Accurate and reproducible gene expression profiles from laser capture microdissection, transcript amplification, and high density oligonucleotide microarray analysis.

Gene expression profiling using high density oligonucleotide arrays is a powerful method to generate an unbiased survey of a cell's transcriptional landscape. Increasingly complex biological questions require that this approach be applicable to the small numbers of cells that are obtained from sources such as laser capture microdissection (LCM) of solid tissues. In this report, we demonstrate that two rounds of transcript amplification can generate accurate and reproducible gene expression profiles using high density oligonucleotide microarrays, starting with as little as 10 ng of total RNA. Biased amplification of the 3' end of transcripts does not have a major impact on the overall transcript profile due to the 3' bias of probe sets incorporated in the array design. Furthermore, greater than 95% of all genes detected demonstrate less than a twofold difference in expression when independent tissue dissections of identical cell populations are compared. The accuracy and technical reproducibility of the method suggests that expression profiling using transcript amplification and high density oligonucleotide microarrays can be used on a routine basis.

Distinctive proliferative phase differences in gene expression in human myometrium and leiomyomata.

OBJECTIVE: To gain a comprehensive view of the gene expression and regulation involved in uterine leiomyomata and matched normal myometrium using oligonucleotide microarray-based hybridization analysis. DESIGN: Retrospective analyses of tissue obtained in a prospective randomized clinical study. SETTING: Academic institution. PATIENT(S): Seven patients with leiomyomata scheduled for surgery during the proliferative phase. INTERVENTIONS(S): Seven paired samples of leiomyomata and adjacent myometrium were obtained from patients undergoing hysterectomy. MAIN OUTCOME MEASURE(S): The total RNA extracted from leiomyomata and myometrium was used for gene expression profiling of 6800 human genes using high-density oligonucleotide microarrays. In addition, reverse transcriptase-semiquantitative polymerase chain reaction and immunohistochemistry were used to validate tumor-specific gene expression. RESULT(S): A comparison of expression patterns in each paired sample revealed 68 genes significantly up- or down-regulated in each paired tissue sample, of which 23 genes showed increased expression and 45 showed decreased expression in leiomyomata compared with normal myometrium. Cluster analysis supported the relevance of these candidate genes for distinguishing between normal myometrium and leiomyomata biologic activity. CONCLUSION(S): Expression profiling of uterine leiomyomata using high-density oligonucleotide microarrays yields signature patterns that reflect the distinctive differences between normal human myometrium and leiomyomata during the proliferative phase. These observations suggest that a number of genes are involved in the tumorigenesis of leiomyomata.

Genomic dissection for characterization of cancerous oral epithelium tissues using transcription profiling.

Genome-wide and high-throughput functional genomic tools offer the potential of identifying disease-associated genes and dissecting disease regulatory patterns. There is a need for a set of systematic bioinformatic tools that handles efficiently a large number of variables for extracting biological meaning from experimental outputs. We present well-characterized statistical tools to discover genes that are differentially expressed between malignant oral epithelial and normal tissues in microarray experiments and to construct a robust classifier using the identified discriminatory genes. Those tools include Wilks' lambda score, error rate estimated from leave-one out cross-validation (LOOCV) and Fisher Discriminant Analysis (FDA). High Density DNA microarrays and Real Time Quantitative PCR were employed for the generation and validation of the transcription profile of the oral cancer and normal samples. We identified 45 genes that are strongly correlated with malignancy. Of the 45 genes identified, six have been previously implicated in the disease, and two are uncharacterized clones.

BRCA1 transcriptionally regulates genes involved in breast tumorigenesis.

Loss of function of BRCA1 caused by inherited mutation and tissue-specific somatic mutation leads to breast and ovarian cancer. Nearly all BRCA1 germ-line mutations involve truncation or loss of the C-terminal BRCT transcriptional activation domain, suggesting that transcriptional regulation is a critical function of the wild-type gene. The purpose of this project was to determine whether there is a link between the role of BRCA1 in transcriptional regulation and its role in tumor suppression. We developed a cell line (in which BRCA1 can be induced) and used microarray analysis to compare transcription profiles of epithelial cells with low endogenous levels of BRCA1 vs. transcription profiles of cells with 2-4-fold higher induced levels of expression of BRCA1. At these levels of expression, BRCA1 did not induce apoptosis. Undirected cluster analysis of six paired experiments revealed 373 genes, the expression of which was altered significantly and consistently by BRCA1 induction. Expression of 62 genes was altered more than 2-fold. BRCA1-regulated genes associated with breast tumorigenesis included the estrogen-responsive genes MYC and cyclin D1, which are overexpressed in many breast tumors; STAT1 and JAK1, key components of the cytokine signal transduction pathway; the extracellular matrix protein laminin 3A; ID4, an inhibitor of DNA-binding transcriptional activators, which in turn negatively regulates BRCA1 expression; and the prohormone stanniocalcin, expression of which is lost in breast tumor cells. Coordinated expression of BRCA1 with ID4 and with stanniocalcin was confirmed in primary breast and ovarian tumors.

Hepsin and maspin are inversely expressed in laser capture microdissectioned prostate cancer.

PURPOSE: Recent studies have shown that hepsin, a serine protease, is over expressed in prostate cancers, implicating hepsin activity in tumor invasion. Using microarray technology we have previously identified 22 genes that were up-regulated in high grade prostate cancers compared with benign prostatic hyperplasia. Of them hepsin was the most differentially over expressed. In the current report we compare hepsin to maspin (BD Transduction Laboratories, San Diego, California), a serine protease inhibitor (serpin), to measure the balance between levels of serine proteases and serpins, which are considered to be a critical determinant of net proteolytic activity. MATERIALS AND METHODS: We combined the technique of laser capture microdissection with gene expression monitoring by micro-array analysis to investigate the gene expression profiles of prostate cells of different histological types. We also studied maspin immunohistochemically. RESULTS: We observed that hepsin as well as 7 of 22 previously reported up-regulated genes demonstrated a pattern of increasing expression with increasing malignant phenotype. In contrast, the expression of maspin (a serpin) decreased with increasing malignancy of prostate cancers. Using immunohistochemistry we observed that maspin protein is expressed strongly in benign prostatic tissues and slightly in grade 3 prostate cancers, and is absent in grade 4/5 cancers. CONCLUSIONS: We conclude that the increased ratio of hepsin-to-maspin may have an important role in prostate cancer progression and invasion.

Genetic profiling of Gleason grade 4/5 prostate cancer: which is the best prostatic control tissue?

PURPOSE: We examined the variation in gene expression profiles of prostate cancer caused by zone specific genes. MATERIALS AND METHODS: Ten normal central zone, 10 transition zone (benign prostatic hyperplasia) and 6 normal peripheral zone tissues from radical retropubic prostatectomies were compared to each other and to 12 peripheral zone Gleason grade 4/5 cancers. Test chips and HuGeneFL6800 (Affymetrix, Inc., Santa Clara, California) chips were used to assay the transcribed genes. Data were obtained with the Microarray Suite Version 4.0.1 (Affymetrix, Inc.) and analyzed statistically. RESULTS: Substantially different gene expression profiles were found depending upon which of the 3 zonal tissues were used as a control. All 3 profiles were compared for efficiency (ability to locate genes) and for robustness (the magnitude of difference between the control and the Gleason grade 4/5 tissue). Microscopically normal appearing peripheral zone tissue at the gene level shows many characteristics of Gleason grade 4/5 cancer. CONCLUSIONS: Gene expression profiles of prostate cancer are affected by the zonal location of the control tissue and the cancer.