Next-generation high-density self-assembling functional protein arrays

We developed a high-density self-assembling protein microarray, based on the nucleic acid programmable protein array (NAPPA) concept, to display thousands of proteins that are produced and captured in situ from immobilized cDNA templates. We arrayed up to 1,000 unique human cDNAs and obtained high yields of protein expression and capture with minimal variation and good reproducibility. This method will enable various experimental approaches to study protein function in high throughput.     

Preparation and characterization of a DOTA-lysine-biotin conjugate as an effector molecule for pretargeted radionuclide therapy

Pretargeted radionuclide therapy depends on the establishment of a high concentration of secondary binding sites at a tumor to which low-molecular weight radiolabeled effector molecules can be directed. This study describes the simple synthesis of an effector molecule and its subsequent characterization to determine the extent to which it complied with the ideal requirements of such a compound. (Epsilon)-DOTA-(alpha)-biotinamidolysine (DLB) was synthesized in high yield and purity using conventional SPPS methodology. High radiochemical purities were obtained when labeled with several potentially useful radionuclides. The radiolabeled analogue bound to streptavidin efficiently with a stoichiometry similar to that of native biotin and showed high stability in serum and upon challenge with acid conditions. Biodistribution studies in normal animals showed a rapid rate of clearance from the blood and low retention of radioactivity by normal tissues. This design of effector molecule therefore shows promise for further pretargeted radionuclide therapy studies.     

The ferrireductase paraferritin contains divalent metal transporter as well as mobilferrin

Inorganic iron can be transported into cells in the absence of transferrin. Ferric iron enters cells utilizing an integrin-mobilferrin-paraferritin pathway, whereas ferrous iron uptake is facilitated by divalent metal transporter-1 (DMT-1). Immunoprecipitation studies using antimobilferrin antibody precipitated the previously described large-molecular-weight protein complex named paraferritin. It was previously shown that paraferritin functions as an intracellular ferrireductase, reducing ferric iron to ferrous iron utilizing NADPH as the energy source. It functions in the pathway for the cellular uptake of ferric iron. This multipeptide protein contains a number of active peptides, including the ferric iron binding protein mobilferrin and a flavin monooxygenase. The immunoprecipitates and purified preparations of paraferritin also contained DMT-1. This identifies DMT-1 as one of the peptides constituting the paraferritin complex. Since paraferritin functions to reduce newly transported ferric iron to ferrous iron and DMT-1 can transport ferrous iron, these findings suggest a role for DMT-1 in conveyance of iron from paraferritin to ferrochelatase, the enzyme utilizing ferrous iron for the synthesis of heme in the mitochondrion.     

Emerging tools for real-time label-free detection of interactions on functional protein microarrays

The availability of extensive genomic information and content has spawned an era of high-throughput screening that is generating large sets of functional genomic data. In particular, the need to understand the biochemical wiring within a cell has introduced novel approaches to map the intricate networks of biological interactions arising from the interactions of proteins. The current technologies for assaying protein interactions--yeast two-hybrid and immunoprecipitation with mass spectrometric detection--have met with considerable success. However, the parallel use of these approaches has identified only a small fraction of physiologically relevant interactions among proteins, neglecting all nonprotein interactions, such as with metabolites, lipids, DNA and small molecules. This highlights the need for further development of proteome scale technologies that enable the study of protein function. Here we discuss recent advances in high-throughput technologies for displaying proteins on functional protein microarrays and the real-time label-free detection of interactions using probes of the local index of refraction, carbon nanotubes and nanowires, or microelectromechanical systems cantilevers. The combination of these technologies will facilitate the large-scale study of protein interactions with proteins as well as with other biomolecules.     

Separate pathways for cellular uptake of ferric and ferrous iron

Separate pathways for transport of nontransferrin ferric and ferrous iron into tissue cultured cells were demonstrated. Neither the ferric nor ferrous pathway was shared with either zinc or copper. Manganese shared the ferrous pathway but had no effect on cellular uptake of ferric iron. We postulate that ferric iron was transported into cells via beta(3)-integrin and mobilferrin (IMP), whereas ferrous iron uptake was facilitated by divalent metal transporter-1 (DMT-1; Nramp-2). These conclusions were documented by competitive inhibition studies, utilization of a beta(3)-integrin antibody that blocked uptake of ferric but not ferrous iron, development of an anti-DMT-1 antibody that blocked ferrous iron and manganese uptake but not ferric iron, transfection of DMT-1 DNA into tissue culture cells that showed enhanced uptake of ferrous iron and manganese but neither ferric iron nor zinc, hepatic metal concentrations in mk mice showing decreased iron and manganese but not zinc or copper, and data showing that the addition of reducing agents to tissue culture media altered iron binding to proteins of the IMP and DMT-1 pathways. Although these experiments show ferric and ferrous iron can enter cells via different pathways, they do not indicate which pathway is dominant in humans.     

Use of a Single-Chain Antibody Library for Ovarian Cancer Biomarker Discovery

The discovery of novel early detection biomarkers of disease could offer one of the best approaches to decrease the morbidity and mortality of ovarian and other cancers. We report on the use of a single-chain variable fragment antibody library for screening ovarian serum to find novel biomarkers for the detection of cancer. We alternately panned the library with ovarian cancer and disease-free control sera to make a sublibrary of antibodies that bind proteins differentially expressed in cancer. This sublibrary was printed on antibody microarrays that were incubated with labeled serum from multiple sets of cancer patients and controls. The antibodies that performed best at discriminating disease status were selected, and their cognate antigens were identified using a functional protein microarray. Overexpression of some of these antigens was observed in cancer serum, tumor proximal fluid, and cancer tissue via dot blot and immunohistochemical staining. Thus, our use of recombinant antibody microarrays for unbiased discovery found targets for ovarian cancer detection in multiple sample sets, supporting their further study for disease diagnosis.Despite many advances in the treatment of cancer, early detection and tumor removal remains the best prospect for overcoming disease. Ovarian cancer is an excellent example of the potential prognostic value of early detection because diagnosis at a localized stage has a 5-year survival rate of 93%. However, only 19% of cases are diagnosed at this stage, and by the time the disease has evolved to an advanced stage, the 5-year survival rate drops to 31% (1).Much effort has been expended to find early detection markers of ovarian cancer, and some success has been achieved. Most notable is CA125, the only approved marker for the detection of recurrence of ovarian cancer (2). Other leading targets are mesothelin and HE4, which have been examined by several groups for their efficacy as early detection markers (3–8). Nevertheless, several conditions necessitate the discovery of more specific and sensitive ovarian cancer markers: the heterogeneity of this disease, the ambiguity of its symptoms, its low incidence in the general population, and the low sensitivity and specificity of currently available markers.One of the difficulties in finding markers in blood is the complexity of the plasma/serum proteome, estimated in the tens to hundreds of thousands of proteins, as well as its large range in constituent protein concentrations, which can span 12 orders of magnitude (9). However, along with its easy accessibility, the fact that blood is in contact with virtually every tissue and contains tissue- and tumor-derived proteins makes it a preferred source for disease biomarker discovery.Our previous results (10, 11) and those of others (12–14) using high density, full-length IgG antibody microarrays to validate and discover cancer serum biomarkers demonstrated that this platform is valuable for simultaneously comparing the levels of hundreds of proteins on dozens of serum samples from cancer patients and healthy controls. We confirmed overexpression of CA125, mesothelin, and HE4 in ovarian cancer samples using this high density microarray platform, validating our array methodology for measurement of cancer serum biomarkers and yielding new putative biomarkers for this disease (10, 11).Previously reported approaches are typically limited to a few hundred antibodies. The methodology reported here allows us to exploit the specific advantages of antibodies as high affinity capture reagents to detect differential expression of thousands of tumor biomarkers using a diverse (2 × 10⁸ binding agents) single-chain variable fragment antibody (scFv)¹ library for detection of ovarian cancer markers in serum, tumor cyst fluid, and ascites fluid. Our results build on previous reports of phage display library microarrays to discover autoantibody (15–18) and other protein (12, 19, 20) cancer biomarkers. Our scFv are high affinity capture reagents consisting of the variable regions of human antibody heavy and light chains joined by a flexible linker peptide. These recombinant antibodies are able to recognize a wide variety of antigens, including many previously thought difficult, such as self-antigens and proteins that are not normally immunogenic in animals (21–24). Using a highly diverse recombinant antibody library, one has the ability to overcome the complexity of the serum proteome. It has been calculated that for an immune repertoire to be complete (at least one antibody in the repertoire has reasonable affinity for every epitope possible in nature) it requires a diversity of at least 10⁶ antibodies (25). The reported diversity of our scFv library exceeds this value by 100-fold (21).To enrich for antibodies that differentiate disease status, we performed a selection or panning of the naïve library for proteins that are differentially expressed in cyst fluid, ascites fluid, or serum of cancer patients with respect to healthy serum. We printed this sublibrary on activated hydrogel slides that were queried with three different sets of labeled case and control sera to further select those that discriminate cancer status in a statistically significant manner. Next, we identified some of the targets that bind to the individual scFv using high density nucleic acid programmable protein arrays (NAPPAs) expressing a total of over 7000 proteins. Finally, we validated the effectiveness of the selection process by confirming overexpression of these targets in cancer serum, cyst fluid, and ascites fluid as well as in tumor sections.     

Pollination and pre-dispersal seed predation: net effects on reproduction and inflorescence characteristics in Ipomopsis aggregata

Summary We examined net seed production for the self-incompatible, monocarp, Ipomopsis aggregata, by monitoring pre-pollination seed parasite (Hylemya sp.) oviposition and hummingbird mediated fruit set on 21 plants of variable height. Both pollination and seed predation increased with inflorescence height. Net seed production (incorporating seed predator mortality) also was positively related to height, and this would have been the case if pollination or seed predation were doubled. Although results suggest pomopsis aggregata should be under selective pressure to maximize inflorescence height, generation time and resource limits could result in advantages for inflorescences of intermediate height.