Identification of CDRH3 Loops in the Naive B Cell Receptor Repertoire that Can Be Engaged by Candidate Immunogens

B cell lineages that are the current focus of vaccine development efforts against HIV-1, influenza or coronaviruses, often contain rare features, such as long heavy chain complementarity determining regions (CDRH3) loops. These unusual characteristics may limit the number of available B cells in the natural immunoglobulin repertoire that can respond to pathogen vaccinations. To measure the ability of a given immunogen to engage naturally occurring B cell receptors of interest, here we describe a mixed experimental and bioinformatic approach for determining the frequency and sequence of CDRH3 loops in the immune repertoire that can be recognized by a vaccine candidate. By combining deep mutational scanning and B cell receptor database analysis, CDRH3 loops were found that can be engaged by two HIV-1 germline-targeting immunogens, thus illustrating how the methods described here can be used to evaluate candidate immunogens based on their ability to engage diverse B cell lineage precursors.

IgMAT: immunoglobulin sequence multi-species annotation tool for any species including those with incomplete antibody annotation or unusual characteristics

The advent and continual improvement of high-throughput sequencing technologies has made immunoglobulin repertoire sequencing accessible and informative regardless of study species. However, to fully map changes in polyclonal dynamics, precise annotation of these constantly rearranging genes is pivotal. For this reason, data agnostic tools able to learn from presented data are required. Most sequence annotation tools are designed primarily for use with human and mouse antibody sequences which use databases with fixed species lists, applying very specific assumptions which select against unique structural characteristics. We present IgMAT, which utilises a reduced amino acid alphabet, incorporates multiple HMM alignments into a single consensus and enables the incorporation of user defined databases to better represent their species of interest.Availability and implementationIgMAT has been developed as a python module, and is available on GitHub (https://github.com/TPI-Immunogenetics/igmat) for download under GPLv3 license.Supplementary informationModel Breakdowns

SCIGA: Software for large-scale, single-cell immunoglobulin repertoire analysis

Background B-cell immunoglobulin repertoires with paired heavy and light chain can be determined by means of 10X single-cell V(D)J sequencing. Precise and quick analysis of 10X single-cell immunoglobulin repertoires remains a challenge owing to the high diversity of immunoglobulin repertoires and a lack of specialized software that can analyze such diverse data. Findings In this study, specialized software for 10X single-cell immunoglobulin repertoire analysis was developed. SCIGA (Single-Cell Immunoglobulin Repertoire Analysis) is an easy-to-use pipeline that performs read trimming, immunoglobulin sequence assembly and annotation, heavy and light chain pairing, statistical analysis, visualization, and multiple sample integration analysis, which is all achieved by using a 1-line command. Then SCIGA was used to profile the single-cell immunoglobulin repertoires of 9 patients with coronavirus disease 2019 (COVID-19). Four neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were identified from these repertoires. Conclusions SCIGA provides a complete and quick analysis for 10X single-cell V(D)J sequencing datasets. It can help researchers to interpret B-cell immunoglobulin repertoires with paired heavy and light chain.

Lentiviral vector-based SARS-CoV-2 pseudovirus enables analysis of neutralizing activity in COVID-19 convalescent plasma

As the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to spread around the globe, effective vaccination protocols are under deployment. Alternatively, the use of convalescent plasma (CP) therapy relies on the transfer of the immunoglobulin repertoire of a donor that has recovered from the disease as a means of passive vaccination. While the lack of an effective antiviral treatment inadvertently increases the interest in CP products, initial clinical evaluation on COVID-19 patients revealed that critical factors determining the outcome of CP therapy need to be defined clearly if clinical efficacy is to be expected. Measurement of neutralizing activity against SARS-CoV-2 using wildtype virus presents a reliable functional assay but the availability of suitable BSL3 facilities for virus culture restricts its applicability. Instead, the use of pseudovirus particles containing elements from the SARS-CoV-2 virus is widely applied to determine the activity of CP or other neutralizing agents such as monoclonal antibodies.In this study, we present our approach to optimize GFP-encoding lentiviral particles pseudotyped with the SARS-CoV-2 Spike and Membrane proteins for use in neutralization assays. Our results show the feasibility of pseudovirus production using a C-terminal truncated Spike protein which is greatly enhanced by the incorporation of the D614G mutation. Moreover, we report that the use of Sodium Butyrate during lentiviral vector production dramatically increases pseudovirus titers. Analysis of CP neutralizing activity against particles pseudotyped with wildtype or D614G mutant Spike protein in the presence or absence the M protein revealed differential activity in CP samples that did not necessarily correlate with the amount of anti-SARS-CoV-2 antibodies.Our results indicate that the extent of neutralizing activity in CP samples depends on the quality rather than the quantity of the humoral immune responses and varies greatly between donors. Functional screening of neutralizing activity using pseudovirus-based neutralization assays must be accepted as a critical tool for choosing CP donors if clinical efficacy is to be maximized.

The terminal deoxynucleotidyl transferase (TdT, or DNTT) is differentially expressed in brain metastatic tissues of patients with metastatic breast cancer.

Metastasis to the brain is a serious complication of breast cancer (1-3) with limited treatment options (4, 5). We mined published microarray data (6, 7) to discover genes associated with brain metastasis in human breast cancer, and identified differential expression of the gene encoding the terminal deoxynucleotidyl transferase TdT, also known as DNTT, when comparing brain metastatic tissues to primary tumors of the breast. DNTT was expressed at significantly lower levels in metastasis to the brain as compared to primary tumors, and primary tumor expression of DNTT significantly correlated with relapse-free survival. We recently reported that the immunoglobulin light chain kappa constant locus, IGKC, was differentially expressed in the brain metastases of patients with metastatic breast cancer (8). These data indicate that the expression of an immunoglobulin gene segment as well as a critical part of the cellular machinery utilized in expression of rearranged immunoglobulin genes with complete diversity of the immunoglobulin repertoire is differentially expressed and down-regulated in brain metastatic breast cancer, suggesting limiting immunoglobulin repertoire diversity is important for metastasis to the brain.

Isolation of cross-reactive monoclonal antibodies against divergent human coronaviruses that delineate a conserved and vulnerable site on the spike protein

The coronavirus spike glycoprotein, located on the virion surface, is the key mediator of cell entry. As such, it is an attractive target for the development of protective antibodies and vaccines. Here we describe two human monoclonal antibodies, 1.6C7 and 28D9, that display a remarkable cross-reactivity against distinct species from three Betacoronavirus subgenera, capable of binding the spike proteins of SARS-CoV and SARS-CoV-2, MERS-CoV and the endemic human coronavirus HCoV-OC43. Both antibodies, derived from immunized transgenic mice carrying a human immunoglobulin repertoire, blocked MERS-CoV infection in cells, whereas 28D9 also showed weak cross-neutralizing potential against HCoV-OC43, SARS-CoV and SARS-CoV-2 in a neutralization-sensitive virus pseudotyping system, but not against authentic virus. Both cross-reactive monoclonal antibodies were found to target the stem helix in the spike protein S2 fusion subunit which, in the prefusion conformation of trimeric spike, forms a surface exposed membrane-proximal helical bundle, that is antibody-accessible. We demonstrate that administration of these antibodies in mice protects from a lethal MERS-CoV challenge in both prophylactic and/or therapeutic models. Collectively, these antibodies delineate a conserved, immunogenic and vulnerabe site on the spike protein which spurs the development of broad-range diagnostic, preventive and therapeutic measures against coronaviruses.

HIGHER ORDER IMMUNOGLOBULIN REPERTOIRE RESTRICTIONS IN CLL: THE ILLUSTRATIVE CASE OF STEREOTYPED SUBSETS #2 AND #169

Chronic lymphocytic leukemia (CLL) major stereotyped subset #2 (IGHV3-21/IGLV3-21, ~2.5% of all CLL) is an aggressive disease variant, irrespective of the somatic hypermutation (SHM) status of the clonotypic IGHV gene. Minor stereotyped subset #169 (IGHV3-48/IGLV3-21, ~0.2% of all CLL) is related to subset #2 as it displays a highly similar variable antigen-binding site. We further explored this relationship through next-generation sequencing and crystallographic analysis of the clonotypic B cell receptor immunoglobulin (BcR IG). Branching evolution of the predominant clonotype through intraclonal diversification (ID) in the context of ongoing SHM was evident in both heavy and light chain genes of both subsets. Molecular similarities between the two subsets were highlighted by the finding of shared SHMs within both the heavy and the light chain genes in all analyzed cases at either clonal or subclonal level. Particularly noteworthy in this respect was a ubiquitous SHM at the linker region between the variable and the constant domain of the IGLV3-21 light chains, previously reported as critical for IG homotypic interactions underlying cell-autonomous signaling capacity. Notably, crystallographic analysis revealed that the IGLV3-21-bearing CLL subset #169 IG retains the same geometry and contact residues for the homotypic intermolecular interaction observed in subset #2, including the SHM at the linker region, and from a molecular standpoint belong to a common structural mode of autologous recognition. Collectively, our findings document that stereotyped subsets #2 and #169 are very closely related, displaying shared IG features that can be explained only in the context of shared functional selection.

Dangerous Liaisons: Gammaherpesvirus Subversion of the Immunoglobulin Repertoire

A common biologic property of the gammaherpesviruses Epstein–Barr Virus and Kaposi sarcoma herpesvirus is their use of B lymphocytes as a reservoir of latency in healthy individuals that can undergo oncogenic transformation later in life. Gammaherpesviruses (GHVs) employ an impressive arsenal of proteins and non-coding RNAs to reprogram lymphocytes for proliferative expansion. Within lymphoid tissues, the germinal center (GC) reaction is a hub of B cell proliferation and death. The goal of a GC is to generate and then select for a pool of immunoglobulin (Ig) genes that will provide a protective humoral adaptive immune response. B cells infected with GHVs are detected in GCs and bear the hallmark signatures of the mutagenic processes of somatic hypermutation and isotype class switching of the Ig genes. However, data also supports extrafollicular B cells as a reservoir engaged by GHVs. Next-generation sequencing technologies provide unprecedented detail of the Ig sequence that informs the natural history of infection at the single cell level. Here, we review recent reports from human and murine GHV systems that identify striking differences in the immunoglobulin repertoire of infected B cells compared to their uninfected counterparts. Implications for virus biology, GHV-associated cancers, and host immune dysfunction will be discussed.

Polymorphisms in human immunoglobulin heavy chain variable genes and their upstream regions

Germline variations in immunoglobulin genes influence the repertoire of B cell receptors and antibodies, and such polymorphisms may impact disease susceptibility. However, the knowledge of the genomic variation of the immunoglobulin loci is scarce. Here, we report 25 potential novel germline IGHV alleles as inferred from rearranged naïve B cell cDNA repertoires of 98 individuals. Thirteen novel alleles were selected for validation, out of which ten were successfully confirmed by targeted amplification and Sanger sequencing of non-B cell DNA. Moreover, we detected a high degree of variability upstream of the V-REGION in the 5′UTR, L-PART1 and L-PART2 sequences, and found that identical V-REGION alleles can differ in upstream sequences. Thus, we have identified a large genetic variation not only in the V-REGION but also in the upstream sequences of IGHV genes. Our findings provide a new perspective for annotating immunoglobulin repertoire sequencing data.