Construction and application of a yeast surface-displayed human cDNA library to identify post-translational modification-dependent protein-protein interactions

Although post-translational modifications such as phosphorylation mediate fundamental biological processes within the cell, relatively few methods exist that allow proteome-wide identification of proteins that interact with these modifications. We constructed a yeast surface-displayed human cDNA library and utilized it to identify protein fragments with affinity for phosphorylated peptides derived from the major tyrosine autophosphorylation sites of the epidermal growth factor receptor or focal adhesion kinase. We identified cDNAs encoding the Src homology 2 domains from adapter protein APS, phosphoinositide 3-kinase regulatory subunit 3, SH2B, and tensin, demonstrating the effectiveness of this approach. Our results suggest that large libraries of functional human protein fragments can be efficiently displayed on the yeast surface. In addition to the analysis of post-translational modifications, yeast surface-displayed human cDNA libraries have many potential applications, including identifying targets and defining potential cross-reactive proteins for small molecules or drugs.     

Comprehensive analysis of pathogen-specific antibody response in vivo based on an antigen library displayed on surface of yeast

Host antibody response is a crucial defense against pathogenic infection. Here, we report a novel technique allowing quantitative measurement of polyclonal antibody response in vivo. This involves expression of a combinatorial library of target proteins from a candidate pathogen on the surface of yeast Saccharomyces cerevisiae. After mixing with serum/plasma from infected or immunized subjects, positive yeast clones were isolated via fluorescence-activated cell sorting (FACS). Using this technique, we have studied mouse immunized serum with recombinant hemagglutinin (HA) protein from a human influenza H5N1 strain (A/Anhui/1/2005) and convalescent plasma from an infected human in China. Our technique has identified novel antigenic domains targeted by serum/plasma and allowed calculation of the relative proportion of the antibody response against each domain. We believe such systematic measurement of an antibody response is unprecedented, and applying this method to different pathogens will improve understanding of protective immunity and guide development of vaccines and therapeutics.     

Isolation of novel catalytic antibody clones from combinatorial library displayed on yeast-cell surface

A combinatorial library of the Fab fragment of a catalytic antibody able to hydrolyze a non-bioactive chloramphenicol monoester derivative to produce chloramphenicol was constructed on yeast-cell surface. Interesting clones were selected using fluorescence-activated cell sorting (FACS). When binding affinity to a transition-state analog was detected, evolution of the catalytic antibody was carried out in vitro on yeast-cell surface. A number of variants with enhanced catalytic activity and binding affinity were obtained. The results showed that the improvement of catalytic antibody, which can be performed easily on yeast-cell surface using the cell-surface engineering system, is a good example of the application of protein library construction.     

A panel of candidate tumor antigens in colorectal cancer revealed by the serological selection of a phage displayed cDNA expression library

In the last few years it has been shown that the humoral immune response in cancer patients is a rich source of putative cancer vaccine candidates. To fully explore the complex information present within the Ab repertoire of cancer patients, we have applied a method, serological Ag selection, to molecularly define tumor Ags recognized by the humoral immune response in colorectal cancer (CRC). First, we built a cDNA display library by cloning a cDNA library from CRC cell line HT-29 for expression as a fusion protein with a filamentous phage minor coat protein, pVI. This cDNA display library was then enriched on pooled sera from CRC patients who had undergone active specific immunization with autologous tumor. We identified a panel of 19 clones reactive with the serum pool. Seventeen of 19 (89%) clones showed reactivity with one or more of the eight Ag-reactive sera, conversely six of eight (75%) sera were reactive with at least one of the 19 clones. Sequencing revealed that these 19 clones represented 13 different Ags. A detailed serological analysis of the 13 different Ags showed preferential reactivity to sera of cancer patients for six different Ags. Four of these Ags displayed increased serum reactivity after the active specific immunization procedure. Furthermore, one of the six Ags, a novel Ag homologous to HSPC218, showed restricted expression in normal testis, suggesting that it belongs to the cancer-testis Ag family. Some of the Ags we have identified may be candidates for tumor vaccination, for sero-diagnosis of cancer, as prognostic markers, or as probes for monitoring tumor cell-based vaccination trials.     

A cDNA library functional screening strategy based on fluorescent protein complementation assays to identify novel components of signaling pathways

Progress towards a deeper understanding of cellular biochemical networks demands the development of methods to both identify and validate component proteins of these networks. Here, we describe a cDNA library screening strategy that achieves these aims, based on a protein-fragment complementation assay (PCA) using green fluorescent protein (GFP) as a reporter. The strategy combines a simple cell-based cDNA-screening approach (interactions of a "bait" protein of interest with "prey" cDNA products) with specific functional assays that use the same system and provide initial validation of the cDNA products as being biologically relevant. We applied this strategy to identify novel interacting partners of the protein kinase PKB/Akt. This method provides very general means of identifying and validating genes involved in any cellular process and is particularly designed for identifying enzyme substrates or regulatory proteins for which the enzyme specificity can only be defined by their interactions with other proteins in cells in which the proteins are normally expressed.     

Comprehensive gene expression analysis of the response to straight-chain alcohols in Saccharomyces cerevisiae using cDNA microarray

AIMS: The purpose of this study was to examine the gene expression profiles of yeast Saccharomyces cerevisiae subjected to straight-chain alcohols. METHODS AND RESULTS: Lipophilic alcohols with high log Pow values were more toxic to yeast than those with low log Pow values. Morphological changes after exposure to ethanol, 1-pentanol, 1-octanol were observed, whereas n-pentane as a model hydrocarbon affected the surface of the outer membrane, with little change in organelles. Using cDNA microarrays, quite a few up-regulated gene categories were classified into the category 'cell rescue, defence and virulence' by ethanol, and the category 'energy' and 'metabolism' by 1-pentanol. Meanwhile, the characteristic genes up-regulated by n-pentane were not observed, and the expression profile was distantly related to ethanol, 1-pentanol and 1-octanol. CONCLUSIONS: This study suggests that gene expression profiles at the whole genome level were intimately associated with the cell growth inhibition and morphological changes by straight-chain alcohols with differing log Pow values. SIGNIFICANCE AND IMPACT OF THE STUDY: The study of comprehensive gene expression profiles by cDNA microarrays elucidates the straight-chain alcohol adaptation mechanisms.     

Novel strategy for selection of monoclonal antibodies against highly conserved antigens: phage library panning against ephrin-B2 displayed on yeast

Ephrin-B2 is predominately expressed in endothelium of arterial origin, involved in developmental angiogenesis and neovasculature formation through its interaction with EphB4. Despite its importance in physiology and pathological conditions, it has been challenging to produce monoclonal antibodies against ephrin-B2 due to its high conservation in sequence throughout human and rodents. Using a novel approach for antibody selection by panning a phage library of human antibody against antigens displayed in yeast, we have isolated high affinity antibodies against ephrin-B2. The function of one high affinity binder (named as 'EC8') was manifested in its ability to inhibit ephrin-B2 interaction with EphB4, to cross-react with murine ephrin-B2, and to induce internalization into ephrin-B2 expressing cells. EC8 was also compatible with immunoprecipitation and detection of ephrin-B2 expression in the tissue after standard chemical fixation procedure. Consistent with previous reports on ephrin-B2 induction in some epithelial tumors and tumor-associated vasculatures, EC8 specifically detected ephrin-B2 in tumors as well as the vasculature within and outside of the tumors. We envision that monoclonal antibody developed in this study may be used as a reagent to probe ephrin-B2 distribution in normal as well as in pathological conditions and to antagonize ephrin-B2 interaction with EphB4 for basic science and therapeutic applications.     

Construction and diversification of yeast cell surface displayed libraries by yeast mating: application to the affinity maturation of Fab antibody fragments

Yeast display is a powerful technology for the affinity maturation of human antibody fragments. However, the technology thus far has been limited by the size of antibody libraries that can be generated, as using current transformation protocols libraries of only between 10(6) and 10(7) are typically possible. We have recently shown that Fab antibodies can be displayed on the cell surface of Saccharomyces cerevisiae [van den Beucken, T., Pieters, H., Steukers, M., van der Vaart, M., Ladner, R.C., Hoogenboom, H.R., Hufton, S.E., 2003. Affinity maturation of Fab antibody fragments by fluorescent-activated cell sorting of yeast-displayed libraries. FEBS Lett. 546, 288-294]. This discovery and the knowledge that Fab antibodies are heterodimeric suggest that independent repertoires of heavy chain (HC) and light chain (LC) can be constructed in haploid yeast strains of opposite mating type. These separate repertoires can then be combined by highly efficient yeast mating. Using this approach, we have rapidly generated a naive human Fab yeast display library of over 10(9) clones. In addition, utilizing error-prone polymerase chain reaction, we have diversified Fab sequences and generated combinatorial and hierarchical chain shuffled libraries with complexities of up to 5 x 10(9) clones. These libraries have been selected for higher affinity using a repeating process of mating-driven chain shuffling and flow cytometric sorting.     

Affinity selection of target cells from cell surface displayed libraries: a novel procedure using thermo-responsive magnetic nanoparticles

Biotinylated thermo-responsive magnetic nanoparticles for use in affinity selection from yeast cell surface display libraries were prepared by coating magnetite nanoparticles with a thermo-responsive polymer consisting of N-isopropyl acrylamide and a biotin derivative. These particles showed a reversible transition between flocculation and dispersion at around the lower critical solution temperature of 30 degrees C, above which the flocculated particles--which absorbed a large amount of avidin due to their large surface area--were quickly separable by magnet. The model library was constructed by mixing control yeast cells with target yeast cells co-displaying IgG binding protein (ZZ) and enhanced green fluorescence protein. Biotinylated IgG and avidin were subsequently added to the model library, and target cells were efficiently enriched with the biotinylated magnetic nanoparticles by avidin-biotin sandwich and ZZ-IgG interaction. The few target cells (0.001%) in the model library were enriched by up to 100% in only 5 days by an affinity selection procedure repeated four times. This novel method based on magnetic nanoparticles and a yeast cell surface display system could fulfill a wide range of applications in the analysis of protein-protein interactions and rapid isolation of novel biomolecules.     

Use of signal quality measurements to gain efficiency in the analysis of cDNA microarray datacDNA microarray data

This research provides a new way to measure error in microarray data in order to improve gene expression analysis. Microarray data contains many sources of error. In order to glean information about mRNA expression levels, the true signal must first be segregated from noise. This research focuses on the variation that can be captured at the spot level in cDNA microarray images. Variation at other levels, due to differences at the array, dye, and block levels, can be corrected for by a variety of existing normalization procedures. Two signal quality estimates that capture the reliability of each spot printed on a microarray are described. A parametric estimate of within-spot variance, referred to here as σ²_spot, assumes that pixels follow a normal distribution and are spatially correlated. A non-parametric estimate of error, called the mean square prediction error (MSPE), assumes that spots of high quality possess pixels that are similar to their neighbors. This paper will provide a framework to use either spot quality measure in downstream analysis, specifically as weights in regression models. Using these spot quality estimates as weights can result in greater efficiency, in a statistical sense, when modeling microarray data.     

Protein coadaptation and the design of novel approaches to identify protein-protein interactions

Proteins rarely function in isolation but they form part of complex networks of interactions with other proteins within or among cells. The importance of a particular protein for cell viability is directly dependent upon the number of interactions where it participates and the function it performs: the larger the number of interactions of a protein the greater its functional importance is for the cell. With the advent of genome sequencing and "omics" technologies it became feasible conducting large-scale searches for protein interacting partners. Unfortunately, the accuracy of such analyses has been underwhelming owing to methodological limitations and to the inherent complexity of protein interactions. In addition to these experimental approaches, many computational methods have been developed to identify protein-protein interactions by assuming that interacting proteins coevolve resulting from the coadaptation dynamics between the amino acids of their interacting faces. We review the main technological advances made in the field of interactomics and discuss the feasibility of computational methods to identify protein-protein interactions based on the estimation of coevolution. As proof-of-concept, we present a classical case study: the interactions of cell surface proteins (receptors) and their ligands. Finally, we take this discussion one step forward to include interactions between organisms and species to understand the generation of biological complexity. Development of technologies for accurate detection of protein-protein interactions may shed light on processes that go from the fine-tuning of pathways and metabolic networks to the emergence of biological complexity.     

A novel brassinolide-enhanced gene identified by cDNA microarray is involved in the growth of rice

Brassinosteroids (BRs) are growth-promoting natural substances required for normal plant growth and development. To understand the molecular mechanism of BR action, a cDNA microarray containing 1265 rice genes was analyzed for expression differences in rice lamina joint treated with brassinolide (BL). A novel BL-enhanced gene, designated OsBLE2, was identified and cloned. The full-length cDNA is 3243 bp long, encoding a predicted polypeptide of 761 amino acid residues and nine possible transmembrane regions. OsBLE2 expression was most responsive to BL in the lamina joint and leaf sheath in rice seedlings. Besides, auxin and gibberellins also increased its expression. OsBLE2 expressed more, as revealed by in situ hybridization, in vascular bundles and root primordia, where the cells are actively undergoing division, elongation, and differentiation. Transgenic rice expressing antisense OsBLE2 exhibits various degrees of repressed growth. BL could not enhance its expression in transgenic rice expressing antisense BRI1, a BR receptor, indicating that BR signaling to the enhanced expression of OsBLE2 is through BRI1. BL effect in the d1 mutant rice was much weaker than that in its wild-type control, indicating that heterotrimeric G protein may be a component of BRs signaling. These results suggest that OsBLE2 is involved in BL-regulated growth and development processes in rice.