 3.—Dendrogram obtained after a in Chemical profile of the cutaneous gland secretions from male pampas deer (Ozotoceros bezoarticus)
Fig. 3.—Dendrogram obtained after a hierarchical cluster analysis on the 143 compounds found. Data were obtained from gas chromatographic–mass spectrometry analyses of samples from the preorbital, tarsal, and digital glands, and back hairs of 6 adult and 5 yearling male pampas deer that were collected during the breeding season (March in the Southern Hemisphere). Animals are consecutively numerated as yearling (Y) from 1 to 5 (Y1–Y5) and adults (A) from 6 to 11 (A6– A11). Agglomerative coefficient equals 0.15.
Fig. 2 in Chemical profile of the cutaneous gland secretions from male pampas deer (Ozotoceros bezoarticus)
Fig. 2.—Typical gas chromatography–mass spectrometry traces of gland secretions from a yearling pampas deer. Samples were collected during the breeding season (March in the Southern Hemisphere). The traces show the absence of lateral differences between secretions from digital, tarsal, and preorbital glands: upper traces are left secretions and lower are right.
Fig. 1 in Chemical profile of the cutaneous gland secretions from male pampas deer (Ozotoceros bezoarticus)
Fig. 1.—Detailed gas chromatography–mass spectrometry traces of the 4 kinds of samples analyzed. Samples were collected during the breeding season (March in the Southern Hemisphere). Total ion chromatograms obtained from samples (preorbital, tarsal, and digital glands, and back hairs) from the same adult individual are shown. Magnified regions show the time range where a) short-chained compounds, b) esters, and c) fatty alcohols and sterols concentrate. Peak numbers show the most abundant or ubiquitous compounds and are as in Table 1 (XIII is a sulphurcontaining compound, LXI–LXII and CVI are fatty alcohols, C is an hydrocarbon, CII is squalene, CIX is a sterol, and CXX is cholesterol).
Fig. 4 in Chemical profile of the cutaneous gland secretions from male pampas deer (Ozotoceros bezoarticus)
Fig. 4.—Compound classes that exhibited significant differences related to sample origin. Different letters on columns indicate significant differences (P <0.05, MANOVA). Data were obtained from samples from the preorbital, tarsal, and digital glands, and back hairs of 6 adult and 5 yearling male pampas deer that were collected during the breeding season (March in the Southern Hemisphere).
Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity
<p>Raw data for Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity </p>
Fig. 2. Chemical structures for terpenes detected from branch tip samples. Numbering follows Table 1 in Headspace GC-MS analysis of differences in intra- and interspecific Terpene profiles of Picea pungens Engelm. and P. abies (L.) Karst
Fig. 2. Chemical structures for terpenes detected from branch tip samples. Numbering follows Table 1 (elution order).
Fig. 3 in Ecological fitting: Chemical profiles of plant hosts provide insights on selection cues and preferences for a major buprestid pest
Fig. 3. Average time spent (s ± 1SE) of gravid emerald ash borer females (Agrilus planipennis) in arms of Y-tube olfactometer with foliage emissions of olive (OL, Olea europaea), white fringetree (WF, Chionanthus virginica), green ash (GA, Fraxinus pennsylvanica), Manchurian ash (MA, F. mandshurica) or blank air (BL). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Ecological fitting: Chemical profiles of plant hosts provide insights on selection cues and preferences for a major buprestid pest
Fig. 1. Mean emission rates of volatiles (ng/hour/g/foliage ± 1SE) of black ash (BA, Fraxinus nigra), blue ash (Blue, F. quadrangulata), Manchurian ash (MA, F. mandshurica), olive (OL, Olea europaea), and white fringetree (WF, Chionanthus virginicus), five plant hosts of emerald ash borer (Agrilus planipennis) collected in summer 2017. a) Overall plant profiles, b) antennally active compounds c) Green leaf volatile (GLV) profiles, d) sesquiterpene profiles, and e) Monoterpene profiles. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Ecological fitting: Chemical profiles of plant hosts provide insights on selection cues and preferences for a major buprestid pest
Fig. 2. Ordination (nonmetric multidimensional scaling) plots of volatiles profiles of black ash (BA, Fraxinus nigra), blue ash (Blue, F. quadrangulata), Manchurian ash (MA, F. mandshurica), olive (OL, Olea europaea), and white fringetree (WF, Chionanthus virginicus), five plant hosts of emerald ash borer (Agrilus planipennis). a) Overall plant profiles, b) Green leaf volatile (GLV) profiles, c) monoterpene profiles, d) sesquiterpene profiles, and e) antennally active compounds. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Chemical profiles of Leach's storm-petrel (Oceanodroma leucorhoa) feathers collected on Bon Portage Island, Nova Scotia, Canada
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Data from: The influence of slavemaking lifestyle, caste and sex on chemical profiles in Temnothorax ants: insights into the evolution of cuticular hydrocarbons
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Chemical profiling of milkweed and monarch butterfly wing extracts via mass spectrometry
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Figure 6 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Figure 6 Structures of amino acids from GP phenolic fraction "C", optimized at B3LYP/6-31+G(d,p) level.
Figure 3 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Figure 3 Acyclovir triphosphate and its vicinity in the DNA polymerase pocket after docking procedure: a) 3D plane of view and b) 2D plane of view. The interactions of the ligand in the active site cavity are represented as follows: the proximity contour is depicted with a black dotted line; solvent accessibility, as blue clouds around atoms or blue shadows around amino acid residues; polar amino acids are displayed with pink, while the lipophilic ones are in green. Basic amino acids are outlined with blue and the acidic – with red. Hydrogen bond interactions are depicted with dotted arrows, while the ionic ones are depicted with dotted lines.
Figure 2 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Figure 2 Phenolic (trans-ferulic) acid and its vicinity after docking procedure. The amino acid residues of HSV-1 DNA polymerase active site, mostly involved in interaction with ligands, are represented as follows: Lis928 is basic amino acid right from the ligand, Glu 927 is above it, basic amino acid on the left is Lis 939 and Asp 886 is in its right.
Supplementary material 1 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Tables S1–S3 and Figures S1–S4
Figure 8 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Figure 8 Complex of acyclovir triphosphate and amino acids from DNA polymerase active site, optimized at B3LYP/6-31+G(d,p) level.
Figure 7 from: Todorova N, Rangelov M, Dincheva I, Badjakov I, Enchev V, Markova N (2022) Potential of hydroxybenzoic acids from Graptopetalum paraguayense for inhibiting of herpes simplex virus DNA polymerase – metabolome profiling, molecular docking and quantum-chemical analysis. Pharmacia 69(1): 113-123. https://doi.org/10.3897/pharmacia.69.e79467
Figure 7 Complexes of phenolic acids from GP phenolic fraction "C" and amino acids from DNA polymerase active site, optimized at B3LYP/6-31+G(d,p) level.
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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.