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730 results for “biochemicals”
Figure 1 in Effects of nitrogen fertilizer on Capoeta capoeta: an immunohistopathological and biochemical investigation
Figure 1. Histopathology of liver tissue in group 1 (a), group 2 (b), and group 3 (c). Hydropic degeneration in hepatocytes (black arrows) in nitrogen fertilizer exposed fish. In gill tissue, normal histomorphology in group 1 (d) while blunting and association in some secondary lamellae (black arrows) and some vacuolated epithelia (white arrows) in group 2 (e) and group 3 (f). Normal intestinal morphology in group 1 (g) while occasional blunting in intestinal villi (black arrows) in group 2 (h) and group 3 (i). Group 1: control, group 2: fish exposed to 15 mg/L nitrogen fertilizer for 15 days, and group 3: fish exposed to 30 mg/L nitrogen fertilizer for 15 days. Hematoxylin-eosin.
Figure 1 in Biochemical response of two fish species of Gobiidae (Gobiiformes) to Cryptocotyle (Opisthorchiida, Heterophyidae) metacercariae infection from the mouth of the river Chernaya (Black Sea)
Figure 1. Cryptocotyle metacercariae: A – C. concavum; B – С. lingua; C – C. jejuna (scale 0.024 mm) (From: Machkevskiy & Belousova, 2012)
FIGURE 5 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 5 | Antioxidant and oxidative stress parameters in the liver after transferring to recovery aquariums of fat snook (Centropomus parallelus) anesthetized with the essential oil from Lippia alba (EOLA). A = GST (glutathione S-transferase). B = SOD (superoxide dismutase). C = CAT (catalase). D = LPO (lipid peroxidation). Data are presented as the mean ± SEM (n = 5 fish per treatment each time). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 1 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 1 | Time (s) required for mild and deep anesthesia and recovery in fat snook angelfish (Centropomus parallelus) with increasingly essential oil from Lippia alba (EOLA) concentrations. Data are presented as the mean ± SEM (n = 10 fish per treatment). Different letters indicate significant differences between treatments. One-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05). Mild and deep anesthesia times showed regression.
FIGURE 4 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 4 | Blood glucose (A) and whole-body cortisol (B) levels after transferring to recovery aquariums of anesthetized fat snook (Centropomus parallelus) with essential oil from Lippia alba (EOLA). Data are presented as the mean ± SEM (n = 5 fish per treatment each time). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 2 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 2 | Time (s) required for mild and deep anesthesia and recovery in fat snook (Centropomus parallelus) exposed to essential oil from Lippia alba (180 µL L−1). Smaller fish = 6.03 ± 0.09 g; 9.30 ± 0.05 cm. Larger fish = 38.49 ± 2.07 g; 16.55 ± 0.26 cm. Data are presented as the mean ± SEM (n = 10 fish per treatment). Different letters indicate significant differences between fish body size classes. One-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 3 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 3 | Ventilatory rate (VR) of fat snook (Centropomus parallelus) during exposure to the essential oil from Lippia alba (EOLA). Data are presented as the mean ± SEM (n = 8 fish per treatment). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 1 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 1 | Histological gill alterations in Pimelodus maculatus collected during transient operating conditions (magnification: × 400). Arrows indicate the following lesions: A. Aneurysm; B. Epithelium detachment; C. Telangiectasia; and D. Interlamellar hyperplasia.
FIGURE 2 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 2 | Histological alterations in liver and spleen of Pimelodus maculatus collected during transient operating conditions in the tailrace of Machadinho HPP (magnification: × 400). Arrows and asterisks indicate the following lesions: A. Melanomacrophage centers (asterisk) and congested vein (arrow) in the liver; B. Blood cells indicating hepatic hemorrhage (asterisk); C. Melanomacrophage centers in the spleen (asterisk); D. Mononuclear inflammatory infiltrate in the spleen (arrow).
Figure 3 in Assessment of carbamazepine acute toxicity in the cockle Cerastoderma edule through chemical, physiological and biochemical tools
Figure 3. Effect of carbamazepine on proxydants and cellular damage, H 2 O 2 level 48 h (A), 96 h (B), nitrite level NO 48 h (C), 96 h (D) and malondialdehyde level MDA 48 h (E), 96 h (F). Values are the mean (± SD) of 5 replicates. Significant differences (p ≤ 0.05) among exposure concentrations, for each condition, are presented with different letters (a-b).
Figure 2 in Assessment of carbamazepine acute toxicity in the cockle Cerastoderma edule through chemical, physiological and biochemical tools
Figure 2. Effect of carbamazepine on enzymatic biomarkers, and AChE activity 48 h (A), 96 h (B), Antioxidant enzyme activities, SOD activity 48 h (C), 96h (D), CAT activity 48 h (E), 96 h (F) and GST activity 48 h (G), 96 h (H). Values are the mean (± SD) of 5 replicates. Significant differences (p≤0.05) among exposure concentrations, for each condition, are presented with different letters (a-b).
Figure 1 in Assessment of carbamazepine acute toxicity in the cockle Cerastoderma edule through chemical, physiological and biochemical tools
Figure 1. Clearance rate in Cerastoderma edule exposed to three concentrations of CBZ (5, 10, 20 Μg.L-1) during 2 h. Values are the mean of 3 replicates. Letters (a-b) indicate significant differences (p ≤0.05) between control and exposure conditions.
FIG. 4 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 4. — Molecular phylogenetic tree based on a comparison of 28S rRNA sequences from 22 species. The topology is a consensus bootstrap neighbour-joining tree obtained after 500 bootstrap replicates with Haplosclerida as outgroup. Bootstrap proportions are shown above internal branches. Distances were calculated using Kimura method. Abbreviations: Ageoro, Agelas oroides; Ancten, Anchinoe tenacior; Asbhyp, Asbestopluma hypogea; Axidam, Axinella damicornis; Choren, Chondrosia reniformis; Cinsch, Cinachyrella schulzei; Cormas, Corallistes masoni; Dispol, Discodermia polydiscus; Eryeua, Erylus euastrum; Halpan, Halichondria panicea; Pacpat, Pachastrissa pathologica; Pacjoh, Pachymatisma johnstoni; Penhel, Penares helleri; Petfic, Petrosia ficiformis; Poecom, Poecillastra compressa; Renful, Reniera fulva; Renmuc, Reniera mucosa; Spogen, Spongosorites genitrix; Strmuc, Stryphnus mucronatus; Thycon, Thymosiopsis conglomerans; Thycut, Thymosiopsis cuticulatus; Thygue, Thymosia guernei.
FIG. 1. — Thymosiopsis conglomerans n in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 1. — Thymosiopsis conglomerans n. sp.; A, holotype in situ, 17 m depth; B, view of the surface of the holotype, with reticulation of low ridges and epizoic bryozoan (Scrupocellaria sp.); C, section through the paratype (surface of the sponge on the left); D, thin polished section in the paratype, with the ectosome on the left, canals, and numerous debris of foreign origin. Scale bars: B, 1 mm; C, 14.3 mm; D, 1.4 mm.
FIG. 2. — Thymosiopsis conglomerans n in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 2. — Thymosiopsis conglomerans n. sp.; A, semi-thin section through the ectosome; B, semi-thin section through the choanosome; C, TEM view of a choanocyte chamber; D, enlargement of a part of semi-thin section B; E, choanocyte; F, spherulous cell. Abbreviations: a, foreign body (calcareous alga); ap, aphodus; b, bacteria; c, canal; cc, choanocyte chamber; g, granular cell; n, nucleus; s, spherulous cell; v, vacuolar cell; vc, vacuolar cells near the pinacocyte layer of the canal. Scale bars: A, D, 16 µm; B, 58 µm; C, 3.2 µm; E, F, 1 µm.
F. 5. — 1 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
F. 5. — 1, Thymosiosterol; 2, ∆24 thymosiosterol; 3, main sterol of T. conglomerans; 4, pulchrasterol.
FIG. 6 in Morphological, chemical and biochemical characterization of a new species of sponge without skeleton (Porifera, Demospongiae) from the Mediterranean Sea
FIG. 6. — Thymosia guernei Topsent, specimen from Portugal. Semi-thin section through the choanosome. Abbreviations: ca, canal; cc, choanocyte chamber; f, spongin fibre; sc, spherulous cell. Scale bar: 34 µm.
Sequence data for 'Machine-driven parameter-space exploration of biochemical reactions'
<p>The development of complex, multi-step <em>omics</em> methods in molecular biology is a laborious, costly, iterative and often intuition-bound process where an optimum is sought in a parameter space through step-by-step optimisations. The the difficulty of miniaturising assays and the cost of the experiments limit the dynamic range and the number of parameters that can be explored. However, because of non-linearities of the response of biochemical systems to their reagent concentrations, a broad dynamic range is necessary. Here we demonstrate the use of a high-performance nanoliter handling platform (Labcyte Echo 525) and computer generation of liquid transfer programs to explore in quadruplicates more than 600 combination of 4 parameters of a biochemical reaction, which lead us to uncover non-linear responses, parameter interactions and novel mechanical insights. With the increased availability of « <em>cloud biology</em>» computer-driven laboratory platforms, our results participate in changing methods development for biotechnology towards reproducible, computer-aided exhaustive characterisation of biochemical systems.</p> <p>This dataset contains the raw sequencing data produced with an Illumina MiSeq instrument for this project. FASTQ files and sample sheets are found in the usual location (Data/Intensities/BaseCalls). The "Thumbnail_Images" and "L001" directories were deleted to save space.</p> <p>Run IDs: 171227_M00528_0321_000000000-B4GLP, 180403_M00528_0348_000000000-B4GP8, 180517_M00528_0364_000000000-BRGK6, 180123_M00528_0325_000000000-B4PCK, 180411_M00528_0351_000000000-BN3BL, 180606_M00528_0367_000000000-BN3FG, 180326_M00528_0346_000000000-B4GJR, 180501_M00528_0359_000000000-B4PJY, 180607_M00528_0368_000000000-BN9KM</p> <p> </p>
Data_ Integrating torrefaction of pulp industry sludge with anaerobic digestion to produce bioenergy and biochemicals: Techno-economic and environmental feasibility analysis
<p>In order to improve the economic competitiveness of bioenergy carriers and biochemicals, they must be produced<br> from low-cost or no-cost feedstock and at a reduced operational expenses. In that regard, this study<br> focused on understanding the techno-economic feasibility of using pulp sludge as a low-cost alternative feedstock<br> to forestry biomass in torrefaction. Economic feasibility of further integrating pulp sludge torrefaction with<br> anaerobic digestion to produce energy, biomethane and volatile fatty acids (VFA) was also studied. The operational<br> expenses were around 8.2 and 2.04 M€ and the minimum selling price of torrefied pellets was 407 and<br> 189 €/t for forestry biomass torrefaction and pulp sludge torrefaction respectively. In case of integrated approaches,<br> VFA production showed higher economic feasibility with a torrefied pellets selling price of 163 €/t<br> compared with biomethane production (213 €/t). The biomethane and VFA selling price can be reduced by 90<br> and 64% compared with current market price at torrefied pellets selling price of 260 €/t. Sensitivity analysis<br> revealed that, moisture content of the sludge is the main influencing parameter on the overall economic feasibility<br> of the pulp sludge torrefaction. The environmental analysis showed that pulp sludge torrefaction has higher<br> emissions compared with forestry biomass torrefaction.</p>
Biochemical networks with simulation-based estimations of dynamical properties
<p>This datasets collection was first introduced in the article: </p> <p><a href="https://academic.oup.com/bioinformatics/article/39/11/btad678/7407341" target="_blank" rel="noopener">Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs</a>. (Bioinformatics 2023)</p> <p> </p> <p>The collection contains three datasets that contain information about three dynamical properties computed on a set of 483 biochemical pathways downloaded from the BioModels database. The three dynamical properties are:</p> <ul> <li>robustness</li> <li>sensitivity</li> <li>monotonicity</li> </ul> <p>The files are organized as follows:</p> <ol> <li>The `pathways` directory contains 483 files in .dot format for each biochemical pathway downloaded from the BioModels database (May 2021), represented in Petri net format (see <a href="https://doi.org/10.5220/0008964700320043">this article</a> for the exact definition). The file name is the ID of the pathway in the BioModels database.</li> <li>The other folders contain one .csv file for each property. A single .csv file contains 4 columns: <ol> <li>`PathwayID`: the ID of the Pathway in the BioModels database</li> <li>`Input`: the input molecular species on which the property has been assessed</li> <li>`Output`: the output molecular species on which the property has been assessed</li> <li>`Property`: the value of the property assessed with numerical simulations on the pathway for that particular input/output species pair.</li> </ol> </li> <li>The `loader.py` file is an optional script that allows to use the data in python. The script requires that the libraries `networkx`, `pandas`, and `pydot` are installed in the target machine.</li> </ol>
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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)
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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.