Wu Lucia R, Wang Juexiao Sherry, Fang John Z, Evans Emily R, Pinto Alessandro, Pekker Irena, Boykin Richard, Ngouenet Celine, Webster Philippa J, Beechem Joseph, Zhang David Yu
Department of Bioengineering, Rice University, Houston, Texas, USA.
Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas, USA.
Nat Methods. 2015 Dec;12(12):1191-6. doi: 10.1038/nmeth.3626. Epub 2015 Oct 19.
In silico-designed nucleic acid probes and primers often do not achieve favorable specificity and sensitivity tradeoffs on the first try, and iterative empirical sequence-based optimization is needed, particularly in multiplexed assays. We present a novel, on-the-fly method of tuning probe affinity and selectivity by adjusting the stoichiometry of auxiliary species, which allows for independent and decoupled adjustment of the hybridization yield for different probes in multiplexed assays. Using this method, we achieved near-continuous tuning of probe effective free energy. To demonstrate our approach, we enforced uniform capture efficiency of 31 DNA molecules (GC content, 0-100%), maximized the signal difference for 11 pairs of single-nucleotide variants and performed tunable hybrid capture of mRNA from total RNA. Using the Nanostring nCounter platform, we applied stoichiometric tuning to simultaneously adjust yields for a 24-plex assay, and we show multiplexed quantitation of RNA sequences and variants from formalin-fixed, paraffin-embedded samples.
计算机设计的核酸探针和引物通常在首次尝试时无法实现良好的特异性和灵敏度平衡,需要基于经验的迭代序列优化,特别是在多重分析中。我们提出了一种新颖的实时方法,通过调整辅助物种的化学计量来调节探针的亲和力和选择性,这使得在多重分析中能够独立且解耦地调整不同探针的杂交产量。使用这种方法,我们实现了对探针有效自由能的近乎连续调节。为了证明我们的方法,我们实现了31个DNA分子(GC含量为0 - 100%)的均匀捕获效率,最大化了11对单核苷酸变体的信号差异,并从总RNA中进行了可调节的mRNA杂交捕获。使用Nanostring nCounter平台,我们应用化学计量调节来同时调整24重分析的产量,并展示了对福尔马林固定、石蜡包埋样本中RNA序列和变体的多重定量。