Application of protein lysate microarrays to molecular marker verification and quantification

This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r² ≥ 0.98 (p ≤ 0.001) for lipoprotein [a] and with r² ≥ 0.94 (p ≤ 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.     

A multistep protein lysate array quantification method and its statistical properties

The protein lysate array is an emerging technology for quantifying the protein concentration ratios in multiple biological samples. Statistical inference for a parametric quantification procedure has been inadequately addressed in the literature, mainly because the appropriate asymptotic theory involves a problem with the number of parameters increasing with the number of observations. In this article, we develop a multistep procedure for the Sigmoidal models, ensuring consistent estimation of the concentration levels with full asymptotic efficiency. The results obtained in the article justify inferential procedures based on large sample approximations. Simulation studies and real data analysis are used in the article to illustrate the performance of the proposed method in finite samples. The multistep procedure is convenient to work with asymptotically, and is recommended for its statistical efficiency in protein concentration estimation and improved numerical stability by focusing on optimization of lower-dimensional objective functions.     

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.     

Comparison of ovalbumin quantification using forward-phase protein microarrays and suspension arrays

We employed ovalbumin (a simulant used for ricin and botulism toxins in biodefense applications) and its high affinity polyclonal antibody as a model system to examine the sensitivity, dynamic range, linearity, and reproducibility of forward-phase array results in comparison to suspension arrays. It was found that protein microarrays had a dynamic range of 4 orders of magnitude and a sensitivity of less than 1 pg/mL, respectively. The dynamic range and sensitivity of suspension arrays were close to 2 orders of magnitude and 0.25 ng/mL, respectively. The sensitivity we observed for the suspension arrays is comparable to that reported for enzyme-linked immunosorbent assays (ELISAs) in the literature. We used ovalbumin samples with two different purities, 38.0% and 76.0% (w/w), as determined by polyacrylamide gel electrophoresis (PAGE). These samples were used to evaluate the effect of impure samples on detection. The data obtained from the forward-phase protein arrays gave values that were consistent with the PAGE data. The data from the suspension arrays were not as consistent and may indicate that this format may not give as reliable data with impure samples. Knowledge of the advantages and disadvantages of the two proteomic methods would allow their more rational use in clinical diagnosis.     

Monoclonal antibody selection for interleukin-4 quantification using suspension arrays and forward-phase protein microarrays

A recombinant mouse interleukin-4 (IL-4) and three different purified rat antimouse IL-4 monoclonal antibodies (Mab) with different clonalities were employed as a model system. This system was used to examine monoclonal antibody effectiveness using both conventional and high-throughput measurement techniques to select antibodies for attaining the most sensitive detection of the recombinant IL-4 through the "sandwich-type" immunoassays. Surface plasmon resonance (SPR) measurements and two high-throughput methods, suspension arrays (also called multiplexed bead arrays) and forward-phase protein microarrays, predicted the same capture (BVD4-1D11) and detection (BVD6-24G2) antibody pair for the most sensitive detection of the recombinant cytokine. By using this antibody pair, we were able to detect as low as 2 pg/mL of IL-4 in buffer solution and 13.5 pg/mL of IL-4 spiked in 100% normal mouse serum with the multiplexed bead arrays. Due to the large amount of material required for SPR measurements, the study suggests that the multiplexed bead arrays and protein microarrays are both suited for the selection of numerous antibodies against the same analyte of interest to meet the need in the areas of systems biology and reproducible clinical diagnostics for better patient care.     

Printing protein arrays from DNA arrays

We describe a method, DNA array to protein array (DAPA), which allows the 'printing' of replicate protein arrays directly from a DNA array template using cell-free protein synthesis. At least 20 copies of a protein array can be obtained from a single DNA array. DAPA eliminates the need for separate protein expression, purification and spotting, and also overcomes the problem of long-term functional storage of surface-bound proteins.     

Reverse-phase protein lysate microarrays for cell signaling analysis

'Reverse-phase' protein lysate microarray (RPA) assays use micro-scale, cell lysate dot blots that are printed to a substrate, followed by quantitative immunochemical protein detection, known to be particularly effective across many samples. Large-scale sample collection is a labor-intensive and time-consuming process; the information yielded from RPA assays, however, provides unique opportunities to experimentally interpret theoretical protein networks quantitatively. When specific antibodies are used, RPA can generate 1,000 times more data points using 10,000 times less sample volume than an ordinary western blot, enabling researchers to monitor quantitative proteomic responses for various time-scale and input-dose gradients simultaneously. Hence, the RPA system can be an excellent method for experimental validation of theoretical protein network models. Besides the initial screening of primary antibodies, collection of several hundreds of sample lysates from 1- to 8-h periods can be completed in approximately 10 d; subsequent RPA printing and signal detection steps require an additional 2-3 d.     

Aptamer-based biosensor arrays for detection and quantification of biological macromolecules

We have developed a chip-based biosensor for multiplex analysis of protein analytes. The biosensor utilizes immobilized DNA and RNA aptamers, selected against several different protein targets, to simultaneously detect and quantify levels of individual proteins in complex biological mixtures. Aptamers were each fluorescently labeled and immobilized on a glass substrate. Fluorescence polarization anisotropy was used for solid- and solution-phase measurements of target protein binding. We show that solid-phase aptamer-protein interactions recapitulate binding interactions seen in solution. Furthermore, we demonstrate specific detection and quantitation of cancer-associated proteins (inosine monophosphate dehydrogenase II, vascular endothelial factor, basic fibroblast growth factor) in the context of human serum and in cellular extracts. It is expected that this technology could speed diagnosis of cancer by enabling direct detection of the expression and modification of proteins closely correlated with disease.     

One-step analysis of protein complexes in microliters of cell lysate

We present 'mix and measure' procedures for the analysis of protein complexes in microliters of crude human and mouse cell lysates using fluorescence correlation and crosscorrelation spectroscopy. We labeled interacting endogenous proteins by indirect immunofluorescence with all primary and secondary reagents added in one step. Especially for the screening of compounds interfering with interactions that depend on signaling-induced posttranslational modifications, the approach represents a major advance over existing protocols.     

Robust estimation of protein expression ratios with lysate microarray technology

MOTIVATION: The protein lysate microarray is a developing proteomic technology for measuring protein expression levels in a large number of biological samples simultaneously. A challenge for accurate quantification is the relatively narrow dynamic range associated with the commonly used chromogenic signal detection system. To facilitate accurate measurement of the relative expression levels, each sample is serially diluted and each diluted version is spotted on a nitrocellulose-coated slide in triplicate. Thus, each sample yields multiple measurements in different dynamic ranges of the detection system. This study aims to develop suitable algorithms that yield accurate representations of the relative expression levels in different samples from multiple data points. RESULTS: We evaluated two algorithms for estimating relative protein expression in different samples on the lysate microarray by means of a cross-validation procedure. For this purpose as well as for quality control we designed a 1440-spot lysate microarray containing 80 identical samples of purified bovine serum albumin, printed in triplicate with six 2-fold dilutions. Our analysis showed that the algorithm based on a robust least squares estimator provided the most accurate quantification of the protein lysate microarray data. We also demonstrated our methods by estimating relative expression levels of p53 and p21 in either p53(+/+) or p53(-/-) HCT116 colon cancer cells after two drug treatments and their combinations on another lysate microarray. AVAILABILITY: http://www.cs.tut.fi/~mirceanc/lysate_array_bioinformatics.htm     

Overcoming protein diversity on arrays

Researchers show that to reliably establish protein interaction networks from microarray data it is necessary to measure saturation binding curves for each arrayed protein and its potential binding partners.     

Affinity-capture reagents for protein arrays

The simultaneous identification and quantitative measurement of the production levels of thousands of different proteins in a biological specimen remains an unachieved goal of modern proteomic research. Advances in the development of microarray-based platforms for highly parallel detection of proteins have therefore received a considerable impulse during the last few years. Here, we review the existing reagents for affinity capture of protein targets, as well as the techniques used for their immobilization on solid supports and methods for the detection of binding events, underlining the problems and the opportunities in this continuously evolving research field.     

Extracts of interferon-treated cells can inhibit reticulocyte lysate protein synthesis.

Rumen bacteria retained methanogenic activity when stored at ?60° under H₂. This activity, which resides in $\text{Methanobacterium ruminantium}$ and $\text{Methanobacterium mobilis}$, is not lost when the cells are broken, as has been suggested. Unlike in $\text{Methanosarcina barkerii}$ and $\text{Methanobacterium M.o.H.}$, in rumen bacteria methanogenic enzymes are not soluble but readily precipitated at 15,000 g. Methane was synthesized from tetrahydrofolate derivatives but at slower rates than from CO₂. From the data, it was not possible to determine if methyl- and methylene tetrahydrofolate were oxidized to CO₂ prior to reduction to CH₄. In room light, CH₃-B₁₂ was reduced to CH₄ non-enzymatically in the presence of protein. When the reactions were carried out in the dark, very little CH₄ was formed from CH₃-B₁₂ by rumen bacterial enzymes. The cell-free particulate fraction did not require added ATP for methanogenesis but showed an absolute requirement for H₂.     

In situ synthesis of protein arrays

In situ or on-chip protein array methods use cell free expression systems to produce proteins directly onto an immobilising surface from co-distributed or pre-arrayed DNA or RNA, enabling protein arrays to be created on demand. These methods address three issues in protein array technology: (i) efficient protein expression and availability, (ii) functional protein immobilisation and purification in a single step and (iii) protein on-chip stability over time. By simultaneously expressing and immobilising many proteins in parallel on the chip surface, the laborious and often costly processes of DNA cloning, expression and separate protein purification are avoided. Recently employed methods reviewed are PISA (protein in situ array) and NAPPA (nucleic acid programmable protein array) from DNA and puromycin-mediated immobilisation from mRNA.     

Effect of parvalbumin and S-100 protein on protein synthesis in rabbit reticulocyte lysate.

The effect of two high affinity Ca+ binding acidic proteins, parvalbumin and S-100 protein on protein synthesis in rabbit reticulocyte lysates (RRL), was investigated. Nuclease-treated RRL, supplemented with yeast mRNA, and 3H-leucine were incubated at 37 degrees C, and incorporation of 3H-leucine into protein was determined for 24 min. At 20 micrograms/100 microliters lysate concentration, both parvalbumin and S-100 protein caused a marked inhibition of protein synthesis compared with the control lysate. At a lower concentration parvalbumin was less inhibitory than histone H1; the effect of S-100 protein was not significant. The combined inhibitory effect of parvalbumin and H1 was not additive probably due to strong interaction between them as was evidenced by the enhanced absorbance of parvalbumin-H1 mixture. Spectrophotometric profiles of parvalbumin-tRNA mixture indicated that, unlike H1, parvalbumin did not inhibit protein synthesis by binding with nucleic acids. These results suggest an important role for parvalbumin in translational regulation.     

In vitro amplification of misfolded prion protein using lysate of cultured cells

Protein misfolding cyclic amplification (PMCA) recapitulates the prion protein (PrP) conversion process under cell-free conditions. PMCA was initially established with brain material and then with further simplified constituents such as partially purified and recombinant PrP. However, availability of brain material from some species or brain material from animals with certain mutations or polymorphisms within the PrP gene is often limited. Moreover, preparation of native PrP from mammalian cells and tissues, as well as recombinant PrP from bacterial cells, involves time-consuming purification steps. To establish a convenient and versatile PMCA procedure unrestricted to the availability of substrate sources, we attempted to conduct PMCA with the lysate of cells that express cellular PrP (PrP(C)). PrP(Sc) was efficiently amplified with lysate of rabbit kidney epithelial RK13 cells stably transfected with the mouse or Syrian hamster PrP gene. Furthermore, PMCA was also successful with lysate of other established cell lines of neuronal or non-neuronal origins. Together with the data showing that the abundance of PrP(C) in cell lysate was a critical factor to drive efficient PrP(Sc) amplification, our results demonstrate that cell lysate in which PrP(C) is present abundantly serves as an excellent substrate source for PMCA.     

Quantitative protein profiling using antibody arrays

Traditional approaches to microarrays rely on direct binding assays where the extent of hybridisation and the signal detected are a measure of the analyte concentration in the experimental sample. This approach, directly imported from the nucleic acid field, may fail if applied to antibody-antigen interactions due to the shortage of characterised antibodies, the significant heterogeneity of antibody affinities, their dependence on the extent of protein modification during labelling and the inherent antibody cross-reactivity. These problems can potentially limit the multiplexing capabilities of protein affinity assays and in many cases rule out quantitative protein profiling using antibody microarrays. A number of approaches aimed at achieving quantitative protein profiling in a multiplex format have been reported recently. Of those reported, the three most promising routes include signal amplification, multicolour detection and competitive displacement approaches to multiplex affinity assays. One in particular, competitive displacement, also overcomes the problems associated with quantitation of affinity interactions and provides the most generic approach to highly parallel affinity assays, including antibody arrays.