Determination of Relative Protein Abundance by Internally Normalized Ratio Algorithm with Antibody Arrays (original) (raw)
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Antibody Array Analysis with Label-based Detection and Resolution of Protein Size
Molecular & Cellular Proteomics, 2008
Elements from DNA microarray analysis, such as sample labeling and micro-spotting of capture reagents, have been successfully adapted to multiplex measurements of soluble cytokines. Application in cell biology is hampered by the lack of mono-specific antibodies and the fact that many proteins occur in complexes. Here, we incorporated a principle from Western blotting and resolved protein size as an additional parameter. Proteins from different cellular compartments were labeled and separated by size exclusion chromatography into 20 fractions. All were analyzed with replicate antibody arrays. The elution profiles of all antibody targets were compiled to color maps that resemble Western blots with bands of antibody reactivity across the size separation range (670 -10 kDa). A new solid phase designed for processing in microwell plates was developed to handle the large number of samples. Antibodies were bound to protein G-coupled microspheres surface-labeled with 300 combinations of four fluorescent dyes. Fluorescence from particle color codes and the protein label were measured by high-speed flow cytometry. Cytoplasmic protein kinases were detected as bands near predictable elution points. For proteins with atypical elution characteristics or multiple contexts, two or more antibodies were used as internal references of specificity. Membrane proteins eluted near the void volume, and additional bands corresponding to intracellular forms were detected for several targets. Elution profiles of cyclin-dependent kinases (cdks), cyclins, and cyclindependent kinase inhibitors, were compatible with their occurrence in complexes that vary with the cell cycle phase and subcellular localization. A two-dimensional platform circumvents the need for mono-specific capture antibodies and extends the utility of antibody array analysis to studies of protein complexes. Molecular & Cellular Proteomics 8: 245-257, 2009.
"BACKGROUND: Mass spectrometric assays could potentially replace protein immunoassays in many applications. Previous studies have demonstrated the utility of multiple-reaction monitoring-mass spectrometry (MRM-MS) for the quantification of proteins in biological samples, and many examples of the accuracy of these approaches to quantify supplemented analytes have been reported. However, a direct comparison of multiplexed assays that use MRM-MS with established immunoassays to measure endogenous proteins has not been reported. METHODS: We purified HDL from the plasma of 30 human donors and used label-free shotgun proteomics approaches to analyze each sample. We then developed 2 different isotope-dilution MRM-MS 6-plex assays (for apoliporoteins A-I, C-II, C-III, E, B, and J): 1 assay used stable isotope-labeled peptides and the other used stable isotope-labeled apolipoprotein A-I (an abundant HDL protein) as an internal standard to control for matrix effects and mass spectrometer performance. The shotgun and MRM-MS assays were then compared with commercially available immunoassays for each of the 6 analytes. RESULTS: Relative quantification by shotgun proteomics approaches correlated poorly with the 6 protein immunoassays. In contrast, the isotope dilution MRM-MS approaches showed correlations with immunoassays of r = 0.61-0.96. The MRM-MS approaches had acceptable reproducibility (<13% CV) and linearity (r ≥0.99). Strikingly, a single protein internal standard applied to all proteins performed as well as multiple protein-specific peptide internal standards. CONCLUSIONS: Because peak area ratios measured in multiplexed MRM-MS assays correlate well with immunochemical measurements and have acceptable operating characteristics, we propose that MRM-MS could be used to replace immunoassays in a variety of settings."
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In proteomics, it is essential to quantify proteins in absolute terms if we wish compare results among studies and integrate high-throughput biological data into genome-scale metabolic models. While labeling target peptides with stable isotopes allows protein abundance to be accurately quantified, the utility of this technique is constrained by the low number of quantifiable proteins that it yields. Recently, label-free shotgun proteomics has become the “gold standard” for carrying out global assessments of biological samples containing thousands of proteins. However, this tool must be further improved if we wish to accurately quantify absolute levels of proteins. Here, we used different label-free quantification techniques to estimate absolute protein abundance in the model yeast Saccharomyces cerevisiae. More specifically, we evaluated the performance of seven different quantification methods, based either on spectral counting (SC) or extracted-ion chromatogram (XIC), which were a...
Clinical Chemistry, 2008
Background: The concurrent detection and quantification of analytes that vary widely in concentration present a principal problem in multiplexed assay systems. Combining competitive and sandwich immunoassays permits coverage of a wide concentration range, and both highly abundant molecules and analytes present in low concentration can be quantified within the same assay. Methods: The use of different fluorescence readout channels allows the parallel use of a competitive system and a sandwich configuration. The 2 generated assay signals are combined and used to calculate the amount of analyte. The measurement range can be adjusted by varying the competitor concentration, and an extension of the assay system’s dynamic range is possible. Results: We implemented the method in a planar protein microarray–based autoimmune assay to detect autoantibodies against 13 autoantigens and to measure the concentration of a highly abundant protein, total human IgG, in one assay. Our results for auto...
2004
Background: Quantitative proteomics is an emerging field that encompasses multiplexed measurement of many known proteins in groups of experimental samples in order to identify differences between groups. Antibody arrays are a novel technology that is increasingly being used for quantitative proteomics studies due to highly multiplexed content, scalability, matrix flexibility and economy of sample consumption. Key applications of antibody arrays in quantitative proteomics studies are identification of novel diagnostic assays, biomarker discovery in trials of new drugs, and validation of qualitative proteomics discoveries. These applications require performance benchmarking, standardization and specification.
A Multistep Protein Lysate Array Quantification Method and its Statistical Properties
Biometrics, 2011
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.
Multiplexed immuno-precipitation with 1725 commercially available antibodies to cellular proteins
Proteomics, 2011
Antibody array analysis of complex samples requires capture reagents with exceptional specificity. The frequency of antibodies with label-based detection may be as low as 5%. Here, however, we show that as many as 25% of commercially available antibodies are useful when biotinylated cellular proteins are fractionated by size exclusion chromatography (SEC) first. A microsphere multiplex with 1725 antibodies to cellular proteins was added to 24 SEC fractions, labelled with streptavidin and analyzed by flow cytometry (microsphere-based affinity proteomics, MAP) The SEC-MAP approach resolved different targets captured by each antibody as reactivity peaks across the separation range of the SEC column (10-670kDa). Complex reactivity profiles demonstrated that most antibodies bound more than one target. However, specific binding was readily detected as reactivity peaks common for different antibodies to the same protein. We optimized sample preparation and found that aminereactive biotin rarely inhibited antibody binding when the biotin to lysine ratio was kept below 1:1 during labelling. Moreover, several epitopes that were inaccessible to antibodies in native proteins were unmasked after heat denaturation with 0.1% of SDS. The SEC-MAP format should allow researchers to build multiplexed assays with antibodies purchased for use in e.g. Western blotting.
The Plant journal : for cell and molecular biology, 2017
Measuring changes in protein or organelle abundance in the cell is an essential, but challenging aspect of cell biology. Frequently-used methods for determining organelle abundance typically rely on detection of a very few marker proteins, so are unsatisfactory. In silico estimates of protein abundances from publicly available protein spectra can provide useful standard abundance values but contain only data from tissue proteomes, and are not coupled to organelle localization data. A new protein abundance score, the Normalized Protein Abundance Scale (NPAS), expands on the number of scored proteins and the scoring accuracy of lower-abundance proteins in Arabidopsis. NPAS was combined with subcellular protein localization data, facilitating quantitative estimations of organelle abundance during routine experimental procedures. A suite of targeted proteomics markers for subcellular compartment markers was developed, enabling independent verification of in silico estimates for relative...
Molecular & Cellular Proteomics, 2012
DNA microarrays were rapidly scaled up from 256 to 6.5 million targets, and although antibody microarrays were proposed earlier, sensitive multiplex sandwich assays have only been scaled up to a few tens of targets. Cross-reactivity, arising because detection antibodies are mixed, is a known weakness of multiplex sandwich assays that is mitigated by lengthy optimization. Here, we introduce (1) vulnerability as a metric for assays. The vulnerability of multiplex sandwich assays to cross-reactivity increases quadratically with the number of targets, and together with experimental results, substantiates that scaling up of multiplex sandwich assays is unfeasible. We propose (2) a novel concept for multiplexing without mixing named antibody colocalization microarray (ACM). In ACMs, both capture and detection antibodies are physically colocalized by spotting to the same two-dimensional coordinate. Following spotting of the capture antibodies, the chip is removed from the arrayer, incubated with the sample, placed back onto the arrayer and then spotted with the detection antibodies. ACMs with up to 50 targets were produced, along with a binding curve for each protein. The ACM was validated by comparing it to ELISA and to a small-scale, conventional multiplex sandwich assay (MSA). Using ACMs, proteins in the serum of breast cancer patients and healthy controls were quantified, and six candidate biomarkers identified. Our results indicate that ACMs are sensitive, robust, and scalable.