论文标题
揭示生物分子构型及其相互作用的不同方法
Different approaches to unveil biomolecule configurations and their mutual interactions
论文作者
论文摘要
一种新的技术证明了通过用超短紫外线激光脉冲(L-Crosslinking)辐射来克服对交联细胞的重要缺点。要使用该技术在高吞吐量的情况下与染色质免疫沉淀(芯片)耦合,需要实现一种预筛选快速方法,以建立细胞样品的合适的辐照条件,以有效地进行L-CROSS链接,而没有最终和长芯片分析。这里有一种快速的方法报道,首先用编码雌激素受体α(ERα)的载体转染活的人细胞,与绿色荧光蛋白(ERα-GFP)相关,因此可以通过研究细胞DNA和ERα蛋白的雌激素受体元件(ERE)区域之间众所周知的相互作用,可以通过研究纤维响应的细胞来检测。紫外线照射引起的细胞损伤的特征是查看DNA完整性,蛋白质稳定性和细胞活力。提出了第二种新颖的方法来分析或重新访问DNA和RNA序列及其分子构型。这种方法基于源自Chern-Simons超级重力的方法,该方法适用于描述DNA/RNA字符串中的突变以及核酸之间的相互作用。作为初步情况,我们分析了KRAS人类基因序列及其某些突变。有趣的是,我们的模型显示了Chern-Simons电流如何能够表征序列内的突变,特别是给出了突变可能性的定量指示。
A novel technique was demonstrated that overcome important drawbacks to crosslink cells by irradiation with ultrashort UV laser pulses (L-crosslinking). To use this technique coupled to Chromatin ImmunoPrecipitation (ChIP) in a high throughput context, a pre-screening fast method needs to be implemented to set up suitable irradiation conditions of the cell sample for efficient L-crosslinking with no final and long ChIP analysis. Here a fast method is reported where living human cells have been first transfected with a vector coding for Estrogen Receptor α (ERα), linked to Green Florescent protein (ERα-GFP), so that the well-known interaction between the Estrogen Receptor Elements (ERE) region of the cell DNA and the ERα protein can be detected by studying the fluorometric response of the irradiated cells. The damage induced to cells by UV irradiation is characterized by looking at DNA integrity, proteins stability and cellular viability. A second novel approach is presented to analyze or re-visit DNA and RNA sequences and their molecular configurations. This approach is based on methods derived from Chern-Simons super-gravity adapted to describe mutations in DNA/RNA strings, as well as interactions between nucleic acids. As a preliminary case we analyze the KRAS human gene sequence and some of its mutations. Interestingly, our model shows how the Chern-Simons current are capable to characterize the mutations within a sequence, in particular giving a quantitative indication of the mutation likelihood.