Diffusive greenhouse gases fluxes from the surface of the Three Gorges Reservoir: Study at a site in Fuling

To investigate the water-air diffusive greenhouse gases (GHGs) fluxes from the Three Gorges Reservoir (TGR), a field experiment on carbon dioxide (CO₂), methane (CH₄) and nitrous oxide (N₂O) fluxes from water surface was carried out from March 2011 to August 2012 by floating static chamber method. The results showed that CO₂ was released to the atmosphere all the time and was less in autumn than in other seasons (P < 0.05). CH₄ was also released to the atmosphere throughout the year but more in summer than other three seasons (P < 0.05). N₂O flux was higher in autumn than other seasons (P < 0.05), and N₂O was absorbed from the atmosphere mainly in summer. Moreover, correlation analysis illustrated that CO₂ flux had significantly negative correlation with wind velocity (P < 0.05), whereas positive correlation with pH (P < 0.01) had been found. There was no significant correlation between CH₄ (or N₂O) flux and the measured environmental variables respectively (P > 0.05). Additionally, the annual fluxes of CO₂, CH₄ and N₂O were 140.45 ± 12.57 mg CO₂·m^?2 h^?1, 1.35 ± 0.14 mg CH₄·m^?2 h^?1 and 34.34 ± 11.64 μg N₂O·m^?2 h^?1, respectively. When compared to other reservoirs worldwide, the CO₂ and N₂O fluxes from TGR were higher than those from boreal and temperate reservoirs, but much lower than those from tropical reservoirs. CH₄ flux was lower than those from boreal, temperate and most tropical reservoirs. In our study, the surface area of the TGR emitted 1.42 × 10⁶ t CO₂, 1.19 × 10⁴ t CH₄ and 589.93 t N₂O in a year. The total GWP was 17.68 t CO₂-eq ha^?1 yr^?1, of which CO₂ flux was dominant (74.38%). Therefore, CO₂ was the main contributor of GHGs fluxes in our study and thus future researches should focus on how to reduce CO₂ fluxes from the surface of the TGR. TGR has a considerable contribution to regional GHG emissions.     

乌司他丁对非停跳冠脉搭桥术患者的心肺保护作用研究

目的:探讨乌司他丁对非停跳冠脉搭桥术患者的心肺保护作用。方法:选取2017年12月-2019年4月我院收治的非停跳冠脉搭桥术患者76例,根据使用的药物不同分为两组,对照组应用常规方法,研究组应用乌司他丁,在麻醉之后切皮之前为T1,旁路血管开放时时间点为T2,手术结束为T3,手术之后的8 h为T4。比较两组治疗前后的心肺功能指标、动脉血气分析及血浆炎症因子、氧合指数术后恢复。结果:和T1进行对比时,两组T3、T4中的气道阻力(Air way Resistance,Raw)、呼吸指数(Respiratory Index,RI)、肺泡-动脉血氧分压差P(A-a)DO2均有所升高,在T2、T4中(PVR)有所升高,在T2、T3、T4中肺顺应性(Compliance of Lung,CL)有所降低。和对照组进行对比时,研究组在T3、T4中肺循环阻力(pulmonary vascular resistance, PVR)、RI、P(A-a)DO2有所降低,在T2、T3、T4中通气死腔百分比(VD/VT)有所降低(P0.05),在T2中CL有所升高(P0.05);治疗前,两组BNP、TNF-α、IL-6、IL-8无统计学意义(P0.05),治疗后BNP、肿瘤坏死因子(tumor necrosis factor-α,TNF-α)、白细胞介素-6 (Interleukin-6,IL-6)、白细胞介素-8 (Interleukin-8,IL-8)在T1、T2、T3、T4中低于对照组(P0.05),肌钙蛋白(cardiac troponin,cTnI)在T1中和对照组没有明显差异(P0.05),T2、T3、T4中研究组明显低于对照组(P0.05),研究组氧合指数高于对照组(P0.05);研究组T1、T2、T3、T4时平均动脉压(mean artery pressure,MBP)均高于对照组(P0.05),T1、T2、T3、T4时心率均低于对照组(P0.05);研究组ICU停留时间、ICU带气管插管时间、ICU机械通气时间、肺部并发症均低于对照组(P0.05)。结论:乌司他丁用于非停跳冠脉搭桥术的效果较好,可以保护患者的心肺功能。     

CHIP modulates APP‐induced autophagy‐dependent pathological symptoms in Drosophila

Dysregulation of autophagy is associated with the neurodegenerative processes in Alzheimer's disease (AD), yet it remains controversial whether autophagy is a cause or consequence of AD. We have previously expressed the full‐length human APP in Drosophila and established a fly AD model that exhibits multiple AD‐like symptoms. Here we report that depletion of CHIP effectively palliated APP‐induced pathological symptoms, including morphological, behavioral, and cognitive defects. Mechanistically, CHIP is required for APP‐induced autophagy dysfunction, which promotes Aβ production via increased expression of BACE and Psn. Our findings suggest that aberrant autophagy is not only a consequence of abnormal APP activity, but also contributes to dysregulated APP metabolism and subsequent AD pathogenesis.     

Monitoring of Gene Expression Profiles and Isolation of Candidate Genes Involved in Pollination and Fertilization in Rice (Oryza Sativa L.) with a 10K cDNA Microarray

To monitor gene expression profiles during pollination and fertilization in rice at a genome scale, we generated 73,424 high-quality expressed sequence tags (ESTs) derived from the green/etiolated shoot and pistil (0-5 h after pollination, 5hP) of rice, which were subsequently used to construct a cDNA microarray containing ca. 10 000 unique rice genes. This microarray was used to analyze gene expression in pistil unpollinated (UP), 5hP and 5DAP(5 days after pollination), anther, shoot, root, 10-day-old embryo (10EM) and 10-day-old endosperm (10EN). Clustering analysis revealed that the anther has a gene-expression profile more similar to root than to pistil and most pistil-preferentially expressed genes respond to pollination and/or fertilization. There are 253 ESTs exhibiting differential expression (e +/- 2-fold changes) during pollination and fertilization, and about 70% of them can be assigned a putative function. We also recovered 20 genes similar to pollination-related and/or fertility-related genes previously identified as well as genes that were not implicated previously. Microarray and real-time PCR analyses showed that the array sensitivity was estimated at 1-5 copies of mRNA per cell, and the differentially expressed genes showed a high correlation between the two methods. Our results indicated that this cDNA microarray constructed here is reliable and can be used for monitoring gene expression profiles in rice. In addition, the genes that differentially expressed during pollination represent candidate genes for dissecting molecular mechanism of this important biological process in rice.     

The thymic stromal cell line MTSC4 induced thymocyte apoptosis in a non-MHC-restricted manner

Mouse thymic stromal cell line 4 (MTSC4) is one of the stromal cell lines established in our laboratory. While losing the characteristics of epithelial cells, they express some surface markers shared with thymic dendritic cells (TDCs). To further study the biological functions of these cells, we compared the capability of MTSC4 with TDCs in the induction of thymocyte apoptosis, using thymic reaggregation culture system. Apoptosis of thymocytes induced by MTSC4 and TDCs was measured by Annexin V and PI staining and analyzed by flow cytometry. We found that MTSC4 selectively augmented the apoptosis of CD4^ 8^ (DP) thymocytes. This effect was Fas/FasL independent and could not be blocked by antibodies to MHC class I and class II molecules. In addition, MTSC4 enhanced the apoptosis of DP thymocytes from different strains of mice, which implies that MTSC4-induced thymocyte apoptosis is not mediated by the TCR recognition of self peptide/MHC molecules. In contrast to MTSC4, thymocyte apoptosis induced by TDCs was MHC-restricted. Thus, MHC-independent fashion of stromal-DP thymocyte interaction may be one of the ways to induce thymocyte apoptosis in thymus. Our study has also shown that the interaction of MTSC4 stromal cells and thymocytes is required for the induction of thymocyte apoptosis.     

A general approach to antibody thermostabilization

Antibody engineering to enhance thermostability may enable further application and ease of use of antibodies across a number of different areas. A modified human IgG framework has been developed through a combination of engineering approaches, which can be used to stabilize antibodies of diverse specificity. This is achieved through a combination of complementarity-determining region (CDR)-grafting onto the stable framework, mammalian cell display and in vitro somatic hypermutation (SHM). This approach allows both stabilization and maturation to affinities beyond those of the original antibody, as shown by the stabilization of an anti-HA33 antibody by approximately 10°C and affinity maturation of approximately 300-fold over the original antibody. Specificities of 10 antibodies of diverse origin were successfully transferred to the stable framework through CDR-grafting, with 8 of these successfully stabilized, including the therapeutic antibodies adalimumab, stabilized by 9.9°C, denosumab, stabilized by 7°C, cetuximab stabilized by 6.9°C and to a lesser extent trastuzumab stabilized by 0.8°C. This data suggests that this approach may be broadly useful for improving the biophysical characteristics of antibodies across a number of applications.     

RSC3K of soybean cv. Kefeng No.1 confers resistance to soybean mosaic virus by interacting with the viral protein P3

Soybean mosaic virus (SMV) is one of the most devastating viral pathogens of soybean (Glycine max (L.) Merr). In total, 22 Chinese SMV strains (SC1–SC22) have been classified based on the responses of 10 soybean cultivars to these pathogens. However, although several SMV-resistance loci in soybean have been identified, no gene conferring SMV resistance in the resistant soybean cultivar (cv.) Kefeng No.1 has been cloned and verified. Here, using F₂-derived F₃ (F_2:3) and recombinant inbred line (RIL) populations from a cross between Kefeng No.1 and susceptible soybean cv. Nannong 1138-2, we localized the gene in Kefeng No.1 that mediated resistance to SMV-SC3 strain to a 90-kb interval on chromosome 2. To study the functions of candidate genes in this interval, we performed Bean pod mottle virus (BPMV)-induced gene silencing (VIGS). We identified a recombinant gene (which we named R_SC3K) harboring an internal deletion of a genomic DNA fragment partially flanking the LOC100526921 and LOC100812666 reference genes as the SMV-SC3 resistance gene. By shuffling genes between infectious SMV DNA clones based on the avirulent isolate SC3 and virulent isolate 1129, we determined that the viral protein P3 is the avirulence determinant mediating SMV-SC3 resistance on Kefeng No.1. P3 interacts with RNase proteins encoded by R_SC3K, LOC100526921, and LOC100812666. The recombinant R_SC3K conveys much higher anti-SMV activity than LOC100526921 and LOC100812666, although those two genes also encode proteins that inhibit SMV accumulation, as revealed by gene silencing in a susceptible cultivar and by overexpression in Nicotiana benthamiana. These findings demonstrate that R_SC3K mediates the resistance of Kefeng No.1 to SMV-SC3 and that SMV resistance of soybean is determined by the antiviral activity of RNase proteins.