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> To evaluate whether SENP1 expression is associated with ERG status in prostate cancers, we used data from previous studies (expanded from [ 20, 21]).
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The skeletal muscle RNA samples used in this study expanded from posthatch 1 d to 8 w, which covered the period with most divergent muscle growth rates.
Further studies expanded the IL-17 protein family from IL-17A to IL-17F (Kolls & Linden 2004), and Th17 cells were characterized as one of the major sources of IL-17A and IL-17F (Aggarwal et al. 2003; Bettelli & Kuchroo 2005; Langrish et al. 2005).
This cell line and its triple reporter (TR) were previously described [ 15, 16] and cells used in this study were expanded from freeze downs from 2004.
The STP field of study expanded too, from the ionosphere through the newly discovered magnetosphere and Van Allen radiation belts to solar radiation and radio astronomy where Australia became a world leader.
In subsequent work from Taiwan, the study population was expanded from the area of endemic blackfoot disease used in the first two studies (Chen et al. 1988; Wu et al. 1989) to a much more comprehensive study of all 314 precincts and townships in Taiwan as a whole.
This study significantly expands from our previous IE studies in Belgian Shepherds [ 14, 15] to achieve four major goals.
The phosphoproteins and phosphosites identified from our study expanded our knowledge of protein phosphorylation modification in plants, especially in monocots.
This study expanded and further refined findings from a previous laboratory school study, due to a larger sample size (129 vs 52), and additional time points assessed predose and 13-hour measurements (-0.5 to 13 hours in this study vs 1 to 12 hours) [ 13].
Pelvic incidence (PI =pelvic tilt (PT)+sacral slope (SS) is an established trigonometric equation which can be expanded from studying the fixed pelvis with the spine to a fixed spinopelvic complex with the remnant spine, in scenarios of spinopelvic fusion or ankylosis.
With SOM, a choice of "too many" classes will simply subdivide a larger class into neighboring classes, an outcome we argue as less severe for our application than over generalization.In this study, we expand from a traditional clustering approach in that we wanted to identify a variety of classes that well describe the multipollutant features in our data with a relaxed emphasis on parsimony.
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