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gene based » gender based (Expand Search), agent based (Expand Search), mxene based (Expand Search)
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. …”
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Patients with early onset of type 1 diabetes have significantly higher GG genotype at position 49 of the CTLA4 gene
Published 2004“…The GG genotype was also significantly higher among patients (12.6%) than in controls (4.2%). χ2 analysis and family-based association studies were performed and suggested the association of CTLA4 exon 1 G polymorphism with T1D (p = 0.0229). …”
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Efficient experimental design for uncertainty reduction in gene regulatory networks
Published 2015“…Gene regulatory networks often contain a significant amount of uncertainty. …”
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Wastewater-based epidemiology for tracking bacterial diversity and antibiotic resistance in COVID-19 isolation hospitals in Qatar
Published 2023“…BackgroundHospitals are hotspots for antimicrobial resistance genes (ARGs), and play a significant role in their emergence and spread. …”
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Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients
Published 2022“…<div><p>The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS) plus (2) colorectal cancer intrinsic subtypes (CRIS). …”
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The combinatory effects of diet and exercise on BDNF gene expression
Published 2017“…The present results enrich our understanding of how exercise and different diets coordinate to induce BDNF gene expression and may be used in identifying novel therapeutic targets for depression…”
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Variational Auto Encoder Approach To Find Deferentially Expressed Genes
Published 2022“…The proposed method makes use of cluster distribution on every latent space and merged weights in the decoder to assign genes to a cluster. My results discovered new sets of genes that were not shown using state-of-the-art techniques and can properly rank the top genes based on their significance in making clustering.…”
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants
Published 2022“…We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores.…”