The β-hairpin conformation is regarded as an important basic motif to form and regulate protein-protein interactions. Single-domain VH H antibodies are potential therapeutic and diagnostic tools, and the third complementarity-determining regions of the heavy chains (CDR3s) of these antibodies are critical for antigen recognition. Although the sequences and conformations of the CDR3s are diverse, CDR3s sometimes adopt β-hairpin conformations. However, characteristic features and interaction mechanisms of β-hairpin CDR3s remain to be fully elucidated. In this study, we investigated the molecular recognition of the anti-HigB2 VH H antibody Nb8, which has a CDR3 that forms a β-hairpin conformation. The interaction was analyzed by evaluation of alanine-scanning mutants, molecular dynamics simulations, and hydrogen/deuterium exchange mass spectrometry. These experiments demonstrated that positions 93 and 94 (Chothia numbering) in framework region 3, which is right outside CDR3 by definition, play pivotal roles in maintaining structural stability and binding properties of Nb8. These findings will facilitate the design and optimization of single-domain antibodies.

BACKGROUND: High-dose glucocorticoid therapy has been widely applied in clinical practice in systemic lupus erythematosus (SLE)patients, but less is known about the changes of T cells, especially the T cell receptor (TCR) repertoires, during the treatment. The aim of this paper is to describe the changes of TCR that recurrent and new-onset SLE patients treated by high-dose glucocorticoid therapy.
METHODS: Drugs of clinical treatment of SLE mainly include glucocorticoid, immunosuppressive agents, nonsteroidal anti-inflammatory drugs and B cell targeted drugs, etc, but the clinical symptoms were in remission and recurrent of onset patients with SLE.
METHODS: Refer to the diagnostic criteria for SLE in 2011 by the American society of rheumatology.
METHODS: All patients were treated with High-dose glucocorticoid therapy and surveyed the TCR repertoires at 3 monitoring moments (before treatment, one month after treatment, and 3 months after treatment) to analyze the relationship between the characteristics of TCR repertoire and the highdose glucocorticoid therapy.
RESULTS: We found that high-dose glucocorticoid therapy resulted in clinical symptom remission, as well as change of diversity, highly expanded clones (HEC), usage of TCR beta chain variable gene (TRBV)/TCR beta chain joining gene (TRBJ), and overlapped sequences of TCR beta chain complementarity determining region 3 (CDR3) repertoires. This suggests that the effect of high-dose glucocorticoids on TCR repertoires is closely related to individual autoimmune T cells.
CONCLUSIONS: In this study, we have shown that we could evaluate the effect of therapy, the pathogenesis, and the prognosis for the patients with SLE by monitoring the TCR CDR3 repertoires. It could afford a new method to find the therapeutic target of SLE.

BACKGROUND: Deep sequencing of lymphocyte receptor repertoires has made it possible to comprehensively profile the clonal composition of lymphocyte populations. This opens the door for novel approaches to diagnose and prognosticate diseases with a driving immune component by identifying repertoire sequence patterns associated with clinical phenotypes. Indeed, recent studies support the feasibility of this, demonstrating an association between repertoire-level summary statistics (e.g., diversity) and patient outcomes for several diseases. In our own prior work, we have shown that six codons in VH4-containing genes in B cells from the cerebrospinal fluid of patients with relapsing remitting multiple sclerosis (RRMS) have higher replacement mutation frequencies than observed in healthy controls or patients with other neurological diseases. However, prior methods to date have been limited to focusing on repertoire-level summary statistics, ignoring the vast amounts of information in the millions of individual immune receptors comprising a repertoire. We have developed a novel method that addresses this limitation by using innovative approaches for accommodating the extraordinary sequence diversity of immune receptors and widely used machine learning approaches. We applied our method to RRMS, an autoimmune disease that is notoriously difficult to diagnose.
RESULTS: We use the biochemical features encoded by the complementarity determining region 3 of each B cell receptor heavy chain in every patient repertoire as input to a detector function, which is fit to give the correct diagnosis for each patient using maximum likelihood optimization methods. The resulting statistical classifier assigns patients to one of two diagnosis categories, RRMS or other neurological disease, with 87% accuracy by leave-one-out cross-validation on training data (N = 23) and 72% accuracy on unused data from a separate study (N = 102).
CONCLUSIONS: Our method is the first to apply statistical learning to immune repertoires to aid disease diagnosis, learning repertoire-level labels from the set of individual immune repertoire sequences. This method produced a repertoire-based statistical classifier for diagnosing RRMS that provides a high degree of diagnostic capability, rivaling the accuracy of diagnosis by a clinical expert. Additionally, this method points to a diagnostic biochemical motif in the antibodies of RRMS patients, which may offer insight into the disease process.

Given the increasing exploitation of antibodies in different contexts such as molecular diagnostics and therapeutics, it would be beneficial to unravel the atomistic level properties of antibody-antigen complexes with the help of computational modeling. Thus, here we have studied the feasibility of computational tools to gather atomic scale information regarding the antibody-antigen complexes solely starting from an amino acid sequence. First, we constructed a homology model for the anti-testosterone binding antibody based on the knowledge based classification of complementary determining regions (CDRs) and implicit solvent molecular dynamics simulations. To further examine whether the generated homology model is suitable for studying antibody-antigen interactions, docking calculations were carried out followed by binding free-energy simulations. Our results indicate that with the antibody modeling approach presented here it is possible to construct accurate homology models for antibodies which correctly describes the antibody-antigen interactions, and produces absolute binding free-energies that are comparable with experimental values. In addition, our simulations suggest that the conformations of complementary determining regions (CDRs) may considerably change from the X-ray configuration upon solvation. In conclusion, here we have introduced an antibody modeling workflow that can be used in studying the interactions between antibody and antigen solely based on an amino acid sequence, which in turn provides novel opportunities to tune the properties of antibodies in different applications. Proteins 2017; 85:322-331. © 2016 Wiley Periodicals, Inc.

Antibody humanization describes the procedure of grafting a non-human antibody\'s complementarity-determining regions, i.e., the variable loop regions that mediate specific interactions with the antigen, onto a β-sheet framework that is representative of the human variable region germline repertoire, thus reducing the number of potentially antigenic epitopes that might trigger an anti-antibody response. The selection criterion for the so-called acceptor frameworks (one for the heavy and one for the light chain variable region) is traditionally based on sequence similarity. Here, we propose a novel approach that selects acceptor frameworks such that the relative orientation of the 2 variable domains in 3D space, and thereby the geometry of the antigen-binding site, is conserved throughout the process of humanization. The methodology relies on a machine learning-based predictor of antibody variable domain orientation that has recently been shown to improve the quality of antibody homology models. Using data from 3 humanization campaigns, we demonstrate that preselecting humanization variants based on the predicted difference in variable domain orientation with regard to the original antibody leads to subsets of variants with a significant improvement in binding affinity.

BACKGROUND: To improve the outcome of patients with T-cell acute lymphoblastic leukemia (T-ALL), characterization of the biological features of T-ALL blast cells and the immune status of patients with T-ALL is needed to identify specific therapeutic strategies.
RESULTS: Using a novel approach based on the combination of fine-tiling comparative genomic hybridization (FT-CGH) and ligation-mediated PCR (LM-PCR), we molecularly identified a malignant γδ + T cell clone with a Vδ5Dδ2Jδ1 rearrangement that was paired with a T cell receptor (TCR) VγI and comprised a Vγ1Vδ5 T cell clone in a relapse T-ALL patient. This malignant Vδ5 T cell clone disappeared after chemotherapy, but the clone was detected again when disease relapsed post allogeneic hematopoietic stem cell transplantation (allo-HSCT) at 100 weeks. Using PCR and GeneScan analyses, the distribution and clonality of the TCR Vγ and Vδ subfamilies were examined before and after allo-HSCT in the patient. A reactive T cell clone with a Vδ4Dδ3Jδ1 rearrangement was identified in all samples taken at different time points (i.e., 4, 8, 68, 100 and 108 weeks after allo-HSCT). The expression of this Vδ4+ T cell clone was higher in the patient during complete remission (CR) post allo-HSCT and at disease relapse.
CONCLUSIONS: This study established a sensitive methodology to detect T cell subclones, which may be used to monitor minimal residual disease and immune reconstitution.

High-throughput DNA sequencing technologies are increasingly becoming powerful systems for the comprehensive analysis of variations in whole genomes or various DNA libraries. As they are capable of producing massive collections of short sequences with varying lengths, a major challenge is how to turn these reads into biologically meaningful information. The first stage is to assemble the short reads into longer sequences through an in silico process. However, currently available software/programs allow only the assembly of abundant sequences, which apparently results in the loss of highly variable (or rare) sequences or creates artefact assemblies. In this paper, we describe a novel program (DNAseq) that is capable of assembling highly variable sequences and displaying them directly for phylogenetic analysis. In addition, this program is Microsoft Windows-based and runs by a normal PC with 700MB RAM for a general use. We have applied it to analyse a human naive single-chain antibody (scFv) library, comprehensively revealing the diversity of antibody variable complementarity-determining regions (CDRs) and their families. Although only a scFv library was exemplified here, we envisage that this program could be applicable to other genome libraries.

BACKGROUND: Evans syndrome (ES) is a rare disorder characterized by combined autoimmune thrombocytopenia and autoimmune hemolytic anemia. Several studies have documented a number of B cell defects, whereas only limited information is currently available about the T cell subset.
METHODS: A wide panel of immunological analyses aiming specifically at a quantitative and qualitative evaluation of the T cell compartment was performed in an unusual case of ES. The peripheral distribution of the T cell subsets, the diversity of the T cell receptor (TCR) repertoires, the cytokine profile and the T cell apoptosis have been longitudinally evaluated.
RESULTS: On first investigation, flow-cytometric immunophenotyping showed a remarkable alteration of T cell homeostasis with deeply reduced CD4+ naive T cells and recent thymic emigrants. This was seen in association with increased levels of T cell activation and apoptosis. Consistently with these data the cytokine profile was characterized by high interferon-gamma and low interleukin-2 levels. Staining for CD4 and CD25 molecules showed decreased percentages of circulating regulatory T cells according to the autoimmune nature of ES. Finally, restricted TCR repertoires were demonstrated by a skewed TCR beta chain variable (TCRBV) gene usage as well as oligoclonal third complementarity-determining region (CDR3) profiles. A deterioration of the above-mentioned parameters and a worsening of the clinical condition were observed during the follow-up requiring more intensive treatments.
CONCLUSIONS: The demonstration of multiple T cell defects, in addition to providing pathogenetic information, is likely to alter both acute treatment and outcome of ES.

In cases of stains that contain mixed DNA from different contributors, analyzing mitochondrial DNA (mtDNA) requires the use of cloning techniques. We developed an efficient cloning technique that was applied in a rape case. After a differential lysis-based DNA extraction from vaginal swabs, hypervariable region I and II (HVI, HVII) amplicons obtained from the male fraction were cloned. Although we mainly found the victim\'s haplotype, we were able to detect the suspect\'s haplotype in two clones for HVI and in one clone for HVII. As the midpiece of the flagellum, which contains mitochondria, can be lost during the differential lysis, we also investigated the female fraction by cloning to evaluate the proportion of victim/suspect mtDNA. Unfortunately, only clones presenting the victim\'s haplotype were found. This case highlights the need for an optimal differential lysis protocol to enrich the male fraction not only with nuclear but also mitochondrial DNA.

In a patient with chronic active Epstein-Barr virus infection associated with vasculitis and fulminant CD4+ T cell lymphoproliferative disorder, we probed the peripheral blood mononuclear cells (PBMC) for the presence of an EBV-specific T cell repertoire and tested the possible relationship between the lymphocytic infiltrate and the EBV-specific T cell response. Our results give credence to the presence of an apparently normal EBV-specific memory T cell response after in vitro reactivation of the patient\'s PBMC with autologous infected B lymphoblastoid cell lines. In keeping with the characterization of the vasculitis, certain T cell subsets were detected after expansion of skin lesion-infiltrating lymphocytes and were found to be infected with EBV. These particular T cell expansions were neither the effectors nor the targets of the in vitro reactivated EBV-specific T cells, thus excluding a simple relationship between EBV, the skin lesions, and the T cell expansions frequently observed in these patients.