适体
分类
选择(遗传算法)
单元格排序
DNA
计算生物学
粒子(生态学)
分类
纳米技术
计算机科学
生物系统
化学
生物
材料科学
细胞
分子生物学
人工智能
算法
情报检索
生物化学
生态学
作者
Jinpeng Wang,Qiang Gong,Nupur Maheshwari,Michael Eisenstein,Mary Luz Arcila,Kenneth S. Kosik,H. Tom Soh
标识
DOI:10.1002/anie.201309334
摘要
We report an aptamer discovery technology that reproducibly yields higher affinity aptamers in fewer rounds compared to conventional selection. Our method (termed particle display) transforms libraries of solution-phase aptamers into "aptamer particles", each displaying many copies of a single sequence on its surface. We then use fluorescence-activated cell sorting (FACS) to individually measure the relative affinities of >10(8) aptamer particles and sort them in a high-throughput manner. Through mathematical analysis, we identified experimental parameters that enable optimal screening, and demonstrate enrichment performance that exceeds the theoretical maximum achievable with conventional selection by many orders of magnitude. We used particle display to obtain high-affinity DNA aptamers for four different protein targets in three rounds, including proteins for which previous DNA aptamer selection efforts have been unsuccessful. We believe particle display offers an extraordinarily efficient mechanism for generating high-quality aptamers in a rapid and economic manner, towards accelerated exploration of the human proteome.
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