Noncognate Signals Drive Enhanced Effector CD8+ T Cell Responses through an IFNAR1-Dependent Pathway after Infection with the Prototypic Vaccine, 0ΔNLS, against Herpes Simplex Virus 1.

Previous studies by our group identified a highly efficacious vaccine 0ΔNLS (deficient in the nuclear localization signal of infected cell protein 0) against herpes simplex virus 1 (HSV-1) in an experimental ocular mouse model. However, details regarding fundamental differences in the initial innate and adaptive host immune response were not explored. Here, we present a side-by-side analysis of the primary infection characterizing differences of the host immune response in mice infected with 0ΔNLS versus the parental, GFP105. The results show that local viral infection and replication are controlled more efficiently in mice exposed to 0ΔNLS versus GFP105 but that the clearance of infectious virus is equivalent when the two groups are compared. Moreover, the 0ΔNLS-infected mice displayed enhanced effector CD8+ but not CD4+ T cell responses from the draining lymph nodes at day 7 postinfection measured by gamma interferon (IFN-γ) and tumor necrosis factor alpha production along with changes in cell metabolism. The increased effector function of CD8+ T cells from 0ΔNLS-infected mice was not driven by changes in antigen presentation but lost in the absence of a functional type I IFN pathway. These results are further supported by enhanced local expression of type I IFN and IFN-inducible genes along with increased IL-12 production by CD8α+ dendritic cells in the draining lymph nodes of 0ΔNLS-infected mice compared to the GFP105-infected animals. It was also noted the recall to HSV-1 antigen by CD8+ T cells was elevated in mice infected with HSV-1 0ΔNLS compared to GFP105. Collectively, the results underscore the favorable qualities of HSV-1 0ΔNLS as a candidate vaccine against HSV-1 infection. IMPORTANCE Cytotoxic T lymphocytes (CTLs) play a critical role in the clearance for many viral pathogens including herpes simplex virus 1 (HSV-1). Here, we compared the cellular innate and adaptive immune response in mice infected with an attenuated HSV-1 (0ΔNLS) found to be a highly successful experimental prophylactic vaccine to parental HSV-1 virus. We found that CD8+ T cell effector function is elevated in 0ΔNLS-infected mice through noncognate signals, including interleukin-12 and type I interferon pathways along with changes in CD8+ T cell metabolism, whereas other factors, including cell proliferation, costimulatory molecule expression, and antigen presentation, were dispensable. Thus, an increase in CTL activity established by exposure to HSV-1 0ΔNLS in comparison to parental HSV-1 likely contributes to the efficacy of the vaccine and underscores the nature of the attenuated virus as a vaccine candidate for HSV-1 infection.

Digital Data Storage Using DNA Nanostructures and Solid-State Nanopores.

Solid-state nanopores are powerful tools for reading the three-dimensional shape of molecules, allowing for the translation of molecular structure information into electric signals. Here, we show a high-resolution integrated nanopore system for identifying DNA nanostructures that has the capability of distinguishing attached short DNA hairpins with only a stem length difference of 8 bp along a DNA double strand named the DNA carrier. Using our platform, we can read up to 112 DNA hairpins with a separating distance of 114 bp attached on a DNA carrier that carries digital information. Our encoding strategy allows for the creation of a library of molecules with a size of up to 5 × 1033 (2112) that is only built from a few hundred types of base molecules for data storage and has the potential to be extended by linking multiple DNA carriers. Our platform provides a nanopore- and DNA nanostructure-based data storage method with convenient access and the potential for miniature-scale integration.

Identification and quantification of proteins differentially secreted by a pair of normal and malignant breast-cancer cell lines.

Secreted proteins play a pivotal role in cellular functions. To better understand malignant behavior, we adapted stable isotopic labeling with amino acids in cell culture technology to identify and quantify proteins differentially released into the extracellular media by a pair of normal and malignant breast-cancer cell lines. Approximately 380 non-redundant proteins were quantified in serum-free media. Of the assigned proteins, 62% are classified secreted in protein databases and an additional 25% are designated secreted in the literature. A number of growth factors were found differentially regulated. Tumor necrosis factor, pigment epithelial-differentiating factor and stem-cell growth factor precursor showed decreased expression in breast-cancer cell line, whereas Inhibin beta and macrophage migration inhibitory factor show increased expression. Interestingly, protease inhibitors, including plasma protease (C1) inhibitor, PZP precursor, and SerpinE2 were significantly down-regulated in cancer cell line as were angiostatic factors from extracellular matrix (ECM) such as endorepillin. Further, the C-terminal fragment of type XVIII collagen, endostatin, a potent angiostatic factor, was down-regulated as well whereas extracellular collagens and osteoblast-specific factor 2 (OSF-2), were up-regulated. Differential expression and secretion of SerpinE2 and OSF-2 were confirmed using Western blotting. These results corroborate models of invasive tumors sustained by elaborate coordination of stromal cells via chemokines and growth factors, while protease inhibitors remodel the ECM to stimulate angiogenesis.

Small molecule protein interaction profiling with functional protein microarrays.

Small molecules possess the ability to interact with proteins and perturb their specific functions, a property that has been exploited for numerous research applications and to produce therapeutic agents in disease treatment. However, commonly utilized mass spectrometry-based approaches for identifying the target proteins for a small molecule have a number of limitations, particularly in terms of throughput and time and resource consumption. In addition, current technologies lack a mechanism to broadly assess the selectivity profile of the small molecule, which may be important for understanding off-target effects of the compound. Protein microarray technology has emerged as a powerful tool in the systems biology arsenal. Here, we describe how protein microarray technology can be applied to the study of small molecule protein interactions, with sensitivity sufficient to detect interactions with low muM affinity. These assays are highly reproducible, sensitive, and scalable, and provide an enabling technology for small molecule selectivity profiling in the context of drug development.

Quantitative comparison of IMAC and TiO2 surfaces used in the study of regulated, dynamic protein phosphorylation.

Protein phosphorylation regulates many aspects of cellular function, including cell proliferation, migration, and signal transduction. An efficient strategy to isolate phosphopeptides from a pool of unphosphorylated peptides is essential to global characterization using mass spectrometry. We describe an approach employing isotope tagging reagents for relative and absolute quantification (iTRAQ) labeling to compare quantitatively commercial and prototypal immobilized metal affinity chelate (IMAC) and metal oxide resins. Results indicate a prototype iron chelate resin coupled to magnetic beads outperforms either the Ga(3+)-coupled analog, Fe(3+), or Ga(3+)-loaded, iminodiacetic acid (IDA)-coated magnetic particles, Ga(3+)-loaded Captivate beads, Fe(3+)-loaded Poros 20MC, or zirconium-coated ProteoExtract magnetic beads. For example, compared with Poros 20MC, the magnetic metal chelate (MMC) studied here improved phosphopeptide recovery by 20% and exhibited 60% less contamination from unphosphorylated peptides. With respect to efficiency and contamination, MMC performed as well as prototypal magnetic metal oxide-coated (TiO(2)) beads (MMO) or TiO(2) chromatographic spheres, even if the latter were used with 2,5-dihydroxybenzoic acid (DHB) procedures. Thus far, the sensitivity of the new prototypes reaches 50 fmol, which is comparable to TiO(2) spheres. In an exploration of natural proteomes, tryptic (phospho)peptides captured from stable isotopic labeling with amino acids in cell culture (SILAC)-labeled immunocomplexes following EGF-treatment of 5 x 10(7) HeLa cells were sufficient to quantify stimulated response of over 60 proteins and identify 20 specific phosphorylation sites.

A critical role for cortactin phosphorylation by Abl-family kinases in PDGF-induced dorsal-wave formation.

Proper regulation of cell morphogenesis and migration by adhesion and growth-factor receptors requires Abl-family tyrosine kinases [1-3]. Several substrates of Abl-family kinase have been identified, but they are unlikely to mediate all of the downstream actions of these kinases on cytoskeletal structure. We used a human protein microarray to identify the actin-regulatory protein cortactin as a novel substrate of the Abl and Abl-related gene (Arg) nonreceptor tyrosine kinases. Cortactin stimulates cell motility [4-6], and its upregulation in several cancers correlates with poor prognosis [7]. Even though cortactin can be tyrosine phosphorylated by Src-family kinases in vitro [8], we show that Abl and Arg are more adept at binding and phosphorylating cortactin. Importantly, we demonstrate that platelet-derived growth-factor (PDGF)-induced cortactin phosphorylation on three tyrosine residues requires Abl or Arg. Cortactin triggers F-actin-dependent dorsal waves in fibroblasts after PDGF treatment and thus results in actin reorganization and lamellipodial protrusion [9]. We provide evidence that Abl/Arg-mediated phosphorylation of cortactin is required for this PDGF-induced dorsal-wave response. Our results reveal that Abl-family kinases target cortactin as an effector of cytoskeletal rearrangements in response to PDGF.

Identification of small molecule targets on functional protein microarrays.

Small molecules, such as metabolites and hormones, interact with proteins to regulate numerous biological pathways, which are often aberrant in disease. Small molecule drugs have been successfully exploited to specifically perturb such processes and thereby, decrease and even eliminate disease progression. Although there are compelling reasons to fully characterize interactions of small molecules with all proteins from an organism for which an intended drug regimen is planned, currently available technologies are not yet up to this task. High-content functional protein microarrays, containing hundreds to thousands of proteins, are new tools that show great potential for meeting this need. In this chapter, we review examples and methods for profiling small molecules on high-content functional protein arrays and discuss considerations for troubleshooting.

A pooling-deconvolution strategy for biological network elucidation.

The generation of large-scale data sets is a fundamental requirement of systems biology. But despite recent advances, generation of such high-coverage data remains a major challenge. We developed a pooling-deconvolution strategy that can dramatically decrease the effort required. This strategy, pooling with imaginary tags followed by deconvolution (PI-deconvolution), allows the screening of 2(n) probe proteins (baits) in 2 x n pools, with n replicates for each bait. Deconvolution of baits with their binding partners (preys) can be achieved by reading the prey's profile from the 2 x n experiments. We validated this strategy for protein-protein interaction mapping using both proteome microarrays and a yeast two-hybrid array, demonstrating that PI-deconvolution can be used to identify interactions accurately with fewer experiments and better coverage. We also show that PI-deconvolution can be used to identify protein-small molecule interactions inferred from profiling the yeast deletion collection. PI-deconvolution should be applicable to a wide range of library-against-library approaches and can also be used to optimize array designs.

Global analysis of protein phosphorylation in yeast.

Protein phosphorylation is estimated to affect 30% of the proteome and is a major regulatory mechanism that controls many basic cellular processes. Until recently, our biochemical understanding of protein phosphorylation on a global scale has been extremely limited; only one half of the yeast kinases have known in vivo substrates and the phosphorylating kinase is known for less than 160 phosphoproteins. Here we describe, with the use of proteome chip technology, the in vitro substrates recognized by most yeast protein kinases: we identified over 4,000 phosphorylation events involving 1,325 different proteins. These substrates represent a broad spectrum of different biochemical functions and cellular roles. Distinct sets of substrates were recognized by each protein kinase, including closely related kinases of the protein kinase A family and four cyclin-dependent kinases that vary only in their cyclin subunits. Although many substrates reside in the same cellular compartment or belong to the same functional category as their phosphorylating kinase, many others do not, indicating possible new roles for several kinases. Furthermore, integration of the phosphorylation results with protein-protein interaction and transcription factor binding data revealed novel regulatory modules. Our phosphorylation results have been assembled into a first-generation phosphorylation map for yeast. Because many yeast proteins and pathways are conserved, these results will provide insights into the mechanisms and roles of protein phosphorylation in many eukaryotes.

Protein microarray-based screening of antibody specificity.

The increased use of antibodies as therapeutics, as well as the growing demand for large numbers of antibodies for high-throughput protein analyses, has been accompanied by a need for more specific antibodies. An array containing every protein for the relevant organism represents the ideal format for an assay to test antibody specificity since it allows the simultaneous screening of thousands of proteins in relatively normalized quantities. Indeed, the use of a yeast proleome array to profile the specificity of several antibodies directed against yeast proteins has recently been described. In this chapter, we present a detailed description of the methods used to probe protein arrays with antibodies as well as the technical issues to consider when carrying out such experiments.

Functional protein microarrays: just how functional are they?

Arrays of immobilized proteins have been developed for the discovery and characterization of protein functions ranging from molecular recognition to enzymatic activity. The success of these applications is highly dependent upon the maintenance of protein structure and function while in an immobilized state - a largely untested hypothesis. However, the immobilization of functional proteins is not without precedent. Active enzymes have been successfully immobilized for industrial applications for several decades. Furthermore, a survey of recent protein microarray literature reveals that an even wider range of proteins can maintain 'proper' function while immobilized. These reports help to validate the functionality of so-called functional protein microarrays.

Protein microarrays: a new tool for profiling antibody cross-reactivity.

Antibody cross-reactivity can compromise interpretation of experiments and derail therapeutic antibody development. Standard techniques such as immunohistochemistry or Western analysis provide important but often inadequate approaches to assess antibody specificity. Protein microarrays are providing a new approach to rapidly characterize antibody cross-reactivity against 1,000s of proteins simultaneously. This review will focus on reported examples of antibody cross-reactivity, methods used to characterize them, and the recent development and use of protein microarrays for assessing antibody specificity.

Development of functional protein microarrays for drug discovery: progress and challenges.

Functional protein microarrays promise new approaches to address longstanding challenges in drug discovery and development, with applications ranging from target identification to clinical trial design. However, their widespread adoption will be contingent upon a robust ability to develop and manufacture arrays in support of these applications. This review will address the major areas of relevance to the development of functional protein microarrays; protein content, surface chemistry, manufacture and assay development. Successful development will empower multiple drug research applications, help fill future HTS pipelines and guide next generation combinatorial chemistry efforts.

Functional protein microarrays: ripe for discovery.

The manufacture and use of protein microarrays with correctly folded and functional content presents significant challenges. Despite this, the feasibility and utility of such undertakings are now clear, and exciting progress has recently been demonstrated in the areas of content generation, printing strategies and protein immobilization. More importantly, we are now beginning to enjoy the fruits of these efforts as functional protein microarrays are being increasingly employed for biological discovery purposes. Recent examples of this include the characterization of autoantibody responses, antibody specificity profiling, protein-protein domain interaction profiling and a comprehensive characterization of coiled-coil interactions. The best, however, is yet to come.

Analyzing antibody specificity with whole proteome microarrays.

Although approximately 10,000 antibodies are available from commercial sources, antibody reagents are still unavailable for most proteins. Furthermore, new applications such as antibody arrays and monoclonal antibody therapeutics have increased the demand for more specific antibodies to reduce cross-reactivity and side effects. An array containing every protein for the relevant organism represents the ideal format for an assay to test antibody specificity, because it allows the simultaneous screening of thousands of proteins for possible cross-reactivity. As an initial test of this approach, we screened 11 polyclonal and monoclonal antibodies to approximately 5,000 different yeast proteins deposited on a glass slide and found that, in addition to recognizing their cognate proteins, the antibodies cross-reacted with other yeast proteins to varying degrees. Some of the interactions of the antibodies with noncognate proteins could be deduced by alignment of the primary amino acid sequences of the antigens and cross-reactive proteins; however, these interactions could not be predicted a priori. Our findings show that proteome array technology has potential to improve antibody design and selection for applications in both medicine and research.

Microarrays to characterize protein interactions on a whole-proteome scale.

Protein microarrays contain a defined set of proteins spotted and analyzed at high density, and can be generally classified into two categories; protein profiling arrays and functional protein arrays. Functional protein arrays can be made up of any type of protein, and therefore have a diverse set of useful applications. Advantages of these arrays include low reagent consumption, rapid interpretation of results, and the ability to easily control experimental conditions. The ultimate form of a functional protein array consists of all of the proteins encoded by the genome of an organism; such an array would be the whole proteome equivalent of the whole genome DNA arrays that are now available. While proteome microarrays may not have reached the stage of maturity of DNA microarrays, recent developments have shown that many of the barriers holding back the technology can be overcome. Arrays of this type have already been used to rapidly screen large numbers of proteins simultaneously for biochemical activities, protein-protein interactions, protein-lipid interactions, protein-nucleic acid interactions, and protein-small molecule interactions. Eventually, functional protein arrays will be used to facilitate various steps in the drug discovery and early development processes that are currently bottlenecks in the drug development continuum.

Practical applications of rolling circle amplification of DNA templates.

Since its recent implementation at one of the world's largest high-throughput sequencing centers, the utility of MP-RCA for DNA sequencing has been thoroughly validated. However, applications of this technology extend far beyond DNA sequencing. While many of these applications have been explored in this chapter, the future will undoubtedly add to this growing list.