On the causes of trends in the seasonal amplitude of atmospheric CO2

No consensus has yet been reached on the major factors driving the observed increase in the seasonal amplitude of atmospheric CO₂ in the northern latitudes. In this study, we used atmospheric CO₂ records from 26 northern hemisphere stations with a temporal coverage longer than 15 years, and an atmospheric transport model prescribed with net biome productivity (NBP) from an ensemble of nine terrestrial ecosystem models, to attribute change in the seasonal amplitude of atmospheric CO₂. We found significant (p < .05) increases in seasonal peak‐to‐trough CO₂ amplitude (AMP_P‐T) at nine stations, and in trough‐to‐peak amplitude (AMP_T‐P) at eight stations over the last three decades. Most of the stations that recorded increasing amplitudes are in Arctic and boreal regions (>50°N), consistent with previous observations that the amplitude increased faster at Barrow (Arctic) than at Mauna Loa (subtropics). The multi‐model ensemble mean (MMEM) shows that the response of ecosystem carbon cycling to rising CO₂ concentration (eCO₂) and climate change are dominant drivers of the increase in AMP_P‐T and AMP_T‐P in the high latitudes. At the Barrow station, the observed increase of AMP_P‐T and AMP_T‐P over the last 33 years is explained by eCO₂ (39% and 42%) almost equally than by climate change (32% and 35%). The increased carbon losses during the months with a net carbon release in response to eCO₂ are associated with higher ecosystem respiration due to the increase in carbon storage caused by eCO₂ during carbon uptake period. Air‐sea CO₂ fluxes (10% for AMP_P‐T and 11% for AMP_T‐P) and the impacts of land‐use change (marginally significant 3% for AMP_P‐T and 4% for AMP_T‐P) also contributed to the CO₂ measured at Barrow, highlighting the role of these factors in regulating seasonal changes in the global carbon cycle.     

心房颤动患者血清脑钠肽水平变化的临床研究

目的：探讨患者心房颤动（房颤,AF）发作时对血清脑钠肽水平的影响。方法：选择阵发性房颤组、持续性房颤组、对照组（窦性心律）患者各30例,观察各组血清脑钠肽水平;并对阵发性房颤组中心室率≤100 beats/min与心室率〉100 beats/min的患者进行亚组分析;观察阵发性房颤组复律后24 h和30 d血清脑钠肽水平。结果：阵发性房颤组和持续性房颤组血清脑钠肽水平明显高于对照组（P〈0.01）,房颤复律后血清脑钠肽水平很快下降。结论：血清脑钠肽水平在房颤发作时明显升高,血清脑钠肽水平的升高与房颤的发作有关。     

西欧地中海地区中新世以来的植被演化和现代地中海植被的形成

从距今2500万年的中新世初到更新世,欧洲地中海沿岸地区的植被是从东亚型的热带——亚热带常绿阔叶林逐渐过渡为旱生性的蒿——藜草原。古热带和亚洲、北美成份从晚中新世起逐渐消失,少数一直延续到中更新世。孢粉分析表明,地中海成分从中上新世起有明显增加,地中海常绿硬叶林的发展与北极冰盖的形成密切相关。     

逆转录病毒载体介导的RNA干扰稳定抑制肌肉生长抑制素GDF-8的表达

为将肌肉生长抑制素的干扰序列表达盒hU6-siGDF-8有效导入肌成纤维细胞C2C12中, 以pAV-hU6 + 27载体为基础构建逆转录病毒载体pXSN-hU6-siGDF-8, 并使之与pVSV-G质粒共转染GP-293细胞, 用包装出的病毒粒子感染宿主细胞C2C12, G418筛选稳定整合逆转录病毒的抗性细胞库。2周后, Western Blotting和Real-Time PCR分析结果显示, 细胞内源性的GDF-8基因的表达得到了有效的抑制; MTT法和细胞流式仪分析表明, G418抗性细胞得到了更有效的增殖, 并且G0/G1期细胞数量减少了13.7%, S期细胞数量增加了14.9%。因此, 逆转录病毒载体的RNA干扰系统可以稳定抑制 GDF-8基因表达, 它将成为治疗肌肉萎缩疾病的一个强有力的工具。     

过氧亚硝酸阴离子通过鸟苷酸环化酶途径抑制钠电流影响海马神经元兴奋性

过氧亚硝酸阴离子（ONOO-）是一种性质活泼的自由基,可引起强的氧化性损伤,介导了一氧化氮（NO）的大部分毒性作用．应用全细胞膜片钳技术,探讨ONOO-对脑片海马神经元电压门控钠通道电流（INa）和神经元兴奋性的影响．结果表明,ONOO-供体SIN-1（10,500,2000μmol／L）可浓度依赖性抑制INa电流峰值．SIN-1与ONOO-清除剂尿酸共处理,并不影响INa．500μmol／L的SIN-1可使INa的I-V曲线上移,并可抑制其失活后恢复过程,但对INa的激活和失活过程无影响．SIN-1还可抑制动作电位发放频率和幅值．脑片预处理腺苷酸环化酶（adenylate cyclase,AC）抑制剂MDL-12,330A（25μmol／L）和NEM（50μmol／L）对SIN-1的作用无影响．然而,预处理鸟苷酸环化酶（CG）抑制剂ODQ可抑制SIN-1对INa的作用．以上结果提示,ONOO-通过cGMP-INa-AP信号级联系统作用于海马神经元,与PKA和蛋白巯基亚硝化途径无关,这可能是ONOO-神经毒性的机制之一．     

转基因哺乳动物细胞自合成多不饱和脂肪酸

亚油酸、亚麻酸是哺乳动物体内的必需脂肪酸,但哺乳动物由于缺乏△12和ω-3脂肪酸脱氢酶而自身不能合成．△12和ω-3脂肪酸脱氢酶存在于真菌、植物和一些低等动物中．为了实现哺乳动物细胞亚油酸的自身合成,克隆了线虫编码△12脂肪酸脱氢酶的FAT-2基因eDNA序列,通过优化密码子,构建真核表达载体,稳定转染细胞,经抗生素筛选获得稳定整合FAT-2基因的CHO细胞．PCR和RNA印迹（Northern blot）验证了基因的整合和表达．气相色谱分析细胞的脂肪酸含量表明,FAT-2基因的表达显著提高了转基因细胞中亚油酸的含量,亚油酸含量为阴性对照细胞的2．4倍．研究结果表明,低等动物△12脂肪酸脱氢酶可以重建哺乳动物多不饱和脂肪酸合成途径,并利用细胞中的油酸合成亚油酸．上述研究为进一步利用转基因技术促进农业动物合成多不饱和脂肪酸从而提高食品营养价值奠定基础．     

Inter‐α‐inhibitor deficiency in the mouse is associated with alterations in anxiety‐like behavior,exploration and social approach

In recent years, several genome‐wide association studies have identified candidate regions for genetic susceptibility in major mood disorders. Most notable are regions in a locus in chromosome 3p21, encompassing the genes NEK4‐ITIH1‐ITIH3‐ITIH4. Three of these genes represent heavy chains of the composite protein inter‐α‐inhibitor (IαI). In order to further establish associations of these genes with mood disorders, we evaluated behavioral phenotypes in mice deficient in either Ambp/bikunin, which is necessary for functional ITIH1 and ITIH3 complexes, or in Itih4, the gene encoding the heavy chain Itih4. We found that loss of Itih4 had no effect on the behaviors tested, but loss of Ambp/bikunin led to increased anxiety‐like behavior in the light/dark and open field tests and reduced exploratory activity in the elevated plus maze, light/dark preference and open field tests. Ambp/bikunin knockout mice also exhibited a sex‐dependent exaggeration of acoustic startle responses, alterations in social approach during a three‐chamber choice test, and an elevated fear conditioning response. These results provide experimental support for the role of ITIH1/ITIH3 in the development of mood disorders.     

Compatible Models of Carbon Content of Individual Trees on a Cunninghamia lanceolata Plantation in Fujian Province,China

We tried to establish compatible carbon content models of individual trees for a Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) plantation from Fujian province in southeast China. In general, compatibility requires that the sum of components equal the whole tree, meaning that the sum of percentages calculated from component equations should equal 100%. Thus, we used multiple approaches to simulate carbon content in boles, branches, foliage leaves, roots and the whole individual trees. The approaches included (i) single optimal fitting (SOF), (ii) nonlinear adjustment in proportion (NAP) and (iii) nonlinear seemingly unrelated regression (NSUR). These approaches were used in combination with variables relating diameter at breast height (D) and tree height (H), such as D, D²H, DH and D&H (where D&H means two separate variables in bivariate model). Power, exponential and polynomial functions were tested as well as a new general function model was proposed by this study. Weighted least squares regression models were employed to eliminate heteroscedasticity. Model performances were evaluated by using mean residuals, residual variance, mean square error and the determination coefficient. The results indicated that models with two dimensional variables (DH, D²H and D&H) were always superior to those with a single variable (D). The D&H variable combination was found to be the most useful predictor. Of all the approaches, SOF could establish a single optimal model separately, but there were deviations in estimating results due to existing incompatibilities, while NAP and NSUR could ensure predictions compatibility. Simultaneously, we found that the new general model had better accuracy than others. In conclusion, we recommend that the new general model be used to estimate carbon content for Chinese fir and considered for other vegetation types as well.     

A new computational approach for real protein folding prediction

An effective and fast minimization approach is proposed for the prediction of protein folding, in which the 'relative entropy' is used as a minimization function and the off-lattice model is used. In this approach, we only use the information of distances between the consecutive Calpha atoms along the peptide chain and a generalized form of the contact potential for 20 types of amino acids. Tests of the algorithm are performed on the real proteins. The root mean square deviations of the structures of eight folded target proteins versus the native structures are in a reasonable range. In principle, this method is an improvement on the energy minimization approach.