Magic™ Anti-D-dimer monoclonal antibody, clone N29723EE

Obesity-prone (OP) and obesity-resistant (OR) rats with different responses to development of obesity in spite of the same genetic background are useful animal models for searching for markers during the development of obesity. Here, we investigated whether plasma proteins of OP and OR rats may behave in a different way in males and females. We performed a comparative proteomic analysis using 2-DE combined with MALDI-TOF/MS on proteins from OP and OR male and female rats to discover gender-specific rat plasma proteins associated with susceptibility or resistance to diet-induced obesity. A total of 29 proteins showing differential expression between the groups were identified by MALDI-TOF/MS and database searches. These proteins were classified into 4 groups according to their regulation patterns in response to diet and gender. 22 proteins showed significant differences between OP and OR rats in males and/or females (Group I, II, and III) and 7 proteins exhibited only a high fat diet (HFD)-responsive difference in male or female rats (Group IV). In conclusion, the proteins negatively (ITIH3, FGG, TUBB5, and ZAG) or positively (Hp, ITIH4, and RBP) correlated with obesity found in this study could be used for selection of new targets for gender specific-medical treatment of obesity. (C) 2011 Elsevier B.V. All rights reserved.

Conventional polar format algorithm (PFA) and its variations normally assume an ideal imaging geometry of a linear flight path, which cannot counteract the non-uniformity of samples existing in the circumstance of a highly non-linear aperture. This scenario may occur because of various factors such as rugged topography, atmospheric turbulence and intended manoeuvres. To address this challenge, this study develops a novel PFA with aperture accommodation for spotlight synthetic aperture radar (SAR) imaging. The proposed algorithm provides a new adaption of the fast Gaussian grid (FGG) non-uniform fast Fourier transform (NUFFT) scheme to two-dimensional (2D) SAR imaging of 3D scene, whose main idea is to convolve the non-uniform samples onto a uniform grid with a Gaussian kernel and then exploit the efficient 2D FFT for image reconstruction. In virtue of the 2D FGG NUFFT, a favourable tradeoff between reconstruction precision and computational efficiency is gained. Simulations illustrate the superiority of the proposed algorithm over the conventional non-uniform Sinc interpolation method. Also, the public real Gotcha dataset validates the effectiveness of the authors method.