AIMC Topic: Mice
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Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.
Journal of neurophysiology
Dec 7, 2016
The activity of sensory cortical neurons is not only driven by external stimuli but also shaped by other sources of input to the cortex. Unlike external stimuli, these other sources of input are challenging to experimentally control, or even observe,...
Toxoplasma gondii transmission by artificial insemination in sheep with experimentally contaminated frozen semen.
Theriogenology
Dec 5, 2016
Toxoplasma gondii is a parasite considered one of the major causes of reproductive problems in sheep. Furthermore, the presence of the agent in ram semen urges the possibility of sexual transmission in this species. The aim of this study was to evalu...
Tenascin-C Prevents Articular Cartilage Degeneration in Murine Osteoarthritis Models.
Cartilage
Dec 4, 2016
Objective The objective of this study was to determine whether intra-articular injections of tenascin-C (TNC) could prevent cartilage damage in murine models of osteoarthritis (OA). Design Fluorescently labeled TNC was injected into knee joints and i...
Multiparameter mechanical and morphometric screening of cells.
Scientific reports
Dec 2, 2016
We introduce a label-free method to rapidly phenotype and classify cells purely based on physical properties. We extract 15 biophysical parameters from cells as they deform in a microfluidic stretching flow field via high-speed microscopy and apply m...
Characterization and hepatoprotective activity of anthocyanins from purple sweet potato (Ipomoea batatas L. cultivar Eshu No. 8).
Journal of food and drug analysis
Dec 1, 2016
The hepatoprotective activity of anthocyanin-rich purple sweet potato extract (APSPE) was demonstrated. Sixty mice were randomly divided into six groups: control group [without carbon tetrachloride (CCl) or APSPE]; model group (with CCl only); positi...
BIOLOGICAL AND PHYTOCHEMICAL INVESTIGATIONS OF EXTRACTS FROM POIR (FABACEAE) ROOT BARKS.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Poir. belonging to Fabacae familly is used as medicinal plant in Burkina Faso's folk medicine. Roots of are used to treat ulcer, stomach ache and inflammatory diseases. The objective of the present study was to carry out phytochemical c...
Prediction of Protein-Protein Interactions by Evidence Combining Methods.
International journal of molecular sciences
Nov 22, 2016
Most cellular functions involve proteins' features based on their physical interactions with other partner proteins. Sketching a map of protein-protein interactions (PPIs) is therefore an important inception step towards understanding the basics of c...
Escherichia coli
Proteins
Models, Molecular
Data Mining
Animals
Mice
Computational Biology
Support Vector Machine
Molecular Sequence Annotation
Gene Ontology
Protein Interaction Mapping
Protein Interaction Domains and Motifs
Arabidopsis
High-Throughput Nucleotide Sequencing
Datasets as Topic
Saccharomyces cerevisiae
Drosophila melanogaster
Humans
Computer Simulation
Comprehensive analysis of epigenetically regulated genes in anergic T cells.
Cellular immunology
Nov 2, 2016
T cell anergy is one of the important mechanisms for immune tolerance. The results of many studies investigating the mechanism for T cell anergy induction have revealed that the expression of several genes was up-regulated in anergic T cells. It has ...
The protective effects of bone morphogenetic protein-7 against epithelial injury and matrix metalloproteases upregulation induced by silica in vitro.
Human & experimental toxicology
Oct 20, 2016
OBJECTIVE: We investigate the effects of bone morphogenetic protein-7 (BMP-7) on models with silica-induced and macrophage-mediated fibrosis and its possible mechanisms in vitro.
Improved pan-specific prediction of MHC class I peptide binding using a novel receptor clustering data partitioning strategy.
HLA
Oct 20, 2016
Pan-specific prediction of receptor-ligand interaction is conventionally done using machine-learning methods that integrates information about both receptor and ligand primary sequences. To achieve optimal performance using machine learning, dealing ...
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