慢病毒介导的c-Myc启动子结合蛋白1过表达对结肠癌HCT116细胞增殖与凋亡的影响及其机制研究

目的探讨慢病毒介导的c-Myc启动子结合蛋白1(MBP-1)过表达对结肠癌HCT116细胞增殖和凋亡的影响及其机制。方法将体外培养的HCT116细胞分为以下3组:空白对照组,细胞未做任何处理;空载感染组,空载体对照慢病毒(LV-GFP)感染HCT116细胞;MBP-1过表达慢病毒组(MBP-1组),MBP-1过表达的重组慢病毒(LV-MBP-1-GFP)感染HCT116细胞。RT-PCR检测各组细胞中MBP-1 mRNA的表达,CCK-8实验检测细胞的增殖能力,流式细胞仪检测细胞的周期变化,Western blot检测细胞中MBP-1、NF-κB p65、c-Myc、CyclinD1及细胞凋亡相关蛋白Bcl-2、Bax、cleaved caspase-3的表达。三组间比较采用单因素方差分析,方差齐性采用F检验,若方差齐则组间比较采用LSD检验,若方差不齐则组间比较采用Dunnett检验。结果与空载感染组比较,MBP-1组在MBP-1 mRNA(1.02±0.15比4.56±1.03)、蛋白表达水平(0.18±0.01比0.72±0.10)、S期百分比[(39.12±2.18)﹪比(45.64±3.21)﹪]、G2/M期的百分比[(14.81±1.02)﹪比(23.16±2.12)﹪]、细胞中Bax蛋白(0.55±0.10比0.76±0.11)、cleaved caspase-3蛋白(0.45±0.08比0.81±0.11)表达水平均升高,差异具有统计学意义(P均<0.001),而细胞48 h OD值(0.58±0.08比0.43±0.03)、72 h OD值(1.10±0.13比0.52±0.09)、细胞G0/G1期的百分比[(46.06±1.89)﹪比(31.36±2.02)﹪]、细胞中Bcl-2蛋白(0.52±0.10比0.23±0.02)、NF-κB p65蛋白(0.61±0.13比0.16±0.03)、c-Myc蛋白(0.79±0.15比0.43±0.05)、CyclinD1蛋白(0.62±0.09比0.32±0.01)的表达水平均降低,差异具有统计学意义(P均<0.001);空白对照组和空载感染组之间各指标差异无统计学意义(P>0.05)。结论MBP-1过表达可抑制HCT116细胞增殖及诱导细胞周期阻滞于S期,其作用机制可能与抑制NF-κB信号通路活化有关。     

基于焦磷酸测序技术建立基因编辑水稻检测方法

基因编辑技术发展迅速,但对应的检测方法较少。为寻找创建基因编辑作物适用的检测方法,以 PL3 基因编辑水稻编辑位点为靶标,有效设计了焦磷酸测序的扩增引物及测序引物,并进行有效性检测,分别利用Sequence to Analyze等程序以及SNP和AQ两种模式完成了对PL3 基因的定性和定量检测试验,建立了 PL3 基因编辑水稻编辑位点焦磷酸测序检测方法。结果表明,基于焦磷酸测序技术可以通过检测编辑位点从而将基因编辑型水稻与野生型水稻进行区分。与常规的转基因检测方法相比,该检测方法具有较好的准确性、高效性及高灵敏度等优点,在基因编辑型水稻编辑位点定性和定量检测分析方面具有很好的应用前景。     

Dexamethasone does not ameliorate gliosis in a mouse model of neurodegenerative disease

Prolonged neuroinflammation is a driving force for neurodegenerative disease, and agents against inflammatory responses are regarded as potential treatment strategies. Here we aimed to evaluate the prevention effects on gliosis by dexamethasone (DEX), an anti-inflammation drug. We used DEX to treat the nicastrin conditional knockout (cKO) mouse, a neurodegenerative mouse model. DEX (10 mg/kg) was given to 2.5-month-old nicastrin cKO mice, which have not started to display neurodegeneration and gliosis, for 2 months. Immunohistochemistry (IHC) and Western blotting techniques were used to detect changes in neuroinflammatory responses. We found that activation of glial fibrillary acidic protein (GFAP) positive or ionized calcium binding adapter molecule1 (Iba1) positive cells was not inhibited in nicastrin cKO mice treated with DEX as compared to those treated with saline. These data suggest that DEX does not prevent or ameliorate gliosis in a neurodegenerative mouse model when given prior to neuronal or synaptic loss.     

Straightforward method for calibration of mechanistic cation exchange chromatography models for industrial applications

Mechanistic modeling of chromatography processes is one of the most promising techniques for the digitalization of biopharmaceutical process development. Possible applications of chromatography models range from in silico process optimization in early phase development to in silico root cause investigation during manufacturing. Nonetheless, the cumbersome and complex model calibration still decelerates the implementation of mechanistic modeling in industry. Therefore, the industry demands model calibration strategies that ensure adequate model certainty in a limited amount of time. This study introduces a directed and straightforward approach for the calibration of pH-dependent, multicomponent steric mass action (SMA) isotherm models for industrial applications. In the case investigated, the method was applied to a monoclonal antibody (mAb) polishing step including four protein species. The developed strategy combined well-established theories of preparative chromatography (e.g. Yamamoto method) and allowed a systematic reduction of unknown model parameters to 7 from initially 32. Model uncertainty was reduced by designing two representative calibration experiments for the inverse estimation of remaining model parameters. Dedicated experiments with aggregate-enriched load material led to a significant reduction of model uncertainty for the estimates of this low-concentrated product-related impurity. The model was validated beyond the operating ranges of the final unit operation, enabling its application to late-stage downstream process development. With the proposed model calibration strategy, a systematic experimental design is provided, calibration effort is strongly reduced, and local minima are avoided.     

Integration of high-throughput analytics and cell imaging enables direct early productivity and product quality assessment during Chinese Hamster ovary cell line development for a complex multi-subunit vaccine antigen

Mammalian cell line generation typically includes stable pool generation, single cell cloning and several rounds of clone selection based on cell growth, productivity and product quality criteria. Individual clone expansion and phenotype-based ranking is performed initially for hundreds or thousands of mini-scale cultures, representing the major operational challenge during cell line development. Automated cell culture and analytics systems have been developed to enable high complexity clone selection workflows; while ensuring traceability, safety, and quality of cell lines intended for biopharmaceutical applications. Here we show that comprehensive and quantitative assessment of cell growth, productivity, and product quality attributes are feasible at the 200–1,200 cell colony stage, within 14 days of the single cell cloning in static 96-well plate culture. The early cell line characterization performed prior to the clone expansion in suspension culture can be used for a single-step, direct selection of high quality clones. Such clones were comparable, both in terms of productivity and critical quality attributes (CQAs), to the top-ranked clones identified using an established iterative clone screening approach. Using a complex, multi-subunit antigen as a model protein, we observed stable CQA profiles independently of the cell culture format during the clonal expansion as well as in the batch and fed-batch processes. In conclusion, we propose an accelerated clone selection approach that can be readily incorporated into various cell line development workstreams, leading to significant reduction of the project timelines and resource requirements.     

Physiological and metabolomic responses of bermudagrass (Cynodon dactylon) to alkali stress

Bermudagrass (Cynodon dactylon) is a widely used warm‐season turfgrass species with superior stress tolerance except for cold. In this study, a comparative analysis of the responses to alkali stress in bermudagrass at the physiological and metabolomic levels were performed. Mild alkali with relatively low pH slightly inhibited growth of bermudagrass as evidenced by lower electrolyte leakage, more rapid growth and higher survival rate when compared to moderate and severe alkali treatments. Moreover, the amount of 37 metabolites including amino acids, organic acids, sugars and sugar alcohols were modulated by the alkali treatments. Among them, 15 metabolites were involved in carbon and amino acid metabolic pathways. Under mild alkali stress, bermudagrass possibly slowed down metabolisms to maintain basic growth. However, moderate and severe alkali‐stressed plants accumulated significantly higher amount of carbohydrates which might result in carbon starvation. Taken together, alkali stress had severely inhibitory effect partially due to combined ionic stress and high pH stress. These results suggested that bermudagrass employed different strategies in response to alkali stresses with different pH and ionic values.     

Proteomic Analysis of High Temperature Stress-Responsive Proteins in Chrysanthemum Leaves

Chrysanthemum is one of the most important ornamental flowers in the world, and temperature has a significant influence on its field production. In the present study, differentially expressed proteins were investigated in the leaves of Dendranthema grandiflorum ‘Jinba’ under high temperature stress using label-free quantitative proteomics techniques. The expressed proteins were comparatively identified and analyzed. A total of 1,463 heat-related, differentially expressed proteins were successfully identified by Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS), and 1,463 heat-related, differentially expressed proteins were successfully identified by mass spectrometry after a high temperature treatment. Among these, 701 proteins were upregulated and 762 proteins were downregulated. The in-depth bioinformatics analysis of these differentially expressed proteins revealed that these were involved in energy metabolism pathways, protein metabolism, and heat shock. In the present study, the investigators determined the changes in the levels of some proteins, and their expression at the protein and molecular levels in chrysanthemum to help reveal the mechanism of heat resistance in chrysanthemum. Furthermore, the present study elucidated some of the proteins correlated to heat resistance in chrysanthemum, and their expression changes at the protein and molecular levels to help reveal the mechanism of heat resistance in this flower species. These results provide a theoretical basis for the selection of new heat resistant varieties of chrysanthemum in the field.     

Physiological and molecular advances in magnesium nutrition of plants

Plant and Soil - Phytoremediation of soil contaminated by trace elements is a technology using plants and microorganisms to sequester, inactivate, or extract contaminants from the soil. The...