8 research outputs found

    CSK is required for fulvestrant-induced ERα protein degradation in MCF-7 cells.

    No full text
    <p>(A, B) RNAi knockdown of CSK protein expression caused resistance of intracellular ERα protein to fulvestrant-induced degradation: Western blotting. Cells were infected with control (pLKO.1) or two CSK-knockdown shRNA lentivirus clones and subjected to exposure to fulvestrant. Expression of ERα protein was determined by Western blotting at varying time points of exposure (A). Intensities of ERα protein bands were determined by densitometry (B, mean±SEM of three independent experiments. Asterisk indicates statistical significance, p<0.05). (C) Similar experiments as shown in panels (A, B) were performed, but amounts of ERα protein in total cellular protein were determined by ELISA (mean±SEM of three independent experiments; *, p<0.05 to vehicle control; #, p<0.05 to pLKO.1-infected cells exposed to fulvestrant for the same period).</p

    RNAi knockdown of CSK does not affect MCF-7 cell sensitivity to tamoxifen or paclitaxel.

    No full text
    <p>Cells were infected with empty lentivirus vector (pLKO.1) or two independent clones of lentiviruses expressing different shRNA species targeting CSK shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060889#pone-0060889-g001" target="_blank">Figure 1</a> (CSK KD#1 and #2) and then exposed to 1 µM 4-hydroxytamoxifen (4-OHT) for 10 days (A) or 1–1000 nM paclitaxel for 2 days (B). Cell viability was determined by crystal violet staining (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060889#pone.0060889.s003" target="_blank">Fig. S3</a>) and quantified by spectrophotometry (mean±SEM of three or more independent experiments).</p

    Both fulvestrant and 17β-estradiol (E2) enhance proteasomal degradation of ERα protein in MCF-7 cells.

    No full text
    <p>(A–C) Fulvestrant (A) and E2 (B) caused time-dependent reduction in ERα protein expression: Western blotting. Intensities of ERα protein bands were determined by densitometry (C, mean±SEM of three independent experiments. Asterisks indicate statistical significance, p<0.05 to vehicle control). (D, E) E2 dose-dependent reduction in ERα protein expression. Cells were exposed to varying concentrations of E2 for 6 hours and subjected to Western blotting analysis of ERα protein (D). Intensities of ERα protein bands were determined by densitometry (E, mean±SEM of three independent experiments. Asterisk indicates t-test significance p<0.05 to vehicle control). (F–H), Pre-exposure to MG132 dose-dependently prevented reduction in ERα protein expression caused by fulvestrant (F) and E2 (G). Con, vehicle control (0.1% ethanol). Cells were exposed to varying concentrations of MG132 for 30 minutes and then exposed additionally to fulvestrant or E2 for 6 hours. Intensities of ERα protein bands were determined by densitometry (H, mean±SEM of three independent experiments. Asterisks indicate statistical significance, p<0.05).</p

    A genomic catalog of Earth’s microbiomes

    No full text
    The reconstruction of bacterial and archaeal genomes from shotgun metagenomes has enabled insights into the ecology and evolution of environmental and host-associated microbiomes. Here we applied this approach to >10,000 metagenomes collected from diverse habitats covering all of Earth’s continents and oceans, including metagenomes from human and animal hosts, engineered environments, and natural and agricultural soils, to capture extant microbial, metabolic and functional potential. This comprehensive catalog includes 52,515 metagenome-assembled genomes representing 12,556 novel candidate species-level operational taxonomic units spanning 135 phyla. The catalog expands the known phylogenetic diversity of bacteria and archaea by 44% and is broadly available for streamlined comparative analyses, interactive exploration, metabolic modeling and bulk download. We demonstrate the utility of this collection for understanding secondary-metabolite biosynthetic potential and for resolving thousands of new host linkages to uncultivated viruses. This resource underscores the value of genome-centric approaches for revealing genomic properties of uncultivated microorganisms that affect ecosystem processes.</p
    corecore