Laser capture microdissection-generated target sample for high-density oligonucleotide array hybridization

DNA Hybridization Arrays for Gene Expression Analysis of Human Oral Cancer

DNA hybridization arrays permit global gene expression profiling to be done in a single experiment. The evolution and challenges of DNA hybridization arrays are reflected in the variety of experimental platforms, probe composition, hybridization/signal detection methods, and bioinformatic interpretation. In tumor biology, DNA hybridization arrays are being used for gene/gene pathway discovery, diagnosis, and therapeutic design. Similar applications are advancing our understanding of oral cancer cell biology.

RNA Profiling of Cell-free Saliva Using Microarray Technology

Saliva, like other bodily fluids, has been used to monitor human health and disease. This study tests the hypothesis that informative human mRNA exists in cell-free saliva. If present, salivary mRNA may provide potential biomarkers to identify populations and patients at high risk for oral and systemic diseases. Unstimulated saliva was collected from ten normal subjects. RNA was isolated from the cell-free saliva supernatant and linearly amplified. High-density oligonucleotide microarrays were used to profile salivary mRNA. The results demonstrated that there are thousands of human mRNAs in cell-free saliva. Quantitative PCR (Q-PCR) analysis confirmed the present of mRNA identified by our microarray study. A reference database was generated based on the mRNA profiles in normal saliva. Our finding proposes a novel clinical approach to salivary diagnostics, Salivary Transcriptome Diagnostics (STD), for potential applications in disease diagnostics as well as normal health surveillance.

DNA Microarrays in Otolaryngology-Head and Neck Surgery

OBJECTIVES: Our goal was to review the technologies underlying DNA microarrays and to explore their use in otolaryngology-head and neck surgery.

STUDY DESIGN: The current literature relating to microarray technology and methodology is reviewed, specifically the use of DNA microarrays to characterize gene expression. Bioinformatics involves computational and statistical methods to extract, organize, and analyze the huge amounts of data produced by microarray experiments. The means by which these techniques are being applied to otolaryngology-head and neck surgery are outlined.

RESULTS: Microarray technologies are having a substantial impact on biomedical research, including many areas relevant to otolaryngology-head and neck surgery.

CONCLUSIONS: DNA microarrays allow for the simultaneous investigationof thousands of individual genes in a single experiment. In the coming years, the application of these technologies to clinical medicine should allow for unprecedented methods ofdiagnosis and treatment.

SIGNIFICANCE: These highly parallel experimental techniques promise to revolutionize gene discovery, disease characterization, and drug development.

Global Gene Expression Profiling: A Complement to Conventional Histopathologic Analysis of Neoplasia

Transcriptional profiling of entire tumors has yielded considerable insight into the molecular mechanisms of heterogeneous cell populations within different types of neoplasms. The data thus acquired can be further refined by microdissection methods that enable the analyses of subpopulations of neoplastic cells. Separation of the various components of a neoplasm (i.e., stromal cells, inflammatory infiltrates, and blood vessels) has been problematic, primarily because of a paucity of tools for accurate microdissection. The advent of laser capture microdissection combined with powerful tools of linear amplification of RNA and high-throughput microarray-based assays have allowed the transcriptional mapping of intricate and highly complex networks within pure populations of neoplastic cells. With this approach, specific “molecular signatures” can be assigned to tumors of distinct or even similar histomorphology, thereby aiding the desired objective of pattern recognition, tumor classification, and prognostication. This review highlights the potential benefits of global gene expression profiling of tumor cells as a complement to conventional histopathologic analyses.

(Post-)genomics approaches in fungal research

To date, hundreds of fungal genomes have been sequenced and many more are in progress. This wealth of genomic information has provided new directions to study fungal biodiversity. However, to further dissect and understand the complicated biological mechanisms involved in fungal life styles, functional studies beyond genomes are required. Thanks to the developments of current -omics techniques, it is possible to produce large amounts of fungal functional data in a high-throughput fashion (e.g. transcriptome, proteome, etc.). The increasing ease of creating -omics data has also created a major challenge for downstream data handling and analysis. Numerous databases, tools and software have been created to meet this challenge. Facing such a richness of techniques and information, hereby we provide a brief roadmap on current wet-lab and bioinformatics approaches to study functional genomics in fungi.

Optimised laser microdissection of the human ocular surface epithelial regions for microarray studies

Background

The most important challenge of performing insitu transcriptional profiling of the human ocular surface epithelial regions is obtaining samples in sufficient amounts, without contamination from adjacent tissue, as the region of interest is microscopic and closely apposed to other tissues regions. We have effectively collected ocular surface (OS) epithelial tissue samples from the Limbal Epithelial Crypt (LEC), limbus, cornea and conjunctiva of post-mortem cadaver eyes with laser microdissection (LMD) technique for gene expression studies with spotted oligonucleotide microarrays and Gene 1.0 ST arrays.

Methods

Human donor eyes (4 pairs for spotted oligonucleotide microarrays, 3 pairs for Gene 1.0 ST arrays) consented for research were included in this study with due ethical approval of the Nottingham Research Ethics Committee. Eye retrieval was performed within 36 hours of post-mortem period. The dissected corneoscleral buttons were immersed in OCT media and frozen in liquid nitrogen and stored at −80°C till further use. Microscopic tissue sections of interest were taken on PALM slides and stained with Toluidine Blue for laser microdissection with PALM microbeam systems. Optimisation of the laser microdissection technique was crucial for efficient and cost effective sample collection.

Results

The starting concentration of RNA as stipulated by the protocol of microarray platforms was taken as the cut-off concentration of RNA samples in our studies. The area of LMD tissue processed for spotted oligonucleotide microarray study ranged from 86,253 μm² in LEC to 392,887 μm² in LEC stroma. The RNA concentration of the LMD samples ranged from 22 to 92 pg/μl. The recommended starting concentration of the RNA samples used for Gene 1.0 ST arrays was 6 ng/5 μl. To achieve the desired RNA concentration the area of ocular surface epithelial tissue sample processed for the Gene 1.0 ST array experiments was approximately 100,0000 μm² to 130,0000 μm². RNA concentration of these samples ranged from 10.88 ng/12 μl to 25.8 ng/12 μl, with the RNA integrity numbers (RIN) for these samples from 3.3 to 7.9. RNA samples with RIN values below 2, that had failed to amplify satisfactorily were discarded.

Conclusions

The optimised protocol for sample collection and laser microdissection improved the RNA yield of the insitu ocular surface epithelial regions for effective microarray studies on spotted oligonucleotide and affymetrix platforms.

Optimal molecular profiling of tissue and tissue components: defining the best processing and microdissection methods for biomedical applications

Isolation of well-preserved pure cell populations is a prerequisite for sound studies of the molecular basis of any tissue-based biological phenomenon. This updated chapter reviews current methods for obtaining anatomically specific signals from molecules isolated from tissues, a basic requirement for productive linking of phenotype and genotype. The quality of samples isolated from tissue and used for molecular analysis is often glossed over or omitted from publications, making interpretation and replication of data difficult or impossible. Fortunately, recently developed techniques allow life scientists to better document and control the quality of samples used for a given assay, creating a foundation for improvement in this area. Tissue processing for molecular studies usually involves some or all of the following steps: tissue collection, gross dissection/identification, fixation, processing/embedding, storage/archiving, sectioning, staining, microdissection/annotation, and pure analyte labeling/identification and quantification. We provide a detailed comparison of some current tissue microdissection technologies and provide detailed example protocols for tissue component handling upstream and downstream from microdissection. We also discuss some of the physical and chemical issues related to optimal tissue processing and include methods specific to cytology specimens. We encourage each laboratory to use these as a starting point for optimization of their overall process of moving from collected tissue to high-quality, appropriately anatomically tagged scientific results. Improvement in this area will significantly increase life science quality and productivity. The chapter is divided into introduction, materials, protocols, and notes subheadings. Because many protocols are covered in each of these sections, information relating to a single protocol is not contiguous. To get the greatest benefit from this chapter, readers are advised to read through the entire chapter first, identify protocols appropriate to their laboratory for each step in their workflow, and then reread entries in each section pertaining to each of these single protocols.

Purification of diseased cells from Barrett's esophagus and related lesions by laser capture microdissection

Barrett's esophageal adenocarcinoma (BEAC) arises from Barrett's esophagus (BE), a premalignant lesion caused by acid reflux (heartburn). Although the cancer is uncommon, its incidence is rapidly rising in western countries. Like most other cancers, BEAC cells also have elevated telomerase activity which maintains telomere length and supports continued proliferation of these cells. It is not clear if telomerase is activated early at premalignant (BE) stage, because reports of telomerase activity in Barrett's and normal esophagi have been controversial. We have shown that detection of telomerase and telomeres becomes easier and much more reliable if purified BE cells are used instead of tissue specimens. This chapter, therefore, emphasizes the importance of laser capture microdissection and provides the method to purify Barrett's esophagus related cells, using this technique.

Laser capture microdissection of pancreatic ductal adeno-carcinoma cells to analyze EzH2 by Western Blot analysis

Pure populations of tumor cells are essential for the identification of tumor-associated proteins for the development of targeted therapy. In recent years, laser capture microdissection (LCM) has been used successfully to obtain distinct populations of cells for subsequent molecular analysis. The polycomb group (PcG) protein, enhancer of zeste homolog 2 (EzH2), a methyl-transferase that plays a key role in -transcriptional gene repression, is frequently overexpressed in several malignant tumors. High levels of EzH2 are often associated with advanced disease stage in many solid tumors; however, its role in the pathogenesis of pancreatic ductal adeno-carcinoma (PDAC) is poorly understood. Because of the limited sample availability and the absence of in vitro amplification steps for proteins, the use of LCM for proteomics studies largely depends on highly sensitive protein detection methods. Here, we developed a faster and sensitive Western blot protocol and validated it for the detection of EzH2 in ∼2,000 cells. Initially, cultured PANC-1 cells were used to optimize protein electrophoresis and western blotting conditions. Gradient gel electrophoresis in combination with optimized antibody concentrations, and a sensitive chemiluminescent assay provided a strong signal. In order to further confirm the role of EzH2 in PDAC, employing siRNA-mediated gene silencing via long lasting plasmid vectors containing shRNA, we investigated the potential role of EzH2 gene silencing in pancreatic cancer regression. Positive correlation of EzH2 expression was observed with advanced stage, serous histology, and increasing grade in pancreatic cancer patient tissues. Further EzH2 knockdown resulted in decreased cell growth and invasiveness. The findings of this study emphasize that western blotting of a LCM-generated pure population of cancer cells may be a valuable technique for the study of tumor-specific proteins.

Global gene expression changes in rat retinal ganglion cells in experimental glaucoma

PURPOSE

Intraocular pressure (IOP) is an important risk factor in glaucoma. Gene expression changes were studied in glaucomatous rat retinal ganglion cells (RGCs) to elucidate altered transcriptional pathways.

METHODS

RGCs were back-labeled with Fluorogold. Unilateral IOP elevation was produced by injection of hypertonic saline into the episcleral veins. Laser capture microdissection (LCM) was used to capture an equal number of RGCs from normal and glaucomatous retinal sections. RNA was extracted and amplified, labeled, and hybridized to rat genome microarrays, and data analysis was performed. After selected microarray data were confirmed by RT-qPCR and immunohistochemistry, biological pathway analyses were performed.

RESULTS

Significant changes were found in the expression of 905 genes, with 330 genes increasing and 575 genes decreasing in glaucomatous RGCs. Multiple cellular pathways were involved. Ingenuity pathway analysis demonstrated significant changes in cardiac beta-adrenergic signaling, interferon signaling, glutamate receptor signaling, cAMP-mediated signaling, chemokine signaling, 14-3-3-mediated signaling, and G-protein-coupled receptor signaling. Gene set enrichment analysis showed that the genes involved in apoptotic pathways were enriched in glaucomatous RGCs. The prosurvival gene Stat3 was upregulated in response to elevated IOP, and immunohistochemistry confirmed that Stat3 and phosphorylated-Stat3 levels were increased in RGCs in experimental glaucoma. In addition, the expression of several prosurvival genes normally expressed in RGCs was decreased.

CONCLUSIONS

There are extensive changes in gene expression in glaucomatous RGCs involving multiple molecular pathways, including prosurvival and prodeath genes. The alteration in the balance between prosurvival and prodeath may contribute to RGC death in glaucoma.

Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling

Background

For more than a decade, microarrays have been a powerful and widely used tool to explore the transcriptome of biological systems. However, the amount of biological material from cell sorting or laser capture microdissection is much too small to perform microarray studies. To address this issue, RNA amplification methods have been developed to generate sufficient targets from picogram amounts of total RNA to perform microarray hybridisation.

Results

In this study, four commercial protocols for amplification of picograms amounts of input RNA for microarray expression profiling were evaluated and compared. The quantitative and qualitative performances of the methods were assessed. Microarrays were hybridised with the amplified targets and the amplification protocols were compared with respect to the quality of expression profiles, reproducibility within a concentration range of input RNA, and sensitivity. The results demonstrate significant differences between these four methods.

Conclusion

In our hands, the WT-Ovation pico system proposed by Nugen appears to be the most suitable for RNA amplification. This comparative study will be useful to scientists needing to choose an amplification method to carry out microarray experiments involving samples comprising only a few cells and generating picogram amounts of RNA.

Identification of the deleted in liver cancer 1 gene, DLC1, as a candidate meningioma tumor suppressor

OBJECTIVE

Meningiomas are the second most common primary tumors of the central nervous system. Meningiomas at the cranial base pose technical challenges and result in increased morbidity. To investigate the molecular mechanisms of meningioma formation, the expression profiles of 12 000 genes from meningiomas and dural specimens were compared.

METHODS

Ribonucleic acid from 6 meningiomas (World Health Organization Grade I) and 4 dural specimens was profiled using U95A GeneChips (Affymetrix, Inc., Santa Clara, CA). Expression profiles of the 2 groups were compared using dChip and Data Mining Tool software packages (Affymetrix, Inc.) to identify differentially expressed genes. Down-regulation of a differentially expressed tumor suppressor gene, deleted in liver cancer 1 (DLC1), was verified by quantitative real-time reverse transcription-polymerase chain reaction and immunohistochemical staining. Function and methylation of DLC1 were assessed by ectopic expression in 5 primary cultures, demethylation assay using 5-aza-2'-deoxycytidine, and methylation-specific polymerase chain reaction in 4 meningioma samples.

RESULTS

Gene expression profiling revealed up-regulation of 5 genes (fibroblast growth factor 9, gibbon leukemia virus receptor 2, cyclin D1, eukaryotic translation initiation factor 5A, and 28S ribosomal ribonucleic acid) and down-regulation of 35 genes, including DLC1, in meningiomas. The down-regulation of DLC1 in meningiomas was confirmed by quantitative real-time reverse transcription-polymerase chain reaction and immunohistochemical staining. Transfection of DLC1 complementary deoxyribonucleic acid into primary cultures of 5 meningiomas resulted in decreased replication. Although demethylation decreased meningioma cell growth rates in vitro, methylation-specific polymerase chain reaction did not detect DLC1 promoter methylation.

CONCLUSION

The results suggest that DLC1 may function as a tumor suppressor gene in meningiomas. Furthermore, DLC1 promoter methylation does not appear to be responsible for the decreased DLC1 expression in these tumors.

Introduction to microarray technology

DNA microarrays can be used for large number of application where high-throughput is needed. The ability to probe a sample for hundred to million different molecules at once has made DNA microarray one of the fastest growing techniques since its introduction about 15 years ago. Microarray technology can be used for large scale genotyping, gene expression profiling, comparative genomic hybridization and resequencing among other applications. Microarray technology is a complex mixture of numerous technology and research fields such as mechanics, microfabrication, chemistry, DNA behaviour, microfluidics, enzymology, optics and bioinformatics. This chapter will give an introduction to each five basic steps in microarray technology that includes fabrication, target preparation, hybridization, detection and data analysis. Basic concepts and nomenclature used in the field of microarray technology and their relationships will also be explained.

Telomere maintenance in laser capture microdissection-purified Barrett's adenocarcinoma cells and effect of telomerase inhibition in vivo

PURPOSE

The aims of this study were to investigate telomere function in normal and Barrett's esophageal adenocarcinoma (BEAC) cells purified by laser capture microdissection and to evaluate the effect of telomerase inhibition in cancer cells in vitro and in vivo.

EXPERIMENTAL DESIGN

Epithelial cells were purified from surgically resected esophagi. Telomerase activity was measured by modified telomeric repeat amplification protocol and telomere length was determined by real-time PCR assay. To evaluate the effect of telomerase inhibition, adenocarcinoma cell lines were continuously treated with a specific telomerase inhibitor (GRN163L) and live cell number was determined weekly. Apoptosis was evaluated by Annexin labeling and senescence by beta-galactosidase staining. For in vivo studies, severe combined immunodeficient mice were s.c. inoculated with adenocarcinoma cells and following appearance of palpable tumors, injected i.p. with saline or GRN163L.

RESULTS

Telomerase activity was significantly elevated whereas telomeres were shorter in BEAC cells relative to normal esophageal epithelial cells. The treatment of adenocarcinoma cells with telomerase inhibitor, GRN163L, led to loss of telomerase activity, reduction in telomere length, and growth arrest through induction of both the senescence and apoptosis. GRN163L-induced cell death could also be expedited by addition of the chemotherapeutic agents doxorubicin and ritonavir. Finally, the treatment with GRN163L led to a significant reduction in tumor volume in a subcutaneous tumor model.

CONCLUSIONS

We show that telomerase activity is significantly elevated whereas telomeres are shorter in BEAC and suppression of telomerase inhibits proliferation of adenocarcinoma cells both in vitro and in vivo.

Probing Trypanosoma cruzi biology with DNA microarrays

The application of genome-scale approaches to study Trypanosoma cruzi-host interactions at different stages of the infective process is becoming possible with sequencing and assembly of the T. cruzi genome nearing completion and sequence information available for both human and mouse genomes. Investigators have recently begun to exploit DNA microarray technology to analyze host transcriptional responses to T. cruzi infection and dissect developmental processes in the complex T. cruzi life-cycle. Collectively, information generated from these and future studies will provide valuable insights into the molecular requirements for establishment of T. cruzi infection in the host and highlight the molecular events coinciding with disease progression. While the field is in its infancy, the availability of genomic information and increased accessibility to relatively high-throughput technologies represents a significant advancement toward identification of novel drug targets and vaccine candidates for the treatment and prevention of Chagas' disease.

Laser capture microdissection

Laser capture microdissection (LCM) offers a rapid and precise method of isolating and removing specified cells from complex tissues for subsequent analysis of their RNA, DNA, or protein content, thereby allowing assessment of the role of the cell type in the normal physiologic or disease process being studied. In this unit, protocols for the preparation of mammalian frozen tissues, fixed tissues, and cytologic specimens for LCM, including hematoxylin and eosin staining, are presented, as well as a protocol for the performance of LCM utilizing the PixCell I or II Laser Capture Microdissection System manufactured by Arcturus Engineering. Also provided is a protocol for tissue processing and paraffin embedding, and recipes for lysis buffers for the recovery of nucleic acids and proteins. The Commentary section addresses the types of specimens that can be utilized for LCM and approaches to staining of specimens for cell visualization. Emphasis is placed on the preparation of tissue or cytologic specimens as this is critical to effective LCM.

Laser capture microdissection and microarray analysis of dividing neural progenitor cells from the adult rat hippocampus

Neural progenitor cells reside in the hippocampus of adult rodents and humans and generate granule neurons throughout life. Knowledge about the molecular processes regulating these neurogenic cells is fragmentary. In order to identify genes with a role in the proliferation of adult neural progenitor cells, a protocol was elaborated to enable the staining and isolation of such cells under RNA-preserving conditions with a combination of immunohistochemistry and laser capture microdissection. We increased proliferation of neural progenitor cells by electroconvulsive treatment, one of the most effective antidepressant treatments, and isolated Ki-67-positive cells using this new protocol. RNA amplification via in vitro transcription and subsequent microarray analysis revealed over 100 genes that were differentially expressed in neural progenitor cells due to electroconvulsive treatment compared to untreated control animals. Some of these genes have already been implicated in the functioning of neural progenitor cells or have been induced by electroconvulsive treatment; these include brain-derived neurotrophic factor (Bdnf), PDZ-binding kinase (Pbk) and abnormal spindle-like microcephaly-associated (Aspm). In addition, genes were identified for which no role in the proliferation of neurogenic progenitors has been described so far, such as enhancer of zeste homolog 2 (Ezh2).

Microarrays for Cancer Diagnosis and Classification

Microarray analysis has yet to be widely accepted for diagnosis and classification of human cancers, despite the exponential increase in microarray studies reported in the literature. Among several methods available, a few refined approaches have evolved for the analysis of microarray data for cancer diagnosis. These include class comparison, class prediction and class discovery. Using as examples some of the major experimental contributions recently provided in the field of both hematological and solid tumors, we discuss the steps required to utilize microarray data to obtain general and reliable gene profiles that could be universally used in clinical laboratories. As we show, microarray technology is not only a new tool for the clinical lab but it can also improve the accuracy of the classical diagnostic techniques by suggesting novel tumor-specific markers. We then highlight the importance of publicly available microarray data and the development of their integrated analysis that may fulfill the promise that this new technology holds for cancer diagnosis and classification.

Advancement in characterization of genomic alterations for improved diagnosis, treatment and prognostics in cancer

Most human cancers are characterized by genetic instabilities. These instabilities manifest themselves as a series of genetic alterations, including discrete mutations and chromosomal aberrations. With the human genome deciphered, high-throughput technologies are rapidly advancing the field to generate genome-wide gene expression and mutation profiles that are highly correlative of biologic and disease phenotypes. While recent advancement in comprehensive genomic characterization presents an unprecedented opportunity for advancing the treatment of cancer, there are still many challenges that need to be overcome before we can fully utilize genomic markers and targets for cancer prediction, diagnostics, treatment and prognostics. This review describes recent advances in comprehensive genomic characterization at the DNA level, and considers some of the challenges that remain for defining the precise genomic portrait of tumors. Potential solutions that may help overcome these challenges are also offered.

Optimization of laser capture microdissection and RNA amplification for gene expression profiling of prostate cancer

Background

To discover prostate cancer biomarkers, we profiled gene expression in benign and malignant cells laser capture microdissected (LCM) from prostate tissues and metastatic prostatic adenocarcinomas. Here we present methods developed, optimized, and validated to obtain high quality gene expression data.

Results

RNase inhibitor was included in solutions used to stain frozen tissue sections for LCM, which improved RNA quality significantly. Quantitative PCR assays, requiring minimal amounts of LCM RNA, were developed to determine RNA quality and concentration. SuperScript II™ reverse transcriptase was replaced with SuperScript III™, and SpeedVac concentration was eliminated to optimize linear amplification. The GeneChip^® IVT labeling kit was used rather than the Enzo BioArray™ HighYield™ RNA transcript labeling kit since side-by-side comparisons indicated high-end signal saturation with the latter. We obtained 72 μg of labeled complementary RNA on average after linear amplification of about 2 ng of total RNA.

Conclusion

Unsupervised clustering placed 5/5 normal and 2/2 benign prostatic hyperplasia cases in one group, 5/7 Gleason pattern 3 cases in another group, and the remaining 2/7 pattern 3 cases in a third group with 8/8 Gleason pattern 5 cases and 3/3 metastatic prostatic adenocarcinomas. Differential expression of alpha-methylacyl coenzyme A racemase (AMACR) and hepsin was confirmed using quantitative PCR.

Effective use of microarrays in neuroendocrine research

The development of microarray technology makes it possible to simultaneously assay the expression level of hundreds to tens of thousands of mRNA transcripts in one experiment. Genome-wide transcriptional analysis has increasing importance for many areas of neuroendocrinology research. The expense and technical complexity of microarray experiments can make it difficult to navigate the terrain of rival platforms and technologies. In this review, we provide a practical view and comparison of various microarray technologies. Affymetrix arrays, high-density cDNA arrays, membrane arrays and experimental design and data analysis are all discussed by researchers currently using these techniques to study gene regulation in neuroendocrine tissues.

Global expression-based classification of lymph node metastasis and extracapsular spread of oral tongue squamous cell carcinoma

Regional lymph node metastasis is a critical event in oral tongue squamous cell carcinoma (OTSCC) progression. The identification of biomarkers associated with the metastatic process would provide critical prognostic information to facilitate clinical decision making for improved management of OTSCC patients. Global expressional profiles were obtained for 25 primary OTSCCs, where 11 cases showed lymph node metastasis (pN+) histologically and 14 cases were nonmetastatic (pN-). Seven of pN+ cases also exhibited extracapsular spread (ECS) of metastatic nodes. Multiple expression indices were used to generate signature gene sets for pN+/- and ECS+/- cases. Selected genes from signature gene sets were validated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The classification powers of these genes were then evaluated using a logistic model, receiver operating characteristic curve analysis, and leave-one-out cross-validation. qRT-PCR validation data showed that differences at RNA levels are either statistically significant (P < .05) or suggestive (P < .1) for six of eight genes tested (BMP2, CTTN, EEF1A1, GTSE1, MMP9, and EGFR) for pN+/- cases, and for five of eight genes tested (BMP2, CTTN, EEF1A1, MMP9, and EGFR) for ECS+/- cases. Logistic models with specific combinations of genes (CTTN+MMP9+EGFR for pN and CTTN+EEF1A1+MMP9 for ECS) achieved perfect specificity and sensitivity. Leave-one-out cross-validation showed overall accuracy rates of 85% for both pN and ECS prediction models. Our results demonstrated that the pN and the ECS of OTSCCs can be predicted by gene expression analyses of primary tumors.

Amplification of sense-stranded prokaryotic RNA

Microarray expression analysis has proven to be a valuable methodology. In eukaryotic systems where RNA is limiting, established protocols for amplification of mRNA, which rely on the poly(A) tails, are well established. In contrast, the difficulty in amplifying prokaryotic mRNA has limited the application of microarrays to microbiology. Here we present a method for the Linear Amplification of Prokaryotic Transcripts (LAPT) that is efficient and unbiased. The overhang tailing activity of Moloney murine leukemia virus reverse transcriptase is used to add the T7 promoter to cDNAs during reverse transcription. The promoter addition is uncoupled from the initial priming event allowing the promoter to be attached to the 5' end of the RNA transcript. This enables the amplification of sense-stranded RNA that is representative of the complexity and distribution of the original transcript pool. In microarray assays amplified prokaryotic RNA (10 ng total RNA starting material) showed good Spearman correlations to an unamplified control sample. Using genome-directed primers to bias addition of a T7-promoter to bacterial transcripts allowed amplification of prokaryotic transcripts in the presence of mammalian RNA (at a eukaryotic/prokaryotic RNA ratio of 500 to 1). This technology should facilitate the study of prokaryotic transcriptomes in situations, such as in vivo studies or mixed microbial populations, where the prokaryotic RNA amount is limited and/or the nontarget/target RNA ratios is high.

Array-comparative genomic hybridization to detect genomewide changes in microdissected primary and metastatic oral squamous cell carcinomas

Oral squamous cell carcinoma (OSCC) is a common worldwide malignancy. However, it is unclear what, if any, genomic alterations occur as the disease progresses to invasive and metastatic OSCC. This study used genomewide array-CGH in microdissected specimens to map genetic alterations found in primary OSCC and neck lymph node metastases. We used array-based comparative genomic hybridization (array-CGH) to screen genomewide alterations in eight pairs of microdissected tissue samples from primary and metastatic OSCC. In addition, 25 primary and metastatic OSCC tissue pairs were examined with immunohistochemistry for protein expression of the most frequently altered genes. The highest frequencies of gains were detected in LMYC, REL, TERC, PIK3CA, MYB, MDR1, HRAS, GARP, CCND2, FES, HER2, SIS, and SRY. The highest frequencies of losses were detected in p44S10, TIF1, LPL, MTAP, BMI1, EGR2, and MAP2K5. Genomic alterations in TGFbeta2, cellular retinoid-binding protein 1 gene (CRBP1), PIK3CA, HTR1B, HRAS, ERBB3, and STK6 differed significantly between primary OSCC and their metastatic counterparts. Genomic alterations in PRKCZ, ABL1, and FGF4 were significantly different in patients who died compared with those who survived. Immunohistochemistry confirmed high PIK3CA immunoreactivity in primary and metastatic OSCC. Higher FGF4 immunoreactivity in primary OSCC is associated with a worse prognosis. Loss of CRBP1 immunoreactivity is evident in primary and metastatic OSCC. Our study suggests that precise genomic profiling can be useful in determining gene number changes in OSCC. As our understanding of these changes grow, this profiling may become a practical tool for clinical evaluation.

Evolution of primate gene expression

It has been suggested that evolutionary changes in gene expression account for most phenotypic differences between species, in particular between humans and apes. What general rules can be described governing expression evolution? We find that a neutral model where negative selection and divergence time are the major factors is a useful null hypothesis for both transcriptome and genome evolution. Two tissues that stand out with regard to gene expression are the testes, where positive selection has exerted a substantial influence in both humans and chimpanzees, and the brain, where gene expression has changed less than in other organs but acceleration might have occurred in human ancestors.

Gene expression profiling in biliary epithelial cells of primary biliary cirrhosis using laser capture microdissection and cDNA microarray

Primary biliary cirrhosis (PBC) is a chronic, cholestatic liver disease characterized by progressive destruction of interlobular bile ducts that leads to biliary cirrhosis. To elucidate the etiology of PBC, the gene expression profile in biliary epithelial cells (BECs) was analyzed. Liver specimens of 5 PBC, 3 chronic hepatitis C (CHC), and 3 normal subjects were obtained. BECs were selectively collected by laser capture microdissection (LCM), RNA were obtained by extraction and amplification with T7 RNA polymerase, and a cDNA microarray analysis was performed. The following genes exhibited increased expression in BEC of PBC, as compared with CHC or normal subjects: human leukocyte antigen DQ alpha 1 (HLA-DQA-1), carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1), tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), and vascular cell adhesion molecule 1 (VCAM-1). The immunohistochemistry for HLA-DQA-1, CEACAM1, TRAIL, and VCAM-1 confirmed these results. Furthermore, two-way cluster analysis showed that the gene expression profiling in BEC of PBC were categorized into a separate cluster, distinct from CHC or normal subjects.

CONCLUSIONS

The gene expression profiling in BEC of PBC differed from those of CHC and normal subjects, and the genes concerning local immune response, such as HLA-DQA-1, CEACAM1, TRAIL, and VCAM-1, exhibited increased expression, indicating that they were involved in the development of bile duct injury.

Isolation of erythroid cells from the mouse embryonic yolk sac by laser capture microdissection and subsequent microarray hybridization

Erythropoietic tissues are complex, containing both erythroid and other cells. The embryonic yolk sac in particular contains primitive erythroid cells in low abundance. Laser capture microdissection (LCM) was performed to isolate erythroid cells, and epithelial cells, from mouse embryonic day 10 (E10) yolk sac. Quantitative RT-PCR was performed to confirm that enriched cell populations were obtained. epsilony- and betaH1-globin mRNAs were enriched in the erythroid compared to the epithelial fraction, and villin mRNA was enriched in the epithelial compared to the erythroid fraction. RNA isolated from the microdissected erythroid cells was of high quality as indicated by capillary electrophoresis. The RNA from the LCM erythroid fraction was linearly amplified with T7 RNA polymerase and hybridized to a Mouse 430A 2.0 Affymetrix array. Forty-eight percent of genes were present in the microarray assays, including low abundance transcripts such as erythroid transcription factors and enzymes involved in heme synthesis. With the LCM/microarray strategy, it will be possible to identify genes that are differentially regulated in native primitive and definitive erythroid cells.

Analysis of Affymetrix GeneChip data using amplified RNA

When small biological samples are collected by microdissection or other methods, amplification techniques are required to provide sufficient target for hybridization to expression arrays. One such technique is to perform two successive rounds of T7-based in vitro transcription. However the use of random primers, required to regenerate cDNA from the first round of transcription, results in shortened copies of cDNA from which the 5' end is missing. In this paper we describe an experiment designed to compare the quality of data obtained from labeling small RNA samples using the Affymetrix Two-Cycle Eukaryotic. Target Labeling procedure to that of data obtained using the One-Cycle Eukaryotic Target Labeling protocol. We utilized different preprocessing algorithms to compare the data generated using both labeling methods and present a new algorithm that improves upon existing ones in this setting.

Chipping into the human genome: novel insights for transplantation

High throughput, high density platforms for transcriptional, proteomic, and metabonomic analyses are opening new doors for improving our understanding of the complexity and redundancy of the immune system in the interplay of the innate and allo-immune responses in organ transplantation. New insights are being obtained into the possible discrepancies between the gold standard of tissue pathological diagnosis and clinical graft outcomes, as new transcriptional categories of transplant rejection evolve. The bystander effects of chronic immunosuppression underlying the complexities of graft dysfunction are beginning to be understood. Non-invasive mechanisms to monitor transplants, by following 'footprints' of biomarker sets that reflect the disease phenotype, are being pursued for their clinical application for direct patient care. Utilization of these same biomarker sets may also offer a unique means to titrate immunosuppression and predict specific graft dysfunction events prior to clinical decline, thus bringing in the potential to reduce patient morbidity from infection and malignancy, preserve graft integrity, and limit the progression of chronic graft injury. Bioinformatics support is integral to the unraveling of the mysteries of the human genome, proteome, and metabolome in disease and in health.

Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling

The possibility of performing microarray analysis on limited material has been demonstrated in a number of publications. In this review we approach the technical aspects of mRNA amplification and several important implicit consequences, for both linear and exponential procedures. Amplification efficiencies clearly allow profiling of extremely small samples. The conservation of transcript abundance is the most important issue regarding the use of sample amplification in combination with microarray analysis, and this aspect has generally been found to be acceptable, although demonstrated to decrease in highly diluted samples. The fact that variability and discrepancies in microarray profiles increase with minute sample sizes has been clearly documented, but for many studies this does appear to have affected the biological conclusions. We suggest that this is due to the data analysis approach applied, and the consequence is the chance of presenting misleading results. We discuss the issue of amplification sensitivity limits in the light of reports on fidelity, published data from reviewed articles and data analysis approaches. These are important considerations to be reflected in the design of future studies and when evaluating biological conclusions from published microarray studies based on extremely low input RNA quantities.

Microarray analysis of the transcriptome as a stepping stone towards understanding biological systems: practical considerations and perspectives

DNA microarrays have been used to characterize plant transcriptomes to answer various biological questions. While many studies have provided significant insights, there has been great debate about the general reliability of the technology and data analysis. When compared to well-established transcript analysis technologies, such as RNA blot analysis or quantitative reverse transcription-PCR, discrepancies have frequently been observed. The reasons for these discrepancies often relate to the technical and experimental systems. This review-tutorial addresses common problems in microarray analysis and describes: (i) methods to maximize extraction of valuable biological information from the vast amount of microarray data and (ii) approaches to balance resource availability with high scientific standards and technological innovation with peer acceptability.

Application of Oligonucleotide Microarrays to Assess the Biological Effects of Neoadjuvant Imatinib Mesylate Treatment for Localized Prostate Cancer

PURPOSE

Neoadjuvant administration of antineoplastic therapies is used to rapidly assess the clinical and biological activity of novel systemic treatments. To assess the feasibility of using microarrays to assess molecular end points following targeted treatment in a heterogeneous tumor, we measured global gene expression in localized prostate cancer before and following neoadjuvant treatment with imatinib mesylate.

PATIENTS AND METHODS

Patients with intermediate-risk to high-risk prostate cancer were treated for 6 weeks with 200 to 300 mg of oral imatinib mesylate. Frozen tissue was obtained from pretreatment ultrasound-guided biopsies and posttreatment radical prostatectomy specimens. Oligonucleotide microarray analysis following laser capture microdissection (LCM) and RNA amplification was used to assess gene expression changes associated with imatinib mesylate therapy. Immunohistochemistry was used to measure protein expression of MKP1 and CD31 and to assess cellular apoptosis.

RESULTS

Of the 11 patients enrolled, high-quality microarray data was obtained from both biopsies (n = 7) and radical prostatectomy specimens (n = 9). Technically introduced intrasample gene expression variability was found to be significantly less than intertumor biological variability. Large gene expression differences were observed, and the gene with the most consistent differential expression (MKP1) was validated by immunohistochemistry. Gene set enrichment analysis suggests that imatinib mesylate therapy results in apoptosis of microvascular endothelial cells, an observation anecdotally supported by immunohistochemistry.

CONCLUSIONS

This study shows that high-quality microarray data can be generated using LCM and RNA amplification to discover potential mechanisms of targeted therapy in cancer.

Limitations of mRNA amplification from small-size cell samples

Background

Global mRNA amplification has become a widely used approach to obtain gene expression profiles from limited material. An important concern is the reliable reflection of the starting material in the results obtained. This is especially important with extremely low quantities of input RNA where stochastic effects due to template dilution may be present. This aspect remains under-documented in the literature, as quantitative measures of data reliability are most often lacking. To address this issue, we examined the sensitivity levels of each transcript in 3 different cell sample sizes. ANOVA analysis was used to estimate the overall effects of reduced input RNA in our experimental design. In order to estimate the validity of decreasing sample sizes, we examined the sensitivity levels of each transcript by applying a novel model-based method, TransCount.

Results

From expression data, TransCount provided estimates of absolute transcript concentrations in each examined sample. The results from TransCount were used to calculate the Pearson correlation coefficient between transcript concentrations for different sample sizes. The correlations were clearly transcript copy number dependent. A critical level was observed where stochastic fluctuations became significant. The analysis allowed us to pinpoint the gene specific number of transcript templates that defined the limit of reliability with respect to number of cells from that particular source. In the sample amplifying from 1000 cells, transcripts expressed with at least 121 transcripts/cell were statistically reliable and for 250 cells, the limit was 1806 transcripts/cell. Above these thresholds, correlation between our data sets was at acceptable values for reliable interpretation.

Conclusion

These results imply that the reliability of any amplification experiment must be validated empirically to justify that any gene exists in sufficient quantity in the input material. This finding has important implications for any experiment where only extremely small samples such as single cell analyses or laser captured microdissected cells are available.

Expression profiling of laser-microdissected intrapulmonary arteries in hypoxia-induced pulmonary hypertension

BACKGROUND

Chronic hypoxia influences gene expression in the lung resulting in pulmonary hypertension and vascular remodelling. For specific investigation of the vascular compartment, laser-microdissection of intrapulmonary arteries was combined with array profiling.

METHODS AND RESULTS

Analysis was performed on mice subjected to 1, 7 and 21 days of hypoxia (FiO2 = 0.1) using nylon filters (1176 spots). Changes in the expression of 29, 38, and 42 genes were observed at day 1, 7, and 21, respectively. Genes were grouped into 5 different classes based on their time course of response. Gene regulation obtained by array analysis was confirmed by real-time PCR. Additionally, the expression of the growth mediators PDGF-B, TGF-beta, TSP-1, SRF, FGF-2, TIE-2 receptor, and VEGF-R1 were determined by real-time PCR. At day 1, transcription modulators and ion-related proteins were predominantly regulated. However, at day 7 and 21 differential expression of matrix producing and degrading genes was observed, indicating ongoing structural alterations. Among the 21 genes upregulated at day 1, 15 genes were identified carrying potential hypoxia response elements (HREs) for hypoxia-induced transcription factors. Three differentially expressed genes (S100A4, CD36 and FKBP1a) were examined by immunohistochemistry confirming the regulation on protein level. While FKBP1a was restricted to the vessel adventitia, S100A4 and CD36 were localised in the vascular tunica media.

CONCLUSION

Laser-microdissection and array profiling has revealed several new genes involved in lung vascular remodelling in response to hypoxia. Immunohistochemistry confirmed regulation of three proteins and specified their localisation in vascular smooth muscle cells and fibroblasts indicating involvement of different cells types in the remodelling process. The approach allows deeper insight into hypoxic regulatory pathways specifically in the vascular compartment of this complex organ.

Optimal molecular profiling of tissue and tissue components: defining the best processing and microdissection methods for biomedical applications

Isolation of well-preserved pure cell populations is a prerequisite for sound studies of the molecular basis of any tissue-based biological phenomenon. This article reviews current methods for obtaining anatomically specific signals from molecules isolated from tissues, a basic requirement for productive linking of phenotype and genotype. The quality of samples isolated from tissue and used for molecular analysis is often glossed over or omitted from publications, making interpretation and replication of data difficult or impossible. Fortunately, recently developed techniques allow life scientists to better document and control the quality of samples used for a given assay, creating a foundation for improvement in this area. Tissue processing for molecular studies usually involves some or all of the following steps: tissue collection, gross dissection/identification, fixation, processing/embedding, storage/archiving, sectioning, staining, microdissection/annotation, and pure analyte labeling/identification and quantification. We provide a detailed comparison of some current tissue microdissection technologies, and provide detailed example protocols for tissue component handling upstream and downstream from microdissection. We also discuss some of the physical and chemical issues related to optimal tissue processing, and include methods specific to cytology specimens. We encourage each laboratory to use these as a starting point for optimization of their overall process of moving from collected tissue to high quality, appropriately anatomically tagged scientific results. In optimized protocols is a source of inefficiency in current life science research. Improvement in this area will significantly increase life science quality and productivity. The article is divided into introduction, materials, protocols, and notes sections. Because many protocols are covered in each of these sections, information relating to a single protocol is not contiguous. To get the greatest benefit from this article, readers are advised to read through the entire article first, identify protocols appropriate to their laboratory for each step in their workflow, and then reread entries in each section pertaining to each of these single protocols.

Reliability and reproducibility of gene expression measurements using amplified RNA from laser-microdissected primary breast tissue with oligonucleotide arrays

Combined use of microdissection and high-density oligonucleotide arrays is a powerful technique to study in vivo gene expression. Because microdissection generally yields ng quantities of RNA, RNA amplification is necessary but affects array results. We tested the reliability and reproducibility of oligonucleotide array data obtained from small sample amplified RNA isolated from primary tissues via laser capture microdissection, to determine whether gene expression measurements obtained under these now customary conditions are reliable and reproducible enough to detect authentic expression differences between clinical samples. We performed eight U133A Affymetrix GeneChip oligonucleotide array hybridizations using RNA isolated from a single normal human breast specimen: two standard and six small samples prepared using independent microdissections, RNA isolations, and amplifications. We then performed six array hybridizations using RNA obtained similarly from paired normal epithelium and ductal carcinoma in situ from three independent breast specimens. We determined reliability by analysis of hybridization quality metrics, and reproducibility by analysis of the number of more than twofold changed genes, linear regression, and principal components analysis. All amplified RNA generated good quality hybridizations. From the initial specimen, correlations between replicates (r = 0.96 to 0.99) and between small samples (r = 0.94 to 0.98) were high, and between standard and small samples (r = 0.84) were moderate. In contrast, in the three normal cancer pairs, the differences in gene expression were large among the normal samples, the ductal carcinoma in situ samples, and between normal and ductal carcinoma in situ within each pair. These differences were a much larger source of variability than the technical variability introduced by the processes of laser capture microdissection, small sample amplification, and array hybridization. Nanogram quantities of RNA isolated from primary tissue using laser-capture microdissection generates reliable and reproducible gene expression measurements. These measurements do not mirror those obtained using micrograms of RNA. Biological variability in gene expression between independent specimens, and between histologically distinct samples within a specimen, is greater than the technical variability associated with the procedures. Future studies of in vivo gene expression using this approach will identify functionally important differences within or between specimens.

Aberrant expression of RAB1A in human tongue cancer

This study was designed to identify specific gene expression changes in tongue squamous cell carcinomas (TSCCs) compared with normal tissues using in-house cDNA microarray that comprised of 2304 full-length cDNAs from a cDNA library prepared from normal oral tissues, primary oral cancers, and oral cancer cell lines. The genes identified by our microarray system were further analysed at the mRNA or protein expression level in a series of clinical samples by real-time quantitative reverse transcriptase–polymerase chain reaction (qRT–PCR) analysis and imuunohositochemistry. The microarray analysis identified a total of 16 genes that were significantly upregulated in common among four TSCC specimens. Consistent with the results of the microarray, increased mRNA levels of selected genes with known molecular functions were found in the four TSCCs. Among genes identified, Rab1a, a member of the Ras oncogene family, was further analysed for its protein expression in 54 TSCCs and 13 premalignant lesions. We found a high prevalence of Rab1A-overexpression not only in TSCCs (98%) but also in premalignant lesions (93%). Thus, our results suggest that rapid characterisation of the target gene(s) for TSCCs can be accomplished using our in-house cDNA microarray analysis combined with the qRT–PCR and immunohistochemistry, and that the Rab1A is a potential biomarker of tongue carcinogenesis.

Increased DNA microarray hybridization specificity using sscDNA targets

Background

The most widely used amplification method for microarray analysis of gene expression uses T7 RNA polymerase-driven in vitro transcription (IVT) to produce complementary RNA (cRNA) that can be hybridized to arrays. However, multiple rounds of amplification are required when assaying very small amounts of starting RNA. Moreover, certain cRNA-DNA mismatches are more stable than the analogous cDNA-DNA mismatches and this might increase non-specific hybridization. We sought to determine whether a recently developed linear isothermal amplification method (ribo-SPIA) that produces single stranded cDNA would offer advantages over traditional IVT-based methods for microarray-based analyses of transcript expression.

Results

A single round of ribo-SPIA amplification produced sufficient sscDNA for hybridizations when as little as 5 ng of starting total RNA was used. Comparisons of probe set signal intensities obtained from replicate amplifications showed consistently high correlations (r = 0.99). We compared gene expression in two different human RNA samples using ribo-SPIA. Compared with one round IVT, ribo-SPIA had a larger dynamic range and correlated better with quantitative PCR results even though we used 1000-fold less starting RNA. The improved dynamic range was associated with decreases in hybridization to mismatch control probes.

Conclusion

The use of amplified sscDNA may offer substantial advantages over IVT-based amplification methods, especially when very limited amounts of starting RNA are available. The use of sscDNA targets instead of cRNA targets appears to improve hybridization specificity.

Optimized RNA amplification using T7-RNA-polymerase based in vitro transcription

The use of expression profiling to explore a cell's transcriptional landscape has exploded in recent years. In many cases, however, the very limited amount of starting material poses a major problem, making the amplification of the isolated RNA obligatory. The most prominent amplification method used was developed by the Eberwine lab in 1990: cDNA synthesis is started with an oligo(dT) primer containing a T7 RNA polymerase promoter. After second-strand synthesis RNA is transcribed in vitro using T7 RNA polymerase. It has been demonstrated that antisense RNA amplification not only preserves the fidelity of RNA-based microarray analysis but even improves the sensitivity. In our aim to improve the yield of in vitro transcription reactions and to facilitate the use of amplified RNA for the construction of cDNA libraries we tested a series of T7 primers with different 3' flanking sequences containing restriction sites. In addition we tested the impact of different DNA polymerases used for synthesizing the templates on the efficiency of the in vitro transcription reaction. A total of 28 different oligo(dT)-T7 promoter primers were tested. Two of them showed a dramatically increased yield of RNA from the in vitro transcription reaction. The combination of the improved second-strand synthesis with the new T7 primer increased the RNA yield 60-fold compared to the yield of standard procedures.

Combined laser capture microdissection and serial analysis of gene expression from human tissue samples

Cell-specific gene expression profiling from heterogeneous human tissues is confounded by cell purification limitations. Here, we describe a technique to generate gene expression profiles of pure populations of prostate cancer cells obtained from fresh-frozen prostatectomy specimens and small initial quantities of RNA by combining laser capture microdissection and microserial analysis of gene expression (LCM-microSAGE). Two microSAGE libraries were obtained from approximately 100,000 laser pulses, estimated to contain fewer than 3 x 10(5) cells and 20-30 ng mRNA. Two libraries were sequenced to a depth of 10,111 and 10,463 unique tags from normal and cancer cells, representing 6453 and 6923 genes, respectively. Most transcripts were expressed at similar levels, but cancer cells compared with normal cells had increased expression of 385 tags and decreased expression of 389 tags. A total of 20 genes were differentially expressed (P<0.05); five of these genes were upregulated and 15 were downregulated in cancer cells. Quantitative reverse transcriptase-polymerase chain reaction results from three selected genes corroborated the existence of cell-specific gene expression in LCM-microSAGE-derived libraries. In conclusion, the LCM-microSAGE approach demonstrates that large-scale expression profiles of known and unknown transcripts can be generated from pure populations of target cells obtained from human tissue samples comprised of heterogeneous mixtures of cell types.

A sequence-based identification of the genes detected by probesets on the Affymetrix U133 plus 2.0 array

One of the biggest problems facing microarray experiments is the difficulty of translating results into other microarray formats or comparing microarray results to other biochemical methods. We believe that this is largely the result of poor gene identification. We re-identified the probesets on the Affymetrix U133 plus 2.0 GeneChip array. This identification was based on the sequence of the probes and the sequence of the human genome. Using the BLAST program, we matched probes with documented and postulated human transcripts. This resulted in the redefinition of approximately 37% of the probes on the U133 plus 2.0 array. This updated identification specifically points out where the identification is complicated by cross-hybridization from splice variants or closely related genes. More than 5000 probesets detect multiple transcripts and therefore the exact protein affected cannot be readily concluded from the performance of one probeset alone. This makes naming difficult and impacts any downstream analysis such as associating gene ontologies, mapping affected pathways or simply validating expression changes. We have now automated the sequence-based identification and can more appropriately annotate any array where the sequence on each spot is known.

Cyclin G2 dysregulation in human oral cancer

Using expression microarray, we have previously shown that human cyclin G2 (hCG2) is significantly down-regulated in laser capture microdissected oral cancer epithelia. Western analysis showed detectable hCG2 protein in normal (2 of 2) but not in malignant (4 of 4) oral keratinocyte cell lines. Immunohistochemistry analysis done on oral cancers showed that normal oral mucosa (100%, 12 of 12) and 69.1% (47 of 68) of dysplastic oral epithelia expressed readily detectable hCG2 in the nuclei. However, only 11.1% of oral cancer epithelia (14 of 126) showed mild hCG2 nuclear staining. Interestingly, of the oral cancers devoid of nuclear hCG2 (112 cases), 58 cases (52%) showed cytoplasmic hCG2 immunostaining, whereas the other 54 cases (48%) exhibited neither nuclear nor cytoplasmic hCG2 staining. In vitro functional study by ectopic restoration of hCG2 expression in the human malignant squamous cell carcinoma (SCC) line SCC15 resulted in a significant inhibition of cellular proliferation (P < 0.001) and colony formation (P < 2 x 10(-5)) with increased population of G(1) phase and decreased in S phase (P < 0.01). Furthermore, stable down-regulation of hCG2 by short interference RNA-based gene silencing in immortalized normal oral keratinocytes resulted in enhanced cell growth with increase in S and prominently in G(2) phase. Because hCG2 has been implicated as a negative regulator in cell cycle progression, our results support that hCG2 dysregulation may play an important role in epithelial transformation and the early stages of human oral cancer development.

Preparation of label from small cell numbers for microarray screening

Common methods for amplification of labelled cRNA for hybridisation to Affymetrix GeneChips (Affymetrix Inc., Santa Clara, CA) assume that starting material is not limiting and require 2-5 microg of total RNA. However, often the target population of cells under study is a rare subset like stem cells or dendritic cells. To bypass this difficulty in the past, either the whole tissue or a representative cell line was used to obtain enough cells for experimentation. There are obvious limitations with these approaches. In the case of whole tissue, there are contaminating cells types, and cell lines may not exactly reflect cells in vivo. It has been reported that two cycles of amplification can generate enough labelled cRNA for hybridisation from as little as 2 ng of total RNA. This allows Affymetrix technology to be used to screen the gene expression of cells in low number, rare cell subsets or small patient biopsies. Adoption of this approach can be used to give an accurate profile of genes expressed in the specific cell subset of interest. Published methods and successful variations applied to these are discussed here.

Microgenomics: Identification of new expression profiles via small and single-cell sample analyses

BACKGROUND

Since the sequencing of the human genome has been finished, microgenomics has been booming, employing highly sophisticated, high-throughput platforms. But these mainly chip-based methods can only generate biologically relevant data if the samples investigated consist of homogeneous cell populations, in which no unwanted cells of different specificity and/or developmental stage obscure the results.

METHODS

Different sampling methods have been routinely applied to overcome the problem presented by heterogeneous samples, e.g., global surveys, cell cultures, and microdissection. Various methods of laser-assisted microdissection, employing either positive or negative selection of tissue areas or even single cells, are available.

RESULTS

These laser-assisted microdissection methods allow for fast and precise procurement of extremely small samples. Through subsequent application of recently developed methods of linear mRNA amplification in a pool of isolated total RNA, it has now become possible to perform complex high-throughput RNA expression profiling by microdissecting and processing even single-cell samples.

CONCLUSIONS

Studies using the tools and methods of microgenomics have shed light on how those new approaches will eventually aid in the development of a new generation of diagnostics, e.g., leading to new patient-specific drugs tailored to the requirements assessed by assaying only a few biopsy cells.

Microdissection Techniques for Molecular Testing in Surgical Pathology

Objective.—To describe the techniques for microdissection of paraffin-embedded and frozen tissue sections for the use in molecular applications.

Data Sources.—Original research papers and review papers and the authors' personal experiences.

Data Synthesis.—Manual and laser-capture microdissection are described in detail, with specific protocols for sample preparation and instructions for performing the microdissection. A section addressing frequently asked questions is also included.

Conclusions.—Microdissection is a technique that is very useful both in the research setting and for clinical molecular testing in paraffin-embedded tissue samples. The available techniques range from simple and inexpensive (manual microdissection) to complex and expensive (laser-capture microdissection). All of the techniques, however, require the user to be familiar with microscopy and histology.

Utility of linearly amplified RNA for RT-PCR detection of chromosomal translocations: validation using the t(2;5)(p23;q35) NPM-ALK chromosomal translocation

The requirement for sufficient quantities of starting RNA has limited the ability to evaluate multiple transcripts using reverse transcriptase-polymerase chain reaction (RT-PCR). In this study, we demonstrate the utility of linear RNA amplification for RT-PCR analysis of multiple gene transcripts including a chromosomal translocation, using the t(2;5)(p23;q35) as a model. RNA from the t(2;5)-positive cell line, SU-DHL-1, and the t(2;5)-negative cell line, HUT-78, was extracted and exposed to two rounds of linear amplification. RT-PCR using cDNA from the resultant amplified (a) RNA and total RNA resulted in the 177 bp NPM-ALK fusion gene product from the SU-DHL-1 cell line, but not from aRNA or total RNA from the HUT-78 cell line. DNA sequencing of the RT-PCR products from total and aRNA of SU-DHL-1 cells demonstrated identical sequences corresponding to the NPM-ALK fusion gene. Evaluation of 25 snap-frozen tissue samples, including eight NPM-ALK-positive ALCLs demonstrated 100% concordance of t(2;5) detection between cDNA from total RNA and that from aRNA. Our results show that linear amplification of RNA can enhance starting RNA greater than 200-fold and can be used for rapid and specific detection of multiplex gene expression from a variety of sources. This method can generate a renewable archive of representative cDNA, which can be used for retrospective screening of stored samples as well as positive controls for the clinical molecular diagnostic laboratory.

Amplification protocols introduce systematic but reproducible errors into gene expression studies

The desire to perform microarray experiments with small starting amounts of RNA has led to the development of a variety of protocols for preparing and amplifying mRNA. This has consequences not only for the standardization of experimental design, but also for reproducibility and comparability between experiments. Here we investigate the differences between the Affymetrix standard and small sample protocols and address the data analysis issues that arise when comparing samples and experiments that have been processed in different ways. We show that data generated on the same platform using different protocols are not directly comparable. Further, protocols introduce systematic biases that can be largely accounted for by using the correct data analysis techniques.