2,344 research outputs found
ANG influences the histone modifications and Pol II occupation at ABSE region.
No full text<p>MCF-7 cells were transfected with siRNA targeting ANG or control siRNA for 72 hours. ChIP assays were performed with antibodies against acetyl-H4 (<b>A</b>), H3K4me2 (<b>B</b>), or RNA Pol II (<b>C</b>) and analyzed by qPCR. Values were means±s.d. for triplicates.</p
ERRγ is involved in ANG-regulated cancer cell proliferation and cell cycle protein expression.
No full text<p>(<b>A</b>) MCF-7 cells transfected with siRNAs targeting ANG, ERRγ, or both were seeded at equal density. Cell numbers were counted at each time point as indicated. One-way ANOVA was used for statistical analysis of cell proliferation. (<b>B</b>) MCF-7 cells were transfected with siRNAs targeting ANG, ERRγ, or both and the expression levels of indicated genes were detected with RT-qPCR. (<b>C</b>) MCF-7 cells transfected with siRNAs targeting ANG, ERRγ, or both were applied to ChIP assays with antibodies against RNA Pol II or ERRγ. The antibody enriched DNA were analyzed by qPCR. Values were means±s.d. for triplicates.</p
Laurel FULKERSON, The Ovidian Heroine as Author. Reading, Writing, and Community in the Heroides.
No full textTordeur Pol. Laurel FULKERSON, The Ovidian Heroine as Author. Reading, Writing, and Community in the Heroides. . In: L'antiquité classique, Tome 76, 2007. p. 332
Laurel FULKERSON, The Ovidian Heroine as Author. Reading, Writing, and Community in the Heroides.
No full textTordeur Pol. Laurel FULKERSON, The Ovidian Heroine as Author. Reading, Writing, and Community in the Heroides. . In: L'antiquité classique, Tome 76, 2007. p. 332
Tony Woodman et Jonathan Powell (Ed.), Author and Audience in Latin Literature
No full textTordeur Pol. Tony Woodman et Jonathan Powell (Ed.), Author and Audience in Latin Literature. In: L'antiquité classique, Tome 63, 1994. pp. 382-383
Looking back
No full textThese days the Government Architect is an influential consultant, who gets the attention of a number of government ministers. A Government Architect doesnt find much time to do any actual building though, and the same will be true for the new Government Architect, Liesbeth van der Pol, who was appointed in August. A look back at the old-fashioned Government Architects and their predecessors
Spatially coherent diffusion of human RNA Pol II depends on transcriptional state rather than chromatin motion
No full textGene transcription by RNA polymerase II (RNAPol II) is a tightly regulated process in the genomic, temporal, and spatial context. Recently, we have shown that chromatin exhibits spatially coherently moving regions over the entire nucleus, which is enhanced by transcription. Yet, it remains unclear how the mobility of RNA Pol II molecules is affected by transcription regulation and whether this response depends on the coordinated chromatin movement. We applied our Dense Flow reConstruction and Correlation method to analyze nucleus-wide coherent movements of RNA Pol II in living human cancer cells. We observe a spatially coherent movement of RNA Pol II molecules over [Image: see text] 1 μm, which depends on transcriptional activity. Inducing transcription in quiescent cells decreased the coherent motion of RNA Pol II. We then quantify the spatial correlation length of RNA Pol II in the context of DNA motion. RNA Pol II and chromatin spatially coherent motions respond oppositely to transcriptional activities. Our study holds the potential of studying the chromatin environment in different nuclear processes
Detecting plume-driven polynyas from dual-pol SAR imagery
No full textAntarctic ocean temperatures are rising due to climate change, causing land ice to melt at increasingly higher rates. Ice shelf bottom melt is a key factor responsible for Antarctic ice mass loss and as such understanding melt processes in the Antarctic is therefore key to more accurately predict how the global sea level will respond to climate change in the foreseeable future. Basal melt results in the formation of both basal melt channels underneath an ice shelf and persistent sea ice wakes (named plume-driven polynyas) at the ice shelf shoreline. The goal of this research is to develop a method that can help to automatically infer basal melt locations along the Antarctic shoreline with significantly increased spatio-temporal resolution compared to previously researched basal melt detection methods.We infer basal melt locations by detecting plume-driven polynyas. We used dual-pol (HH/HV) Sentinel-1 EW SAR data (40x40m resolution) in combination with GLCM textural features as input for a random forest classification that differentiates images as water or ice in four sub-classes: undisturbed ’open’ water, disturbed ’rough’ water, sea ice and (floating) land ice. We assessed what the advantages and limitations of this approach were for plume-driven polynya detection by performing water-ice (sub-class) classifications and examining which GLCM features proved most useful, what GLCM window size is preferred, and how classification can be aided by post-processing classified images.We computed GLCM textures for window sizes w = [5,11,21] and created a classifier for each choice (GLCM5, GLCM11 and GLC21) and compared results to a classifier based on original dual-pol SAR data (BASE). Via cross validated recursive feature elimination we determined that ’sum average’ (HH and HV polarization) and ’difference variance’ (HV polarization) were most useful for separation of water and ice classes (HH_savg, HV_savg and HV_dvar). Our results have shown that using GLCM texture based dual-pol classifiers improves water-ice classification significantly compared to dual-pol only classifiers, although using HH_savg and HV_savg instead of orignal dual-pol data comes at a cost of reduced spatial resolution. Water-ice classification accuracy of BASE was 92.2% (kappa = 84.4%) was increased to 95.9% (kappa = 91.5%) for GLCM5, 96.3% (kappa = 92.7%) for GLCM11 and to 96.5% (kappa = 93.0%) for GLCM21. From a spatial context, GLCM21 showed an insufficient ability to detect small-scaled bodies of water at a sub-kilometer scale. GLCM5 showed unsatisfactory results in terms of sea ice classification. GLCM11 showed highest robustness in both these performance aspects and proved to be most successful classifier for the application of polynya detection. Using an area filter as a post-processing step proved successful when a classifier is based on GLCM data with a window size no larger than w=11. Noise output (small regions of falsely classified open water pixels) was heavily reduced via this form of post-processing and significantly increased polynya detection performance.The final classified product however still contained too many incorrectly classified water regions of similar spatial scales as plume-driven polynyas to be able to apply this algorithm as a reliable automated polynya detection method. We urge to build upon this SAR-based detection method, by using additional non-GLCM input features or using extra post-processing steps, such as temporally filtering water body presence, until results are satisfactory for a fully automated plume-driven polynya detection algorithm. The method presented here has the potential to make detection significantly faster, easier and more accessible than the current methods available. Lastly, in its current state, this method can already be used to validate predicted locations of basal melt by ocean-ice sheet models and DEM-based methods
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