by Alan H. Katz
AL
Automated Molecular Biology
Lower costs and increased speeds have led researchers sequencing genes and genomes to generate an enormous amount of data that can provide a better understanding of diseases. This abundance of data suggests a need for additional, repetitive studies to determine the importance of small variations in a large number of components, and this is where the benefits of automating basic molecular biology techniques using relatively inexpensive robots integrated with familiar research tools become clear.
Background Molecular biology research is guided by the
concept of the central dogma. Information stored in DNA is transcribed into messenger RNA, which is translated into specific proteins through a simple code consisting of three nucleotides for each amino acid. The gene expression process has two steps: the transcrip- tion of DNA into mRNA and the translation of mRNA into protein (see Figure 1). The proce- dures described here ultimately involve some aspect of this central dogma.
Molecular biology research is aimed at answer- ing two basic questions:
1. Which genes are being expressed in various types of cells under normal circumstances, and what is the role of the corresponding proteins?
2. What has gone wrong in a specific disease? Are genes under- or over-expressing? Are mutated proteins ineffective or over- effective?
Once these questions can be properly under- stood, it is possible to pursue mechanism-based approaches to medical intervention.
a b
Figure 1 – a) When a gene is expressed, its portion of the chromosome is exposed and copied into a strand of messenger RNA (mRNA) (b) which is then translated into proteins at the ribosome.
Figure 2 – Basic molecular biology workflow. AMERICAN LABORATORY 40 MAY 2016
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