Effects of fixation on RNA extraction and amplification from laser capture microdissected tissue

Critical role of laser microdissection for genetic, epigenetic and proteomic analyses in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease, and molecular studies to unravel novel biomarkers and therapeutic targets are warranted. However, PDAC is characterized by different precursor lesions, as well as by an intense desmoplastic reaction, with islet of neoplastic cells often representing a minor population. Moreover, normal ductal cells, which are considered to be the normal counterpart of pancreatic adenocarcinoma cells, comprise approximately 5% of the total population of cells making up this organ. For all these reasons, molecular techniques to identify critical mutations, as well as the pattern of altered mRNA/microRNA/protein expression should be performed on selected pancreatic cell subpopulations. Therefore, the use of the newest laser microdissection techniques is critical for the analysis of PDAC biological characteristics. This article highlights the most recent and clinically relevant aspects of genetic, epigenetic and proteomic analyses of PDAC from the perspective of the application of laser microdissection.

Analysis of odontoblast gene expression using a novel approach, laser capture microdissection

Studying the mechanisms of molecular interactions in developing tissues demands sensitive molecular biological in vivo and in vitro techniques. Laser capture microdissection (LCM) allows for the isolation of mRNA in histological sections even from single cells, thus enabling the identification of in vivo gene expression products in closely circumscribed tissue areas. The aims of this study were to assess the optimal fixation, processing, and staining conditions to retrieve RNA from microdissected odontoblasts. Fluorometric assays and RT-PCR analysis of alpha 1(I) collagen, dentin sialophosphoprotein (Dspp), and osteocalcin (OC) confirmed that the total RNA isolated from day 0 and day 3 captured odontoblasts was sufficient in quantity and quality. Our results indicate that individual odontoblasts obtained by LCM are morphologically intact and chemically unaltered, allowing accurate molecular and biochemical analyses.

Microarray technology and gene expression analysis for the study of angiogenesis

Angiogenesis plays a major role in multiple disease processes including cancer, and new agents that modulate angiogenesis are rapidly entering clinical trials. The understanding of the biological mechanisms and downstream effects for many of these agents is poorly understood. It is therefore important that methods evolve to understand how an agent regulates angiogenesis, in order to promote a higher percentage of successful drug candidates. With the emergence of microarray technology for the evaluation of gene expression, researchers have a powerful tool for dissecting the biological mechanisms of angiogenesis. However, huge data sets and complex statistics pose a hurdle for the investigator to obtain useful and meaningful data. To eliminate problems in data analysis, proper design and planning prior to performing a microarray experiment is crucial to making valid conclusions. This review will discuss the critical factors in designing, performing and analysing microarray experiments, and the utility of various models of angiogenesis for microarray analysis.

New developments in the analysis of gene expression

An understanding of the relationship between gene expression, protein expression and the influences of genetic responses upon gene function is vital before we can understand the complexity of genomes. Traditional methods for the study of gene expression are limited to studying small groups of genes at a time and a source of pure starting material has been difficult to obtain. Recent technological advances have enabled large numbers of genes, from specific cell populations, to be studied in a single experiment. Laser capture microdissection (LCM) and microarray technology are providing the next revolution in the study of gene expression. LCM-based molecular analysis of histopathological lesions can be applied to any disease process that is accessible through tissue sampling. Examples include: (i) mapping the field of genetic changes associated with oxidative stress; (ii) analysis of gene expression patterns in atherosclerotic tissues, sites of inflammation and Alzheimer's disease plaques; (iii) infectious micro-organism diagnosis; and (iv) typing of cells within disease foci. Microarray hybridisation glass chips spotted with sets of genes can then be used to obtain a molecular fingerprint of gene expression in the microdissected cells. The variation of expressed genes or alterations in the cellular DNA that correlate with a particular disease state can be compared within or between individual samples. The identification of gene expression patterns may provide vital information for the understanding of the disease process and may contribute to diagnostic decisions and therapies tailored to the individual patient. Molecules found to be associated with defined pathological lesions may provide clues about new therapeutic targets in the future.