从序列到结构的生物信息学管道:一个接受伊马替尼治疗的Cml患者的案例研究

A. Chacko, Shankarrao Patil, A. Upadhayay, A. Nagrajan, R. Khatri, D. Arya, S. Krishna, Ramanathan Sowdhamini, C. Ross
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引用次数: 0

摘要

慢性髓性白血病(CML)是9:22易位事件导致BCR-ABL组成激酶活性的结果。伊马替尼是CML的一线治疗药物。我们报告一个纵向病例研究的CML患者接受伊马替尼治疗。该CML患者的骨髓抽液用于外显子组测序。单核苷酸变异(snv)独特的外显子组测序样本数据集进行分析,重点是激酶。这些突变被映射到结构上,以进一步了解snv在其稳定性和激酶-药物相互作用方面的意义。本文给出了一个数据过滤管道,并给出了从序列到结构方法的示例。该策略可用于从与癌症相关的下一代测序数据中筛选激酶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A bioinformatics pipeline for sequence to structure: A case study with a Cml patient undergoing treatment with imatinib
Chronic Myeloid Leukaemia (CML) is a resultant of the 9:22 translocation event leading to the constitutive kinase activity of BCR-ABL. Imatinib is the drug used as the first line therapy in CML. We report a longitudinal case study for a CML patient under treatment with imatinib. The bone marrow aspirate of this CML patient was used for exome sequencing. Single nucleotide variants (SNVs) unique to the exome sequencing sample datasets were analysed with an emphasis on kinases. These mutations were mapped to the structure to further understand the significance of the SNVs in the context of its stability and kinase-drug interaction. Here we present a data filtering pipeline with examples for sequence to structure approach. This strategy can be used to filter kinases from next generation sequencing data relevant to cancers.
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