三峡水库消落区不同生活史类型植物群落的空间分布格局

为探究三峡水库消落区不同生活史植物群落随海拔梯度及水库干流沿程的空间分布规律,于2017年8月至2017年9月对三峡水库干流消落区植被进行了调查。研究结果表明:(1)三峡水库消落区植被的植物物种丰富度随距大坝里程距离的缩短而呈现逐渐减小的趋势。(2)三峡水库消落区不同生活史类型植被群落盖度对水淹梯度胁迫的响应呈现相反的变化规律:随着消落区高程的升高,一年生植物对消落区植被覆盖度的贡献逐渐增加,而多年生植物对植被群落覆盖度的贡献逐渐降低。但是,在消落区的任一高程区域,多年生植物物种盖度均要大于一年生植物物种盖度。(3)采用TWINSPAN植被分类方法可对9个样地607个样方的三峡水库消落区植被划分为25个组,其中苍耳+狗牙根群落Ass.Xanthiumsibiricum+Cynodon dactylon(含213个样方)、狗牙根群落Ass.Cynodon dactylon(包含137个样方)、狗牙根+香附子群落Ass.Cynodon dactylon+Cyperus rotundus(含55个样方)、狗牙根+酸模叶蓼群落Ass.Cynodon dactylon+Polygonum lapathifolium(40个样方)、苍耳+藿香蓟群落Ass.Xanthiumsibiricum+Ageratum conyzoides(38个样方)等为消落区的优势植物群落,群落特征明显表现出对水位涨落及小生境差异的适应。     

基于实地监测的城市林木调控PM2.5能力研究

随着城市的不断扩张,PM_(2.5)污染凸显,引起广泛关注。研究表明,城市林木为城市环境提供了重要的生态保障,在调控、缓解、降低城市PM_(2.5)污染危害等方面发挥极其重要的作用,通过筛选树种、优化配置结构、提高林木质量等方面进行城市林木前瞻性布局。然而,结合前期研究基础如何进一步深入研究并研究突破城市林木调控PM_(2.5)污染机制与机理,实现调控PM_(2.5)效应的最大化、最优化,依然是一个亟待解决的难题,这迫切需要在多尺度、多维度进行调控PM_(2.5)效应研究,并在不同尺度、不同维度进一步进行结合、延伸。对基于实地监测的城市林木调控PM_(2.5)能力研究现状相关文献进行归纳总结,并从林木单位叶面积与形态特征、配置结构特征、气象条件以及其他因素等方面归纳城市林木调控PM_(2.5)机制,同时从城市林木调控PM_(2.5)效应的时间变化特征、水平距离和垂直变化特征、内外变化特征等方面总结城市林木调控PM_(2.5)时空特征。最终提出研究城市林木调控PM_(2.5)效应目前存在的主要问题以及未来研究展望。     

Structural basis for RNA recognition by the N-terminal tandem RRM domains of human RBM45

RBM45 is an RNA-binding protein involved in neural development, whose aggregation is associated with neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and frontotemporal lobar dementia (FTLD). However, the mechanisms of RNA-binding and aggregation of RBM45 remain unelucidated. Here, we report the crystal structure of the N-terminal tandem RRM domains of human RBM45 in complex with single-stranded DNA (ssDNA). Our structural and biochemical results revealed that both the RRM1 and RRM2 of RBM45 recognized the GAC sequence of RNA/ssDNA. Two aromatic residues and an arginine residue in each RRM were critical for RNA-binding, and the interdomain linker was also involved in RNA-binding. Two RRMs formed a pair of antiparallel RNA-binding sites, indicating that the N-terminal tandem RRM domains of RBM45 bound separate GAC motifs in one RNA strand or GAC motifs in different RNA strands. Our findings will be helpful in the identification of physiologic targets of RBM45 and provide evidence for understanding the physiologic and pathologic functions of RBM45.     

“互联网+”教育在生物化学课程中应用的分析与思考

在"互联网+"教育的大力推广之下,微课、慕课、翻转课堂、手机课堂等多种教学模式应运而生。通过在生物化学课程中运用"互联网+"教学模式:教师课前准备并向学生发布相关学习资源、学生预习情况和预习效果的评价、学生成绩量化标准,取得了初步的成效。本文从我国"互联网+生物化学"教育现状、"互联网+"教育在生物化学课程中的应用以及生物化学课程与"互联网+"教育结合的未来发展等三个方面进行了阐述。     

Adaptive T cell immunotherapy in cancer

Impaired tumor-specific effector T cells contribute to tumor progression and unfavorable clinical outcomes. As a compensatory T cell-dependent cancer immunoediting strategy, adoptive T cell therapy(ACT) has achieved encouraging therapeutic results,and this strategy is now on the center stage of cancer treatment and research. ACT involves the ex vivo stimulation and expansion of tumor-infiltrating lymphocytes(TILs) with inherent tumor reactivity or T cells that have been genetically modified to express the cognate chimeric antigen receptor or T cell receptor(CAR/TCR), followed by the passive transfer of these cells into a lymphodepleted host. Primed T cells must provide highly efficient and long-lasting immune defense against transformed cells during ACT. Anin-depth understanding of the basic mechanisms of these living drugs can help us improve upon current strategies and design better next-generation T cell-based immunotherapies. From this perspective, we provide an overview of current developments in different ACT strategies, with a focus on frontier clinical trials that offer a proof of principle. Meanwhile, insights into the determinants of ACT are discussed, which will lead to more rational, potent and widespread applications in the future.     

PLCγ1 inhibition-driven autophagy of IL-1β-treated chondrocyte confers cartilage protection against osteoarthritis,involving AMPK,Erk and Akt

Previous studies identified the involvement of phosphoinositide-specific phospholipase C (PLC) γ1 in some events of chondrocytes. This study aims to investigate whether and how PLCγ1 modulates autophagy to execute its role in osteoarthritis (OA) progression. Rat normal or human OA chondrocytes were pretreated with IL-1β for mimicking or sustaining OA pathological condition. Using Western blotting, immunoprecipitation, qPCR, immunofluorescence and Dimethylmethylene blue assays, and ELISA and transmission electron microscope techniques, we found that PLCγ1 inhibitor U73122 enhanced Collagen II, Aggrecan and GAG levels, accompanied with increased LC3B-II/I ratio and decreased P62 expression level, whereas autophagy inhibitor Chloroquine partially diminished its effect. Meanwhile, U73122 dissociated Beclin1 from Beclin1-IP3R-Bcl-2 complex and blocked mTOR/ULK1 axis, in which the crosstalk between PLCγ1, AMPK, Erk and Akt were involved. Additionally, by haematoxylin and eosin, Safranin O/Fast green, and immunohistochemistry staining, we observed that intra-articular injection of Ad-shPLCγ1-1/2 significantly enhanced Collagen and Aggrecan levels, accompanied with increased LC3B and decreased P62 levels in a rat OA model induced by anterior cruciate ligament transection and medial meniscus resection. Consequently, PLCγ1 inhibition-driven autophagy conferred cartilage protection against OA through promoting ECM synthesis in OA chondrocytes in vivo and in vitro, involving the crosstalk between PLCγ1, AMPK, Erk and Akt.     

Hopeahainol A attenuates memory deficits by targeting β‐amyloid in APP/PS1 transgenic mice

Increasing evidence demonstrates that amyloid beta (Aβ) elicits mitochondrial dysfunction and oxidative stress, which contributes to the pathogenesis of Alzheimer's disease (AD). Identification of the molecules targeting Aβ is thus of particular significance in the treatment of AD. Hopeahainol A (HopA), a polyphenol with a novel skeleton obtained from Hopea hainanensis, is potentially acetylcholinesterase‐inhibitory and anti‐oxidative in H₂O₂‐treated PC12 cells. In this study, we reported that HopA might bind to Aβ_1–42 directly and inhibit the Aβ_1–42 aggregation using a combination of molecular dynamics simulation, binding assay, transmission electron microscopic analysis and staining technique. We also demonstrated that HopA decreased the interaction between Aβ_1–42 and Aβ‐binding alcohol dehydrogenase, which in turn reduced mitochondrial dysfunction and oxidative stress in vivo and in vitro. In addition, HopA was able to rescue the long‐term potentiation induction by protecting synaptic function and attenuate memory deficits in APP/PS1 mice. Our data suggest that HopA might be a promising drug for therapeutic intervention in AD.     

To Control False Positives in Gene-Gene Interaction Analysis: Two Novel Conditional Entropy-Based Approaches

Genome-wide analysis of gene-gene interactions has been recognized as a powerful avenue to identify the missing genetic components that can not be detected by using current single-point association analysis. Recently, several model-free methods (e.g. the commonly used information based metrics and several logistic regression-based metrics) were developed for detecting non-linear dependence between genetic loci, but they are potentially at the risk of inflated false positive error, in particular when the main effects at one or both loci are salient. In this study, we proposed two conditional entropy-based metrics to challenge this limitation. Extensive simulations demonstrated that the two proposed metrics, provided the disease is rare, could maintain consistently correct false positive rate. In the scenarios for a common disease, our proposed metrics achieved better or comparable control of false positive error, compared to four previously proposed model-free metrics. In terms of power, our methods outperformed several competing metrics in a range of common disease models. Furthermore, in real data analyses, both metrics succeeded in detecting interactions and were competitive with the originally reported results or the logistic regression approaches. In conclusion, the proposed conditional entropy-based metrics are promising as alternatives to current model-based approaches for detecting genuine epistatic effects.