Browse our latest Chromosomes and Gene Expression articles

Page 38 of 116
    1. Chromosomes and Gene Expression
    2. Medicine

    Cardiovascular disease risk factors induce mesenchymal features and senescence in mouse cardiac endothelial cells

    Karthik Amudhala Hemanthakumar, Shentong Fang ... Riikka Kivelä
    Endothelial dysfunction due to cardiovascular disease risk factors explained by cardiac endothelial cell transcriptome remodelling.
    1. Chromosomes and Gene Expression
    2. Medicine

    Cardiovascular Disease: Exploring risk factors at the molecular level

    Martina Rudnicki, Tara L Haas
    Risk factors for cardiovascular diseases trigger molecular changes that harm the endothelial cells in the heart, but exercise can suppress these effects.
    Version of Record
    Insight
    1. Chromosomes and Gene Expression
    2. Genetics and Genomics

    Stress resets ancestral heritable small RNA responses

    Leah Houri-Zeevi, Guy Teichman ... Oded Rechavi
    Various types of stress reset heritable small RNA responses through the function of the p38 MAPK pathway, the transcription factor SKN-1/Nrf2, and the MET-2/SETDB1 putative histone methyltransferase.
    1. Chromosomes and Gene Expression
    2. Computational and Systems Biology

    Increased longevity due to sexual activity in mole-rats is associated with transcriptional changes in the HPA stress axis

    Arne Sahm, Matthias Platzer ... Philip Dammann
    The fact that sexual activity/reproduction doubles the lifespan of certain rodent species is most likely linked to critical changes in the regulation of the hypothalamic–pituitary–adrenal stress axis.
    1. Chromosomes and Gene Expression

    Promoter-specific changes in initiation, elongation, and homeostasis of histone H3 acetylation during CBP/p300 inhibition

    Emily Hsu, Nathan R Zemke, Arnold J Berk
    CBP/p300 acetylation of histone H3 at promoters and enhancers stimulates transcriptional elongation through recruitment of the super-elongation complex and BRD4.
    1. Chromosomes and Gene Expression
    2. Computational and Systems Biology

    Effective dynamics of nucleosome configurations at the yeast PHO5 promoter

    Michael Roland Wolff, Andrea Schmid ... Ulrich Gerland
    The integration of multi-nucleosome configuration data with histone turnover and new chromatin accessibility data by systematically investigated 'regulated on-off-slide' models reveals promoter state transitions regulated by just one assembly process.
    1. Chromosomes and Gene Expression
    2. Neuroscience

    A KDM5–Prospero transcriptional axis functions during early neurodevelopment to regulate mushroom body formation

    Hayden AM Hatch, Helen M Belalcazar ... Julie Secombe
    The histone demethylase KDM5 functions in concert with the transcription factor Prospero to regulate a gene expression program that is required for mushroom body neuroanatomical development.
    1. Chromosomes and Gene Expression

    Human ORC/MCM density is low in active genes and correlates with replication time but does not delimit initiation zones

    Nina Kirstein, Alexander Buschle ... Aloys Schepers
    Replication origins are established throughout the genome with the exception of transcribed genes, and the local chromatin composition likely modulates the density of ORC and MCM as well as origin activation.
    1. Chromosomes and Gene Expression
    2. Structural Biology and Molecular Biophysics

    Archaeal chromatin ‘slinkies’ are inherently dynamic complexes with deflected DNA wrapping pathways

    Samuel Bowerman, Jeff Wereszczynski, Karolin Luger
    Archaeal histones compact DNA into nucleosome-like particles of varying sizes that contort sporadically and reorient DNA wrapping.
    1. Chromosomes and Gene Expression
    2. Computational and Systems Biology

    Local genetic context shapes the function of a gene regulatory network

    Anna Nagy-Staron, Kathrin Tomasek ... Calin C Guet
    The phenotype of a gene regulatory network depends both qualitatively and quantitatively on the local genetic context of its individual components and cannot necessarily be predicted solely from network's topology.