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11,852 results for “liver”
F I G U R E 1 in Effects of dietary hydrolysate supplementation on growth, body composition, hematological responses, and liver histology of juvenile giant trevally (Caranx ignobilis Forsskal, 1775)
F I G U R E 1 The quadratic regression for the specific growth rate (SGR) of juvenile giant trevally and dietary fish protein hydrolysate (FPH) supplementation. SH, shrimp hydrolysate; TH, tuna hydrolysate.
F I G U R E 5 in Effects of dietary hydrolysate supplementation on growth, body composition, hematological responses, and liver histology of juvenile giant trevally (Caranx ignobilis Forsskal, 1775)
F I G U R E 5 Liver microscopy of giant trevally fed fish protein hydrolysate (FPH) for 8 weeks (scale bar = 50 μm, 400 magnification). Stained with hematoxylin and eosin.
SPT results - Simulation of zonation-function relationships in the liver using coupled multiscale models: Application to drug-induced liver injury
<p>Results of the study "Simulation of zonation-function relationships in the liver using coupled multiscale models: Application to drug-induced liver injury"</p>
F I G U R E 3 in Effects of dietary hydrolysate supplementation on growth, body composition, hematological responses, and liver histology of juvenile giant trevally (Caranx ignobilis Forsskal, 1775)
F I G U R E 3 Proximate composition in the whole body of juvenile giant trevally fed tested diets for 8 weeks. ns, non-significant. Different subscript letters indicate differences among treatments.
F I G U R E 4 in Effects of dietary hydrolysate supplementation on growth, body composition, hematological responses, and liver histology of juvenile giant trevally (Caranx ignobilis Forsskal, 1775)
F I G U R E 4 Hematological and serum biochemical parameters of giant trevally fed experimental diets for 8 weeks. ns, non-significant. Different subscript letters indicate differences among treatments.
Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice
<p>Data repository for the paper: Galaris A., Fanidis D. et al. <em>Obesity reshapes the microbial population structure along the gut-liver-lung axis in mice</em>.<em> </em>2021</p> <p>For further data requests and questions please contact the corresponding author of the respective publication.</p> <p>All fastq files have been processed to remove human and mouse sequences.</p>
The spatio-temporal program of liver zonal regeneration
<p>We performed mouse bulk liver mRNA sequencing (mcSCRBseq, Bagnoli et al., 2018), single-cell RNA seq (Feature Barcode 10x) and spatial transcriptomics (10x Visium) of hepatocytes and non-parenchymal cells (NPCs) at several time points along the time course of Acetaminophen (APAP)-induced liver damage and regeneration to identify spatio-temporal dynamics of liver regeneration. </p> <p> </p>
Fig. 2 in Macrophages And Pigment Cells In The Liver Of Pelophylax Ridibundus (Anura)
Fig. 2. Mitosis in the precursor cell of the macrophage line (A) and macrophages of varying degrees of maturity (B, C, D, E, F) on the smears of the frog lake liver. Coloring according to Pappenheim, x900.
Fig. 3 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 3. Adipose dystrophy and hypopigmentation of Fig. 4. Well-seen adipose dystrophy combined with common toad's liver. Vacuol and pigment remain- protein dystrophy and a foci of necrosis in the middle ings are seen in melano-macrophagal aggregations. of the picture. Destroyed cells and pigment remain- Hematoxyline-eosine staining, ×200. ings are seen in melano-macrophagal aggregations. Hematoxyline-eosine staining, ×200.
Fig. 1 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 1. Protein dystrophy in common toad. Protein Fig. 2. Foci of necrosis in common toad liver tissue. granules are visible inside hepatocytes. Hematoxy- Destructed cells are seen. Hematoxyline-eosine stainline-eosine staining, ×200. ing, ×200.
Fig. 7 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 7. Histological changes in liver tissue of common toads from breeding population in NNP "Holosiivskyi", %.
Fig. 5 in Histological Changes In Common Toad, Bufo Bufo (Anura, Bufonidae), Liver Tissue Under Conditions Of Anthropogenically Transformed Ecosystems
Fig. 5. Manifestation of protein dystrophy and hyper- Fig. 6. Abnormally big melano-macrophagal aggrepigmentation in common toad liver tissue. Hematox- gation surrounded by lymphoid infiltrate (inflammayline-eosine staining, ×200. tion) and hyperpigmentation in common toad's liver
Fig. 1 in Pecular Features Of Hematopoiesis In The Liver Of Mature And Immature Green Frogs (Pelophylax Esculentus Complex)
Fig. 1. Smear-imprint of the liver of immature green frog: a — pigment cells; b — erythroblasts; c — undifferentiated blast, erythroblast and eosinophilicmyelocyte; d — erythroblast and medullocell neutrophil. Pappenheim staining, ×200.
Figure S1. Mediation analysis on the effect of insulin resistance on intraocular pressure. Figure S2. Forest plot showing the OR (95% CI) for EIOP of ALD versus NAFLD and the OR (95% CI) for EIOP of drinkers versus non-drinkers. Abbreviations: OR, odds ratio; CI, confidence interval; ALD, alcoholic liver disease; NAFLD, non-alcoholic fatty liver disease.
<p>Figure S1. Mediation analysis on the effect of insulin resistance on intraocular pressure.</p> <p>Figure S2. Forest plot showing the OR (95% CI) for EIOP of ALD versus NAFLD and the OR (95% CI) for EIOP of drinkers versus non-drinkers. Abbreviations: OR, odds ratio; CI, confidence interval; ALD, alcoholic liver disease; NAFLD, non-alcoholic fatty liver disease.</p>
Meta-analysis of diurnal transcriptomics reveals strong patterns of concordance and discordance in mouse liver: processed data
<p>The accumulation of public transcriptomic timeseries data enables robust meta-analyses that were not possible until recently. To assess the consistency of biological rhythms across studies, 43 public mouse liver tissue timeseries totaling 805 RNA-seq samples were obtained and analyzed. Only the control groups of each study were included, to create comparable data. Technical factors in RNA-seq library preparation were the largest contributors to transcriptome-level differences, beyond biological or experiment-specific factors such as lighting conditions. Core clock genes were remarkably consistent in phase across all studies, while phase distributions of other periodic genes were generally less consistent. Overlap of genes identified as rhythmic across studies was generally low, with around 50% between some of the highest sample count studies. Distributions of phases of significant genes were remarkably inconsistent across studies, but genes consistently identified as rhythmic clustered near ZT0 and ZT12 in acrophase. Data was integrated across studies in a JIVE analysis, which showed that the top two components of joint within-study variation are determined by time of day. A shape-invariant model with random effects was fit to the genes to identify the underlying shape of the rhythms, consistent across all studies. This revealed the extent of asymmetric and multimodal genes.<br> <br> This supplemental file provides preprocessed RNA-seq quantifications of all reviewed datasets, as well as results of multiple analyses.</p>
Fig. 2 in A first report of PSeUDOSUCCInea COlUMella (Say, 1817), an alien intermediate host for liver fluke, in Malawi
Fig. 2 Conchological and anatomical comparison of Pseudosuccinea columella (top row) and Radix natalensis (bottom row). a–d P.columella conchology (a, b), shell microsculpture of the black square hatched area (c) and radular teeth (d) e–h R. natalensis conchology (e, f), shell microsculpture of the black square hatched area (g) and radular teeth (h). Although there is minor variation in the shape of the inner cusp of the first lateral teeth, the discriminatory feature is the periostracum's spiral ridges
Fig. 1 in A first report of PSeUDOSUCCInea COlUMella (Say, 1817), an alien intermediate host for liver fluke, in Malawi
Fig. 1 Sketch maps of the distribution of Pseudosuccinea columella in Mangochi (a), Chikwawa (b) and Nsanje (c) Districts, southern Malawi. Red circles indicate HUGS survey sites where P. columella was found; grey circles are surveyed sites where this snail was not found. The locations are: Mangochi 1 (− 14.31373°, 35.14174°); Chikwawa 1 (− 16.03759°, 34.84091°); Nsanje 4 (− 16.88780°, 35.27475°); Nsanje 5 (− 16.92985°, 35.26552°) with corresponding location photograph. Note that the panorama image of Mangochi 1 clearly shows the stream, flowing left to right, directly connected to Lake Malawi. HUGS, Hybridisation in UroGenital Schistosomiasis (project)
Metadata of the study HMGCR activity is essential for mitochondrial β-oxidation of fatty acids to prevent lethal accumulation of long-chain acylcarnitines in the mouse liver
<p>Metadata of the study "HMGCR activity is essential for mitochondrial β-oxidation of fatty acids to prevent lethal accumulation of long-chain acylcarnitines in the mouse liver" published in Br J Pharmacol 2024. Apr 19. doi: 10.1111/bph.16363.</p>
Results of elemental analyses of brain and liver human tissue samples performed by inductively coupled plasma mass spectrometry
<p>Human tissue samples of brain and liver were obtained after min. 24 h postmortem from the Department of Forensic Medicine, University of Lublin. Tissue samples were collected from typical anatomical locations intended for histopathological examination: A—polus frontalis (frontal pole), B—gyrus precentralis (precentral gyrus), C—gyrus postcentralis (postcentral gyrus), D—cortex cingularis (gyrus cinguli cingulate gyrus), E—hippocampus (hippocampus), F—caput nuclei caudati (head of caudate nucleus), G—fasciculus longitudinalis superior cerebri (superior longitudinal fasciculus of brain, SLF), H—fasciculus longitudinalis inferior cerebri (inferior longitudinal fasciculus of brain, ILF), I—thalamus dorsalis (dorsal thalamus), J—nucleus accumbens septi (nucleus accumbens septi, NAc), K—insula (insula), L—hepar (liver). Samples were taken with the consent of the prosecutor and the Local Bioethics Committee (Medical University of Lublin, Poland, KE-0254/152/2021, approval date 24 June 2021). The study was conducted in accordance with the World Medical Association Code of Ethics, Declaration of Helsinki, for experiments involving human subjects. The samples were mineralized to remove the organic matrix using microwave minerali-zation with nitric acid (69% suprapur HNO3, Baker, Radnor, PA, USA) in the microwave mineralization system Multiwave 5000 (Anton Paar, Graz, Austria). After mineralization step, HCl (Merck, Darmstadt, Germany) was added and diluted by ultrapure water. The elemental analysis was performed using the inductively coupled plasma mass spectrometer Agilent 8900 ICP-MS Triple Quad (Agilent, Santa Clara, CA, USA). </p>
Improved Detection of Drug-Induced Liver Injury by Integrating Predicted in vivo and in vitro Data
<p><span>This repository provides datasets for the study: https://broad.io/DILIPredictor</span></p> <p><span>Full Paper: https://www.biorxiv.org/content/10.1101/2024.01.10.575128v1</span></p> <p><span>This work is on enhancing the early detection of Drug-Induced Liver Injury (DILI) through the integration of predicted in vivo and in vitro data. This project utilizes advanced machine learning models and chemical informatics to predict the likelihood of DILI for various compounds. </span></p> <p><span>For code see: <a href="https://github.com/srijitseal/DILI">https://github.com/srijitseal/DILI</a><br><br>Drug-induced liver injury (DILI) has been significant challenge in drug discovery, often leading to clinical trial failures and necessitating drug withdrawals. The existing suite of in vitro proxy-DILI assays is generally effective at identifying compounds with hepatotoxicity. However, there is considerable interest in enhancing in silico prediction of DILI because it allows for the evaluation of large sets of compounds more quickly and cost-effectively, particularly in the early stages of projects. In this study, we aim to study ML models for DILI prediction that first predicts nine proxy-DILI labels and then uses them as features in addition to chemical structural features to predict DILI. The features include <em>in vitro</em> (e.g., mitochondrial toxicity, bile salt export pump inhibition) data, <em>in vivo</em> (e.g., preclinical rat hepatotoxicity studies) data, pharmacokinetic parameters of maximum concentration, structural fingerprints, and physicochemical parameters. We trained DILI-prediction models on 888 compounds from the DILIst dataset and tested on a held-out external test set of 223 compounds from DILIst dataset. The best model, DILIPredictor, attained an AUC-ROC of 0.79. This model enabled the detection of top 25 toxic compounds compared to models using only structural features (2.68 LR+ score). Using feature interpretation from DILIPredictor, we were able to identify the chemical substructures causing DILI as well as differentiate cases DILI is caused by compounds in animals but not in humans. For example, DILIPredictor correctly recognized 2-butoxyethanol as non-toxic in humans despite its hepatotoxicity in mice models. Overall, the DILIPredictor model improves the detection of compounds causing DILI with an improved differentiation between animal and human sensitivity as well as the potential for mechanism evaluation. DILIPredictor is publicly available at </span><a href="https://broad.io/DILIPredictor">https://broad.io/DILIPredictor</a> <span>for use <em>via</em> web interface and with all code available for download and local implementation via </span><a href="https://pypi.org/project/dilipred/"><span>https://pypi.org/project/dilipred/</span></a><span>.</span></p>
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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.