Development of multiplexed protein profiling and detection using near infrared detection of reverse-phase protein microarrays

Protein microarrays have been recently employed for signal pathway profiling and high-throughput protein expression analysis. Reversephase arrays, where the array consists of immobilized analytes and lysates has especially shown promise in low abundance analyte detection and signal pathway profiling using phospho-specific antibodies. A limitation to current reverse phase array methodology is the inability to multiplex proteomic-based endpoints as each array can only report one analyte endpoint. In this study, we report on the use of a dual dye based approach that can effectively double the number of endpoints observed per array allowing, for example, both phosphospecific and total protein levels to be measured and analyzed at once. The method utilizes antibody bound dyes that emit in the infrared spectral region as a means of sensitive and specific detection.     

Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization

MicroRNAs (miRNAs) have emerged as key regulators in the pathogenesis of cancers where they can act as either oncogenes or tumor suppressors. Most miRNA measurement methods require total RNA extracts which lack critical spatial information and present challenges for standardization. We have developed and validated a method for the quantitative analysis of miRNA expression by in situ hybridization (ISH) allowing for the direct assessment of tumor epithelial expression of miRNAs. This co-localization based approach (called qISH) utilizes DAPI and cytokeratin immunofluorescence to establish subcellular compartments in the tumor epithelia, then multiplexed with the miRNA ISH, allows for quantitative measurement of miRNA expression within these compartments. We use this approach to assess miR-21, miR-92a, miR-34a, and miR-221 expression in 473 breast cancer specimens on tissue microarrays. We found that miR-221 levels are prognostic in breast cancer illustrating the high-throughput method and confirming that miRNAs can be valuable biomarkers in cancer. Furthermore, in applying this method we found that the inverse relationship between miRNAs and proposed target proteins is difficult to discern in large population cohorts. Our method demonstrates an approach for large cohort, tissue microarray-based assessment of miRNA expression.     

Tumor profiling using protein biomarker panels in malignant melanoma: application of tissue microarrays and beyond

In the past decade, analysis of the urinary proteome (urinary proteomics) has intensified in response to the need for novel biomarkers that support early diagnosis of kidney diseases. In particular, this also applies to acute kidney injury, which is a heterogeneous complex syndrome with a still-increasing incidence at the intensive care unit. Unfortunately, this major need remains largely unmet to date. The current report aims to explain why attempts to implement urinary proteomic-discovered acute kidney injury diagnostic candidates in the intensive care unit setting have not yet led to success. Subsequently, some key notes are provided that should enhance the chance of translating selected urinary proteomic candidates to valuable tools for the nephrologist and intensivist in the near future.     

Signal pathway profiling of ovarian cancer from human tissue specimens using reverse-phase protein microarrays

Defects in cell signaling pathways play a central role in cancer cell growth, survival, invasion and metastasis. An important goal of proteomics is to characterize and develop "circuit maps" of these signaling pathways in normal and diseased cells. We have used reverse-phase protein array technology coupled with laser capture microdissection and phospho-specific antibodies to examine the activation status of several key molecular "gates" involved in cell survival and proliferation signaling in human ovarian tumor tissue. The levels of activated extracellular-regulated kinase (ERK1/2) varied considerably in tumors of the same histotype, but no significant differences between histotypes were observed. Advanced stage tumors had slightly higher levels of phosphorylated ERK1/2 compared to early stage tumors. The activation status of Akt and glycogen synthase kinase 3beta, key proteins and indicators of the state of the phosphatidylinositol 3-kinase/Akt pro-survival pathway also showed more variation within each histotype than between the histotypes studied. Our results demonstrate the utility of reverse phase protein microarrays for the multiplexed analysis of signal transduction from discreet cell populations of cells procured directly from human ovarian tumor specimens and suggest that patterns in signal pathway activation in ovarian tumors may be patient-specific rather than type or stage specific.     

Analysis conditions for proteomic profiling of mammalian tissue and cell extracts with antibody microarrays

Antibody microarrays are a developing tool for global proteomic profiling. A protocol was established that permits robust analyses of protein extracts from mammalian tissues and cells rather than body fluids. The factors optimized were buffer composition for surface blocking, blocking duration, protein handling and processing, labeling parameters like type of dye, molar ratio of label versus protein, and dye removal, as well as incubation parameters such as duration, temperature, buffer, and sample agitation.     

Expression profiling of microRNAs in human bone tissue from postmenopausal women

Bone tissue is composed of several cell types, which express their own microRNAs (miRNAs) that will play a role in cell function. The set of total miRNAs expressed in all cell types configures the specific signature of the bone tissue in one physiological condition. The aim of this study was to explore the miRNA expression profile of bone tissue from postmenopausal women. Tissue was obtained from trabecular bone and was analyzed in fresh conditions (n = 6). Primary osteoblasts were also obtained from trabecular bone (n = 4) and human osteoclasts were obtained from monocyte precursors after in vitro differentiation (n = 5). MicroRNA expression profiling was obtained for each sample by microarray and a global miRNA analysis was performed combining the data acquired in all the microarray experiments. From the 641 miRNAs detected in bone tissue samples, 346 (54%) were present in osteoblasts and/or osteoclasts. The other 46% were not identified in any of the bone cells analyzed. Intersection of osteoblast and osteoclast arrays identified 101 miRNAs shared by both cell types, which accounts for 30–40% of miRNAs detected in these cells. In osteoblasts, 266 miRNAs were detected, of which 243 (91%) were also present in the total bone array, representing 38% of all bone miRNAs. In osteoclasts, 340 miRNAs were detected, of which 196 (58%) were also present in the bone tissue array, representing 31% of all miRNAs detected in total bone. These analyses provide an overview of miRNAs expressed in bone tissue, broadening our knowledge in the microRNA field.     

Design of recombinant antibody microarrays for membrane protein profiling of cell lysates and tissue extracts

Generating global protein expression profiles, including also membrane proteins, will be crucial for our understanding of biological processes in health and disease. In this study, we have expanded our antibody microarray technology platform and designed the first human recombinant antibody microarray for membrane proteins targeting crude cell lysates and tissue extracts. We have optimized all key technological parameters and successfully developed a setup for extracting, labeling and analyzing non-fractionated membrane proteomes under non-denaturing conditions. Finally, the platform was also extended and shown to be compatible with simultaneous profiling of both membrane proteins and water-soluble proteins.     

Peptide microarrays for the profiling of cytotoxic T-lymphocyte activity using minimum numbers of cells

The identification of epitopes that elicit cytotoxic T-lymphocyte activity is a prerequisite for the development of cancer-specific immunotherapies. However, especially the parallel characterization of several epitopes is limited by the availability of T cells. Microarrays have enabled an unprecedented miniaturization and parallelization in biological assays. Here, we developed peptide microarrays for the detection of CTL activity. MHC class I-binding peptide epitopes were pipetted onto polymer-coated glass slides. Target cells, loaded with the cell-impermeant dye calcein, were incubated on these arrays, followed by incubation with antigen-expanded CTLs. Cytotoxic activity was detected by release of calcein and detachment of target cells. With only 200,000 cells per microarray, CTLs could be detected at a frequency of 0.5% corresponding to 1,000 antigen-specific T cells. Target cells and CTLs only settled on peptide spots enabling a clear separation of individual epitopes. Even though no physical boundaries were present between the individual spots, peptide loading only occurred locally and cytolytic activity was confined to the spots carrying the specific epitope. The peptide microarrays provide a robust platform that implements the whole process from antigen presentation to the detection of CTL activity in a miniaturized format. The method surpasses all established methods in the minimum numbers of cells required. With antigen uptake occurring on the microarray, further applications are foreseen in the testing of antigen precursors that require uptake and processing prior to presentation.     

Expression profiling in pancreas during the acute phase of pancreatitis using cDNA microarrays

Most attacks of acute pancreatitis are self-limiting, suggesting that the pancreatic cells adapt their phenotype to prevent progression of the disease. Such phenotypic change must involve a coordinated modification in the expression of numerous genes. To identify differentially expressed genes, high-density mouse cDNA microarrays were hybridized with cDNA probes from both healthy pancreas and pancreas affected by acute pancreatitis. From the 7981 mouse genes analyzed, 239 showed significant changes in their expression during the acute phase of pancreatitis. Among them, 107 genes were up-regulated whereas 132 were down-regulated. They include genes whose function was not previously related to pancreatitis, suggesting that they are involved in some way into the acute pancreatic response. Finally, 40% of differentially expressed genes corresponded to ESTs. Demonstration that a large quantity of unexpected or yet uncharacterized genes showed altered expression during acute pancreatitis underscores the interest of a genome-based investigation. Some of these genes are certainly involved in the cellular defense against pancreatitis and, as such, deserve being studied further.     

Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes

Background  

In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one searches for differentially expressed genes, the small number of samples gives rise to an inaccurate estimation of the experimental noise. This, in turn, leads to loss of statistical power.     

Extraction and labeling methods for microarrays using small amounts of plant tissue

Procedures were developed to maximize the yield of high-quality RNA from small amounts of plant biomass for microarrays. Two disruption techniques (bead milling and pestle and mortar) were compared for the yield and the quality of RNA extracted from 1-week-old Arabidopsis thaliana seedlings (approximately 0.5–30 mg total biomass). The pestle and mortar method of extraction showed enhanced RNA quality at the smaller biomass samples compared with the bead milling technique, although the quality in the bead milling could be improved with additional cooling steps. The RNA extracted from the pestle and mortar technique was further tested to determine if the small quantity of RNA (500 ng–7 μg) was appropriate for microarray analyses. A new method of low-quantity RNA labeling for microarrays (NuGEN Technologies, Inc.) was used on five 7-day-old seedlings (approximately 2.5 mg fresh weight total) of Arabidopsis that were grown in the dark and exposed to 1 h of red light or continued dark. Microarray analyses were performed on a small plant sample (five seedlings; approximately 2.5 mg) using these methods and compared with extractions performed with larger biomass samples (approximately 500 roots). Many well-known light-regulated genes between the small plant samples and the larger biomass samples overlapped in expression changes, and the relative expression levels of selected genes were confirmed with quantitative real-time polymerase chain reaction, suggesting that these methods can be used for plant experiments where the biomass is extremely limited (i.e. spaceflight studies).     

Transcription profiling of the early gravitropic response in Arabidopsis using high-density oligonucleotide probe microarrays

Studies of plant tropisms, the directed growth toward or away from external stimuli such as light and gravity, began more than a century ago. Yet biochemical, physiological, and especially molecular mechanisms of plant tropic responses remain for the most part unclear. We examined expression of 8,300 genes during early stages of the gravitropic response using high-density oligonucleotide probe microarrays. Approximately 1.7% of the genes represented on the array exhibited significant expression changes within the first 30 min of gravity stimulation. Among gravity-induced genes were a number of genes previously implicated to be involved in gravitropism. However, a much larger number of the identified genes have not been previously associated with gravitropism. Because reorientation of plants may also expose plants to mechanical perturbations, we also compared the effects of a gentle mechanical perturbation on mRNA levels during the gravity response. It was found that approximately 39% of apparently gravity-regulated genes were also regulated by the mechanical perturbation caused by plant reorientation. Our study revealed the induction of complex gene expression patterns as a consequence of gravitropic reorientation and points to an interplay between the gravitropic and mechanical responses and to the extreme sensitivity of plants to even very gentle mechanical perturbations.     

Application of microarrays in high-throughput enzymatic profiling

This review focuses on recent developments in microarray-based technologies for high-throughput screenings of enzymes. Novel methods of protein immobilization, detection of enzymatic activities, and inhibitions were highlighted.