Showing 61 - 80 results of 272 for search '"gene expression"', query time: 0.05s Refine Results
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  5. 65

    Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat by François Brial, Aurélie Le Lay, Claude Rouch, Edouard Henrion, Mathieu Bourgey, Guillaume Bourque, Mark Lathrop, Christophe Magnan, Dominique Gauguier

    Published 2025-02-01
    “…Abstract Brain regions drive multiple physiological functions through specific gene expression patterns that adapt to environmental influences, drug treatments and disease conditions. …”
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    Article
  6. 66
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  8. 68

    Gene function revealed at the moment of stochastic gene silencing by Shreyan Gupta, James J. Cai

    Published 2025-01-01
    “…Abstract Gene expression is a dynamic and stochastic process characterized by transcriptional bursting followed by periods of silence. …”
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  9. 69

    Expression of atherosclerosis-associated genes in peripheral blood of drug-naïve hypertensive subjects with newly-diagnosed type 2 diabetes mellitus by Nikolay Stoynev, Ivanka Dimova, Blaga Rukova, Savina Hadjidekova, Dragomira Nikolova, Tsvetalina Tankova

    Published 2025-02-01
    “…Results: In gene expression analysis, 5 genes with increased expression in the studied group were found – CD44, ITGA5, ITGB2, PPARA and RXRA. …”
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    Article
  10. 70

    Activin levels correlate with lymphocytic infiltration in epithelial ovarian cancer by Elizabeth T. Evans, Emily F. Page, Alex Seok Choi, Zainab Shonibare, Andrea G. Kahn, Rebecca C. Arend, Karthikeyan Mythreye

    Published 2024-09-01
    “…Additionally, INHBA gene expression was linked to lymphocytic immune markers in EOC samples. …”
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    Article
  11. 71

    Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

    Published 2025-01-01
    “…This construction can be improved using the auxiliary information like gene expression profile of the related species or gene markers. …”
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    Article
  12. 72

    Genetic analysis of pathways regulated by the von Hippel-Lindau tumor suppressor in Caenorhabditis elegans. by Tammie Bishop, Kah Weng Lau, Andrew C R Epstein, Stuart K Kim, Min Jiang, Delia O'Rourke, Christopher W Pugh, Jonathan M Gleadle, Martin S Taylor, Jonathan Hodgkin, Peter J Ratcliffe

    Published 2004-10-01
    “…However, persisting differential gene expression in hif-1 versus hif-1; vhl-1 double mutant worms clearly distinguished HIF-1-independent effects of VHL-1 inactivation. …”
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  13. 73

    Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

    Published 2025-02-01
    “…Datasets for OSCC and COVID-19 were obtained from https://www.salivaryproteome.org/differential-expression and selected for differential gene expression analysis. Differential gene expression analysis was performed using log transformation and a fold change of two. …”
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  14. 74

    Maternal exposure to tris (2-butoxyethyl) phosphate induces F0 female reproductive toxicity and offspring developmental toxicity in zebrafish by Anqi Dong, Wenqian Lei, Weiqi Zhou, Wenwen Li, Jianghua Wang

    Published 2025-01-01
    “…The observed impacts on the F0 generation were linked to a marked decrease in 17β-estradiol concentrations and disruptions in the gene expression patterns along the hypothalamic-pituitary-gonadal-liver (HPGL) axis. …”
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    Article
  15. 75

    LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

    Published 2024-08-01
    “…Combining gene expression data with other types of omics data has been reported by numerous works to improve cancer classification outcomes. …”
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    Article
  16. 76

    Biochemistry / by Pelley, John W.

    Published 2011
    Table of Contents: “…Carbohydrates, lipids, and amino acids : metabolic fuels and biosynthetic precursors -- Proteins and enzymes -- Membrane biochemistry and signal transduction -- Nutrition -- Generation of energy from dietary fuels -- Carbohydrate metabolism -- Lipid metabolism -- Nitrogen metabolism -- Integration of metabolism -- Nucleotide synthesis and metabolism -- Organization, synthesis, and repair of DNA -- Gene expression -- DNA technology -- Common laboratory values.…”
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  17. 77

    Development of the early fetal human thalamus: from a protomap to emergent thalamic nuclei by Maznah Alhesain, Ayman Alzu’bi, Ayman Alzu’bi, Ayman Alzu’bi, Niveditha Sankar, Niveditha Sankar, Charles Smith, Charles Smith, Janet Kerwin, Ross Laws, Susan Lindsay, Gavin J. Clowry

    Published 2025-02-01
    “…It was highly expressed by glutamatergic neurons in many thalamic regions by 14 PCW, sometimes but not always in conjunction with its upstream expression regulator FOXP2.ConclusionIn human discrete thalamic nuclei exhibiting discrete gene expression patterns emerge relatively early from a protomap of gene expression. …”
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  18. 78

    Single-nucleus transcriptomes reveal the underlying mechanisms of dynamic whitening in thermogenic adipose tissue in goats by Manman Li, Nange Ma, Shujie Luo, Yuyi Lu, Xixi Yan, Yang Li, Xinmei Li, Zhuohui Li, Zhipei Wu, Zhenyu Wei, Wei Wang, Huimei Fan, Yu Jiang, Yan Xiong, Yu Wang

    Published 2025-02-01
    “…Results Our histological studies and bulk transcriptome gene expression analysis confirmed that both perirenal and omental adipose tissues (pAT and oAT) exhibited progressive whitening in goats. …”
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  19. 79

    Comprehensive Bioinformatics Method to Explore Immune-Related Genes in the Pathogenesis of Myocardial Infarction by Xin Zhang, Yiren Yao, Ying Ding, Wenting Yan, Yang Gu, Xiwen Zhang, Xiaojin Xu

    Published 2025-01-01
    “…We performed differential gene expression analysis, GO/KEGG enrichment analysis, protein-protein interaction (PPI) network analysis, weighted gene co-expression network analysis (WGCNA), gene set enrichment analysis, and immune infiltration studies to identify core immune-related genes associated with MI. …”
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  20. 80

    Identification and validation of hub gene TNFAIP6 of fibroblast-like synoviocytes in rheumatoid arthritis by LEI Lei, LYU Yuxin, ZHANG Jing

    Published 2025-02-01
    “…Results‍ ‍With the aid of differential gene expression analysis, WGCNA, and single-cell sequencing data, we identified TNFAIP6 as the characteristic gene of RA fibroblast-like synoviocytes. …”
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    Article