Fluorescent vesicles for signal amplification in reverse phase protein microarray assays

Developments in microarray technology promise to lead to great advancements in the biomedical and biological field. However, implementation of these analytical tools often relies on signal amplification strategies that are essential to reach the sensitivity levels required for a variety of biological applications. This is true especially for reverse phase arrays where a complex biological sample is directly immobilized on the chip. We present a simple and generic method for signal amplification based on the use of antibody-tagged fluorescent vesicles as labels for signal generation. To assess the gain in assay sensitivity, we performed a model assay for the detection of rabbit immunoglobulin G (IgG) and compared the limit of detection (LOD) of the vesicle assay with the LOD of a conventional assay performed with fluorescent reporter molecules. We evaluated the improvements for two fluorescence-based transduction setups: a high-sensitivity microarray reader (ZeptoREADER) and a conventional confocal scanner. In all cases, our strategy led to an increase in sensitivity. However, gain in sensitivity widely depended on the type of illumination; whereas an approximately 2-fold increase in sensitivity was observed for readout based on evanescent field illumination, the contribution was as high as more than 200-fold for confocal scanning.     

RNAi-based validation of antibodies for reverse phase protein arrays

Background  

Reverse phase protein arrays (RPPA) have been demonstrated to be a useful experimental platform for quantitative protein profiling in a high-throughput format. Target protein detection relies on the readout obtained from a single detection antibody. For this reason, antibody specificity is a key factor for RPPA. RNAi allows the specific knockdown of a target protein in complex samples and was therefore examined for its utility to assess antibody performance for RPPA applications.     

Pathway alterations during glioma progression revealed by reverse phase protein lysate arrays

The progression of gliomas has been extensively studied at the genomic level using cDNA microarrays. However, systematic examinations at the protein translational and post-translational levels are far more limited. We constructed a glioma protein lysate array from 82 different primary glioma tissues, and surveyed the expression and phosphorylation of 46 different proteins involved in signaling pathways of cell proliferation, cell survival, apoptosis, angiogenesis, and cell invasion. An analysis algorithm was employed to robustly estimate the protein expressions in these samples. When ranked by their discriminating power to separate 37 glioblastomas (high-grade gliomas) from 45 lower-grade gliomas, the following 12 proteins were identified as the most powerful discriminators: IBalpha, EGFRpTyr845, AKTpThr308, phosphatidylinositol 3-kinase (PI3K), BadpSer136, insulin-like growth factor binding protein (IGFBP) 2, IGFBP5, matrix metalloproteinase 9 (MMP9), vascular endothelial growth factor (VEGF), phosphorylated retinoblastoma protein (pRB), Bcl-2, and c-Abl. Clustering analysis showed a close link between PI3K and AKTpThr308, IGFBP5 and IGFBP2, and IBalpha and EGFRpTyr845. Another cluster includes MMP9, Bcl-2, VEGF, and pRB. These clustering patterns may suggest functional relationships, which warrant further investigation. The marked association of phosphorylation of AKT at Thr308, but not Ser473, with glioblastoma suggests a specific event of PI3K pathway activation in glioma progression.     

Characterization of protein expression levels with label-free detected reverse phase protein arrays

In reverse-phase protein arrays (RPPA), one immobilizes complex samples (e.g., cellular lysate, tissue lysate or serum etc.) on solid supports and performs parallel reactions of antibodies with immobilized protein targets from the complex samples. In this work, we describe a label-free detection of RPPA that enables quantification of RPPA data and thus facilitates comparison of studies performed on different samples and on different solid supports. We applied this detection platform to characterization of phosphoserine aminotransferase (PSAT) expression levels in Acanthamoeba lysates treated with artemether and the results were confirmed by Western blot studies.     

Mycoplasma contamination of leukemic cell lines alters protein expression determined by reverse phase protein arrays

Mycoplasma contamination is a major problem in cell culturing, potentially altering the results of cell line-based experiments in largely uncharacterized ways. To define the consequences of mycoplasma infection at the level of protein expression we utilized the reverse phase protein array technology to analyze the expression of 235 proteins in mycoplasma infected, uninfected post treatment, and never-infected leukemic cell lines. Overall, protein profiles of cultured cells remained relatively stable after mycoplasma infection. However, paired comparisons for individual proteins identified that 18.7% of the proteins significantly changed between the infected and the never-infected cell line samples, and that 14.0% of the proteins significantly altered between the infected and the post treatment samples. Six percent of the proteins were affected in the post treatment samples compared to the never-infected samples, and 7.2% compared to treated cells that had never had mycoplasma infection before. Proteins that were significantly altered in the infected cells were enriched for apoptotic signaling processes and auto-phosphorylation, suggesting an increased cellular stress and a decreased growth rate. In conclusion, this study shows that mycoplasma infection of leukemic cell lines alters the proteins expression levels, potentially confounding experimental results. This reinforces the need for regular testing of mycoplasma.     

Signal pathway profiling of prostate cancer using reverse phase protein arrays

Reverse phase protein arrays represent a new proteomics microarray technology with which to study the fluctuating state of the proteome in minute quantities of cells. The activation status of cell signaling pathways controls cellular fate and deregulation of these pathways underpins carcinogenesis. Changes in pathway activation that occur between early stage prostatic epithelial lesions, prostatic stroma and the extracellular matrix can be analyzed by obtaining pure populations of cell types by laser capture microdissection (LCM) and analyzing the relative states of several key phosphorylation points within the cellular circuitry. We have applied reverse phase protein array technology to analyze the status of key points in cell signaling involved in pro-survival, mitogenic, apoptotic and growth regulation pathways in the progression from normal prostate epithelium to invasive prostate cancer. Using multiplexed reverse phase protein arrays coupled with LCM, the states of signaling changes during disease progression from prostate cancer study sets were analyzed. Focused analysis of phospho-specific endpoints revealed changes in cellular signaling events through disease progression and between patients. We have used a new protein array technology to study specific molecular pathways believed to be important in cell survival and progression from normal epithelium to invasive carcinoma directly from human tissue specimens. With the advent of molecular targeted therapeutics, the identification, characterization and monitoring of the signaling events within actual human biopsies will be critical for patient-tailored therapy.     

Utility of reverse phase protein arrays: Applications to signalling pathways and human body arrays

Brief Funct     

Utility of reverse phase protein arrays: applications to signalling pathways and human body arrays.

Protein microarrays offer a new means by which to conduct quantitative profiling of disease-associated proteins. The knowledge gained may provide novel strategies for early detection, diagnosis and therapeutic intervention. A variety of sophisticated approaches, including gene arrays, sequencing consortiums and large-scale two-dimensional gel electrophoresis, continue to generate lists of proteins potentially linked to disease aetiology and progression. The challenge is to evaluate quantitatively promising lead protein candidates using matched normal and diseased cell populations. In contrast to the antibody array, the reverse phase protein microarrays (RPPA) do not require labelling of cellular protein lysates, and constitute a sensitive high throughput platform for marker screening, pathophysiology investigation and therapeutic monitoring. In this paper, examples will be provided using RPPAs in the study of the apoptotic signalling cascade and in the evaluation of the expression of organ-specific protein makers using microdissected human organ cell lysates configured as 'human body arrays'.     

Common protein biomarkers assessed by reverse phase protein arrays show considerable intratumoral heterogeneity in breast cancer tissues

Proteins are used as prognostic and predictive biomarkers in breast cancer. However, the variability of protein expression within the same tumor is not well studied. The aim of this study was to assess intratumoral heterogeneity in protein expression levels by reverse-phase-protein-arrays (RPPA) (i) within primary breast cancers and (ii) between axillary lymph node metastases from the same patient. Protein was extracted from 106 paraffin-embedded samples from 15 large (≥3 cm) primary invasive breast cancers, including different zones within the primary tumor (peripheral, intermediate, central) as well as 2-5 axillary lymph node metastases in 8 cases. Expression of 35 proteins including 15 phosphorylated proteins representing the HER2, EGFR, and uPA/PAI-1 signaling pathways was assessed using reverse-phase-protein-arrays. All 35 proteins showed considerable intratumoral heterogeneity within primary breast cancers with a mean coefficient of variation (CV) of 31% (range 22-43%). There were no significant differences between phosphorylated (CV 32%) and non-phosphorylated proteins (CV 31%) and in the extent of intratumoral heterogeneity within a defined tumor zone (CV 28%, range 18-38%) or between different tumor zones (CV 24%, range 17-38%). Lymph node metastases from the same patient showed a similar heterogeneity in protein expression (CV 27%, range 18-34%). In comparison, the variation amongst different patients was higher in primary tumors (CV 51%, range 29-98%) and lymph node metastases (CV 65%, range 40-146%). Several proteins showed significant differential expression between different tumor stages, grades, histological subtypes and hormone receptor status. Commonly used protein biomarkers of breast cancer, including proteins from HER2, uPA/PAI-1 and EGFR signaling pathways showed higher than previously reported intratumoral heterogeneity of expression levels both within primary breast cancers and between lymph node metastases from the same patient. Assessment of proteins as diagnostic or prognostic markers may require tumor sampling in several distinct locations to avoid sampling bias.     

Blocking and detection chemistries affect antibody performance on reverse phase protein arrays

Antibody specificity is critical for RP protein arrays (RPA). The effects of blocking and detection chemistries on antibody specificity were evaluated for Western blots and RPA. Blocking buffers significantly affected nonspecific banding on Western blots, with corresponding effects on arrays. Tyramide signal amplification (TSA) increased both specific and nonspecific signals on Westerns and arrays, masking the expected gradations in signal intensity. These results suggest that consistent blocking and detection conditions should be used for antibody validation and subsequent RPA experiments.     

Spatiotemporal expression profiling of proteins in rat sciatic nerve regeneration using reverse phase protein arrays

Background  

Protein expression profiles throughout 28 days of peripheral nerve regeneration were characterized using an established rat sciatic nerve transection injury model. Reverse phase protein microarrays were used to identify the spatial and temporal expression profile of multiple proteins implicated in peripheral nerve regeneration including growth factors, extracellular matrix proteins, and proteins involved in adhesion and migration. This high-throughput approach enabled the simultaneous analysis of 3,360 samples on a nitrocellulose-coated slide.     

Temporal cooperativity and sensitivity amplification in biological signal transduction

Sensitivity amplification in signal transduction modules regulated by phosphorylation-dephosphorylation cycles and GTPases results from a new type of cooperativity which is fundamentally different from that of allosterism. This type of cooperativity, termed temporal cooperativity [Qian, H. (2003) Biophys. Chem. 105, 585-593], is analyzed in this paper through stochastic models for molecular interactions. Mathematical analysis is developed through a series of models with different levels of complexity, from which a simple conceptual model based on linear cooperativity is derived. The following are shown: (i) When both kinase and phosphatase are nonsaturating, the distribution of the number of activated substrate molecules is binomial. With increasing kinase activity, the peak of the distribution continuously moves toward 100% activation. (ii) When the kinase is saturated, i.e., zeroth order, the distribution is Poisson. (iii) When both enzymes are saturated, the distribution is geometric. Ultrasensitivity corresponds to an abrupt switching of the peak position of the distribution from 0 to 100%. The theory is applicable to a wide range of processes in cell signaling including the specificity and sensitivity of T-cell activation.     

RPPAML/RIMS: A metadata format and an information management system for reverse phase protein arrays

Background  

Reverse Phase Protein Arrays (RPPA) are convenient assay platforms to investigate the presence of biomarkers in tissue lysates. As with other high-throughput technologies, substantial amounts of analytical data are generated. Over 1000 samples may be printed on a single nitrocellulose slide. Up to 100 different proteins may be assessed using immunoperoxidase or immunoflorescence techniques in order to determine relative amounts of protein expression in the samples of interest.     

Thermodynamic and kinetic analysis of sensitivity amplification in biological signal transduction

Based on a thermodynamic analysis of the kinetic model for the protein phosphorylation-dephosphorylation cycle, we study the ATP (or GTP) energy utilization of this ubiquitous biological signal transduction process. It is shown that the free energy from hydrolysis inside cells, DeltaG (phosphorylation potential), controls the amplification and sensitivity of the switch-like cellular module; the response coefficient of the sensitivity amplification approaches the optimal 1 and the Hill coefficient increases with increasing DeltaG. We discover that zero-order ultrasensitivity is mathematically equivalent to allosteric cooperativity. Furthermore, we show that the high amplification in ultrasensitivity is mechanistically related to the proofreading kinetics for protein biosynthesis. Both utilize multiple kinetic cycles in time to gain temporal cooperativity, in contrast to allosteric cooperativity that utilizes multiple subunits in a protein.     

Improved sensitivity of whole-cell hybridization by the combination of horseradish peroxidase-labeled oligonucleotides and tyramide signal amplification.

The substrate fluorescein-tyramide was combined with oligonucleotide probes directly labeled with horseradish peroxidase to improve the sensitivity of in situ hybridization of whole fixed bacterial cells. Flow cytometry and quantitative microscopy of cells hybridized by this technique showed 10- to 20-fold signal amplifications relative to fluorescein-monolabeled probes. The application of the new technique to the detection of natural bacterial communities resulted in very bright signals; however, the number of detected cells was significantly lower than that detected with fluorescently monolabeled, rRNA-targeted oligonucleotide probes.     

Regulation of the Rad53 protein kinase in signal amplification by oligomer assembly and disassembly

Rad53, the ortholog of mammalian Chk2, is a major DNA damage checkpoint effector kinase in Saccharomyces cerevisiae. Despite extensive studies on the genetic requirements for Rad53 activation and its linkage downstream to checkpoint responses, the mechanism of Rad53 activation is not completely understood. Rad53-dependent signal amplification is thought to be a primary force that accelerates checkpoint signal transduction processes in response to DNA damage. Rad53 forms oligomers upon DNA damage in vivo. It is not clear how oligomer formation affects Rad53 activation and what is the mechanism of Rad53 oligomerization. Here, we monitor Rad53 oligomer assembly and disassembly in vitro. These processes are ATP-dependent and are regulated through phosphorylation. Mutations in FHA or SCD domains of RAD53 compromise intermolecular autophosphorylation activity and these domains are indispensable for Rad53 oligomerization. The mediator Rad9 is not necessary for Rad53 oligomerization. Rad53 kinase activity is required for disassembly of Rad53 oligomers in vivo after DNA damage. Moreover, induced oligomerization of Rad53 efficiently activates Rad53 in the absence of Mec1 in vivo. The results support the conclusions that Rad53/Chk2 homo-oligomerization is an evolutionarily conserved mechanism that drives Rad53/Chk2 activation and promotes signal amplification in DNA damage responses.     

Determining proteome-wide expression levels using reverse protein arrays in fission yeast

Global protein expression profiling of various mutants or growth conditions is currently a major challenge in biology. Here we provide a protocol for a strategy that we recently developed that couples ORFeome-based (ORF denotes open reading frame) expression to reverse protein arrays; this approach accurately quantifies more than 99% of the predicted fission yeast proteins in various genetic backgrounds. The first stage of this two-stage protocol requires mass mating between any fertile fission yeast mutant of interest and the integrated fission yeast-tagged ORFeome followed by selection of recombinant haploids. The second stage of the protocol, called reverse protein arrays, involves simple large-scale extraction of total proteins, which are then spotted on nitrocellulose membranes for detection by quantitative dot blot. When handled manually, the entire protocol takes about 2 months. However, the process could easily be automated and should also be applicable to other organisms.