Studying Gene Expression:
Knowing
the transcriptional activity of a gene can give valuable insight to the
function of the protein it encodes and to the role it plays in an organism.
Gene activity in the same individual can vary from tissue to tissue, between
different developmental stages, or even from morning to night time. Gene
activity is influenced by the activity of other genes and the proteins they
encode. Gene expression can change in
response to outside factors, such as the environment or exposure of the
organism to chemical substances, competitors, or pathogens.
The
classical approach to measuring the activity of a gene has been to isolate
messenger RNA (mRNA), design nucleic acid molecules complementary to the gene
of interest, and use those to estimate the amount of mRNA of the gene of
interest present at a given time in the organism. Traditionally, this has been
done for one gene at a time.
Using
extremely small capillaries to apply short pieces of DNA, each uniquely
representing one gene. Up to 25,000 genes can be represented on a single
conventional 1.5 cm x 5 cm slide. Using these microscopic arrays of DNA spots,
researchers can assess the relative amount of mRNA in a sample of all 25,000
represented genes (called the target spots) in the same time that it used to
take to analyse the activity of a single gene.
Such
technological advances have revolutionized the way molecular bioscience is done
and have sped up the rate of new discoveries. However, they have also led to
the rapid acquisition of huge amounts of data that require the use of
biostatistics for analysis and validation of the collected data. In practice,
gene activity is assessed, by labelling mRNA that was extracted from an
organism, with fluorescent dyes. The labelled mRNA, known as the “probe” is
applied to the glass slide and allowed to bind to its complementary spot on the
array. This process is called hybridization. Subsequently, the unbound mRNA is
washed off the slide. The slide is scanned and the amount of fluorescently labelled
mRNA bound to each spot is proportional to the activity of the gene it
represents.
In most cases,
software analysis is then used to determine how much of a signal is due to
biologically relevant processes and how much is due to technical “noise”.
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