FGFR3 mutation affects cell growth, apoptosis and attachment in keratinocytes

FGFR3 mutations have recently been identified in several benign epidermal skin lesions such as seborrheic keratosis, epidermal nevus and solar lentigo. The functional consequences of these mutations in human skin are as yet unknown. In this study we analyzed the functional effects of the most common FGFR3 mutation in benign skin tumors, the R248C FGFR3 hotspot mutation, in human HaCaT keratinocytes. The cells were stably transduced with either the R248C or wildtype FGFR3 IIIb cDNA using a retroviral vector system. FGFR3 mutant and wildtype cells showed similar growth rates at subconfluence. However, at confluence FGFR3 mutant keratinocytes revealed a significantly higher cell number than wildtype cells. Furthermore, FGFR3 mutant cells showed significantly lower levels of apoptosis and decreased attachment to fibronectin compared with FGFR3 wildtype cells. Expression of mutant FGFR3 did not alter migration and senescence. Microarray analysis revealed only a few differentially expressed genes between FGFR3 mutant and wildtype keratinocytes. Enhanced phosphorylation of ERK1/2 was observed in confluent R248C mutant HaCaT cells compared with wildtype keratinocytes. Our results suggest that an increased cell number at confluence along with a decreased apoptosis may contribute to the development of acanthotic tumors in FGFR3 mutant skin in vivo.     

The First Outbreak of Eastern Equine Encephalitis in Vermont: Outbreak Description and Phylogenetic Relationships of the Virus Isolate

The first known outbreak of eastern equine encephalitis (EEE) in Vermont occurred on an emu farm in Rutland County in 2011. The first isolation of EEE virus (EEEV) in Vermont (VT11) was during this outbreak. Phylogenetic analysis revealed that VT11 was most closely related to FL01, a strain from Florida isolated in 2001, which is both geographically and temporally distinct from VT11. EEEV RNA was not detected in any of the 3,905 mosquito specimens tested, and the specific vectors associated with this outbreak are undetermined.     

Quantifying Social Motivation in Mice Using Operant Conditioning

In this protocol, social motivation is measured in mice through a pair of operant conditioning paradigms. To conduct the experiments, two-chambered shuttle boxes were equipped with two operant levers (left and right) and a food receptacle in one chamber, which was then divided from the second chamber by an automated guillotine door covered by a wire grid. Different stimulus mice, rotated across testing days, served as a social stimulus behind the wire grid, and were only visible following the opening of the guillotine door. Test mice were trained to lever press in order to open the door and gain access to the stimulus partner for 15 sec. The number of lever presses required to obtain the social reward progressively increased on a fixed schedule of 3. Testing sessions ended after test mice stopped lever pressing for 5 consecutive minutes. The last reinforced ratio or breakpoint can be used as a quantitative measure of social motivation. For the second paradigm, test mice were trained to discriminate between left and right lever presses in order to obtain either a food reward or the social reward. Mice were rewarded for every 3 presses of each respective lever. The number of food and social rewards can be compared as a measurement of the value placed upon each reward. The ratio of each reward type can also be compared between mouse strains and the change in this ratio can be monitored within testing sessions to measure satiation with a given reward type. Both of these operant conditioning paradigms are highly useful for the quantification of social motivation in mouse models of autism and other disorders of social behavior.     

Patterns of spatial autocorrelation of assemblages of birds, floristics, physiognomy, and primary productivity in the central Great Basin, USA

We fitted spatial autocorrelation functions to distance-based data for assemblages of birds and for three attributes of birds' habitats at 140 locations, separated by up to 65 km, in the Great Basin (Nevada, USA). The three habitat characteristics were taxonomic composition of the vegetation, physical structure of the vegetation, and a measure of primary productivity, the normalized difference vegetation index, estimated from satellite imagery. We found that a spherical model was the best fit to data for avifaunal composition, vegetation composition, and primary productivity, but the distance at which spatial correlation effectively was zero differed substantially among data sets ( c . 30 km for birds, 20 km for vegetation composition, and 60 km for primary productivity). A power-law function was the best fit to data for vegetation structure, indicating that the structure of vegetation differed by similar amounts irrespective of distance between locations (up to the maximum distance measured). Our results suggested that the spatial structure of bird assemblages is more similar to vegetation composition than to either vegetation structure or primary productivity, but is autocorrelated over larger distances. We believe that the greater mobility of birds compared with plants may be responsible for this difference.