Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
Physiology and Molecular Biology of Stress ... - KHAM PHA MOI
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Freezing <strong>Stress</strong><br />
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(Barnett et al., 1980; Key et al., 1981). Unlike the heat shock response, CA material<br />
continues to accumulate ‘housekeeping’ proteins (Marmiroli et al., 1986; Yacoob <strong>and</strong><br />
Filion, 1986, 1996a; Guy <strong>and</strong> Haskell, 1987; Gilmour et al., 1988; Guy et al., 1988; Perras<br />
<strong>and</strong> Sarhan, 1989), as CA is a process that requires energy <strong>and</strong> continued metabolism<br />
(Guy <strong>and</strong> Haskell, 1987).<br />
With the discovery <strong>of</strong> new molecular techniques <strong>and</strong> the improvement <strong>of</strong><br />
existing techniques, changes in gene expression were commonly quantified via the<br />
detection <strong>of</strong> mRNA levels. Recent evidence has shown that transcript expression data<br />
does not always correlate with protein accumulation patterns (Whitelegge, 2002). In<br />
order to accurately identify <strong>and</strong> quantify changes with in a cell or organism it is now<br />
believed that one must surpass the transcript <strong>and</strong> look directly at the protein level. The<br />
systematic analysis <strong>of</strong> proteins present within the plant at any given period is referred<br />
to as proteomics (van Wijk, 2001). Proteomics is currently the leading technology for<br />
the high throughput analysis <strong>of</strong> protein accumulation patterns. Applications <strong>of</strong><br />
proteomic analysis include the identification <strong>of</strong> proteins that accumulate within a cell or<br />
organism, the analysis <strong>of</strong> post translational modification <strong>of</strong> proteins <strong>and</strong> the interaction<br />
<strong>of</strong> proteins within a living system (protein-protein interactions)(Whitelegge, 2002). The<br />
mass identification <strong>of</strong> proteins, commonly referred to as the ‘Brute Force’ method most<br />
commonly occurs via two dimensional electrophoresis (2DE), which uses immobilized<br />
pH gradient strips to separate proteins in the first dimension (based on pI) <strong>and</strong> SDS-<br />
PAGE in the second dimension to separate proteins based on molecular weight (MW)<br />
(Blackstock <strong>and</strong> Mann, 2000). Following separation, gels are typically analyzed with<br />
the assistance <strong>of</strong> computer programs for changes in accumulation patterns, <strong>and</strong> differentially<br />
accumulated proteins are robotically isolated from the gel. Isolated proteins are<br />
then digested (typically via trypsin) into peptide fragments <strong>and</strong> the masses are determined<br />
by LC MS/MS (Blackstock <strong>and</strong> Mann, 2000). Once masses data are obtained,<br />
they are compared to databases <strong>and</strong> subsequently identified. This method <strong>of</strong> protein<br />
identification has only recently become efficient, as a result <strong>of</strong> the large quantities <strong>of</strong><br />
sequence data generated by early generation genomics programs (Rowley et al., 2000).<br />
As with all highly technical analysis, 2D-PAGE does possess limitations that involved<br />
problems with dynamic resolution (Blackstock <strong>and</strong> Mann, 2000), quantification <strong>and</strong><br />
identification <strong>of</strong> low abundance <strong>and</strong> hydrophobic proteins (van Wijk, 2001). To reduce<br />
the problems associated with 2DE, a new technique that involves differentially labeling<br />
protein samples with fluorescent dyes has been developed (Amersham Biosciences).<br />
This technique, referred to as DIGE, uses the same principles as 2D-PAGE except multiple<br />
protein samples (labeled with different florescent dyes) are analyzed within one<br />
gel. By analyzing all samples within the same gel, gel to gel variation is eliminated<br />
resulting in increased quantification <strong>and</strong> dynamic range accuracy (Swatton et al., 2004).<br />
A different high throughput method for protein isolation <strong>and</strong> quantification<br />
requires the utilization <strong>of</strong> multidimensional separation methods, that are different but<br />
complimentary to those used in 2D-PAGE (pI <strong>and</strong> MW). This method is referred to as<br />
multi-dimensional protein identification technology (MudPIT) <strong>and</strong> it generates pep-