Global expression profiling of RNA isolated from laser microdissected
cells allows one to profile a specific set of cells allowing for
enhanced sensitivity and for cell- or site-specific patterns of
expression to emerge. In Chapter 19, we detail our optimized methods of
tissue preparation, laser microdissection (LMD), and RNA isolation of
cells at the site of Golovinomyces orontii infection of mature Arabidopsis
leaves. Here, we describe (1) amplification of the RNA to obtain
sufficient starting material for microarray analysis, (2) microarray
hybridization and associated quality control assessments. As tissue
preparation, LMD, and/or RNA amplification could impact mRNA quality,
distribution, and/or microarray processing and output, it is important
to include quality control assessments at every step of the protocol to
ensure that the final data is a reproducible and accurate readout of the
biological source material. The collection of parallel samples to
evaluate these components of the experimental protocol allows one to
determine their impact on mRNA quality and distribution (described in
Chapter 19) and on microarray output (discussed here). In addition, one
likely wants to compare similarly processed whole leaf samples to
LMD-isolated samples in order to identify genes and processes
specifically impacted or more highly impacted at the infection site
compared with the whole leaf. Using the procedures described herein to
profile cells specifically at the site of powdery mildew infection of Arabidopsis
(Chandran et al., Proc Natl Acad Sci U S A 107(1):460–465, 2010), we
determined that our site-specific global expression data was a highly
reproducible, sensitive, and accurate readout of the infection site.
Furthermore, this site-specific analysis allowed us to identify novel
processes (e.g., endore?duplication), regulators (e.g., MYB3R4), and
process components associated with the sustained growth and reproduction
of the powdery mildew G. orontii on Arabidopsis thaliana at 5 days postinfection that were hidden in whole leaf analyses
(Chandran et al., Proc Natl Acad Sci U S A 107(1):460–465, 2010).