12 research outputs found
Proteomic and Physiological Responses of Kineococcus radiotolerans to Copper
Copper is a highly reactive, toxic metal; consequently, transport of this metal within the cell is tightly regulated. Intriguingly, the actinobacterium Kineococcus radiotolerans has been shown to not only accumulate soluble copper to high levels within the cytoplasm, but the phenotype also correlated with enhanced cell growth during chronic exposure to ionizing radiation. This study offers a first glimpse into the physiological and proteomic responses of K. radiotolerans to copper at increasing concentration and distinct growth phases. Aerobic growth rates and biomass yields were similar over a range of Cu(II) concentrations (0–1.5 mM) in complex medium. Copper uptake coincided with active cell growth and intracellular accumulation was positively correlated with Cu(II) concentration in the growth medium (R2 = 0.7). Approximately 40% of protein coding ORFs on the K. radiotolerans genome were differentially expressed in response to the copper treatments imposed. Copper accumulation coincided with increased abundance of proteins involved in oxidative stress and defense, DNA stabilization and repair, and protein turnover. Interestingly, the specific activity of superoxide dismutase was repressed by low to moderate concentrations of copper during exponential growth, and activity was unresponsive to perturbation with paraquot. The biochemical response pathways invoked by sub-lethal copper concentrations are exceptionally complex; though integral cellular functions are preserved, in part, through the coordination of defense enzymes, chaperones, antioxidants and protective osmolytes that likely help maintain cellular redox. This study extends our understanding of the ecology and physiology of this unique actinobacterium that could potentially inspire new biotechnologies in metal recovery and sequestration, and environmental restoration
Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
Both short and long sleep are associated with an adverse lipid profile,
likely through different biological pathways. To elucidate the biology
of sleep-associated adverse lipid profile, we conduct multi-ancestry
genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c,
LDL-c and triglycerides). In the total study sample
(discovery + replication) of 126,926 individuals from 5 different
ancestry groups, when considering either long or short total sleep time
interactions in joint analyses, we identify 49 previously unreported
lipid loci, and 10 additional previously unreported lipid loci in a
restricted sample of European-ancestry cohorts. In addition, we identify
new gene-sleep interactions for known lipid loci such as LPL and PCSK9.
The previously unreported lipid loci have a modest explained variance
in lipid levels: most notable, gene-short-sleep interactions explain
4.25% of the variance in triglyceride level. Collectively, these
findings contribute to our understanding of the biological mechanisms
involved in sleep-associated adverse lipid profiles.</p
Role of oral care to prevent VAP in mechanically ventilated Intensive Care Unit patients
Comparison of Torquing Ability of 0.019” × 0.025” Nickel Titanium and Fiber Composite Archwires -A Cone Beam Computed Tomography Study
Common variants APOC3, APOA5, APOE and PON1 are associated with variation in plasma lipoprotein traits in Greenlanders
Preliminary Validation of a High Docosahexaenoic Acid (DHA) and -Linolenic Acid (ALA) Dietary Oil Blend: Tissue Fatty Acid Composition and Liver Proteome Response in Atlantic Salmon (Salmo salar) Smolts
Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids
The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene–smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings