Xu Qi, Kowalski Jeanne
Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Department of Molecular Biosciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA.
Methods Mol Biol. 2025;2932:93-104. doi: 10.1007/978-1-0716-4566-6_4.
Alternative DNA structures, such as Z-DNA, G-quadruplexes, and mirror repeats, have shown potential involvement in cancer etiology. NBBC (Non-B DNA Burden in Cancer) is a web-based tool designed for quantifying and analyzing non-B DNA motifs within a cancer context. Herein, we provide a step-by-step protocol for employing NBBC, starting with data input and proceeding through the quantification and normalization of non-B DNA motifs that result in calculation of non-B burden. With detailed instructions for performing various motif-centric analyses based on cancer gene signatures, including DNA damage repair and response pathways for genomic stability, and other sample-level gene mutation signatures, users can explore non-B associative correlations within current cancer biology. We provide additional details on input queries into NBBC, interpret the quantitative results, and apply normalization techniques to ensure accurate comparisons across different genomic regions and non-B DNA structures.NBBC offers a powerful and user-friendly interface for the cancer research community. This chapter serves as an essential, enhanced instructional guide for researchers to leverage NBBC in their cancer biomarker investigations for an understanding of the potential role of non-B DNA in contributing to them.
诸如Z-DNA、G-四链体和镜像重复序列等非传统DNA结构已显示出在癌症病因学中具有潜在作用。NBBC(癌症中的非B型DNA负担)是一种基于网络的工具,旨在对癌症背景下的非B型DNA基序进行量化和分析。在此,我们提供了一份使用NBBC的详细步骤方案,从数据输入开始,经过非B型DNA基序的量化和标准化,最终计算非B型负担。通过基于癌症基因特征进行各种以基序为中心的分析的详细说明,包括基因组稳定性的DNA损伤修复和反应途径,以及其他样本水平的基因突变特征,用户可以探索当前癌症生物学中的非B型关联相关性。我们提供了有关向NBBC输入查询的更多详细信息,解释了定量结果,并应用标准化技术以确保跨不同基因组区域和非B型DNA结构进行准确比较。NBBC为癌症研究界提供了一个强大且用户友好的界面。本章为研究人员在癌症生物标志物研究中利用NBBC以了解非B型DNA在其中的潜在作用提供了一份重要的、强化的指导说明。