QCM detection of DNA targets with single-base mutation based on DNA ligase reaction and biocatalyzed deposition amplification

A novel biosensing technique for highly specific identification of gene with single-base mutation is proposed based on the implementation of the DNA ligase reaction and the biocatalyzed deposition of an insoluble product. The target gene mediated deposition of an insoluble precipitate is then transduced by quartz crystal microbalance (QCM) measurements. In this method, the DNA target hybridizes with a capture DNA probe tethered onto the gold electrode and then with a biotinylated allele-specific detection DNA. A ligase reaction is performed to generate the ligation between the capture and the detection probes, provided there is perfect match between the DNA target and the detection probe. Otherwise even when there is an allele mismatch between them, no ligation would take place. After thermal treatment at an elevated temperature, the formed duplex melts apart that merely allows the detection probe perfectly matched with the target to remain on the electrode surface. The presence of the biotinylated allele-matched probe is then detected by the QCM via the binding to streptavidin-peroxide horseradish (SA-HRP), which catalyzes the oxidative precipitation of 3,3-diaminobenzidine (DAB) by H2O2 on the electrode and provides an amplified frequency response. The proposed approach has been successfully implemented for the identification of single-base mutation in -28 site of the beta-thalassemia gene with a detection limit of 0.1 nM, demonstrating that this method provides a highly specific and cost-efficient approach for point mutation detection.     

Impact of nonrandom selection mechanisms on the causal effect estimation for two-sample Mendelian randomization methods

Nonrandom selection in one-sample Mendelian Randomization (MR) results in biased estimates and inflated type I error rates only when the selection effects are sufficiently large. In two-sample MR, the different selection mechanisms in two samples may more seriously affect the causal effect estimation. Firstly, we propose sufficient conditions for causal effect invariance under different selection mechanisms using two-sample MR methods. In the simulation study, we consider 49 possible selection mechanisms in two-sample MR, which depend on genetic variants (G), exposures (X), outcomes (Y) and their combination. We further compare eight pleiotropy-robust methods under different selection mechanisms. Results of simulation reveal that nonrandom selection in sample II has a larger influence on biases and type I error rates than those in sample I. Furthermore, selections depending on X+Y, G+Y, or G+X+Y in sample II lead to larger biases than other selection mechanisms. Notably, when selection depends on Y, bias of causal estimation for non-zero causal effect is larger than that for null causal effect. Especially, the mode based estimate has the largest standard errors among the eight methods. In the absence of pleiotropy, selections depending on Y or G in sample II show nearly unbiased causal effect estimations when the casual effect is null. In the scenarios of balanced pleiotropy, all eight MR methods, especially MR-Egger, demonstrate large biases because the nonrandom selections result in the violation of the Instrument Strength Independent of Direct Effect (InSIDE) assumption. When directional pleiotropy exists, nonrandom selections have a severe impact on the eight MR methods. Application demonstrates that the nonrandom selection in sample II (coronary heart disease patients) can magnify the causal effect estimation of obesity on HbA1c levels. In conclusion, nonrandom selection in two-sample MR exacerbates the bias of causal effect estimation for pleiotropy-robust MR methods.     

Auto-adaptive Alpha Allocation: A Strategy to Mitigate Risk on Study Assumptions

In some clinical development programs, there are potential biomarkers with promising but uncertain predictive effect, while the probability of success in the overall population cannot be readily dismissed. It is risky to focus only on the overall population, or just the biomarker subpopulation. In 2009, Chen and Beckman proposed a Bayesian decision framework to optimize the type I error rate (alpha) allocation in a Phase III clinical study with possible predictive subset effect. The utilization of internal data in this framework is of particular interest because it provides an opportunity to mitigate the potential risk of misspecified study assumptions using an auto-adaptive strategy. In this paper, we examine this auto-adaptive strategy in detail through extensive numerical case studies and provide guidance on the appropriate use of partial current trial (internal) data in this data-driven optimization framework. We show that internal data can be used to inform the alpha allocation to hypothesis testing in the overall population and the subgroup. The resulting adaptive testing strategy is robust with respect to the uncertainty in the predictive subgroup effect and biomarker prevalence.     

乌头类双酯型生物碱水解产物-苯甲酸的含量测定研究

目的:建立RP-HPLC测定乌头类双酯型生物碱水解产物苯甲酸含量的方法.方法:色谱柱:Waters C18(150×4.6 mm),流动相:甲醇-0.02 mol/L乙酸铵溶液(5∶95),检测波长:230 nm,流速:1.0 ml/min,柱温:30℃.结果:苯甲酸在0.432～3.888μg(r=0.9999)之间呈线性关系,苯甲酸加样回收率为98.62%(RSD=1.89%).结论:该方法简便、稳定、准确,可做为乌头类双酯型生物碱水解产物苯甲酸含量测定的方法.     

The absence of invariant chain in MHC II cancer vaccines enhances the activation of tumor-reactive type 1 CD4<Superscript>+</Superscript> T lymphocytes

Activation of tumor-reactive T lymphocytes is a promising approach for the prevention and treatment of patients with metastatic cancers. Strategies that activate CD8⁺ T cells are particularly promising because of the cytotoxicity and specificity of CD8⁺ T cells for tumor cells. Optimal CD8⁺ T cell activity requires the co-activation of CD4⁺ T cells, which are critical for immune memory and protection against latent metastatic disease. Therefore, we are developing “MHC II” vaccines that activate tumor-reactive CD4⁺ T cells. MHC II vaccines are MHC class I⁺ tumor cells that are transduced with costimulatory molecules and MHC II alleles syngeneic to the prospective recipient. Because the vaccine cells do not express the MHC II-associated invariant chain (Ii), we hypothesized that they will present endogenously synthesized tumor peptides that are not presented by professional Ii⁺ antigen presenting cells (APC) and will therefore overcome tolerance to activate CD4⁺ T cells. We now report that MHC II vaccines prepared from human MCF10 mammary carcinoma cells are more efficient than Ii⁺ APC for priming and boosting Type 1 CD4⁺ T cells. MHC II vaccines consistently induce greater expansion of CD4⁺ T cells which secrete more IFNγ and they activate an overlapping, but distinct repertoire of CD4⁺ T cells as measured by T cell receptor Vβ usage, compared to Ii⁺ APC. Therefore, the absence of Ii facilitates a robust CD4⁺ T cell response that includes the presentation of peptides that are presented by traditional APC, as well as peptides that are uniquely presented by the Ii⁻ vaccine cells.     

Transgenic Rice Plants Produced by PEG-Mediated Plasmid Uptake into Protoplasts

Embryogenic cell suspension cultures were obtained from calli developed from mature rice seeds of a Japonica type Itahan cultivar, Roncarolo. Protoplasts were isolated and transformed by PEG-treated method with plasmid pHP23 carrying the NPT Ⅱ gene which encodes resistance to antibiotic G-418. Protoplast-derived colonies were selected in presence of the inhibitor. Plants were regenerated and transplanted into soil in the green house. The presence of foreign gene in the regenerated plants was verified by PCR and Southern analysis.     

Establishment of an Efficient Screening System in Gene Transformation of High Oleic Acid Peanut Using AhFAD2B as a Reporter Gene

Russian Journal of Plant Physiology - During gene transformation, selection makers are important for efficient screening of the transgenic lines. The commonly used selection marker genes in plants...     

Regulation of alternative splicing of Bcl-x by IL-6, GM-CSF and TPA

The splicing of many alternative exons in the precursor messenger RNA (pre-mRNA) is regulated by extracellular factors but the underlying molecular bases remain unclear. Here we report the differential regulation of Bcl-x pre-mRNA splicing by extracellular factors and their distinct requirements for pre-mRNA elements. In K562 leukemia cells, treatment with interleukin-6 (IL-6) or granulocyte-macrophage colony stimulating factor (GM-CSF) reduced the proportion of the Bcl-xL variant mRNA while treatment with 12-O-tetradecanoylphorbol 13-acetate (TPA) had no effect. In U251 glioma cells, however, TPA efficiently increased the Bcl-xL level. These regulations were also seen for a transfected splicing reporter mini-gene. Further analyses of deletion mutants indicate that nucleotides 1-176 of the downstream intron are required for the IL-6 effect, whereas additional nucleotides 177-284 are essential for the GM-CSF effect. As for the TPA effect, only nucleotides 1-76 are required in the downstream intron. Thus, IL-6, GM-CSF and TPA differentially regulate Bcl-x splicing and require specific intronic pre-mRNA sequences for their respective effects.