Antibody performance in western blot applications is context-dependent.

An important concern for the use of antibodies in various applications, such as western blot (WB) or immunohistochemistry (IHC), is specificity. This calls for systematic validations using well-designed conditions. Here, we have analyzed 13 000 antibodies using western blot with lysates from human cell lines, tissues, and plasma. Standardized stratification showed that 45% of the antibodies yielded supportive staining, and the rest either no staining (12%) or protein bands of wrong size (43%). A comparative study of WB and IHC showed that the performance of antibodies is application-specific, although a correlation between no WB staining and weak IHC staining could be seen. To investigate the influence of protein abundance on the apparent specificity of the antibody, new WB analyses were performed for 1369 genes that gave unsupportive WBs in the initial screening using cell lysates with overexpressed full-length proteins. Then, more than 82% of the antibodies yielded a specific band corresponding to the full-length protein. Hence, the vast majority of the antibodies (90%) used in this study specifically recognize the target protein when present at sufficiently high levels. This demonstrates the context- and application-dependence of antibody validation and emphasizes that caution is needed when annotating binding reagents as specific or cross-reactive. WB is one of the most commonly used methods for validation of antibodies. Our data implicate that solely using one platform for antibody validation might give misleading information and therefore at least one additional method should be used to verify the achieved data.

Targeted protein pullout from human tissue samples using competitive elution.

One commonly used strategy to gain information on the proteins in a cell is to isolate the proteins of interest by specific binders, often antibodies. Not only the specificity of the capturing antibodies but also the washing and elution conditions are crucial to avoid false-positive protein identifications. Eluting the target protein from the matrix, while avoiding the release of unrelated background proteins, should both provide more correct information on the target protein and its interaction partners, and minimize the effort to perform downstream analyses through the reduced number of eluted proteins. In this study, a novel approach for selective protein pullout is presented. Monospecific antibodies were used to selectively pullout target proteins from a complex biosample. Subsequently, the target proteins were competitively eluted from the affinity media with the recombinant antigen. To deplete the antigen from the eluted sample, IMAC spin columns were utilized to bind the N-terminal His-tag of the antigens. The competitive elution method was applied both to a model system, and for the extraction of a native human target protein. In the model system the recombinant target protein BBC7 was spiked into a protein extract of human liver, whereas an endogenously expressed target protein, cTAGE5, was extracted from the liver extract directly. SDS-PAGE analysis and mass spectrometry confirmed affinity isolation of expected target proteins. More selective elution was obtained using the competitive procedure as compared to elution at low pH. Competitive elution has thus been shown to offer an effective approach for wide-scale pullout experiments where proteins and their interaction partners are to be studied.

A global view of protein expression in human cells, tissues, and organs.

Defining the protein profiles of tissues and organs is critical to understanding the unique characteristics of the various cell types in the human body. In this study, we report on an anatomically comprehensive analysis of 4842 protein profiles in 48 human tissues and 45 human cell lines. A detailed analysis of over 2 million manually annotated, high-resolution, immunohistochemistry-based images showed a high fraction (>65%) of expressed proteins in most cells and tissues, with very few proteins (<2%) detected in any single cell type. Similarly, confocal microscopy in three human cell lines detected expression of more than 70% of the analyzed proteins. Despite this ubiquitous expression, hierarchical clustering analysis, based on global protein expression patterns, shows that the analyzed cells can be still subdivided into groups according to the current concepts of histology and cellular differentiation. This study suggests that tissue specificity is achieved by precise regulation of protein levels in space and time, and that different tissues in the body acquire their unique characteristics by controlling not which proteins are expressed but how much of each is produced.

Tissue profiling of the mammalian central nervous system using human antibody-based proteomics.

A need exists for mapping the protein profiles in the human brain both during normal and disease conditions. Here we studied 800 antibodies generated toward human proteins as part of a Human Protein Atlas program and investigated their suitability for detailed analysis of various levels of a rat brain using immuno-based methods. In this way, the parallel, rather limited analysis of the human brain, restricted to four brain areas (cerebellum, cerebral cortex, hippocampus, and lateral subventricular zone), could be extended in the rat model to 25 selected areas of the brain. Approximately 100 antibodies (12%) revealed a distinct staining pattern and passed validation of specificity using Western blot analysis. These antibodies were applied to coronal sections of the rat brain at 0.7-mm intervals covering the entire brain. We have now produced detailed protein distribution profiles for these antibodies and acquired over 640 images that form the basis of a publicly available portal of an antibody-based Rodent Brain Protein Atlas database (www.proteinatlas.org/rodentbrain). Because of the systematic selection of target genes, the majority of antibodies included in this database are generated against proteins that have not been studied in the brain before. Furthermore optimized tissue processing and colchicine treatment allow a high quality, more extended annotation and detailed analysis of subcellular distributions and protein dynamics.

Evaluation of monospecific antibodies: a comparison study with commercial analogs using immunohistochemistry on tissue microarrays.

Generation of monospecific antibodies (msAbs) (multiepitope) through affinity purification of polyclonal antisera is a plausible strategy for high-throughput production of affinity reagents toward large sets of proteins. These antibodies are generated using readily accessible gene sequence information from publicly available databases. The resulting antibodies have the potential to be used in a variety of assays, probing differentially presented and altered proteins with high sensitivity and specificity. In the present study, 48 msAbs were compared with corresponding commercial analogs. Immunohistochemical staining properties were evaluated on tissue microarrays, representing various normal human tissues from 144 different individuals. MsAbs showed similar immunostaining patterns as compared with corresponding commercial analogs in 44 out of totally 48 (92%) antibody pairs analyzed. Although only few antibody pairs showed major discrepancies, minor dissimilarities were frequently seen. Our results suggest that msAbs are reliable and valuable tools in antibody-based proteomics, enabling analysis of protein expression patterns in cells and tissues. High-throughput strategies employing such antibodies provide a consistent approach in the exploration of the human proteome.

A genecentric Human Protein Atlas for expression profiles based on antibodies.

An attractive path forward in proteomics is to experimentally annotate the human protein complement of the genome in a genecentric manner. Using antibodies, it might be possible to design protein-specific probes for a representative protein from every protein-coding gene and to subsequently use the antibodies for systematical analysis of cellular distribution and subcellular localization of proteins in normal and disease tissues. A new version (4.0) of the Human Protein Atlas has been developed in a genecentric manner with the inclusion of all human genes and splice variants predicted from genome efforts together with a visualization of each protein with characteristics such as predicted membrane regions, signal peptide, and protein domains and new plots showing the uniqueness (sequence similarity) of every fraction of each protein toward all other human proteins. The new version is based on tissue profiles generated from 6120 antibodies with more than five million immunohistochemistry-based images covering 5067 human genes, corresponding to approximately 25% of the human genome. Version 4.0 includes a putative list of members in various protein classes, both functional classes, such as kinases, transcription factors, G-protein-coupled receptors, etc., and project-related classes, such as candidate genes for cancer or cardiovascular diseases. The exact antigen sequence for the internally generated antibodies has also been released together with a visualization of the application-specific validation performed for each antibody, including a protein array assay, Western blot analysis, immunohistochemistry, and, for a large fraction, immunofluorescence-based confocal microscopy. New search functionalities have been added to allow complex queries regarding protein expression profiles, protein classes, and chromosome location. The new version of the protein atlas thus is a resource for many areas of biomedical research, including protein science and biomarker discovery.

A novel affinity protein selection system based on staphylococcal cell surface display and flow cytometry.

Here we describe the first reported use of a Gram-positive bacterial system for the selection of affinity proteins from large combinatorial libraries displayed on the surface of Staphylococcus carnosus. An affibody library of 3 x 10(9) variants, based on a 58 residue domain from staphylococcal protein A, was pre-enriched for binding to human tumor necrosis factor-alpha (TNF-alpha) using one cycle of phage display and thereafter transferred to the staphylococcal host ( approximately 10(6) variants). The staphylococcal-displayed library was subjected to three rounds of flow-cytometric sorting, and the selected clones were screened and ranked by on-cell analysis for binding to TNF-alpha and further characterized using biosensor analysis and circular dichroism spectroscopy. The successful sorting yielded three different high-affinity binders (ranging from 95 pM to 2.2 nM) and constitutes the first selection of a novel affinity protein using Gram-positive bacterial display. The method combines the simplicity of working with a bacterial host with the advantages of displaying recombinant proteins on robust Gram-positive bacteria as well as using powerful flow cytometry in the selection and characterization process.

Simplified characterization through site-specific protease-mediated release of affinity proteins selected by staphylococcal display.

The production of candidate affinity proteins in a soluble form, for downstream characterization, is often a time-consuming step in combinatorial protein engineering methods. Here, a novel approach for efficient production of candidate clones is described based on direct cleavage of the affinity protein from the surface of Staphylococcus carnosus, followed by affinity purification. To find a suitable strategy, three new fusion protein constructs were created, introducing a protease site for specific cleavage and purification tags for affinity chromatography purifications into the staphylococcal display vector. The three modified strains were evaluated in terms of transformation frequency, surface expression level and protease cleavage efficiency. A protocol for efficient affinity purification of protease-released affinity proteins using the introduced fusion-tags was successfully used, and the functionality of protease-treated and purified proteins was verified in a biosensor assay. To evaluate the devised method, a previously selected HER2-specific affibody was produced applying the new principle and was used to analyze HER2 expression on human breast cancer cells.

Evaluation of staphylococcal cell surface display and flow cytometry for postselectional characterization of affinity proteins in combinatorial protein engineering applications.

For efficient generation of high-affinity protein-based binding molecules, fast and reliable downstream characterization platforms are needed. In this work, we have explored the use of staphylococcal cell surface display together with flow cytometry for affinity characterization of candidate affibody molecules directly on the cell surface. A model system comprising three closely related affibody molecules with different affinities for immunoglobulin G and an albumin binding domain with affinity for human serum albumin was used to investigate advantages and differences compared to biosensor technology in a side-by-side manner. Equilibrium dissociation constant (K(D)) determinations as well as dissociation rate analysis were performed using both methods, and the results show that the on-cell determinations give both K(D) and dissociation rate values in a very fast and reproducible manner and that the relative affinities are very similar to the biosensor results. Interestingly, the results also show that there are differences between the absolute affinities determined with the two different technologies, and possible explanations for this are discussed. This work demonstrates the advantages of cell surface display for directed evolution of affinity proteins in terms of fast postselectional, on-cell characterization of candidate clones without the need for subcloning and subsequent protein expression and purification but also demonstrates that it is important to be aware that absolute affinities determined using different methods often vary substantially and that such comparisons therefore could be difficult.

Multiplexed PrEST immunization for high-throughput affinity proteomics.

Monospecific antibodies dfdfdfdf (msAbs) generated through antigen specific purification of polyclonal antisera are valuable tools in proteome analyses. However, proteome wide generation of msAbs would require extensive immunization programs. Therefore, it would be desirable to develop efficient immunization and purification methods to reduce the number of animals needed for such antibody-based research. Here we describe a multiplex immunization strategy for generation of msAbs towards recombinantly produced human protein fragments, denoted PrESTs. Antisera from rabbits immunized with a mixture of two, three, five and up to ten different PrESTs have been purified by a two-step immunoaffinity-based protocol and the efficiency of the purification method was analyzed using a two-color protein array concept. The obtained results showed that almost 80% of the animals immunized with antigens composed of two or three different PrESTs yielded antibodies recognizing all the included PrESTs. Furthermore, the modified two-step purification method effectively eliminated all background binding and produced pure antibody pools against individual PrESTs. This indicates that the multiplexed PrEST immunization strategy described here could become useful for high-throughput antibody-based proteomics initiatives, thus significantly reducing the number of animals needed in addition to providing a more cost-efficient method for production of msAbs.

Towards a human proteome atlas: high-throughput generation of mono-specific antibodies for tissue profiling.

A great need exists for the systematic generation of specific antibodies to explore the human proteome. Here, we show that antibodies specific to human proteins can be generated in a high-throughput manner involving stringent affinity purification using recombinant protein epitope signature tags (PrESTs) as immunogens and affinity-ligands. The specificity of the generated affinity reagents, here called mono-specific antibodies (msAb), were validated with a novel protein microarray assay. The success rate for 464 antibodies generated towards human proteins was more than 90% as judged by the protein array assay. The antibodies were used for parallel profiling of patient biopsies using tissue microarrays generated from 48 human tissues. Comparative analysis with well-characterized monoclonal antibodies showed identical or similar specificity and expression patterns. The results suggest that a comprehensive atlas containing extensive protein expression and subcellular localization data of the human proteome can be generated in an efficient manner with mono-specific antibodies.

Fine affinity discrimination by normalized fluorescence activated cell sorting in staphylococcal surface display.

We have investigated a staphylococcal surface display system for its potential future use as a protein library display system in combinatorial biochemistry. Efficient affinity-based selections require a system capable of fine affinity discrimination of closely related binders to minimize the loss of potentially improved variants. In this study, a significant breakthrough was achieved to avoid biases due to potential cell-to-cell variations in surface expression levels, since it was found that a generic protein tag, present within the displayed recombinant surface proteins on the cells, could be successfully employed to obtain normalization of the target-binding signal. Four mutated variants of a staphylococcal protein A domain with different affinity to human IgG were successfully expressed on the surface of recombinant Staphylococcus carnosus cells. The system was evaluated for affinity-based cell sorting experiments, where cell-displayed protein A domains with an 8-fold difference in target affinity were mixed at a ratio of 1:1000 and sorted using FACS. Enrichment factors around 140-fold were obtained from a single round of sorting under normal library sorting conditions when the top 0.1% fraction having the highest antigen binding to surface expression level ratio was sorted. The results demonstrate that the system would have a potential as a selection system in protein library display applications, and the normalization strategy should indeed make it possible to achieve fine affinity discriminations in future library selections.

Biotechnological applications for surface-engineered bacteria.

Display of heterologous proteins on the surface of micro-organisms, enabled by means of recombinant DNA technology, has become an increasingly popular strategy in microbiology, biotechnology and vaccinology. Both Gram-negative and Gram-positive bacteria have been investigated for potential applications. The present review will describe the most commonly used systems for bacterial display, with a focus on the biotechnology applications. Live bacterial vaccine-delivery vehicles have long been investigated through the surface display of foreign antigens and, recently, 'second-generation' vaccine-delivery vehicles have been generated by the addition of mucosal targeting signals, as a means to increase immune responses. Engineered bacteria have also the potential to act as novel microbial biocatalysts with heterologous enzymes immobilized as surface exposed on the bacterial cell surface. They provide the potential for new types of whole-cell diagnostic devices, since single-chain antibodies and other type of tailor-made binding proteins can be displayed on bacteria. Bacteria with increased binding capacity for certain metal ions can be created, and potential environmental or biosensor applications for such recombinant bacteria as biosorbents are being explored. Certain bacteria have also been employed to display various polypeptide libraries for use as devices in in vitro selection applications. Part of the present review has been devoted to a more in-depth description of a promising Gram-positive display system, i.e. Staphylococcus carnosus, and its applications. The review describes the basic principles of the different bacterial display systems and discusses current uses and possible future trends of these emerging technologies.

Fluorescence-activated cell sorting of specific affibody-displaying staphylococci.

Efficient enrichment of staphylococcal cells displaying specific heterologous affinity ligands on their cell surfaces was demonstrated by using fluorescence-activated cell sorting. Using bacterial surface display of peptide or protein libraries for the purpose of combinatorial protein engineering has previously been investigated by using gram-negative bacteria. Here, the potential for using a gram-positive bacterium was evaluated by employing the well-established surface expression system for Staphylococcus carnosus. Staphylococcus aureus protein A domains with binding specificity to immunoglobulin G or engineered specificity for the G protein of human respiratory syncytial virus were expressed as surface display on S. carnosus cells. The surface accessibility and retained binding specificity of expressed proteins were demonstrated in whole-cell enzyme and flow cytometry assays. Also, affibody-expressing target cells could be sorted essentially quantitatively from a moderate excess of background cells in a single step by using a high-stringency sorting mode. Furthermore, in a simulated library selection experiment, a more-than-25,000-fold enrichment of target cells could be achieved through only two rounds of cell sorting and regrowth. The results obtained indicate that staphylococcal surface display of affibody libraries combined with fluoresence-activated cell sorting might indeed constitute an attractive alternative to existing technology platforms for affinity-based selections.

Engineering of staphylococcal surfaces for biotechnological applications.

Novel surface proteins can be introduced onto bacterial cell surfaces by recombinant means. Here, we describe various applications of two such display systems for the food-grade bacteria Staphylococcus carnosus and Staphylococcus xylosus, respectively. The achievements in the use of such staphylococci as live bacterial vaccine delivery vehicles will be described. Co-display of proteins and peptides with adhesive properties to enable targeting of the bacteria, have significantly improved the vaccine delivery potential. Recently, protective immunity to respiratory syncytial virus (RSV) could be evoked in mice by intranasal immunization using such 'second generation' vaccine delivery systems. Furthermore, antibody fragments and other 'affinity proteins' with capacity to specifically bind a certain protein, e.g. Staphylococcus aureus protein A-based affibodies, have been surface-displayed on staphylococci as initial efforts to create whole-cell diagnostic devices. Surface display of metal-binding peptides, or protein domains into which metal binding properties has been engineered by combinatorial protein engineering, have been exploited to create staphylococcal bioadsorbents for potential environmental or biosensor applications. The use of these staphylococcal surface display systems as alternatives for display of large protein libraries and subsequent affinity selection of relevant binding proteins by fluorescence-activated cell sorting (FACS) will be discussed.

Vector engineering to improve a staphylococcal surface display system.

A previously developed expression system for surface display of heterologous proteins on the surface of Staphylococcus carnosus employs the secretion signals from a Staphylococcus hyicus lipase and the cell wall anchoring part of Staphylococcus aureus protein A (SpA) to achieve surface display of expressed recombinant proteins. The system has been successfully used in various applications but the vector has not been considered genetically stable enough to allow protein library display applications, which would be of obvious interest. A new set of vectors, differing in size and devoid of a phage f1 origin of replication, were constructed and evaluated in terms of bacterial growth characteristics and vector stability. Furthermore, surface expression of a model surface protein was monitored by an enzymatic whole-cell assay and flow cytometry. The engineered expression vectors demonstrated dramatically improved stability and growth properties and two of the novel vectors demonstrated retained high surface density of the displayed model protein. The flow cytometry was found to be a powerful tool for observing the surface density of displayed heterologous proteins, and would thus be a rational strategy for monitoring the optimisation of any surface display system. The implications of these improved display vectors for future protein library applications are discussed.