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Chris Miller

Publications and source records attributed to Chris Miller.

5 recordsLinked to original sources

Roles for an Epo receptor Tyr-343 Stat5 pathway in proliferative co-signaling with kit.

Erythroid progenitor cell expansion depends upon co-signaling by Epo receptor (EpoR) and Kit, but underlying mechanisms are incompletely understood. To quantitatively analyze EpoR contributions to co-signaling, phosphotyrosine (Tyr(P)) mutants were expressed as human epidermal growth factor (hEGF) receptor-mEpoR EE chimeras at matched and physiological levels in FDCW2 hematopoietic progenitor cells and were assayed for proliferative activities in the absence or presence of endogenous Kit stimulation. Two Tyr(P)-null (but Jak2-coupled) EpoR forms each retained <or=25% of the wild-type activity, whereas the add-back of single Tyr(P) sites in the EpoR forms EE-T-Y343 (Stat5 binding site), EE-Y479 (p85/phosphatidylinositol 3-kinase binding site), or EE-Y464 (Src kinase binding site) significantly enhanced activities (to 100, 95, and 50% of EE-WT (wild type) levels, respectively). EE-Y343&Y401 and EEF343&F401 double add-back and deletion constructs were also prepared and were shown to possess 90 and <or=50% of wild-type activity. In contrast, efficient Kit co-signaling activity was retained only by EE-T-Y343 and EE-Y343&Y401 EpoR forms. EE-T-Y343 together with EE-T-Y343F and EE-WT EpoR forms were also analyzed in embryonic stem cell-derived erythroid G1E-2 cells with highly comparable outcomes, including the ability of EE-T-Y343 (but not EE-T-Y-343F) to synergize with Kit. Despite specific connection of EE-T-Y343 to Stat5, the contributions of Kit to EpoR-dependent proliferation did not involve Kit effects on Stat5 activation (but was limited by the mutation of Kit Tyr(P)-567 and Tyr(P)-569 Src kinase recruitment sites). Instead, co-signaling appears to depend upon the downstream integration of Kit signals with the targets of an EpoR/Jak2/Y343/Stat 5 response axis.

Animals↗

A comparison of wellhead protection area delineation methods for public drinking water systems in Whatcom county, Washington.

Groundwater protection is a critical issue on a global scale. A relatively recent strategy for reducing the potential for contamination has been to establish wellhead protection areas on the land surface above aquifers. One method of delineating groundwater flow around public supply wells is the calculated-fixed-radius (CFR) method. The purpose of this study was, with a geographic information system (GIS), to create spatial-data overlays based on CFRs and to compare the areas captured with the results of more complex methods (i.e., analytical methods, hydrogeologic mapping, and numerical flow/transport models). The overlays showed that as distance from the well decreased, the areas captured by the CFRs became more similar to those captured by the noncircular (more complex) methods. In the one-year overlay, only 20 percent of the noncircular areas were not captured by the CFR method, while 42 percent were not captured in the 10-year overlay. The one-year CFR had a 57 percent overcapture area outside the noncircular area, while the 10-year over-captured was very high, at 75 percent. Study results indicate that local health departments can successfully incorporate both existing formal wellhead protection areas and CFRs into various land use permitting processes, with emphasis placed on six-month and one-year time-of-travel areas. Where time, money, and personnel are limited, the CFR method is an effective starting point for improved protection of groundwater quality.

Geographic Information Systems↗

Expression patterns of Wnts, Frizzleds, sFRPs, and misexpression in transgenic mice suggesting a role for Wnts in pancreas and foregut pattern formation.

It is well established that gut and pancreas development depend on epithelial-mesenchymal interactions. We show here that several Wnt, Frizzled, and secreted frizzled-related protein (sFRP) encoding mRNAs are present during mouse pancreatic morphogenesis. Wnt5a and 7b mRNA is broadly expressed in foregut mesenchyme starting around embryonic day 10 in mice. Other members expressed are Wnt2b, Wnt5b, and Wnt11. In addition, genes for the Wnt receptors, Frizzled2, 3, 4, 5, 6, 7, 8, and 9 are expressed. To understand potential Wnt functions in pancreas and foregut development in vivo, we analyzed transgenic F0 mouse fetuses expressing Wnt1 and 5a cDNAs under control of the PDX-1 gene promoter. In PDX-Wnt1 fetuses, the foregut region normally comprising the proximal duodenum instead resembles a posterior extension of the stomach, often associated with complete pancreatic and splenic agenesis. Furthermore, the boundary between expression domains of gastric and duodenal markers is shifted in a posterior direction. In PDX-Wnt5a fetuses, several structures derived from the proximal foregut are reduced in size, including the pancreas, spleen, and stomach, without any apparent shift in the stomach to duodenum transition. In these fetuses, overall pancreatic morphology is changed and the pancreatic epithelium is dense and compact, consistent with Wnt5A effects on cell movements and/or attachment. Taken together, these results suggest that Wnt genes participate in epithelial-mesenchymal signaling and may specify region identity in the anterior foregut.

Animals↗

A quasi-static method for determining the characteristics of a motion capture camera system in a "split-volume" configuration.

The purpose of this study was to determine the accuracy, repeatability and resolution of a six-camera Motion Analysis system in a vertical split-volume configuration using a unique quasi-static methodology. The position of a reflective marker was recorded while it was moved quasi-statically over a range of 2.54 mm (0.100 inches) via a linearly-translating table. The table was placed at five different heights to cover both sub-volumes and the overlapping region. Data analysis showed that accuracy, repeatability and resolution values were consistent across all regions of the split-volume, including the overlapping section.

Analysis of Variance↗