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Precision oncology using a limited number of cells: optimization of whole genome amplification products for sequencing applications

机译:使用有限数量的细胞进行精密肿瘤学:优化全基因组扩增产品以用于测序应用

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Background Sequencing analysis of circulating tumor cells (CTCs) enables “liquid biopsy” to guide precision oncology strategies. However, this requires low-template whole genome amplification (WGA) that is prone to errors and biases from uneven amplifications. Currently, quality control (QC) methods for WGA products, as well as the number of CTCs needed for reliable downstream sequencing, remain poorly defined. We sought to define strategies for selecting and generating optimal WGA products from low-template input as it relates to their potential applications in precision oncology strategies. Methods Single pancreatic cancer cells (HPAF-II) were isolated using laser microdissection. WGA was performed using multiple displacement amplification (MDA), multiple annealing and looping based amplification (MALBAC) and PicoPLEX. Quality of amplified DNA products were assessed using a multiplex/RT-qPCR based method that evaluates for 8-cancer related genes and QC-scores were assigned. We utilized this scoring system to assess the impact of de novo modifications to the WGA protocol. WGA products were subjected to Sanger sequencing, array comparative genomic hybridization (aCGH) and next generation sequencing (NGS) to evaluate their performances in respective downstream analyses providing validation of the QC-score. Results Single-cell WGA products exhibited a significant sample-to-sample variability in amplified DNA quality as assessed by our 8-gene QC assay. Single-cell WGA products that passed the pre-analysis QC had lower amplification bias and improved aCGH/NGS performance metrics when compared to single-cell WGA products that failed the QC. Increasing the number of cellular input resulted in improved QC-scores overall, but a resultant WGA product that consistently passed the QC step required a starting cellular input of at least 20-cells. Our modified-WGA protocol effectively reduced this number, achieving reproducible high-quality WGA products from ≥5-cells as a starting template. A starting cellular input of 5 to 10-cells amplified using the modified-WGA achieved aCGH and NGS results that closely matched that of unamplified, batch genomic DNA. Conclusion The modified-WGA protocol coupled with the 8-gene QC serve as an effective strategy to enhance the quality of low-template WGA reactions. Furthermore, a threshold number of 5–10 cells are likely needed for a reliable WGA reaction and product with high fidelity to the original starting template.
机译:背景循环肿瘤细胞(CTC)的测序分析使“液体活检”能够指导精确的肿瘤学策略。但是,这需要低模板的全基因组扩增(WGA),这容易导致扩增不均和错误。当前,对WGA产品的质量控制(QC)方法以及可靠的下游测序所需的CTC数量仍然知之甚少。我们寻求定义从低模板输入中选择和生成最佳WGA产品的策略,因为它与精密肿瘤学策略中的潜在应用有关。方法采用激光显微切割技术分离单个胰腺癌细胞(HPAF-II)。 WGA使用多重置换扩增(MDA),多重退火和基于环的扩增(MALBAC)和PicoPLEX进行。使用基于多重/ RT-qPCR的方法评估扩增的DNA产物的质量,该方法评估与8种癌症相关的基因,并指定QC得分。我们利用该评分系统评估了WGA协议从头修改的影响。对WGA产品进行了Sanger测序,阵列比较基因组杂交(aCGH)和下一代测序(NGS),以评估其在相应下游分析中的性能,从而验证了QC评分。结果单细胞WGA产品通过我们的8基因QC分析评估,在扩增的DNA质量中样品之间存在显着差异。与未通过QC的单细胞WGA产品相比,通过了预分析QC的单细胞WGA产品具有较低的扩增偏差和改进的aCGH / NGS性能指标。蜂窝输入数量的增加总体上改善了QC分数,但是始终如一地通过QC步骤的所得WGA产品需要至少20个单元的初始蜂窝输入。我们改良后的WGA协议有效地减少了此数量,从≥5个电池作为起始模板获得了可重现的高质量WGA产品。使用修饰的WGA扩增的5至10个细胞的起始细胞输入获得了aCGH和NGS结果,其结果与未扩增的批量基因组DNA极为匹配。结论改良的WGA协议与8基因QC结合可作为提高低模板WGA反应质量的有效策略。此外,可靠的WGA反应和对原始起始模板具有高保真度的产物可能需要5-10个细胞的阈值数量。

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