江苏盐城盐场中度嗜盐菌的分离与鉴定

采用高盐的牛肉膏蛋白胨培养基(盐浓度为8%NaCl),研究江苏省盐城市盐场土壤里中度嗜盐菌的分布情况及种群特征。从盐城市的射阳、新滩、灌东三处盐场土壤中共采集和分离得到13株中度嗜盐菌。通过形态观察、生理生化分析、16S rRNA序列分析和系统进化分析等方法进行初步鉴定,结果表明:分离到的中度嗜盐菌分属3个属,Virgibacillus属4株、Halomonas属7株和Marinobacter属2株。研究结果揭示盐城市的盐场存在较为丰富的中度嗜盐菌,具有较高的研究和利用价值。     

半连续及连续培养小球藻减排沼液及CO2

采用半连续或连续模式培养小球藻,考察小球藻减排沼液和CO2的能力。结果表明:在半连续培养模式中,当更新率为30%时,沼液中的N、P质量浓度可分别稳定在16～18和0.4～0.6 mg/L,达到污水二级排放标准;提高更新率到40%以上,3 d后微藻生物量及其对沼液中N、P的吸收达到动态平衡,但N、P去除率未达到污水直接排放标准;在连续培养模式中,分别选用20%及30%的日更新率,7 L规模12 d后沼液中的总氮(TN)仍高达55.64 mg/L。说明大规模培养条件下的光限制是微藻法减排沼液的主要制约因素。     

Cloning,purification and characterization of novel Cu-containing nitrite reductase from the <Emphasis Type="Italic">Bacillus firmus</Emphasis> GY-49

Nitrite is generated from the nitrogen cycle and its accumulation is harmful to environment and it can be reduced to nitric oxid by nitrite reductase. A novel gene from Bacillus firmus GY-49 is identified as a nirK gene encoding Cu-containing nitrite reductase by genome sequence. The full-length protein included a putative signal peptide of 26 amino acids and shown 72.73% similarity with other Cu-containing nitrite reductase whose function was verified. The 993-bp fragment encoding the mature peptide of NirK was cloned into pET-28a (+) vector and overexpressed as an active protein of 36.41 kDa in the E.coli system. The purified enzyme was green in the oxidized state and displayed double gentle peaks at 456 and 608 nm. The specific activity of purified enzyme was 98.4 U/mg toward sodium nitrite around pH 6.5 and 35 °C. The K _m and K _cat of NirK on sodium nitrite were 0.27 mM and 0.36?×?10³ s^?1, respectively. Finally, homology model analysis of NirK indicated that the enzyme was a homotrimer structure and well conserved in Cu-binding sites for enzymatic functions. This is a first report for nitrite reductase from Bacillus firmus, which augment the acquaintance of nitrite reductase.     

Binding pocket-based design,synthesis and biological evaluation of novel selective BRD4-BD1 inhibitors

Bromodomain-containing protein 4 (BRD4), consisting of two tandem bromodomains (BD1 and BD2), is key epigenetic regulator in fibrosis and cancer, which has been reported that BD1 and BD2 have distinct roles in post-translational modification. But there are few selective inhibitors toward those two domains. Herein, this study designed and synthesized a series of novel selective BRD4-BD1 inhibitors, using computer-aided drug design (CADD) approach focused on exploring the difference of the binding pockets of BD1 and BD2, and finding the His437 a crucial way to achieve BRD4-BD1 selectivity. Our results revealed that the compound 3u is a potent selective BRD4-BD1 inhibitor with IC₅₀ values of 0.56?μM for BD1 but >100?μM for BD2. The compound exhibited a broad spectrum of anti-proliferative activity against several human cancer and fibroblastic cell lines, which might be related to its capability of reducing the expression of c-Myc and collagen I. Furthermore, it could induce apoptosis in A375 cells. To the contrary, the selective BD2 inhibitor, RVX-208, did not indicate any of these activities. Our findings highlight that the function of BRD4-BD1 might be predominant in fibrosis and cancer. And it is rational to further develop novel selective BRD4-BD1 inhibitors.     

Spatial correlated incidence modeling with zero inflation

Disease mapping models have been popularly used to model disease incidence with spatial correlation. In disease mapping models, zero inflation is an important issue, which often occurs in disease incidence datasets with high proportions of zero disease count. It is originated from limited survey coverage or unadvanced testing equipment, which makes some regions have no observed patients. Then excessive zeros recorded in the disease incidence dataset would mess up the true distributions of disease incidence and lead to inaccurate estimates. To address this issue, a zero-inflated disease mapping model is developed in this work. In this model, a zero-inflated process using Bernoulli indicators is assumed to characterize whether the zero inflation occurs for each region. For regions without zero inflation, a coherent and generative disease mapping model is applied for mapping the spatially correlated disease incidence. Independent spatial random effects are incorporated in both processes to account for the spatial patterns of zero inflation and disease incidence. External covariates are also considered in both processes to better explain the disease count data. To estimate the model, a Markov chain Monte Carlo algorithm is proposed. We evaluate model performance via a variety of simulation experiments. Finally, a Lyme disease dataset of Virginia is analyzed to illustrate the application of the proposed model.     

Recent progress in the discovery of inhibitors targeting coronavirus proteases

Coronaviruses (CoVs) can cause highly prevalent diseases in humans and animals. The fatal outbreak of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) highlights the threat posed by this unique virus subfamily. However, no specific drugs have been approved to treat CoV-associated diseases to date. The CoV proteases, which play pivotal roles in viral gene expression and replication through a highly complex cascade involving the proteolytic processing of replicase polyproteins, are attractive targets for drug design. This review summarizes the recent advances in biological and structural studies, together with the development of inhibitors targeting CoV proteases, particularly main proteases (M^pros), which could help develop effective treatments to prevent CoV infection.

Open image in new window

     

Protective Role of Apocynin via Suppression of Neuronal Autophagy and TLR4/NF-κB Signaling Pathway in a Rat Model of Traumatic Brain Injury

Neurochemical Research - Neuronal autophagy and inflammatory responses are important in the pathogenesis of traumatic brain injury (TBI), and toll-like receptor 4 (TLR4) may play an important role...