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Fig. 13.3
MicroRNA expression profiling methodologies
. Microarray analysis is shown as an
example of hybridization-based miRNA expression profiling (
left panel
). TaqMan-based RT-qPCR
is presented as an example of amplification-based miRNA expression analysis (
middle panel
).
Next-generation sequencing (also known as deep sequencing) is a newly developed technology for
sequencing-based analysis of miRNA expression (
right panel
)
for microarray-based miRNA detection. Although higher specificity can be obtained
by incorporation of chemical modifications, such as locked nucleic acid (LNA), into
the probes [
103
], it is generally recommended to validate microarray-based findings
by an alternative methodology. Early studies generally used rather laborious
Northern blotting [
104-
106
], but today RT-qPCR is typically used (see below). ISH
on tissue sections using labeled miRNA-specific probes (usually LNA probes) has
also been used for validation, although this technology may be more suited for
localization studies than differential expression analysis [
107
] . A main advantage of
ISH is that it can be used in combination with tissue microarrays (TMAs), thus
allowing the parallel analysis of a particular miRNA in clinical tumor specimens
from hundreds of patients on a single TMA.
Compared to microarrays and other hybridization-based methods, RT-qPCR has
increased dynamic range and can be used for profiling of very limited amounts of
RNA often available from clinical samples [
108-
110
] . The short length of mature
miRNAs and sequence similarities between related miRNAs, and with pre- and pri-
miRNAs, are also challenges for RT-qPCR assay. Reverse transcription is performed
either directly by the use of miRNA-specific primers, including linear and stem-
loop primers (Fig.
13.3
, middle panel), or by universal priming after enzymatic
addition of a polyA tail to template miRNAs (not shown) [
111
] . When using univer-
sal priming for RT, some studies suggest that it may be necessary to incorporate
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