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               400                                                                                Metabolic Engineering


               VI. TOOLS FROM FUNCTIONAL GENOMICS                become available for gene expression analysis in differ-
                                                                 ent organisms, and today there are commercial available
               The active metabolic network functioning in a given cell  chips for E. coli, S. cerevisiae, plant cells, different ani-
               is determined by the enzymatic makeup of the cell. Fluxes  mal cells (only part of the genome currently covered), and
               are therefore indirectly also controlled at the level of tran-  human cells (also only with part of the genome currently
               scription and translation. In fact, there are several different  covered). These chips contain oligonucleotide sequences
               levels of control as illustrated in Fig. 5:       from sequenced genes and allow rapid identification of
                                                                 complementary sequences in the sample mRNA pool (see
                                                                 Fig. 10). DNA arrays produced by Affymetrix are gen-
               1. Transcriptional control
                                                                 erated by a photolitography process, which allows the
               2. Control of mRNA degradation
                                                                 synthesis of large numbers of oligonucleotides directly
               3. Translational control
                                                                 on a solid substrate (see www.affymetrix.com for further
               4. Protein activation/inactivation
                                                                 details). An alternative method for production of DNA ar-
               5. Allosteric control of enzymes
                                                                 rays is spotting of oligonucleotide or cDNA solutions by
                                                                 a robot to a solid substrate followed by immobilization
               Due to this hierarchical control, it is difficult to predict  of the oligonucleotide or DNA. This method allows for
               the overall consequences of a specific genetic modifica-  production of custom-made DNA arrays, and is therefore
               tion. Thus, a genetic change may result in altered en-  more flexible. Normally it is cDNA that is spotted on these
               zyme levels, and thereby the metabolite concentrations  custom-designed arrays, and the cDNA may have a length
               may change. This may influence regulatory proteins that  of several hundred nucleotides. This enables a very good
               may lead to a secondary effect, both at the transcriptional  hybridization, and it is therefore not necessary to have
               level and at the level of the enzymes. Generally, it is dif-  more than a single probe for each gene.
               ficult to predict all the consequences of a certain spe-  Besides DNA arrays for transcription profiling, other
               cific genetic change, and it may therefore be necessary  tools from functional genomics are valuable in the field
               to go through the cycle of metabolic engineering several  of metabolic engineering. Using two-dimensional elec-
               times. However, with novel analysis techniques developed  trophoresis, it is possible to identify the pool of proteins
               within the field of functional genomics, a very detailed  present in a given cell—often referred to as proteomics—
               characterization of the cell can be carried out, and this
               may enable a far better design of a metabolic engineering
               strategy.
                 A very powerful analytical technique that has emerged
               in recent years is DNA arrays or DNA chips, which en-
               ables measurement of the expression profile of all genes
               within a genome—often referred to as whole genome
               transcriptome analysis. Thus, with one measurement it
               is possible to monitor which genes are active at specific
               conditions, and especially it is possible to rapidly screen
               single deletion mutants. Combination of DNA arrays for
               genome wide expression monitoring and bioinformatics
               has demonstrated to be very powerful for pathway re-
               constitution, and in the future this approach is expected
               to speed up the assignment of function to orphan genes.
               However, it is also expected to play a very valuable role  FIGURE 10 Procedure for analysis of transcription profiles of
               in metabolic engineering.                         eucaryotes using a DNA chip from Affymetrix. The total RNA is
                                                                 extracted from the cell and the mRNA is purified. All eucaryotic
                 Since the introduction of the concept of DNA arrays in
                                                                 mRNA contains a polyA tail, and this can be used to synthesize
               the early nineties, the technology has developed rapidly.
                                                                 cDNA by reverse transcription. The cDNA is synthesized with a
               Although DNA arrays are still in their infancy, they have  T7 promoter, which enables later synthesis of biotin-labeled
               already been applied to many different applications. In  cRNA. The biotin-labeled cRNA is fragmented and introduced
               April 1996 the American company Affymetrix launched  into the chip. The cRNA fragments then hybridize to the oligonu-
               the first commercial DNA array product, a chip designed  cleotides in the chip, and the concentration of the cRNA frag-
                                                                 ments can be analyzed by a fluorescence scanner as illustrated
               to look for mutations in the HIV genome. Chips for muta-
                                                                 in the chip readout. For each gene there are 15–20 different
               tion analysis in the p53, p450, and BRCA1 genes soon  oligonucleotides (or probes) of a length of 20–25 nucleotides
               followed. Besides mutation analysis chips, chips have  each.
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