Efficient Selection of Biomineralizing DNA Aptamers Using Deep Sequencing and Population Clustering

• Published in: ACS nano Vol. 8; no. 1; pp. 387 - 395
• Main Authors: Bawazer, Lukmaan A, Newman, Aaron M, Gu, Qian, Ibish, Abdullah, Arcila, Mary, Cooper, James B, Meldrum, Fiona C, Morse, Daniel E
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 28.01.2014
• Subjects: Aptamers, Nucleotide - chemistry; Base Sequence; Cluster Analysis; Combinatorial analysis; Deoxyribonucleic acid; Enrichment; Gene sequencing; High-Throughput Nucleotide Sequencing; Microscopy, Electron, Transmission; Nanostructure; Screening; Semiconductors; Synthesis; Zinc oxide; DNA aptamers; next-generation sequencing; population clustering; AutoSOME; biomimetic mineralization; massively parallel sequencing; zinc oxide; SELEX

DNA-based information systems drive the combinatorial optimization processes of natural evolution, including the evolution of biominerals. Advances in high-throughput DNA sequencing expand the power of DNA as a potential information platform for combinatorial engineering, but many applications remai...