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.
606
datasets available to search
ShareScore release 0.7.1
Dataset results
606 results for “Bioactivation”
Fig. 2 in Bioactive diterpenoid metabolism and cytotoxic activities of genetically transformed Euphorbia lathyris roots
Fig. 2. Base peak chromatograms of transformed E. lathyris roots compared to wild-type plant roots and aerial parts with putatively assigned metabolites that are structurally related to ingenol.
Fig. 4 in Bioactive diterpenoid metabolism and cytotoxic activities of genetically transformed Euphorbia lathyris roots
Fig. 4. Bioinformatic analysis and chemical elicitation of early diterpenoid biosynthetic genes expressed in transformed E. lathyris roots. Comparison of the deduced amino acid sequences of (a) ElFPS and (b) ElGGPS highlighting two conserved aspartate-rich domains [DDxx(xx)D]. (c) Comparison of the deduced amino acid sequence of ElCS highlighting a conserved [DDxxD] motif that is essential to the cyclization functionalities of terpene synthases. (d) Time course of E. lathyris diterpenoid biosynthetic gene transcript levels in transformed root cultures treated with 100 μM methyl jasmonate. Asterisks indicate statistical significance in comparison to 0 h control assessed by one-way ANOVA (**,P <0.01; *,P <0.05).
Fig. 3 in Bioactive diterpenoid metabolism and cytotoxic activities of genetically transformed Euphorbia lathyris roots
Fig. 3. The MS/MS (fragmentation) data of m/z 477.2732 aided in the putative assignment of compound 8 as 15-O-acetyl-3-O-iso-butyryljolkinol-5β,6β-oxide. The fragmentation structures and m/z values correspond to each other (i.e. structures and peaks A-D).
Fig. 7 in Bioactive terpenoid constituents from Eclipta prostrata
Fig. 7. Experimental ECD spectrum of 6 (black) compared with the calculated ECD spectra of 6 (red) and its enantiomer (blue). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Bioactive terpenoid constituents from Eclipta prostrata
Fig. 5. Experimental ECD spectrum of 5 (black) compared with the calculated ECD spectra of 5 (red) and its enantiomer (blue). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Bioactive terpenoid constituents from Eclipta prostrata
Fig. 3. Experimental ECD spectrum of 1 (black) compared with the calculated ECD spectra of 1 (red) and its enantiomer (blue). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Previously undescribed pyridyl-steroidal glycoalkaloids and 23S,26R-hydroxylated spirostanoid saponin from the fruits of Solanum violaceum ortega and their bioactivities
Fig. 5. Apoptosis induced by 9 in MCF-7 cells. [Q3: The early stage of apoptosis (FITC positive, PI negative) Q2: The late stage of apoptosis (FITC positive, PI positive) Q4: The live cells (FITC negative, PI negative)].
Fig. 6 in Eupholides A H, abietane diterpenoids from the roots of Euphorbia fischeriana, and their bioactivities
Fig. 6. The inhibitory effects of diterpenoids 1–15 on HCE 2 (a). The inhibitory effects of diterpenoids 7 (b), 10 (c), and 12 (d) on HCE 2.
Fig. 4 in Bioactive dammarane triterpenoid saponins from the leaves of Cyclocarya paliurus
Fig. 4. Plots of ν versus the concentration of α-glucosidase of 4 (A), 9 (B), 10 (C), 11 (D) and acarbose (E), and Lineweaver Burk plots for α-glucosidase inhibition of 4 (F), 9 (G), 10 (H), 11 (I) and acarbose (J).
Fig. 5 in Bioactive dammarane triterpenoid saponins from the leaves of Cyclocarya paliurus
Fig. 5. Docking simulation of the binding position of 4 (A) and 10 (A′); Corresponding secondary structures of α-glucosidase interact with 4 (B) and 10 (B′). Corresponding amino acid residues of α-glucosidase interacted with 4 (C) and 10 (C′). The short dotted yellow line stands for hydrogen bonds. The purple stick structures were used to represent 4 and the aurantium stick structures were used to represent 10 while the green stick denotes the residues of α-glucosidase. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Bioactive ent-isopimarane diterpenoids from Euphorbia neriifolia
Fig. 5. Calculated and experimental ECD spectra of 1−5 (a) σ = 0.29 eV; UV shift = 15 nm. (b) σ = 0.30 eV; UV shift = 5 nm. (c) σ = 0.29 eV; UV shift = 10 nm. (d) σ = 0.31 eV; UV shift = 5 nm. (e) σ = 0.32 eV; UV shift = 13 nm.
Fig. 3 in Bioactive sulfur-containing compounds from Xanthium sibiricum, including a revision of the structure of xanthiazinone
Fig. 3. Perspective drawing of the X-ray structures of 1–3, 5, and 7 (with thermal ellipsoid probability of 30%).
Fig. 6 in Bioactive chemical constituents from the seed testa of Vernicia fordii as potential neuroinflammatory inhibitors
Fig. 6. (A) The experimental ECD spectra of 6 and 7; (B) The experimental and calculated ECD spectra of 6; (C) The experimental and calculated ECD spectra of 8.
Fig. 9 in Bioactive chemical constituents from the seed testa of Vernicia fordii as potential neuroinflammatory inhibitors
Fig. 9. Effects of the bioactive components (9, 10, 16, and 18) on LPS-induced TNF-α, IL-1β and IL-6 overexpression in microglial cells. BV-2 microglial cells were pretreated with tested compounds (10 μM) for 2 h and then stimulated with LPS (100 ng/mL) for 24 h. Total RNA was isolated 4 h after LPS treatment and the mRNA levels of TNF-α, IL-1β and IL-6 were measured by qRT-PCR. Data are expressed as means ± SEM (n = 4). #P <0.001 compared with the untreated cells (control group); *P <0.05 compared with the cells treated with LPS alone (LPS group).
Fig. 8 in Bioactive chemical constituents from the seed testa of Vernicia fordii as potential neuroinflammatory inhibitors
Fig. 8. Effects of the extracts and bioactive compounds 3–5, 9–12, 15–17, 18, 21 and 23 on LPS-induced NO production in microglial cells. (A) Inhibitory effects of the extracts. (B) Inhibitory effects of the identified compounds 3–5, 9–12, 15–17, 18, 21 and 23. (BV-2 cells were treated with tested samples in the presence of LPS (100 ng/mL) for 24 h. NO production was tested by Griess reaction. Data are expressed as means ± SEM (n = 3). # P <0.05 compared with the control group, *P <0.05 compared with LPS group. YTK: 70% ethanol crude extract; YTK-1: petroleum ether extract; YTK-2: ethyl acetate extract; YTK-3: n-butanol extract; Mino: minocycline using as positive control).
Fig. 8 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 8. Reaction scheme for the formation of BOH (6) and BCOOH (8) from reactive benzaldehyde through a Cannizzaro type reaction, catalyzed by a benzaldehyde dehydrogenase (based on Wuensch et al., 2013). The proposed scheme would require only one enzymatic activity for both the oxidative and reductive half-reactions.
Fig. 7 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 7. Proposed scheme for reactions taking place during the maca drying. The sequence is based on the main hydrolytic metabolites observed during the drying process. Step A describes reactions generating the initial hydrolysis products and including BITC (2), BCN (4) and BIOC (7). Step B is the formation of BNH2 (3), the main accumulation product, from BITC (2). Step C describes deamination of BNH2 (3) to generate various deaminated benzenoids. Step D corresponds to the disproportionation reactions leading to pools of BCHO (5), BOH (6) and BCOOH (8) through the action of an aldehyde dehydrogenase. Step E is the condensation of BNH2 (3) with free fatty acids to produce macamides (MAC 9–13) and step F corresponds to esterification or glycosylation of BCOOH (8) as a detoxification mechanism. Numbers correspond to those in Fig. 1. Dark lines show favored reactions according to our results. Compounds in light gray are minor transient products.
Fig. 4. Pearson correlation values for glucosinolate hydrolytic products. Panel A in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 4. Pearson correlation values for glucosinolate hydrolytic products. Panel A shows the correlation of metabolites for the early stage of drying, where reactions are caused by direct damage to the tissue by shredding. Panel B shows the correlation between intermediaries as a result of the late stage tissue dehydration. BCOOR- 2, BCHO-2 and BCOOH-2 shown in panel B correspond to data points in Fig. 5 shown as part of the red solid line while BCOOR (8a), BCHO (5) and BCOOH (8) in panel A correspond to the early stage in the figure shown in solid black lines. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 6. Time course for the concentration of ammonium ion in maca tissues during drying. Deamination of benzyl amine and amino acids by amine oxidases are potential sources of ammonia under our short (72 h) drying conditions. Peak values of NH+ are 25 μmol g 1 dry wt.. Total amount of deaminated benzenoids 4 accounts for only 0.75 μmol g 1 dry wt. indicating other major sources of ammonium in the process. Curve adjusted by nonlinear regression (R2 = 0.9472).
Fig. 3 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 3. Tissue concentrations during oven drying for benzyl glucosinolate (BGL) and its metabolites. Drying maca tissue was extracted in solvent and the levels of benzyl glucosinolate, its primary hydrolytic products (BITC, BCN) and two products that accumulate in the flour, benzyl amine (BNH2) and macamides (MAC) were analyzed. RW represents residual humidity. Hydrolytic and final accumulation product patterns match those previously reported (Esparza et al., 2015), although for this study, a 72 h drying period and 35 ◦ C constant temperature were employed. Values are expressed in molar fraction of initial glucosinolate concentration, where 1 = 36 ± 5 μmol g 1 dry wt. (N = 6). Nonlinear regression coefficients for the compounds were: R2 = 0.941 (BGL, 1), R2 = 0.971 (BITC, 2), R2 = 0.777 (BCN, 4), R2 = 0.955 (BNH, 3), R2 = 0.985 (MAC, 9–13) and R2 = 0.993 (RW).
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.