Mining human antibody repertoires

Human monoclonal antibodies (mAbs) have become drugs of choice for the management of an increasing number of human diseases. Human antibody repertoires provide a rich source for human mAbs. Here we review the characteristics of natural and non-natural human antibody repertoires and their mining with non-combinatorial and combinatorial strategies. In particular, we discuss the selection of human mAbs from naïve, immune, transgenic and synthetic human antibody repertoires using methods based on hybridoma technology, clonal expansion of peripheral B cells, single-cell PCR, phage display, yeast display and mammalian cell display. Our reliance on different strategies is shifting as we gain experience and refine methods to the efficient generation of human mAbs with superior pharmacokinetic and pharmacodynamic properties.Key words: human monoclonal antibodies, B cells, hybridoma technology, display technologies, antibody libraries, antibody engineering     

Disentanglement of protease substrate repertoires

Identification of protease substrates and detailed characterization of processed sites are essential for understanding the biological function of proteases. Because of inherent complexity reasons, this however remains a formidable analytical challenge, illustrated by the fact that the majority of the more than 500 human proteases are uncharacterized to date. Recently, in addition to conventional genetic and biochemical approaches, diverse quantitative peptide-centric proteomics approaches, some of which selectively recover N-terminal peptides, have emerged. These latter proteomic technologies in particular allow the identification of natural protease substrates and delineation of cleavage sites in a complex, natural background of thousands of different proteins. We here review current biochemical, genetic and proteomic methods for global analysis of substrates of proteases and discuss selected applications.     

Mining human antibody repertoires

Human monoclonal antibodies (mAbs) have become drugs of choice for the management of an increasing number of human diseases. Human antibody repertoires provide a rich source for human mAbs. Here we review the characteristics of natural and non-natural human antibody repertoires and their mining with non-combinatorial and combinatorial strategies. In particular, we discuss the selection of human mAbs from naïve, immune, transgenic, and synthetic human antibody repertoires using methods based on hybridoma technology, clonal expansion of peripheral B cells, single-cell PCR, phage display, yeast display, and mammalian cell display. Our reliance on different strategies is shifting as we gain experience and refine methods to the efficient generation of human mAbs with superior pharmacokinetic and pharmacodynamic properties.     

The functional repertoires of metazoan genomes

Metazoan genomes are being sequenced at an increasingly rapid rate. For each new genome, the number of protein-coding genes it encodes and the amount of functional DNA it contains are known only inaccurately. Nevertheless, there have been considerable recent advances in identifying protein-coding and non-coding sequences that have remained constrained in diverse species. However, these approaches struggle to pinpoint genomic sequences that are functional in some species but that are absent or not functional in others. Yet it is here, encoded in lineage-specific and functional sequence, that we expect physiological differences between species to be most concentrated.     

Sequencing antibody repertoires

Genomic studies have been revolutionized by the use of next generation sequencing (NGS) that delivers huge amounts of sequence information in a short span of time. The number of applications for NGS is rapidly expanding and significantly transforming many areas of life sciences. The field of antibody research and discovery is no exception. Several recent studies have harnessed the power of NGS for analyzing natural or synthetic immunoglobulin repertoires with unprecedented resolution and exploring alternative paths for antibody discovery. Thus, appreciating, and then exploiting, these advances is essential for staying at the edge of antibody innovation.     

超大容量人源性抗体库的构建

构建大容量抗体库是获得高亲和力抗体的重要基础和保障,如何构建大容量抗体库一直是被关注的热点。本对比分析了天然库、半合成库及全合成库基因多样性的特点,指出获得多样的功能性抗体基因是建库的关键。构建大容量抗体库要从提高连接和转化效率、利用体内重组系统提高抗体基因组合多样性以及提高包装和呈现的效率等多个环节进行条件优化,提高库容量和多样性。     

Olfactory receptor gene repertoires in mammals

In mammals, olfaction is mediated by two distinct organs that are located in the nasal cavity: the main olfactory epithelium (MOE) that binds volatile odorants is responsible for the conscious perception of odors, and the vomeronasal organ (VNO) that binds pheromones is responsible for various behavioral and neuroendocrine responses between individuals of a same species. Odorants and pheromones bind to seven transmembrane domain G-protein-coupled receptors that permit signal transduction. These receptors are encoded by large multigene families that evolved in mammal species in function of specific olfactory needs.     

Evolutionary origins of genomic repertoires in bacteria

Explaining the diversity of gene repertoires has been a major problem in modern evolutionary biology. In eukaryotes, this diversity is believed to result mainly from gene duplication and loss, but in prokaryotes, lateral gene transfer (LGT) can also contribute substantially to genome contents. To determine the histories of gene inventories, we conducted an exhaustive analysis of gene phylogenies for all gene families in a widely sampled group, the γ-Proteobacteria. We show that, although these bacterial genomes display striking differences in gene repertoires, most gene families having representatives in several species have congruent histories. Other than the few vast multigene families, gene duplication has contributed relatively little to the contents of these genomes; instead, LGT, over time, provides most of the diversity in genomic repertoires. Most such acquired genes are lost, but the majority of those that persist in genomes are transmitted strictly vertically. Although our analyses are limited to the γ-Proteobacteria, these results resolve a long-standing paradox—i.e., the ability to make robust phylogenetic inferences in light of substantial LGT.     

The dog and rat olfactory receptor repertoires

Background

Dogs and rats have a highly developed capability to detect and identify odorant molecules, even at minute concentrations. Previous analyses have shown that the olfactory receptors (ORs) that specifically bind odorant molecules are encoded by the largest gene family sequenced in mammals so far.

Results

We identified five amino acid patterns characteristic of ORs in the recently sequenced boxer dog and brown Norway rat genomes. Using these patterns, we retrieved 1,094 dog genes and 1,493 rat genes from these shotgun sequences. The retrieved sequences constitute the olfactory receptor repertoires of these two animals. Subsets of 20.3% (for the dog) and 19.5% (for the rat) of these genes were annotated as pseudogenes as they had one or several mutations interrupting their open reading frames. We performed phylogenetic studies and organized these two repertoires into classes, families and subfamilies.

Conclusion

We have established a complete or almost complete list of OR genes in the dog and the rat and have compared the sequences of these genes within and between the two species. Our results provide insight into the evolutionary development of these genes and the local amplifications that have led to the specific amplification of many subfamilies. We have also compared the human and rat ORs with the human and mouse OR repertoires.     

High-resolution description of antibody heavy-chain repertoires in humans

Antibodies' protective, pathological, and therapeutic properties result from their considerable diversity. This diversity is almost limitless in potential, but actual diversity is still poorly understood. Here we use deep sequencing to characterize the diversity of the heavy-chain CDR3 region, the most important contributor to antibody binding specificity, and the constituent V, D, and J segments that comprise it. We find that, during the stepwise D-J and then V-DJ recombination events, the choice of D and J segments exert some bias on each other; however, we find the choice of the V segment is essentially independent of both. V, D, and J segments are utilized with different frequencies, resulting in a highly skewed representation of VDJ combinations in the repertoire. Nevertheless, the pattern of segment usage was almost identical between two different individuals. The pattern of V, D, and J segment usage and recombination was insufficient to explain overlap that was observed between the two individuals' CDR3 repertoires. Finally, we find that while there are a near-infinite number of heavy-chain CDR3s in principle, there are about 3-9 million in the blood of an adult human being.     

Trade-offs in antibody repertoires to complex antigens

Pathogens vary in their antigenic complexity. While some pathogens such as measles present a few relatively invariant targets to the immune system, others such as malaria display considerable antigenic diversity. How the immune response copes in the presence of multiple antigens, and whether a trade-off exists between the breadth and efficacy of antibody (Ab)-mediated immune responses, are unsolved problems. We present a theoretical model of affinity maturation of B-cell receptors (BCRs) during a primary infection and examine how variation in the number of accessible antigenic sites alters the Ab repertoire. Naive B cells with randomly generated receptor sequences initiate the germinal centre (GC) reaction. The binding affinity of a BCR to an antigen is quantified via a genotype–phenotype map, based on a random energy landscape, that combines local and distant interactions between residues. In the presence of numerous antigens or epitopes, B-cell clones with different specificities compete for stimulation during rounds of mutation within GCs. We find that the availability of many epitopes reduces the affinity and relative breadth of the Ab repertoire. Despite the stochasticity of somatic hypermutation, patterns of immunodominance are strongly shaped by chance selection of naive B cells with specificities for particular epitopes. Our model provides a mechanistic basis for the diversity of Ab repertoires and the evolutionary advantage of antigenically complex pathogens.     

A new method for quantitative analysis of the mouse T-cell receptor V region repertoires: comparison of repertoires among strains

We developed an adaptor ligation PCR-based microplate hybridization assay (MHA) to analyze the repertoires of mouse T-cell receptor (TCR) alpha- and beta-chain variable regions (TCRAV and TCRBV). RNA is transcribed to cDNA and an adaptor is ligated to the 5' end of the cDNA, which is then used as a template for PCR with an adaptor-specific 3' primer and a constant region-specific 5' primer. After hybridization of PCR products with TCRAV-and TCRBV-specific probes on the microplate, quantitative ELISA was carried out.The entire TCRAV or TCRBV repertoires could be analyzed using a single 96-well plate in triplicate and completed in less than 4 h. The assay results demonstrated the high level of specificity and reproducibility of this method. Furthermore, MHA results correlated well with those of fluorescence-activated cell sorting. This method may provide important information about various T-cell-associated diseases including autoimmune disease. The influence of the MHC on mouse TCR repertoires was next studied using the newly developed mouse TCRAV and TCRBV repertoire assay. The analysis in six strains showed no significant correlation between MHC haplotypes and TCRAV and TCRBV repertoires. However, large differences among strains was observed in TCRBV, but not in TCRAV repertoires. There were also large differences within same strain in TCRBV, but not in TCRAV repertoires, indicating differences in individuals independent of genetic factors. These data suggest that TCRBV repertoires are more susceptible than TCRAV repertoires not only to genetic factors but also some environmental factors.     

Model for comparative analysis of antigen receptor repertoires

In modern molecular biology one of the standard ways of analyzing a vertebrate immune system is to sequence and compare the counts of specific antigen receptor clones (either immunoglobulins or T-cell receptors) derived from various tissues under different experimental or clinical conditions. The resulting statistical challenges are difficult and do not fit readily into the standard statistical framework of contingency tables primarily due to the serious under-sampling of the receptor populations. This under-sampling is caused, on one hand, by the extreme diversity of antigen receptor repertoires maintained by the immune system and, on the other, by the high cost and labor intensity of the receptor data collection process. In most of the recent immunological literature the differences across antigen receptor populations are examined via non-parametric statistical measures of the species overlap and diversity borrowed from ecological studies. While this approach is robust in a wide range of situations, it seems to provide little insight into the underlying clonal size distribution and the overall mechanism differentiating the receptor populations. As a possible alternative, the current paper presents a parametric method that adjusts for the data under-sampling as well as provides a unifying approach to a simultaneous comparison of multiple receptor groups by means of the modern statistical tools of unsupervised learning. The parametric model is based on a flexible multivariate Poisson-lognormal distribution and is seen to be a natural generalization of the univariate Poisson-lognormal models used in the ecological studies of biodiversity patterns. The procedure for evaluating a model's fit is described along with the public domain software developed to perform the necessary diagnostics. The model-driven analysis is seen to compare favorably vis a vis traditional methods when applied to the data from T-cell receptors in transgenic mice populations.     

Resource competition determines selection of B cell repertoires

Previous experiments with mouse chimeras demonstrated that cellular competition for antigen-specific survival signals plays a crucial role in the maintenance of the naive B cell repertoire. Transgenic (Tg) B cell populations in these chimeras have a shortened lifespan and poor competitive abilities as compared to more diverse non-Tg populations in the same mice. We develop a mathematical model to investigate the mechanism of B cell competition. The model allows for various B cell clones, generated in the bone marrow, to go into the peripheral circulation, where they compete specifically for various ligands providing survival signals. In the model we also find the observed poor competitive abilities of the Tg repertoire. Investigating the nature of the competition in the model, we find that most of the competition is "intraspecific" occurring largely within the clone of truly Tg B cells, and within the repertoire of leaky Tg and non-Tg B cells. This is confirmed by analysing a simplified version of the model, which only allows for intraspecific competition, and resembles a simple ecological model with density-dependent death. The fact that our model accounts for the data, casts doubt on a previous interpretation of the same data arguing that more diverse repertoires outcompete repertoires of lower diversity. Here, we conclude that most of the data can be explained with intraspecific competition, and formulate an experimental prediction that allows one to distinguish between the previous interpretation of inter-specific competition between repertoires, and the current interpretation of intraspecific competition.     

Sequencing antibody repertoires: The next generation

Genomic studies have been revolutionized by the use of next generation sequencing (NGS), which delivers huge amounts of sequence information in a short span of time. The number of applications for NGS is rapidly expanding and significantly transforming many areas of life sciences. The field of antibody research and discovery is no exception. Several recent studies have harnessed the power of NGS for analyzing natural or synthetic immunoglobulin repertoires with unprecedented resolution and exploring alternative paths for antibody discovery. Thus, appreciating and then exploiting these advances is essential for staying at the edge of antibody innovation.Key words: next generation sequencing, phage display, hybridoma, antibody discovery, in vitro selection, immunization     

Assigning and visualizing germline genes in antibody repertoires

Identifying the germline genes involved in immunoglobulin rearrangements is an essential first step in the analysis of antibody repertoires. Based on our prior work in analysing diverse recombinant viruses, we present IgSCUEAL (Immunoglobulin Subtype Classification Using Evolutionary ALgorithms), a phylogenetic approach to assign V and J regions of immunoglobulin sequences to their corresponding germline alleles, with D regions assigned using a simple pairwise alignment algorithm. We also develop an interactive web application for viewing the results, allowing the user to explore the frequency distribution of sequence assignments and CDR3 region length statistics, which is useful for summarizing repertoires, as well as a detailed viewer of rearrangements and region alignments for individual query sequences. We demonstrate the accuracy and utility of our method compared with sequence similarity-based approaches and other non-phylogenetic model-based approaches, using both simulated data and a set of evaluation datasets of human immunoglobulin heavy chain sequences. IgSCUEAL demonstrates the highest accuracy of V and J assignment amongst existing approaches, even when the reassorted sequence is highly mutated, and can successfully cluster sequences on the basis of shared V/J germline alleles.     

High affinity extremes in combinatorial libraries and repertoires

By generating a large diversity of molecules, the immune system selects antibodies that bind antigens. Sharing the same approach, combinatorial biotechnologies use a large library of compounds to screen for molecules of high affinity to a given target. Understanding the properties of the best binders in the pool aids the design of the library. In particular, how does the maximum affinity increase with the size of the library or repertoire? We consider two alternative models to examine the properties of extreme affinities. In the first model, affinities are distributed lognormally, while in the second, affinities are determined by the number of matches to a target sequence. The second model more explicitly models nucleic acids (DNA or RNA) and proteins such as antibodies. Using extreme value theory we show that the logarithm of the mean of the highest affinity in a combinatorial library grows linearly with the square root of the log of the library size. When there is an upper bound to affinity, this “absolute maximum” is also approached approximately linearly with root log library size, reaching the upper limit abruptly. The design of libraries may benefit from considering how this plateau is reached as the library size is increased.