Use of a peptide mimotope to guide the humanization of MRK-16, an anti-P-glycoprotein monoclonal antibody.

A mimotope-guided strategy for engineering antibodies directed against orphan targets or antigens that are difficult to purify was developed and used to humanize the murine MRK-16 monoclonal antibody (mAb). MRK-16 recognizes a conformational epitope of a 170-kDa membrane protein, termed P-glycoprotein (P-gp). Elevated expression of P-gp on tumor cells is associated with resistance to cytotoxic drugs, a major obstacle in chemotherapy. Murine MRK-16 was used to enrich and screen a phage-displayed peptide library to identify reactive mimotopes. One peptide, termed ALR1, was enriched to a greater extent than others and subsequently was expressed as a fusion protein with glutathione S-transferase. ALR1 fusion protein bound MRK-16 specifically and inhibited binding of MRK-16 to cells expressing elevated levels of P-gp. To humanize MRK-16, the murine complementarity determining regions were grafted onto homologous human heavy and light chain variable region frameworks. Framework residues that differed between the murine MRK-16 and the homologous human templates were analyzed and subsequently, five framework positions potentially important for maintaining the specificity and affinity of MRK-16 were identified. A combinatorial library consisting of 32 variants encoding all possible combinations of murine and human residues at the five differing framework positions was expressed in a phage system. In the absence of purified P-gp, ALR1 fusion protein was used as surrogate antigen to screen the antibody library to identify the framework combination that most preserved the binding activity of the mAb. On the basis of the initial screening against the mimotope four antibody variants were selected for further characterization. The binding affinity of these variants for the ALR1 fusion protein correlated with their binding to cells expressing elevated levels of P-gp. Thus, peptide mimotopes which can be identified for virtually any antibody including those that recognize conformational or carbohydrate epitopes, can serve as antigen templates for antibody engineering.     

Humanization of a murine monoclonal antibody by simultaneous optimization of framework and CDR residues.

Optimal protein function often depends on co-operative interactions between amino acid residues distant in the protein primary sequence yet spatially near one another following protein folding. For example, antibody affinity is influenced by interactions of framework residues with complementarity-determining region (CDR) residues. However, despite the abundance of antibody structural information and computational tools the humanization of rodent antibodies for clinical use often results in a significant loss of affinity. To date, antibody engineering efforts have focused either on optimizing CDR residues involved in antigen binding or on optimizing antibody framework residues that serve critical roles in preserving the conformation of CDRs. In the present study a new approach which permits the rapid identification of co-operatively interacting framework and CDR residues was used to simultaneously humanize and optimize a murine antibody directed against CD40. Specifically, a combinatorial library that examined eight potentially important framework positions concomitantly with focused CDR libraries consisting of variants containing random single amino acid mutations in the third CDR of the heavy and light chains was expressed. Multiple anti-CD40 Fab variants containing as few as one murine framework residue and displaying up to approximately 500-fold higher affinity than the initial chimeric Fab were identified. The higher affinity humanized variants demonstrated a co-operative interaction between light chain framework residue Y49 and heavy chain CDR3 residue R/K101 (coupling energy, DeltaGI=0.9 kcal/mol). Screening of combinatorial framework-CDR libraries permits identification of monoclonal antibodies (mAb) with structures optimized for function, including instances in which the antigen induces conformational changes in the mAb. Moreover, the enhanced humanized variants contain fewer murine framework residues and could not be identified by sequential in vitro humanization and affinity muturation strategies. This approach to identifying co-operatively interacting residues is not restricted to antibody-antigen interactions and consequently, may be used broadly to gain insight into protein structure-function relationships, including proteins that serve as catalysts.     

Antibody engineering by codon-based mutagenesis in a filamentous phage vector system.

A novel codon-based mutagenesis procedure is described that allows rapid and efficient modification of antibody amino acid sequences expressed as F(ab) fragments in M13. The procedure succeeded in generating a library of mutations in the complementarity-determining regions of chimeric L6, an antibody against a tumor-associated Ag. A set of anti-Id antibodies (anti-Id 1, 3, and 7) that bind near the L6 Ag-binding site served as model Ag. The goal was to select mutant antibody sequences that altered the L6 reactivity with the anti-Id in subtle ways, i.e., to eliminate the binding to one anti-Id while preserving other reactivities or to identify mutants with increased binding. A high frequency of variant M13 phage clones exhibiting altered specificity for the anti-Id were identified. Codon-based mutagenesis in conjunction with the M13 antibody expression and screening system should provide an efficient and general approach for redirecting the specificity and potentially improving the affinity of antibodies in vitro.     

Preliminary x-ray studies of the interaction of salmon sperm DNA with spermine

The interaction of spermine with salmon sperm DNA was studied by X-ray diffraction methods. In the fibers of the complex, DNA was in the B-configuration with ten nucleotide pairs per turn (34 Å) of the helix at 92% or higher relative humidity, while, at 75% and lower relative humidity, it was at least partly in the A-configuration, which was not observed in a similar experiment by Suwalsky et al. (1969) with calf thymus DNA. The A to B transition of the complex fibers was reversible.     

Accurate prediction of NAGNAG alternative splicing

Alternative splicing (AS) involving NAGNAG tandem acceptors is an evolutionarily widespread class of AS. Recent predictions of alternative acceptor usage reported better results for acceptors separated by larger distances, than for NAGNAGs. To improve the latter, we aimed at the use of Bayesian networks (BN), and extensive experimental validation of the predictions. Using carefully constructed training and test datasets, a balanced sensitivity and specificity of ≥92% was achieved. A BN trained on the combined dataset was then used to make predictions, and 81% (38/47) of the experimentally tested predictions were verified. Using a BN learned on human data on six other genomes, we show that while the performance for the vertebrate genomes matches that achieved on human data, there is a slight drop for Drosophila and worm. Lastly, using the prediction accuracy according to experimental validation, we estimate the number of yet undiscovered alternative NAGNAGs. State of the art classifiers can produce highly accurate prediction of AS at NAGNAGs, indicating that we have identified the major features of the ‘NAGNAG-splicing code’ within the splice site and its immediate neighborhood. Our results suggest that the mechanism behind NAGNAG AS is simple, stochastic, and conserved among vertebrates and beyond.     

Variability and diversity of nasopharyngeal microbiota in children: a metagenomic analysis

The nasopharynx is the ecological niche for many commensal bacteria and for potential respiratory or invasive pathogens like Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis. Disturbance of a balanced nasopharyngeal (NP) microbiome might be involved in the onset of symptomatic infections with these pathogens, which occurs primarily in fall and winter. It is unknown whether seasonal infection patterns are associated with concomitant changes in NP microbiota. As young children are generally prone to respiratory and invasive infections, we characterized the NP microbiota of 96 healthy children by barcoded pyrosequencing of the V5-V6 hypervariable region of the 16S-rRNA gene, and compared microbiota composition between children sampled in winter/fall with children sampled in spring. The approximately 1,000,000 sequences generated represented 13 taxonomic phyla and approximately 250 species-level phyla types (OTUs). The 5 most predominant phyla were Proteobacteria (64%), Firmicutes (21%), Bacteroidetes (11%), Actinobacteria (3%) and Fusobacteria (1,4%) with Moraxella, Haemophilus, Streptococcus, Flavobacteria, Dolosigranulum, Corynebacterium and Neisseria as predominant genera. The inter-individual variability was that high that on OTU level a core microbiome could not be defined. Microbiota profiles varied strongly with season, with in fall/winter a predominance of Proteobacteria (relative abundance (% of all sequences): 75% versus 51% in spring) and Fusobacteria (absolute abundance (% of children): 14% versus 2% in spring), and in spring a predominance of Bacteroidetes (relative abundance: 19% versus 3% in fall/winter, absolute abundance: 91% versus 54% in fall/winter), and Firmicutes. The latter increase is mainly due to (Brevi)bacillus and Lactobacillus species (absolute abundance: 96% versus 10% in fall/winter) which are like Bacteroidetes species generally related to healthy ecosystems. The observed seasonal effects could not be attributed to recent antibiotics or viral co-infection.The NP microbiota of young children is highly diverse and appears different between seasons. These differences seem independent of antibiotic use or viral co-infection.     

Community structures of fecal bacteria in cattle from different animal feeding operations

The fecal microbiome of cattle plays a critical role not only in animal health and productivity but also in food safety, pathogen shedding, and the performance of fecal pollution detection methods. Unfortunately, most published molecular surveys fail to provide adequate detail about variability in the community structures of fecal bacteria within and across cattle populations. Using massively parallel pyrosequencing of a hypervariable region of the rRNA coding region, we profiled the fecal microbial communities of cattle from six different feeding operations where cattle were subjected to consistent management practices for a minimum of 90 days. We obtained a total of 633,877 high-quality sequences from the fecal samples of 30 adult beef cattle (5 individuals per operation). Sequence-based clustering and taxonomic analyses indicate less variability within a population than between populations. Overall, bacterial community composition correlated significantly with fecal starch concentrations, largely reflected in changes in the Bacteroidetes, Proteobacteria, and Firmicutes populations. In addition, network analysis demonstrated that annotated sequences clustered by management practice and fecal starch concentration, suggesting that the structures of bovine fecal bacterial communities can be dramatically different in different animal feeding operations, even at the phylum and family taxonomic levels, and that the feeding operation is a more important determinant of the cattle microbiome than is the geographic location of the feedlot.     

Global distribution and diversity of marine Verrucomicrobia

Verrucomicrobia is a bacterial phylum that is commonly detected in soil, but little is known about the distribution and diversity of this phylum in the marine environment. To address this, we analyzed the marine microbial community composition in 506 samples from the International Census of Marine Microbes as well as 11 coastal samples taken from the California Current. These samples from both the water column and sediments covered a wide range of environmental conditions. Verrucomicrobia were present in 98% of the analyzed samples, and thus appeared nearly ubiquitous in the ocean. Based on the occurrence of amplified 16S ribosomal RNA sequences, Verrucomicrobia constituted on average 2% of the water column and 1.4% of the sediment bacterial communities. The diversity of Verrucomicrobia displayed a biogeography at multiple taxonomic levels and thus, specific lineages appeared to have clear habitat preference. We found that subdivision 1 and 4 generally dominated marine bacterial communities, whereas subdivision 2 was more frequent in low salinity waters. Within the subdivisions, Verrucomicrobia community composition were significantly different in the water column compared with sediment as well as within the water column along gradients of salinity, temperature, nitrate, depth and overall water column depth. Although we still know little about the ecophysiology of Verrucomicrobia lineages, the ubiquity of this phylum suggests that it may be important for the biogeochemical cycle of carbon in the ocean.     

Diversity and dynamics of rare and of resident bacterial populations in coastal sands

Coastal sands filter and accumulate organic and inorganic materials from the terrestrial and marine environment, and thus provide a high diversity of microbial niches. Sands of temperate climate zones represent a temporally and spatially highly dynamic marine environment characterized by strong physical mixing and seasonal variation. Yet little is known about the temporal fluctuations of resident and rare members of bacterial communities in this environment. By combining community fingerprinting via pyrosequencing of ribosomal genes with the characterization of multiple environmental parameters, we disentangled the effects of seasonality, environmental heterogeneity, sediment depth and biogeochemical gradients on the fluctuations of bacterial communities of marine sands. Surprisingly, only 3–5% of all bacterial types of a given depth zone were present at all times, but 50–80% of them belonged to the most abundant types in the data set. About 60–70% of the bacterial types consisted of tag sequences occurring only once over a period of 1 year. Most members of the rare biosphere did not become abundant at any time or at any sediment depth, but varied significantly with environmental parameters associated with nutritional stress. Despite the large proportion and turnover of rare organisms, the overall community patterns were driven by deterministic relationships associated with seasonal fluctuations in key biogeochemical parameters related to primary productivity. The maintenance of major biogeochemical functions throughout the observation period suggests that the small proportion of resident bacterial types in sands perform the key biogeochemical processes, with minimal effects from the rare fraction of the communities.