Functional Regulation of Phospholipase D Expression in Cancer and Inflammation

Phospholipase D (PLD) regulates downstream effectors by generating phosphatidic acid. Growing links of dysregulation of PLD to human disease have spurred interest in therapeutics that target its function. Aberrant PLD expression has been identified in multiple facets of complex pathological states, including cancer and inflammatory diseases. Thus, it is important to understand how the signaling network of PLD expression is regulated and contributes to progression of these diseases. Interestingly, small molecule PLD inhibitors can suppress PLD expression as well as enzymatic activity of PLD and have been shown to be effective in pathological mice models, suggesting the potential for use of PLD inhibitors as therapeutics against cancer and inflammation. Here, we summarize recent scientific developments regarding the regulation of PLD expression and its role in cancer and inflammatory processes.     

Modulating the sensing properties of Escherichia coli-based bioreporters for cadmium and mercury

Applied Microbiology and Biotechnology - Despite the large number of bioreporters developed to date, the ability to detect heavy metal(loid)s with bioreporters has thus far been limited owing to...     

FHL蛋白与肺动脉高压研究进展

FHL(four-and-a-half-LIM domain)是含4(1/2)个LIM结构域富含半胱氨酸的细胞骨架蛋白,LIM是一种在C.elegans线虫的Lin-1和Mec-3基因及大鼠Isl-1基因编码的DNA结合蛋白中分离鉴定出来的基因序列,LIM取三个基因的首字母而成。FHL家族含FHL-1-5五个成员,而FHL-1-3最早发现在心脏的发育过程中起重要作用,后面发现在肺动脉高压中有促进增殖、迁移等作用。本文就FHL家族和肺动脉高压关系作一综述,阐明FHL蛋白在PH进程中的重要作用。     

Contact-Free Palm-Vein Recognition Based on Local Invariant Features

Contact-free palm-vein recognition is one of the most challenging and promising areas in hand biometrics. In view of the existing problems in contact-free palm-vein imaging, including projection transformation, uneven illumination and difficulty in extracting exact ROIs, this paper presents a novel recognition approach for contact-free palm-vein recognition that performs feature extraction and matching on all vein textures distributed over the palm surface, including finger veins and palm veins, to minimize the loss of feature information. First, a hierarchical enhancement algorithm, which combines a DOG filter and histogram equalization, is adopted to alleviate uneven illumination and to highlight vein textures. Second, RootSIFT, a more stable local invariant feature extraction method in comparison to SIFT, is adopted to overcome the projection transformation in contact-free mode. Subsequently, a novel hierarchical mismatching removal algorithm based on neighborhood searching and LBP histograms is adopted to improve the accuracy of feature matching. Finally, we rigorously evaluated the proposed approach using two different databases and obtained 0.996% and 3.112% Equal Error Rates (EERs), respectively, which demonstrate the effectiveness of the proposed approach.     

Reduction in leaf size at higher altitudes across 39 broad-leaved herbaceous species on the northeastern Qinghai-Tibetan Plateau

青藏高原东北部39种阔叶草本植物叶大小随海拔增加而减少 种间或种内的叶大小随环境变化存在很大的差异，但这些差异如何随海拔变化一直都在争论。我们在青藏高原东北缘的冷龙岭和达坂山，沿海拔3200–4400 m的山坡上选取生长在开阔环境下的39种阔叶草本植物，观测了叶大小、叶长、叶宽和比叶重。研究结果表明，随海拔增加叶片显著减小，而且叶片面积的减小主要受叶片长度的影响，即随海拔增加叶长度减小明显。此外，叶片面积与海拔之间的关系随物种、叶倾角和叶表面特征而不同。利用局地环境观测数据驱动的能量平衡模型分析发现：叶温能更密切地追随气温变化，叶大小变化对叶温的影响在高海拔更为强烈。同时，基于上述能量平衡的计算结果，我们认为青藏高原东北部阔叶草本植物的海拔分布上限大约为5400 m。     

Spatiotemporal Segregation of Neural Response to Auditory Stimulation: An fMRI Study Using Independent Component Analysis and Frequency-Domain Analysis

Although auditory processing has been widely studied with conventional parametric methods, there have been a limited number of independent component analysis (ICA) applications in this area. The purpose of this study was to examine spatiotemporal behavior of brain networks in response to passive auditory stimulation using ICA. Continuous broadband noise was presented binaurally to 19 subjects with normal hearing. ICA was performed to segregate spatial networks, which were subsequently classified according to their temporal relation to the stimulus using power spectrum analysis. Classification of separated networks resulted in 3 stimulus-activated, 9 stimulus-deactivated, 2 stimulus-neutral (stimulus-dependent but not correlated with the stimulation timing), and 2 stimulus-unrelated (fluctuations that did not follow the stimulus cycles) components. As a result of such classification, spatiotemporal subdivisions were observed in a number of cortical structures, namely auditory, cingulate, and sensorimotor cortices, where parts of the same cortical network responded to the stimulus with different temporal patterns. The majority of the classified networks seemed to comprise subparts of the known resting-state networks (RSNs); however, they displayed different temporal behavior in response to the auditory stimulus, indicating stimulus-dependent temporal segregation of RSNs. Only one of nine deactivated networks coincided with the “classic” default-mode network, suggesting the existence of a stimulus-dependent default-mode network, different from that commonly accepted.