DNA as a programmable material : de novo gene synthesis and error correction

Deoxyribonucleic acid (DNA), the polymeric molecule that carries the genetic code of all living organisms, is arguably one of the most programmable assembly materials available to chemists, biologists, and materials scientists. Scientists have used DNA to build many different structures for various applications in disparate areas of research from traditional biological applications to more recent non-biological applications. Although DNA isn't typically thought of as an assembly material by people not doing research in the area, the availability of decreasing cost synthetic oligonucleotides has led to advances in gene fabrication technology which in turn has enabled synthetic biology to flourish. Using DNA as a building material for small and large constructs of DNA is reliant on having effective gene synthesis techniques. Construction of synthetic DNA is limited by errors that pervade the final product. To address this problem, effective error correction methods are pivotal. Having extremely robust gene synthesis and error correction techniques will allow researchers to generate very large scale constructs potentially necessary in applications such as genome re-engineering.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Materials Science and Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2008

Author dc:creator

• Hwang, Samuel James

Advisor dc:contributor.advisor

• Joseph Jacobson.

• Materials Science and Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/44423

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/44423