Transfer and multiplex immunoblotting of a paraffin embedded tissue

As we transition from genomics to the challenges of the functional proteome, new tools to explore the expression of proteins within tissue are essential. We have developed a method of transferring proteins from a formalin fixed, paraffin embedded tissues section to a stack of membranes which is then probed with antibodies for detection of individual epitopes. This method converts a traditional tissue section into a multiplex platform for expression profiling. A single tissue section can be transferred to up to ten membranes, each of which is probed with different antibodies, and detected with fluorescent secondary antibodies, and quantified by a microarray scanner. Total protein can be determined on each membrane, hence each antibody has its own normalization. This method works with phospho-specific antibodies as well as antibodies that do not readily work well with paraffin embedded tissue. This novel technique enables archival paraffin embedded tissue to be molecularly profiled in a rapid and quantifiable manner, and reduces the tissue microarray to a form of protein array. This method is a new tool for exploration of the vast archive of formalin fixed, paraffin embedded tissue, as well as a tool for translational medicine.     

The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison

Background  

Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, together with a statistical significance assessment. This process typically consists of two steps: data normalization and identification of differentially expressed genes through statistical analysis. The Expresso microarray experiment management system implements these steps with a two-stage, log-linear ANOVA mixed model technique, tailored to individual experimental designs. The complement of tools in TM4, on the other hand, is based on a number of preset design choices that limit its flexibility. In the TM4 microarray analysis suite, normalization, filter, and analysis methods form an analysis pipeline. TM4 computes integrated intensity values (IIV) from the average intensities and spot pixel counts returned by the scanner software as input to its normalization steps. By contrast, Expresso can use either IIV data or median intensity values (MIV). Here, we compare Expresso and TM4 analysis of two experiments and assess the results against qRT-PCR data.     

Microarray gene expression analysis free of reverse transcription and dye labeling

A new microarray system has been developed for gene expression analysis using cationic gold nanoparticles with diameters of 250 nm as a target detection reagent. The approach utilizes nonlabeled target molecules hybridizing with complementary probes on the array, followed by incubation in a colloidal gold solution. The hybridization signal results from the precipitation of nanogold particles on the hybridized spots due to the electrostatic attraction of the cationic gold particles and the anionic phosphate groups in the target DNA backbone. In contrast to conventional fluorescent detection, this nanoparticle-based detection system eliminates the target labeling procedure. The visualization of hybridization signals can be accomplished with a flatbed scanner instead of a confocal laser scanner, which greatly simplifies the process and reduces the cost. The sensitivity is estimated to be less than 2 pg of DNA molecules captured on the array surface. The signal from hybridized spots quantitatively represents the amount of captured target DNA and therefore permits quantitative gene expression analysis. Cross-array reproducibility is adequate for detecting twofold or less signal changes across two microarray experiments.     

Protein expression profiling of breast cancer cells by dissociable antibody microarray (DAMA) staining

Dissociable antibody microarray (DAMA) staining is a technology that combines protein microarrays with traditional immunostaining techniques. It can simultaneously determine the expression and subcellular location of hundreds of proteins in cultured cells and tissue samples. We developed this technology and demonstrated its application in identifying potential biomarkers for breast cancer. We compared the expression profiles of 312 proteins among three normal breast cell lines and seven breast cancer cell lines and identified 10 differentially expressed proteins by the data analysis program DAMAPEP (DAMA protein expression profiling). Among those proteins, RAIDD, Rb p107, Rb p130, SRF, and Tyk2 were confirmed by Western blot and statistical analysis to have higher expression levels in breast cancer cells than in normal breast cells. These proteins could be potential biomarkers for the diagnosis of breast cancer.     

Protein expression analysis using quantitative fluorescence image analysis on tissue microarray slides

We have developed a tissue microarray (TMA)-based quantitative fluorescence image analysis (QFIA) method in which protein markers on TMA sections were labeled by immunofluorescence using tyramide signal amplification and a quantitative fluorescence detection system. Using this method, BRCA1 protein expression patterns were studied in the TMA sections of cell lines with known levels of BRCA1 expression and in a small group of human tissue samples obtained from sporadic epithelial ovarian cancers, their corresponding adjacent dysplastic fields, and distant non-tumor areas. We detected distinctive BRCA1 expression patterns in high-grade and low-grade sporadic epithelial ovarian cancers and their associated adjacent dysplastic fields. However, such patterns of expression could not be adequately detected by traditional immunohistochemical staining methods. TMA-QFIA provides a sensitive, automated, and quantitative measurement of protein expression on archived tissue and cell samples and will be a useful tool for protein-level molecular profiling analyses.     

Reconstructing protein networks of epithelial differentiation from histological sections

MOTIVATION: For systems biology of complex stratified epithelia like human epidermis, it will be of particular importance to reconstruct the spatiotemporal gene and protein networks regulating keratinocyte differentiation and homeostasis. RESULTS: Inside the epidermis, the differentiation state of individual keratinocytes is correlated with their respective distance from the connective tissue. We here present a novel method to profile this correlation for multiple epithelial protein biomarkers in the form of quantitative spatial profiles. Profiles were computed by applying image processing algorithms to histological sections stained with tri-color indirect immunofluorescence. From the quantitative spatial profiles, reflecting the spatiotemporal changes of protein expression during cellular differentiation, graphs of protein networks were reconstructed. CONCLUSION: Spatiotemporal networks can be used as a means for comparing and interpreting quantitative spatial protein expression profiles obtained from different tissue samples. In combination with automated microscopes, our new method supports the large-scale systems biological analysis of stratified epithelial tissues.     

Tissue microarray-determined expression profiles of cyclooxygenase-2 in colorectal adenocarcinoma: association with clinicopathological parameters

Accumulated evidence reveals that increased cyclooxygenase-2 (COX-2) is involved in the development of colorectal cancer. Our purpose was to quantitate COX-2 expression in colorectal cancers using tissue microarray analysis and look for an association with clinicopathological stage. Immunohistochemical analysis of COX-2 was performed in tissue microarray slides containing 90 specimens including 32 well-differentiated, 35 moderately differentiated, and 23 poorly differentiated colorectal adenocarcinomas. All colorectal adenocarcinomas showed significant immunohistochemical expression of COX-2 when compared to normal colon epithelia. However, there was no significant difference in immunostaining scores between poorly, moderately, and well-differentiated tumors (195 +/- 28, 214 +/- 26 and 200 +/- 24, respectively). The COX-2 immunostaining score correlated significantly with T stage (P < 0.05) but not with N or M stage. The positive expression rates of CK20 were 97% for well-differentiated, 94% for moderately differentiated, and 65% for poorly differentiated colorectal adenocarcinomas, suggesting that CK20 may not be an effective discriminator between poorly differentiated colorectal adenocarcinoma and metastatic adenocarcinoma.     

Determination of stromal signatures in breast carcinoma

Many soft tissue tumors recapitulate features of normal connective tissue. We hypothesize that different types of fibroblastic tumors are representative of different populations of fibroblastic cells or different activation states of these cells. We examined two tumors with fibroblastic features, solitary fibrous tumor (SFT) and desmoid-type fibromatosis (DTF), by DNA microarray analysis and found that they have very different expression profiles, including significant differences in their patterns of expression of extracellular matrix genes and growth factors. Using immunohistochemistry and in situ hybridization on a tissue microarray, we found that genes specific for these two tumors have mutually specific expression in the stroma of nonneoplastic tissues. We defined a set of 786 gene spots whose pattern of expression distinguishes SFT from DTF. In an analysis of DNA microarray gene expression data from 295 previously published breast carcinomas, we found that expression of this gene set defined two groups of breast carcinomas with significant differences in overall survival. One of the groups had a favorable outcome and was defined by the expression of DTF genes. The other group of tumors had a poor prognosis and showed variable expression of genes enriched for SFT type. Our findings suggest that the host stromal response varies significantly among carcinomas and that gene expression patterns characteristic of soft tissue tumors can be used to discover new markers for normal connective tissue cells.     

Characterization of DNA chips by nanogold staining

DNA microarray is an important tool in biomedical research. Up to now, there are no chips that can allow both quality analysis and hybridization using the same chip. It is risky to draw conclusions from results of different chips if there is no knowledge of the quality of the chips before hybridization. In this article, we report a colorimetric method to do quality control on an array. The quality analysis of probe spots can be obtained by using gold nanoparticles with positive charges to label DNA through electrostatic attraction. The probe spots can also be detected by a simple personal computer scanner. Gold nanoparticles deposited on a glass surface can be dissolved in bromine-bromide solution. The same microarray treated with gold particles staining and destaining can still be used for hybridization with nearly the same efficiency. This approach makes quality control of a microarray chip feasible and should be a valuable tool for biomarker discovery in the future.     

Microarrays as validation strategies in clinical samples: tissue and protein microarrays

The widespread use of DNA microarrays has led to the discovery of many genes whose expression profile may have significant clinical relevance. The translation of this data to the bedside requires that gene expression be validated as protein expression, and that annotated clinical samples be available for correlative and quantitative studies to assess clinical context and usefulness of putative biomarkers. We review two microarray platforms developed to facilitate the clinical validation of candidate biomarkers: tissue microarrays and reverse-phase protein microarrays. Tissue microarrays are arrays of core biopsies obtained from paraffin-embedded tissues, which can be assayed for histologically-specific protein expression by immunohistochemistry. Reverse-phase protein microarrays consist of arrays of cell lysates or, more recently, plasma or serum samples, which can be assayed for protein quantity and for the presence of post-translational modifications such as phosphorylation. Although these platforms are limited by the availability of validated antibodies, both enable the preservation of precious clinical samples as well as experimental standardization in a high-throughput manner proper to microarray technologies. While tissue microarrays are rapidly becoming a mainstay of translational research, reverse-phase protein microarrays require further technical refinements and validation prior to their widespread adoption by research laboratories.     

Immunolabeling of carbonic anhydrase isoenzyme C and glial fibrillary acidic protein in paraffin-embedded tissue sections of human brain and retina

The specificities of carbonic anhydrase isoenzyme C (CA C) and glial fibrillary acidic (GFA) protein as immunocytochemical markers for different glial cell populations in human brain and retina were studied using indirect immunofluorescence and peroxidase-antiperoxidase complex methods. With antibodies against CA C, only those cerebral cells that were morphologically oligodendrocytes and Müller cells of the retina showed positive immunostaining reaction, whereas antibodies against GFA protein selectively labeled cerebral astrocytes and a part of the glial cells and fibers in the inner layers of the retina. In double labeling, when both glial cell markers were successively localized in the same cerebral tissue sections, GFA protein immunofluorescence was never found in the immunoperoxidase-stained CA C-positive cells, which further supports the oligodendrocyte-specificity of CA C in human brain.     

Immunostaining with dissociable antibody microarrays

The availability of a large number of biological materials such as cDNA, antibodies, recombinant proteins, and tissues has promoted the development of microarray technologies that make use of these materials in high-throughput screening assays. However, because microarray technologies have been less successful in examining proteins than DNA and mRNA, there is a need for improved protein microarray systems. To address this need, we developed an antibody microarray-based immunostaining method that can analyze the properties of a large number of proteins simultaneously. In this method, antibodies are arrayed and immobilized on a solid support and cells bearing antigens of interest are attached to a second support. Apposition of the two supports allows the antibodies to dissociate from the array support and bind to the cellular antigens. After separation of the supports, antigen-bound antibodies can be detected by standard secondary antibody techniques. These "dissociable" antibody arrays were used to detect both the expression and subcellular localization of a large number of specific proteins in various cultured cell types.     

Tissue microarrays: fast-tracking protein expression at the cellular level

Tissue microarrays maximize returns in cellular pathology whilst minimizing the use of cells and tissues. They are made by arraying cores of tissue taken from multiple donor blocks into a single recipient block. Accordingly, the histology and pathology of several hundred tissues can be represented in one tissue microarray that, when stained by immunohistochemistry, provides comprehensive topographic information on protein expression. Used with complimentary techniques, such as complementary DNA microarray analysis, tissue microarrays are providing valuable data for the identification of new markers of disease and assisting in the discovery of therapeutic targets. They are also leading a revolution in cellular pathology as high-throughput technology is introduced to maximize the information provided.     

Immunohistochemical Localization of Mitochondrial Fatty Acid ��-Oxidation Enzymes in Rat Testis

The testis consists of two types of tissues, the interstitial tissue and the seminiferous tubule, which have different functions and are assumed to have different nutritional metabolism. The localization of enzymes of the mitochondrial fatty acid β-oxidation system in the testis was investigated to obtain a better understanding of nutrient metabolism in the testis. Adult rat testis tissues were subjected to immunoblot analysis for quantitation of the amounts of enzyme proteins, to DNA microarray analysis for gene expression, and to immunofluorescence and immunoelectron microscopy for localization. Quantitative analysis by immunoblot and DNA microarray revealed that enzymes occur abundantly in Leydig cells in the interstitial tissue but much less so in the seminiferous tubules. Immunohistochemistry revealed that Leydig cells in the interstitial tissue and Sertoli cells in the seminiferous tubules contain a full set of mitochondrial fatty acid β-oxidation enzymes in relatively plentiful amounts among the cells in the testis, but that this is not so in spermatogenic cells. This characteristic localization of the mitochondrial fatty acid β-oxidation system in the testis needs further elucidation in terms of a possible role for it in the nutritional metabolism of spermatogenesis. (J Histochem Cytochem 58:195–206, 2010)     

Tissue microarrays: fast-tracking protein expression at the cellular level

Tissue microarrays maximize returns in cellular pathology whilst minimizing the use of cells and tissues. They are made by arraying cores of tissue taken from multiple donor blocks into a single recipient block. Accordingly, the histology and pathology of several hundred tissues can be represented in one tissue microarray that, when stained by immunohistochemistry, provides comprehensive topographic information on protein expression. Used with complimentary techniques, such as complementary DNA microarray analysis, tissue microarrays are providing valuable data for the identification of new markers of disease and assisting in the discovery of therapeutic targets. They are also leading a revolution in cellular pathology as high-throughput technology is introduced to maximize the information provided.     

cluML

cluML is a new markup language for microarray data clustering and cluster validity assessment. The XML-based format has been designed to address some of the limitations observed in traditional formats, such as inability to store multiple clustering (including biclustering) and validation results within a dataset. cluML is an effective tool to support biomedical knowledge representation in gene expression data analysis. Although cluML was developed for DNA microarray analysis applications, it can be effectively used for the representation of clustering and for the validation of other biomedical and physical data that has no limitations.     

Rapid and quantitative quality control of microarrays using cationic nanoparticles

The fabrication quality of microarrays significantly influences the accuracy and reproducibility of microarray experiments. In this report, we present a simple and fast quality control (QC) method for spotted oligonucleotide and cDNA microarrays. It employs a nonspecific electrostatic interaction of colloidal gold nanoparticles with the chemical groups of DNA molecules and other biomolecules immobilized on the microarray surface that bear positive or negative charges. An inexpensive flatbed scanner is used to visualize and quantify the binding of cationic gold particles to the anionic DNA probes on the microarray surface. An image analysis software was designed to assess the various parameters of the array spots including spot intensity, shape and array homogeneity, calculate the overall array quality score, and save the detailed array quality report in an Excel file. The gold staining technique is fast and sensitive. It can be completed in 10 min and detect less than 1% of the probe amount commonly recommended for microarrays. Compared to the current microarray QC method that utilizes the hybridization of probes with short random sequence oligonucleotides labeled with fluorophore, our gold staining method requires less time for the analysis, reduces the reagent cost, and eliminates the need for the expensive laser scanner. Biotechnol. Bioeng. 2009; 102: 960–964. © 2008 Wiley Periodicals, Inc.