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    1. Plant Biology

    Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa

    Kathleen Greenham et al.
    Coupled physiology and gene expression, measured over a two-day time course, reveals specific time-of-day responses to the early stages of drought in Brassica rapa.
    1. Computational and Systems Biology
    2. Developmental Biology

    The transcriptomic and epigenetic map of vascular quiescence in the continuous lung endothelium

    Katharina Schlereth et al.
    The acquisition of vascular quiescence during transition to adulthood is driven by distinct transcriptional and epigenetic programs of pro- and anti-angiogenic genes, with the most prominent effect on the suppression of TGFß family signaling.
    1. Biochemistry and Chemical Biology
    2. Cell Biology

    Transcriptomic and proteomic landscape of mitochondrial dysfunction reveals secondary coenzyme Q deficiency in mammals

    Inge Kühl et al.
    Comparative -omic analyses of five knockout mouse strains with disrupted mitochondrial DNA expression at different levels provide a high quality resource of altered gene expression patterns that reveal several common secondary patophysiological changes of mitochondrial dysfunction.
    1. Developmental Biology
    2. Neuroscience

    Insights into electrosensory organ development, physiology and evolution from a lateral line-enriched transcriptome

    Melinda S Modrell et al.
    An unbiased transcriptomic approach reveals that developing paddlefish electrosensory organs express genes essential for mechanosensory hair cell development and synaptic transmission, and identifies candidates for mediating electroreceptor development and function.
    1. Computational and Systems Biology
    2. Neuroscience

    Blood transcriptome based biomarkers for human circadian phase

    Emma E Laing et al.
    An unbiased modelling approach shows that only a few blood transcriptome samples are required to accurately assess the human circadian melatonin phase, even during altered sleep schedules.
    1. Microbiology and Infectious Disease

    A comparative transcriptomic analysis of replicating and dormant liver stages of the relapsing malaria parasite Plasmodium cynomolgi

    Annemarie Voorberg-van der Wel et al.
    This comprehensive transcriptomic resource of dormant and replicating malaria liver parasites highlights the dearth of pathways that operate in the hypnozoites and the need to investigate druggability (i.e. selectivity and safety) of core pathways in malaria parasites.
    1. Microbiology and Infectious Disease

    Transcriptomic analysis reveals reduced transcriptional activity in the malaria parasite Plasmodium cynomolgi during progression into dormancy

    Nicole L Bertschi et al.
    Transcriptome profiling of malaria liver-stage parasites provides unprecedented knowledge on genes and pathways expressed in truly dormant hypnozoites and indicates that dormancy is associated with a switch in energy metabolism.
    1. Cell Biology
    2. Developmental Biology

    Single-cell transcriptome analysis of avian neural crest migration reveals signatures of invasion and molecular transitions

    Jason A Morrison et al.
    Single cell transcriptome analysis of an embryonic collective migratory cell population provides new insights into the heterogeneity of transcriptional signatures within a neural crest cell migratory stream.
    1. Human Biology and Medicine

    Transcriptomic analyses reveal rhythmic and CLOCK-driven pathways in human skeletal muscle

    Laurent Perrin et al.
    Rhythmic transcriptome analyses of human skeletal muscle tissue and cultured primary myotubes reveal an essential role for the circadian coordination of glucose homeostasis and lipid metabolism in human skeletal muscle.
    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Protein biogenesis machinery is a driver of replicative aging in yeast

    Georges E Janssens et al.
    A comprehensive mapping of the proteome and transcriptome during the complete replicative lifespan of budding yeast predicted an increased abundance of the protein biogenesis machinery is most causal for aging.