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Antibodies that attenuate immune tolerance have been used to effectively treat cancer, but they can also trigger severe autoimmunity. To investigate this, we combined anti–CTLA-4 treatment with a standard colitis model to give mice a more severe form of the disease. Pretreatment with an antibiotic, vancomycin, provoked an even more severe, largely fatal form, suggesting that a Gram-positive component of the microbiota had a mitigating effect. We then found that a commonly used probiotic, Bifidobacterium, could largely rescue the mice from immunopathology without an apparent effect on antitumor immunity, and this effect may be dependent on regulatory T cells.

Combining HLA-DQ-gluten tetramers with mass cytometry and RNA sequencing analysis, we find that gluten-specific CD4

A hallmark of CD4+ T cell activation and immunological synapse (IS) formation is the migration of the microtubule organization center and associated organelles toward the APCs. In this study, we found that when murine CD4+ T cells were treated with a microtubule-destabilizing agent (vinblastine) after the formation of IS, the microtubule organization center dispersed and all of the major cellular organelles moved away from the IS. Cytokines were no longer directed toward the synapse but were randomly secreted in quantities similar to those seen in synaptic secretion. However, if the actin cytoskeleton was disrupted at the same time with cytochalasin D, the organelles did not shift away from the IS. These findings suggest that there is a complex interplay between the microtubules and actin cytoskeleton, where microtubules are important for directing particular cytokines into the synapse, but they are not involved in the amount of cytokines that are produced for at least 1 h after IS formation. In addition, we found that they play a critical role in mobilizing organelles to reorient toward the synapse during T cell activation and in stabilizing organelles against the force that is generated through actin polymerization so that they move toward the APCs. These findings show that there is a complex interplay between these major cytoskeletal components during synapse formation and maintenance.

Understanding the consequences of tuning TCR signaling on selection, peripheral T cell function, and tolerance in the context of native TCR repertoires may provide insight into the physiological control of tolerance. In this study, we show that genetic ablation of a natural tuner of TCR signaling, mir-181a-1/b-1, in double-positive thymocytes dampened TCR and Erk signaling and increased the threshold of positive selection. Whereas mir-181a-1/b-1 deletion in mice resulted in an increase in the intrinsic reactivity of naive T cells to self-antigens, it did not cause spontaneous autoimmunity. Loss of mir-181a-1/b-1 dampened the induction of experimental autoimmune encephalomyelitis and reduced basal TCR signaling in peripheral T cells and their migration from lymph nodes to pathogenic sites. Taken together, these results demonstrate that tolerance can be modulated by microRNA gene products through the control of opposing activities in T cell selection and peripheral T cell function.

The undergraduate business education landscape is dramatically changing and will continue to do so for the foreseeable future. Many of the changes are being driven by increasing costs, advances in technology, rapid globalization, and an increasingly diverse workforce and customer base, and are occurring simultaneously in both the business world and higher education. This is especially true for undergraduate business education in which alternative models to the traditional four-year curriculum continue to emerge. Using Christensen's theory of disruptive innovation as a framework, we develop a set of recommendations to help undergraduate business education navigate the disruptions it faces by adopting a “pragmatic liberal” approach. This approach offers a direct contrast to the decades of limited success that business schools have had integrating liberal education and business education.

Although stem cell therapy (SCT) is emerging as a potential treatment for patients with dilated cardiomyopathy (DCM), clinical response remains variable. Our objective was to determine whether baseline differences in circulating immunologic and nonimmunologic biomarkers may help to identify patients more likely to respond to intramyocardial injection of CD34(+)-based SCT.We enrolled from January 3, 2011 to March 5, 2012 37 patients with longstanding DCM (left ventricular ejection fraction [LVEF]40%, New York Heart Association functional class III) who underwent peripheral CD34(+) stem cell mobilization with granulocyte colony-stimulating factor (G-CSF) and collection by means of apheresis. CD34(+) cells were labeled with (99m)Tc-hexamethylpropyleneamine oxime to allow assessment of stem cell retention at 18 hours. Response to SCT was predefined as an increase in LVEF of ≥5% at 3 months. The majority (84%) of patients were male with an overall mean LVEF of 27 ± 7% and a median N-terminal pro-B-type natriuretic peptide (NT-proBNP) level of 2,774 pg/mL. Nineteen patients (51%) were responders to SCT. There was no significant difference between responders and nonresponders regarding to age, sex, baseline LVEF, NT-proBNP levels, or 6-minute walking distance. With the use of a partial least squares (PLS) predictive model, we identified 9 baseline factors that were associated with both stem cell response and stem cell retention (mechanistic validation). Among the baseline factors positively associated with both clinical response and stem cell retention were G-CSF, SDF-1, LIF, MCP-1, and MCP-3. Among baseline factors negatively associated with both clinical response and retention were IL-12p70, FASL, ICAM-1, and GGT. A decrease in G-CSF at 3-month follow-up was also observed in responders compared with nonresponders (P = .02).If further validated, baseline immunologic and nonimmunologic biomarkers may help to identify patients with DCM who are more likely to respond to CD34(+)-based SCT.

Identification of the specific HLA locus and allele presenting an epitope for recognition by specific TCRs (HLA restriction) is necessary to fully characterize the immune response to Ags. Experimental determination of HLA restriction is complex and technically challenging. As an alternative, the restricting HLA locus and allele can be inferred by genetic association, using response data in an HLA-typed population. However, simple odds ratio (OR) calculations can be problematic when dealing with large numbers of subjects and Ags, and because the same epitope can be presented by multiple alleles (epitope promiscuity). In this study, we develop a tool, denominated Restrictor Analysis Tool for Epitopes, to extract inferred restriction from HLA class II–typed epitope responses. This automated method infers HLA class II restriction from large datasets of T cell responses in HLA class II–typed subjects by calculating ORs and relative frequencies from simple data tables. The program is validated by: 1) analyzing data of previously determined HLA restrictions; 2) experimentally determining in selected individuals new HLA restrictions using HLA-transfected cell lines; and 3) predicting HLA restriction of particular peptides and showing that corresponding HLA class II tetramers efficiently bind to epitope-specific T cells. We further design a specific iterative algorithm to account for promiscuous recognition by calculation of OR values for combinations of different HLA molecules while incorporating predicted HLA binding affinity. The Restrictor Analysis Tool for Epitopes program streamlines the prediction of HLA class II restriction across multiple T cell epitopes and HLA types.

Technology continues to affect today’s businesses in general and services in particular. With the globalization of business, service organizations have access to many of the same external resources. As a result, services must look internally to how they design their delivery processes to increase the value of their offerings. One element that appears to offer such opportunities is the creation of service inventories in the design of the service delivery process. We define service inventory as any tangible or intangible operand resource that is transformed by the service provider with or without customer input and is stored prior to the customer’s arrival. The goal of service inventories is to facilitate the steps in the service delivery process, thereby creating customer value during the service encounter. Within this context, service inventories can be either physical or digital; we focus primarily on the creation of digital service inventories and how they add value for both the provider and the customer. We introduce a framework that relates the degree of customer interaction and the degree of service inventory differentiation to operational “stickiness.” Our objective is to acknowledge the increasing role of technology in the delivery of services, and we discuss how services can leverage this technology by incorporating service inventories into the design of their delivery processes. The resulting synergy from both increasing the level of customer interaction during the value cocreation process and creating service inventories (both of which are integral elements in our framework) provides firms with increased customer satisfaction and loyalty.

Background. Inactivated influenza vaccine (IIV) is recommended during pregnancy to prevent influenza infection and its complications in pregnant women and their infants. However, the extent to which pregnancy modifies the antibody response to vaccination remains unclear, and prior studies have focused primarily on hemagglutinin inhibition (HI) titers. A more comprehensive understanding of how pregnancy modifies the humoral immune response to influenza vaccination will aid in maximizing vaccine efficacy. Methods. Healthy pregnant women and control women were studied prior to, 7 days after, and 28 days after vaccination with IIV. HI titers, microneutralization (MN) titers, and the frequency of circulating plasmablasts were evaluated in pregnant versus control women. Results. Pregnant women and control women mount similarly robust serologic immune responses to IIV, with no significant differences for any influenza strain in postvaccination geometric mean HI or MN titers. HI and MN titers correlate, though MN titers demonstrate more robust changes pre- versus postvaccination. The induction of circulating plasmablasts is increased in pregnant women versus controls (median fold-change 2.60 vs 1.49 [interquartile range, 0.94–7.53 vs 0.63–2.67]; P = .03). Conclusions. Pregnant women do not have impaired humoral immune responses to IIV and may have increased circulating plasmablast production compared to control women.

Antigen-specific CD4(+) T cells are implicated in the autoimmune disease systemic lupus erythematosus (SLE), but little is known about the peptide antigens that they recognize and their precise function in disease. We generated a series of MHC class II tetramers of I-E(k)-containing peptides from the spliceosomal protein U1-70 that specifically stain distinct CD4(+) T-cell populations in MRL/lpr mice. The T-cell populations recognize an epitope differing only by the presence or absence of a single phosphate residue at position serine(140). The frequency of CD4(+) T cells specific for U1-70(131-150):I-E(k) (without phosphorylation) correlates with disease severity and anti-U1-70 autoantibody production. These T cells also express RORγt and produce IL-17A. Furthermore, the U1-70-specific CD4(+) T cells that produce IL-17A are detected in a subset of patients with SLE and are significantly increased in patients with mixed connective tissue disease. These studies provide tools for studying antigen-specific CD4(+) T cells in lupus, and demonstrate an antigen-specific source of IL-17A in autoimmune disease.

High-throughput sequencing of B and T cell receptors is routinely being applied in studies of adaptive immunity. The Adaptive Immune Receptor Repertoire (AIRR) Community was formed in 2015 to address issues in AIRR sequencing studies, including the development of reporting standards for the sharing of data sets.

The distal lung contains terminal bronchioles and alveoli that facilitate gas exchange and is affected by disorders including interstitial lung disease, cancer, and SARS-CoV-2-associated COVID-19 pneumonia. Investigations of these localized pathologies have been hindered by a lack of 3D in vitro human distal lung culture systems. Further, human distal lung stem cell identification has been impaired by quiescence, anatomic divergence from mouse and lack of lineage tracing and clonogenic culture. Here, we developed robust feeder-free, chemically-defined culture of distal human lung progenitors as organoids derived clonally from single adult human alveolar epithelial type II (AT2) or KRT5 (+) basal cells. AT2 organoids exhibited AT1 transdifferentiation potential, while basal cell organoids progressively developed lumens lined by differentiated club and ciliated cells. Organoids consisting solely of club cells were not observed. Upon single cell RNA-sequencing (scRNA-seq), alveolar organoids were composed of proliferative AT2 cells; however, basal organoid KRT5 (+) cells contained a distinct ITGA6 (+) ITGB4 (+) mitotic population whose proliferation segregated to a TNFRSF12A (hi) subfraction. Clonogenic organoid growth was markedly enriched within the TNFRSF12A (hi) subset of FACS-purified ITGA6 (+) ITGB4 (+) basal cells from human lung or derivative organoids. In vivo, TNFRSF12A (+) cells comprised ~10% of KRT5 (+) basal cells and resided in clusters within terminal bronchioles. To model COVID-19 distal lung disease, we everted the polarity of basal and alveolar organoids to rapidly relocate differentiated club and ciliated cells from the organoid lumen to the exterior surface, thus displaying the SARS-CoV-2 receptor ACE2 on the outwardly-facing apical aspect. Accordingly, basal and AT2 apical-out organoids were infected by SARS-CoV-2, identifying club cells as a novel target population. This long-term, feeder-free organoid culture of human distal lung alveolar and basal stem cells, coupled with single cell analysis, identifies unsuspected basal cell functional heterogeneity and exemplifies progenitor identification within a slowly proliferating human tissue. Further, our studies establish a facile in vitro organoid model for human distal lung infectious diseases including COVID-19-associated pneumonia.

Roerink et al. (1) raise important and potential methodological biases that could have accounted for our finding regarding elevated TGF-β levels in patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) (2). Here, we provide additional information as requested by Roerink et al. (1) that supports that the elevation of TGF-β in patients with ME/CFS is most likely to be rooted in the biology of ME/CFS and not due to methodological issues. As stated in the materials and methods of ref. 2, both patients and controls were recruited from Northern California from March 2, … [↵][1]1To whom correspondence should be addressed. Email: mmdavis{at}stanford.edu. [1]: #xref-corresp-1-1

In silico quantification of cell proportions from mixed-cell transcriptomics data (deconvolution) requires a reference expression matrix, called basis matrix. We hypothesized that matrices created using only healthy samples from a single microarray platform would introduce biological and technical biases in deconvolution. We show presence of such biases in two existing matrices, IRIS and LM22, irrespective of the deconvolution method used. Here, we present immunoStates, a basis matrix built using 6160 samples with different disease states across 42 microarray platforms. We found that immunoStates significantly reduced biological and technical biases. We further show that cellular proportion estimates using immunoStates are consistently more correlated with measured proportions than IRIS and LM22, across all methods. Importantly, we found that different methods have virtually no effect once the basis matrix is chosen. Our results demonstrate the need and importance of incorporating biological and technical heterogeneity in a basis matrix for achieving consistently high accuracy.

Systemic sclerosis with pulmonary arterial hypertension (SSc-PAH) is a debilitating and frequently lethal disease of unknown cause lacking effective treatment options. Lymphocyte anomalies and autoantibodies observed in systemic sclerosis have suggested an autoimmune character. We study the clonal structure of the B cell repertoire in SSc-PAH using immunoglobulin heavy chain (IGH) sequencing before and after B cell depletion. We found SSc-PAH to be associated with anomalies in B cell development, namely, altered VDJ rearrangement frequencies (reduced IGHV2-5 segment usage) and an increased somatic mutation–fixation probability in expanded B cell lineages. SSc-PAH was also characterized by anomalies in B cell homeostasis, namely, an expanded immunoglobulin D–positive (IgD+) proportion with reduced mutation loads and an expanded proportion of highly antibody-secreting cells. Disease signatures pertaining to IGHV2-5 segment usage, IgD proportions, and mutation loads were temporarily reversed after B cell depletion. Analyzing the time course of B cell depletion, we find that the kinetics of naïve replenishment are predictable from baseline measurements alone, that release of plasma cells into the periphery can precede naïve replenishment, and that modes of B cell receptor diversity are highly elastic. Our findings reveal humoral immune signatures of SSc-PAH and uncover determinism in the effects of B cell depletion on the antibody repertoire.

Post-translational modifications (PTMs) on proteins often function to regulate signaling cascades, with the activation of T cells during an adaptive immune response being a classic example. Mounting evidence indicates that the modification of proteins by O-linked N-acetylglucosamine (O-Glcnac), the only mammalian glycan found on nuclear and cytoplasmic proteins, helps regulate T cell activation. Yet, a mechanistic understanding of how O-Glcnac functions in T cell activation remains elusive, partly because of the difficulties in mapping and quantifying O-Glcnac sites. Thus, to advance insight into the role of O-Glcnac in T cell activation, we performed glycosite mapping studies via direct glycopeptide measurement on resting and activated primary human T cells with a technique termed Isotope Targeted Glycoproteomics. This approach led to the identification of 2219 intact O-linked glycopeptides across 1045 glycoproteins. A significant proportion (>45%) of the identified O-Glcnac sites lie near or coincide with a known phosphorylation site, supporting the potential for PTM crosstalk. Consistent with other studies, we find that O-Glcnac sites in T cells lack a strict consensus sequence. To validate our results, we employed gel shift assays based on conjugating mass tags to O-Glcnac groups. Notably, we observed that the transcription factors c-JUN and JUNB show higher levels of O-Glcnac glycosylation and higher levels of expression in activated T cells. Overall, our findings provide a quantitative characterization of O-Glcnac glycoproteins and their corresponding modification sites in primary human T cells, which will facilitate mechanistic studies into the function of O-Glcnac in T cell activation.

Annual influenza vaccinations are currently recommended for all individuals 6 months and older. Antibodies induced by vaccination are an important mechanism of protection against infection. Despite the overall public health success of influenza vaccination, many individuals fail to induce a substantial antibody response. Systems-level immune profiling studies have discerned associations between transcriptional and cell subset signatures with the success of antibody responses. However, existing signatures have relied on small cohorts and have not been validated in large independent studies. We leveraged multiple influenza vaccination cohorts spanning distinct geographical locations and seasons from the Human Immunology Project Consortium (HIPC) and the Center for Human Immunology (CHI) to identify baseline (i.e., before vaccination) predictive transcriptional signatures of influenza vaccination responses. Our multicohort analysis of HIPC data identified nine genes (RAB24, GRB2, DPP3, ACTB, MVP, DPP7, ARPC4, PLEKHB2, and ARRB1) and three gene modules that were significantly associated with the magnitude of the antibody response, and these associations were validated in the independent CHI cohort. These signatures were specific to young individuals, suggesting that distinct mechanisms underlie the lower vaccine response in older individuals. We found an inverse correlation between the effect size of signatures in young and older individuals. Although the presence of an inflammatory gene signature, for example, was associated with better antibody responses in young individuals, it was associated with worse responses in older individuals. These results point to the prospect of predicting antibody responses before vaccination and provide insights into the biological mechanisms underlying successful vaccination responses.

Although some signs of inflammation have been reported previously in patients with myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), the data are limited and contradictory. High-throughput methods now allow us to interrogate the human immune system for multiple markers of inflammation at a scale that was not previously possible. To determine whether a signature of serum cytokines could be associated with ME/CFS and correlated with disease severity and fatigue duration, cytokines of 192 ME/CFS patients and 392 healthy controls were measured using a 51-multiplex array on a Luminex system. Each cytokine’s preprocessed data were regressed on ME/CFS severity plus covariates for age, sex, race, and an assay property of newly discovered importance: nonspecific binding. On average, TGF-β was elevated (P = 0.0052) and resistin was lower (P = 0.0052) in patients compared with controls. Seventeen cytokines had a statistically significant upward linear trend that correlated with ME/CFS severity: CCL11 (Eotaxin-1), CXCL1 (GROα), CXCL10 (IP-10), IFN-γ, IL-4, IL-5, IL-7, IL-12p70, IL-13, IL-17F, leptin, G-CSF, GM-CSF, LIF, NGF, SCF, and TGF-α. Of the 17 cytokines that correlated with severity, 13 are proinflammatory, likely contributing to many of the symptoms experienced by patients and establishing a strong immune system component of the disease. Only CXCL9 (MIG) inversely correlated with fatigue duration.

The immune system consists of many specialized cell populations that communicate with each other to achieve systemic immune responses. Our analyses of various measured immune cell population frequencies in healthy humans and their responses to diverse stimuli show that human immune variation is continuous in nature, rather than characterized by discrete groups of similar individuals. We show that the same three key combinations of immune cell population frequencies can define an individual's immunotype and predict a diverse set of functional responses to cytokine stimulation. We find that, even though interindividual variations in specific cell population frequencies can be large, unrelated individuals of younger age have more homogeneous immunotypes than older individuals. Across age groups, cytomegalovirus seropositive individuals displayed immunotypes characteristic of older individuals. The conceptual framework for defining immunotypes suggested by our results could guide the development of better therapies that appropriately modulate collective immunotypes, rather than individual immune components.

The immune system can mount T cell responses against tumors; however, the antigen specificities of tumor-infiltrating lymphocytes (TILs) are not well understood. We used yeast-display libraries of peptide-human leukocyte antigen (pHLA) to screen for antigens of “orphan” T cell receptors (TCRs) expressed on TILs from human colorectal adenocarcinoma. Four TIL-derived TCRs exhibited strong selection for peptides presented in a highly diverse pHLA-A∗02:01 library. Three of the TIL TCRs were specific for non-mutated self-antigens, two of which were present in separate patient tumors, and shared specificity for a non-mutated self-antigen derived from U2AF2. These results show that the exposed recognition surface of MHC-bound peptides accessible to the TCR contains sufficient structural information to enable the reconstruction of sequences of peptide targets for pathogenic TCRs of unknown specificity. This finding underscores the surprising specificity of TCRs for their cognate antigens and enables the facile identification of tumor antigens through unbiased screening.

Given the limited efficacy of clinical approaches that rely on ex vivo generated dendritic cells (DCs), it is imperative to design strategies that harness specialized DC subsets in situ. This requires delineating the expression of surface markers by DC subsets among individuals and tissues. Here, we performed a multiparametric phenotypic characterization and unbiased analysis of human DC subsets in blood, tonsil, spleen, and skin. We uncovered previously unreported phenotypic heterogeneity of human cDC2s among individuals, including variable expression of functional receptors such as CD172a. We found marked differences in DC subsets localized in blood and lymphoid tissues versus skin, and a striking absence of the newly discovered Axl+ DCs in the skin. Finally, we evaluated the capacity of anti-receptor monoclonal antibodies to deliver vaccine components to skin DC subsets. These results offer a promising path for developing DC subset-specific immunotherapies that cannot be provided by transcriptomic analysis alone.

T cell receptor (TCR) sequences are very diverse, with many more possible sequence combinations than T cells in any one individual1–4. Here we define the minimal requirements for TCR antigen specificity, through an analysis of TCR sequences using a panel of peptide and major histocompatibility complex (pMHC)-tetramer-sorted cells and structural data. From this analysis we developed an algorithm that we term GLIPH (grouping of lymphocyte interactions by paratope hotspots) to cluster TCRs with a high probability of sharing specificity owing to both conserved motifs and global similarity of complementarity-determining region 3 (CDR3) sequences. We show that GLIPH can reliably group TCRs of common specificity from different donors, and that conserved CDR3 motifs help to define the TCR clusters that are often contact points with the antigenic peptides. As an independent validation, we analysed 5,711 TCRβ chain sequences from reactive CD4 T cells from 22 individuals with latent Mycobacterium tuberculosis infection. We found 141 TCR specificity groups, including 16 distinct groups containing TCRs from multiple individuals. These TCR groups typically shared HLA alleles, allowing prediction of the likely HLA restriction, and a large number of M. tuberculosis T cell epitopes enabled us to identify pMHC ligands for all five of the groups tested. Mutagenesis and de novo TCR design confirmed that the GLIPH-identified motifs were critical and sufficient for shared-antigen recognition. Thus the GLIPH algorithm can analyse large numbers of TCR sequences and define TCR specificity groups shared by TCRs and individuals, which should greatly accelerate the analysis of T cell responses and expedite the identification of specific ligands.

We are in the midst of a technological revolution that is providing new insights into human biology and cancer. In this era of big data, we are amassing large amounts of information that is transforming how we approach cancer treatment and prevention. Enactment of the Cancer Moonshot within the 21st Century Cures Act in the USA arrived at a propitious moment in the advancement of knowledge, providing nearly US$2 billion of funding for cancer research and precision medicine. In 2016, the Blue Ribbon Panel (BRP) set out a roadmap of recommendations designed to exploit new advances in cancer diagnosis, prevention, and treatment. Those recommendations provided a high-level view of how to accelerate the conversion of new scientific discoveries into effective treatments and prevention for cancer. The US National Cancer Institute is already implementing some of those recommendations. As experts in the priority areas identified by the BRP, we bolster those recommendations to implement this important scientific roadmap. In this Commission, we examine the BRP recommendations in greater detail and expand the discussion to include additional priority areas, including surgical oncology, radiation oncology, imaging, health systems and health disparities, regulation and financing, population science, and oncopolicy. We prioritise areas of research in the USA that we believe would accelerate efforts to benefit patients with cancer. Finally, we hope the recommendations in this report will facilitate new international collaborations to further enhance global efforts in cancer control.

Systemic sclerosis with pulmonary arterial hypertension (SSc-PAH) is a debilitating and frequently lethal disease of unknown cause lacking effective treatment options. Lymphocyte anomalies and autoantibodies observed in systemic sclerosis have suggested an autoimmune character. Here we study the clonal structure of the B-cell repertoire in SSc-PAH using immunoglobulin heavy-chain sequencing before and after B-cell depletion. We found SSc-PAH to be associated with anomalies in B-cell development, namely altered VDJ rearrangement frequencies (reduced IGHV2-5 segment usage) and an increased somatic mutation-fixation probability in expanded B-cell lineages. SSc-PAH was also characterized by anomalies in B-cell homeostasis, namely an expanded IgD+proportion with reduced mutation loads and an expanded proportion of highly antibody-secreting cells. Disease signatures pertaining to IGHV2-5 segment usage, IgD proportions and mutation loads were temporarily reversed after B-cell depletion. Analyzing the time course of B-cell depletion, we find that the kinetics of naïve replenishment are predictable from baseline measurements alone, that release of plasma cells into the periphery can precede naïve replenishment and that modes of B-cell receptor diversity are highly elastic. Our findings shed light on the humoral immune basis of SSc-PAH and provide insights into the effect of B-cell depletion on the antibody repertoire.AbbreviationsSSc-PAHSystemic sclerosis with pulmonary arterial hypertensionIGHimmunoglobulin heavy-chainBCRB-cell receptorCDR3complementarity-determining region 3IgimmunoglobulinAAamino acid

Despite evidence that γδ T cells play an important role during malaria, their precise role remains unclear. During murine malaria induced by Plasmodium chabaudi infection and in human P. falciparum infection, we found that γδ T cells expanded rapidly after resolution of acute parasitemia, in contrast to αβ T cells that expanded at the acute stage and then declined. Single-cell sequencing showed that TRAV15N-1 (Vδ6.3) γδ T cells were clonally expanded in mice and had convergent complementarity-determining region 3 sequences. These γδ T cells expressed specific cytokines, M-CSF, CCL5, CCL3, which are known to act on myeloid cells, indicating that this γδ T cell subset might have distinct functions. Both γδ T cells and M-CSF were necessary for preventing parasitemic recurrence. These findings point to an M-CSF-producing γδ T cell subset that fulfills a specialized protective role in the later stage of malaria infection when αβ T cells have declined.

Functional analysis of T-cell responses in HIV-infected individuals has indicated that virus-specific CD8 + T cells with superior antiviral efficacy are well represented in HIV-1 controllers but are rare or absent in HIV-1 progressors. To define the role of individual T-cell receptor (TCR) clonotypes in differential antiviral CD8 + T-cell function, we performed detailed functional and mass cytometric cluster analysis of multiple CD8 + T-cell clones recognizing the identical HLA-B*2705-restricted HIV-1 epitope KK10 (KRWIILGLNK). Effective and ineffective CD8 + T-cell clones segregated based on responses to HIV-1-infected and peptide-loaded target cells. Following cognate peptide stimulation, effective HIV-specific clones displayed significantly more rapid TCR signal propagation, more efficient initial lytic granule release, and more sustained nonlytic cytokine and chemokine secretion than ineffective clones. To evaluate the TCR clonotype contribution to CD8 + T-cell function, we cloned the TCR α and β chain genes from one effective and two ineffective CD8 + T-cell clones from an elite controller into TCR-expressing lentivectors. We show that Jurkat/MA cells and primary CD8 + T cells transduced with lentivirus expressing TCR from one of the ineffective clones exhibited a level of activation by cognate peptide and inhibition of in vitro HIV-1 infection, respectively, that were comparable to those of the effective clonotype. Taken together, these data suggest that the potent antiviral capacity of some HIV-specific CD8 + T cells is a consequence of factors in addition to TCR sequence that modulate functionality and contribute to the increased antiviral capacity of HIV-specific CD8 + T cells in elite controllers to inhibit HIV infection. IMPORTANCE The greater ex vivo antiviral inhibitory activity of CD8 + T cells from elite controllers than from HIV-1 progressors supports the crucial role of effective HIV-specific CD8 + T cells in controlling HIV-1 replication. The contribution of TCR clonotype to inhibitory potency was investigated by delineating the responsiveness of effective and ineffective CD8 + T-cell clones recognizing the identical HLA-B*2705-restricted HIV-1 Gag-derived peptide, KK10 (KRWIILGLNK). KK10-stimulated “effective” CD8 + T-cell clones displayed significantly more rapid TCR signal propagation, more efficient initial lytic granule release, and more sustained cytokine and chemokine secretion than “ineffective” CD8 + T-cell clones. However, TCRs cloned from an effective and one of two ineffective clones conferred upon primary CD8 + T cells the equivalent potent capacity to inhibit HIV-1 infection. Taken together, these data suggest that other factors aside from intrinsic TCR-peptide-major histocompatibility complex (TCR-peptide-MHC) reactivity can contribute to the potent antiviral capacity of some HIV-specific CD8 + T-cell clones.

Background The B and T cells of the human adaptive immune system leverage a highly diverse repertoire of antigen-specific receptors to protect the human body from pathogens. The sequencing and analysis of immune repertoires is emerging as an important tool to understand immune responses, whether beneficial or harmful (in the case of autoimmunity). However, methods for studying these repertoires, and for directly comparing different immune repertoires, are lacking. Results In this paper, we present a non-parametric method for directly comparing sequencing repertoires, with the goal of rigorously quantifying differences in V, D, and J gene segment utilization. This method, referred to as the Repertoire Dissimilarity Index (RDI), uses a bootstrapped subsampling approach to account for variance in sequencing depth, and, coupled with a data simulation approach, allows for direct quantification of the average variation between repertoires. We use the RDI method to recapitulate known differences in the formation of the CD4+ and CD8+ T cell repertoires, and further show that antigen-driven activation of naïve CD8+ T cells is more selective than in the CD4+ repertoire, resulting in a more specialized CD8+ memory repertoire. Conclusions We prove that the RDI method is an accurate and versatile method for comparisons of immune repertoires. The RDI method has been implemented as an R package, and is available for download through Bitbucket. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1556-5) contains supplementary material, which is available to authorized users.

Public health relies on technologies to produce and analyse data, as well as effectively develop and implement policies and practices. An example is the public health practice of epidemiology, which relies on computational technology to monitor the health status of populations, identify disadvantaged or at risk population groups and thereby inform health policy and priority setting. Critical to achieving health improvements for the underserved population of people living with rare diseases is early diagnosis and best care. In the rare diseases field, the vast majority of diseases are caused by destructive but previously difficult to identify protein-coding gene mutations. The reduction in cost of genetic testing and advances in the clinical use of genome sequencing, data science and imaging are converging to provide more precise understandings of the ‘person-time-place’ triad. That is: who is affected (people); when the disease is occurring (time); and where the disease is occurring (place). Consequently we are witnessing a paradigm shift in public health policy and practice towards ‘precision public health’.

The 2009 pandemic due to influenza A(H1N1) virus (A[H1N1]pdm09) and recent human cases of infection due to highly pathogenic avian influenza A(H5N1) and A(H7N9) viruses emphasize the urgent need to adequately prepare for influenza pandemics. Vaccination is considered the most effective means to protect against influenza. Two types of seasonal influenza vaccines are currently available in the United States: inactivated influenza vaccine (IIV) and live, attenuated influenza vaccine (LAIV). In children 6 months to 18 years of age, LAIV has been consistently more efficacious than IIV against both antigenically matched and drifted strains [1–3]. LAIV was recently recommended as the preferred vaccine for healthy children 2–8 years of age by the Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices [4]. In adults

CRLX101 is a nanopharmaceutical consisting of cyclodextrin-based polymer molecule and camptothecin. The CRLX101 nanoparticle is designed to concentrate and slowly release camptothecin in tumors over an extended period of time. Tumor biopsy and blood samples collected from patients with advanced solid malignancies before and after CRLX101 treatment are subjected to immunohistochemistry and pharmacogenomics. The expression of Topoisomerase-1, Ki-67, CaIX, CD31 and VEGF decreased after CRLX101 treatment. The expressions of these proteins are inversely proportional with survival duration of the patients. The Drug Metabolism Enzymes and Transporters (DMET) array shows an allele frequency in patients similar to global populations with none of the SNPs associated with toxicity. The results suggest that the observed lower toxicity is not likely to be due to different genotypes in SNPs. CRLX101 demonstrates a promising anti-tumor activity in heavily pre-treated or treatment-refractory solid tumor malignancies presumably by inhibition of proliferation and angiogenesis correlating with tumor growth inhibition. From the clinical editor: In this cancer treatment study clinical samples collected from patients were subjected to immunohistochemistry and pharmacogenomics. The expressions of key proteins that are inversely proportional with survival duration of the patients decreased after treatment with CRLX101, a camptothecin slow-release nanoparticle conjugate. This anti-tumor activity in heavily pre-treated and treatment resistant solid tumors, promises a novel therapeutic approach.

Pregnant women experience increased morbidity and mortality after influenza infection, for reasons that are not understood. Although some data suggest that natural killer (NK)- and T-cell responses are suppressed during pregnancy, influenza-specific responses have not been previously evaluated. Thus, we analyzed the responses of women that were pregnant (n = 21) versus those that were not (n = 29) immediately before inactivated influenza vaccination (IIV), 7 d after vaccination, and 6 wk postpartum. Expression of CD107a (a marker of cytolysis) and production of IFN-γ and macrophage inflammatory protein (MIP) 1β were assessed by flow cytometry. Pregnant women had a significantly increased percentage of NK cells producing a MIP-1β response to pH1N1 virus compared with nonpregnant women pre-IIV [median, 6.66 vs. 0.90% (P = 0.0149)] and 7 d post-IIV [median, 11.23 vs. 2.81% (P = 0.004)], indicating a heightened chemokine response in pregnant women that was further enhanced by the vaccination. Pregnant women also exhibited significantly increased T-cell production of MIP-1β and polyfunctionality in NK and T cells to pH1N1 virus pre- and post-IIV. NK- and T-cell polyfunctionality was also enhanced in pregnant women in response to the H3N2 viral strain. In contrast, pregnant women had significantly reduced NK- and T-cell responses to phorbol 12-myristate 13-acetate and ionomycin. This type of stimulation led to the conclusion that NK- and T-cell responses during pregnancy are suppressed, but clearly this conclusion is not correct relative to the more biologically relevant assays described here. Robust cellular immune responses to influenza during pregnancy could drive pulmonary inflammation, explaining increased morbidity and mortality.

Generalized immune activation during HIV infection is associated with an increased risk of cardiovascular disease, neurocognitive disease, osteoporosis, metabolic disorders, and physical frailty. The mechanisms driving this immune activation are poorly understood, particularly for individuals effectively treated with antiretroviral medications. We hypothesized that viral characteristics such as sequence diversity may play a role in driving HIV-associated immune activation. We therefore sequenced proviral DNA isolated from peripheral blood mononuclear cells from HIV-infected individuals on fully suppressive antiretroviral therapy. We performed phylogenetic analyses, calculated viral diversity and divergence in the env and pol genes, and determined coreceptor tropism and the frequency of drug resistance mutations. Comprehensive immune profiling included quantification of immune cell subsets, plasma cytokine levels, and intracellular signaling responses in T cells, B cells, and monocytes. These antiretroviral therapy-treated HIV-infected individuals exhibited a wide range of diversity and divergence in both env and pol genes. However, proviral diversity and divergence in env and pol , coreceptor tropism, and the level of drug resistance did not significantly correlate with markers of immune activation. A clinical history of virologic failure was also not significantly associated with levels of immune activation, indicating that a history of virologic failure does not inexorably lead to increased immune activation as long as suppressive antiretroviral medications are provided. Overall, this study demonstrates that latent viral diversity is unlikely to be a major driver of persistent HIV-associated immune activation. IMPORTANCE Chronic immune activation, which is associated with cardiovascular disease, neurologic disease, and early aging, is likely to be a major driver of morbidity and mortality in HIV-infected individuals. Although treatment of HIV with antiretroviral medications decreases the level of immune activation, levels do not return to normal. The factors driving this persistent immune activation, particularly during effective treatment, are poorly understood. In this study, we investigated whether characteristics of the latent, integrated HIV provirus that persists during treatment are associated with immune activation. We found no relationship between latent viral characteristics and immune activation in treated individuals, indicating that qualities of the provirus are unlikely to be a major driver of persistent inflammation. We also found that individuals who had previously failed treatment but were currently effectively treated did not have significantly increased levels of immune activation, providing hope that past treatment failures do not have a lifelong “legacy” impact.

SummaryB cells produce a diverse antibody repertoire by undergoing gene rearrangements. Pathogen exposure induces the clonal expansion of B cells expressing antibodies that can bind the infectious agent. To assess human B cell responses to trivalent seasonal influenza and monovalent pandemic H1N1 vaccination, we sequenced gene rearrangements encoding the immunoglobulin heavy chain, a major determinant of epitope recognition. The magnitude of B cell clonal expansions correlates with an individual’s secreted antibody response to the vaccine, and the expanded clones are enriched with those expressing influenza-specific monoclonal antibodies. Additionally, B cell responses to pandemic influenza H1N1 vaccination and infection in different people show a prominent family of convergent antibody heavy chain gene rearrangements specific to influenza antigens. These results indicate that microbes can induce specific signatures of immunoglobulin gene rearrangements and that pathogen exposure can potentially be assessed from B cell repertoires.

SummaryIn order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. Although we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep-sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens without necessitating degenerate recognition of nonhomologous peptides.

The strategic management of service supply chains is largely undeveloped despite recent emphasis on service supply chain management as the next frontier of competitive advantage. We propose a new typology for service supply chains that focuses on the service delivery process and is based on two process-related criteria: what is being processed (i.e., people, data, or things) and how it is being processed (i.e., through transforming or transporting). With a focus on the service delivery management process, we compare and contrast the different service supply chains of our typology along four key characteristics: (a) the separability of the customer from the process, (b) the level of customer-induced uncertainty in the process, (c) the importance of providing the customer with physical access to the process, and (d) the type and degree of customer interaction with the process. We discuss managerial implications of these characteristics with respect to the overall strategic focus (cost or differentiation) and outsourcing practices for each type of service supply chain.

Adaptive immune responses often begin with the formation of a molecular complex between a T-cell receptor (TCR) and a peptide antigen bound to a major histocompatibility complex (MHC) molecule. These complexes are highly variable, however, due to the polymorphism of MHC genes, the random, inexact recombination of TCR gene segments, and the vast array of possible self and pathogen peptide antigens. As a result, it has been very difficult to comprehensively study the TCR repertoire or identify and track more than a few antigen-specific T cells in mice or humans. For mouse studies, this had led to a reliance on model antigens and TCR transgenes. The study of limited human clinical samples, in contrast, requires techniques that can simultaneously survey TCR phenotype and function, and TCR reactivity to many T-cell epitopes. Thanks to recent advances in single-cell and cytometry methodologies, as well as high-throughput sequencing of the TCR repertoire, we now have or will soon have the tools needed to comprehensively analyze T-cell responses in health and disease.

Elderly humans show decreased humoral immunity to pathogens and vaccines, yet the effects of aging on B cells are not fully known. Chronic viral infection by cytomegalovirus (CMV) is implicated as a driver of clonal T cell proliferations in some aging humans, but whether CMV or Epstein-Barr virus (EBV) infection contributes to alterations in the B cell repertoire with age is unclear. We have used high-throughput DNA sequencing of immunoglobulin heavy chain (IGH) gene rearrangements to study the B cell receptor repertoires over two successive years in 27 individuals ranging in age from 20 to 89 years. Some features of the B cell repertoire remain stable with age, but elderly subjects show increased numbers of B cells with long CDR3 regions, a trend toward accumulation of more highly mutated IgM and IgG immunoglobulin genes, and persistent clonal B cell populations in the blood. Seropositivity for CMV or EBV infection alters B cell repertoires, regardless of the individual's age: EBV infection correlates with the presence of persistent clonal B cell expansions, while CMV infection correlates with the proportion of highly mutated antibody genes. These findings isolate effects of aging from those of chronic viral infection on B cell repertoires, and provide a baseline for understanding human B cell responses to vaccination or infectious stimuli.

Background: Current in vitro lymphoma models, including three-dimensional organoids, generally contain exclusively neoplastic lymphocytes and require artificial reconstitution to recapitulate the tumor microenvironment (TME). The co-culture of syngeneic tumor-infiltrating lymphocytes (TILs) alongside endogenous primary malignant lymphocytes could be useful for modeling complex interactions in the TME, and for immunological maneuvers and therapies relying on TILs. However, such conditions for maintaining lymphomas in their syngeneic TME as a cohesive unit have remained elusive. Methods: We adapted an air-liquid interface (ALI) method that we previously described (Neal JT et al 2019 Cell) for propagating patient-derived organoids (PDOs) from primary human follicular lymphomas. Surgically excised lymphoma samples were tested for the ability to maintain lymphoma cell viability in vitro using a lymph node organoid technique. Lymph nodes containing lymphoma cells (and in one case, a PBMC sample including circulating lymphoma cells) were processed into a single cell suspension and frozen until use. Samples were thawed and prepared into immune organoids (see figure). We assessed cell composition by flow cytometry on day 7, and in a subset of samples, up to 21 days post-thaw. Results: A total of 6 patients were profiled for PDO formation, PDO composition and stability, and PDO longevity. 4 of 6 samples showed good cell viability at day 7 post-culture and in a subset of samples, up to 21 days post-culture. Cell composition was well-maintained over time, with presence of lymphoma cells (CD19+ CD10+ CD5-) easily detectable and maintenance of supporting cells of the lymph node such as T follicular helper cells (CD3+ CD4+ CXCR5+ PD-1+) and non-B, non-T cells. Supporting lymph node cells were not detected in the PBMC sample, suggesting the cell composition is related to the initial composition and not due to differentiation in vitro. Genotyping, gene expression phenotyping, and T-cell/B-cell receptor profiling data will be presented at the meeting, including accuracy of PDOs for preserving the original spectrum of these indices. Conclusions: Propagation of PDOs of primary lymphomas with endogenous immune stroma is feasible and maintains cohesive elements of the TME. This system should allow immunoncology investigations within the TME and to facilitate personalized immunotherapy testing. Fig 1: Human lymphoma organoid cultures as a model to study tumor microenvironments and immune responses in vitro. (A) Experimental schema for preparing lymphoma organoids from tumor explants. In an adapted workflow optimized for ex vivo culture of human tonsillar germinal centers (Wagar L et al, submitted), we subject cryopreserved FL samples to organoid culture. (B) An example of follicular lymphoma organoid reorganization in vitro after four days in culture. (C) Total cell viability in FL organoids for up to 21 days in culture. Six samples were tested. (D) Frequency of major cell types in FL samples after organoid culture. Although there is variation among donors' samples, an individual's cell composition is well maintained for at least 14 days in most organoids. Figure 1 Disclosures Khodadoust: Corvus Pharmaceuticals: Research Funding. Davis:Vir Biotechnology: Consultancy, Equity Ownership, Honoraria; PACT Bio: Consultancy, Equity Ownership, Honoraria; Adicet Inc: Consultancy, Equity Ownership, Honoraria; Chuga Pharmabody: Consultancy, Honoraria; Amgen: Consultancy, Research Funding; Atreca: Consultancy, Equity Ownership, Honoraria; Juno: Consultancy, Equity Ownership, Honoraria. Alizadeh:Pfizer: Research Funding; Chugai: Consultancy; Celgene: Consultancy; Gilead: Consultancy; Pharmacyclics: Consultancy; Janssen: Consultancy; Genentech: Consultancy; Roche: Consultancy.

Background: Therapeutic cancer vaccines targeting neoantigens have shown promise in early phase clinical trials for inducing tumor-specific T-cell responses in diverse tumor types. Identification of the small number of optimal cancer vaccine targets is essential to limit cost and improve efficacy of patient-specific vaccine design. Therefore, there is a need to narrow neoantigen selection to those peptides with the highest potential to induce anti-tumor immune responses, and to maximize the associated clinical benefits. The presentation of these antigens by Major Histocompatibility Complex (MHC) class I is key for prioritizing candidates. Previous algorithms to predict antigen presentation have had limited success and have primarily been trained on in-vitro binding affinity assays, or are commercial platforms not widely available for use. Methods: We previously developed MARIA (MHC Analysis with Recurrent Integrated Architecture) as a method for predicting MHC-II neoantigens [Chen B et al. 2017 ASH, and Chen et al. 2019, Nature Biotechnology, in press]; here we adapt and develop the same MARIA design for MHC-I and benchmark its performance. Specifically, we used deep-learning for predicting the likelihood of neoantigen presentation trained on presented lymphoma peptides as identified by mass-spectrometry (LC-MS/MS). MARIA-I was initially trained on >47,000 ligands we previously identified by mass-spectrometry through antigen presentation profiling of patients with mantle cell lymphomas [Khodadoust et al. 2017, Nature]. Recurrent neural network (RNN) layers within MARIA-I integrate 4 key features: peptide sequence-MHC key residues relationship, peptide-MHC binding, peptide cleavage pattern, and gene expression. Results: We internally validated MARIA-I using 10-fold cross validation, where we observed an average AUC of 0.99 for the integrated model (Fig 1a); the peptide-MHC key residues relationships conferred the largest contribution to MARIA-I performance. We also further tested MARIA-I using an external dataset of ~19,000 diverse peptides from MHC-I antigen presentation profiles of four cancer cell lines (ACC1143, HCT116, HCC1937, and SUP-B15). MARIA-I maintains above 0.92 AUC across four diverse cancer types (AUC = 0.92, 0.92, 0.96, and 0.95, respectively). Since presentation of immunogenic peptides is essential for activation of T cell effector functions, we separately tested MARIA-I's ability to identify CD8 tumor infiltrating lymphocyte responses using corresponding data from 62 patients and 7587 neoantigens [Parkhurst et al. 2019, Cancer Discovery]. Despite MARIA-I not being trained on T cell reactivity data, neoantigens known to elicit positive T cell responses had significantly higher MARIA-I scores (Fig 1b, p=6.92e-5, Mann-Whitney U test). Conclusion: MARIA-I enables accurate prediction of neoantigen presentation for MHC class I at scale. Given its generalizability, we expect MARIA-I to yield insights for development of therapeutic cancer vaccines as well as applications in transplantation and autoimmune pathology. Figure 1. MARIA-I performance on antigen presentation and identifying immunogenic peptides. a) MARIA-I and sub-model predictors evaluated on 10% held-out validation set. Merging peptide sequence, gene expression, binding, and cleavage scores yielded improvements in performance as compared to each predictor's individual ability. b) MARIA-I assigns significantly higher scores to peptides known to elicit positive CD8 T cell response (p=6.92e-5, Mann-Whitney U test). Disclosures Khodadoust: Corvus Pharmaceuticals: Research Funding. Davis:Vir Biotechnology: Consultancy, Equity Ownership, Honoraria; PACT Bio: Consultancy, Equity Ownership, Honoraria; Adicet Inc: Consultancy, Equity Ownership, Honoraria; Chuga Pharmabody: Consultancy, Honoraria; Amgen: Consultancy, Research Funding; Atreca: Consultancy, Equity Ownership, Honoraria; Juno: Consultancy, Equity Ownership, Honoraria. Levy:Five Prime: Membership on an entity's Board of Directors or advisory committees; Corvus: Membership on an entity's Board of Directors or advisory committees; Quadriga: Membership on an entity's Board of Directors or advisory committees; BeiGene: Membership on an entity's Board of Directors or advisory committees; GigaGen: Membership on an entity's Board of Directors or advisory committees; Teneobio: Membership on an entity's Board of Directors or advisory committees; Sutro: Membership on an entity's Board of Directors or advisory committees; Checkmate: Membership on an entity's Board of Directors or advisory committees; Nurix: Membership on an entity's Board of Directors or advisory committees; Dragonfly: Membership on an entity's Board of Directors or advisory committees; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; Abpro: Membership on an entity's Board of Directors or advisory committees; Apexigen: Membership on an entity's Board of Directors or advisory committees; Nohla: Membership on an entity's Board of Directors or advisory committees; Spotlight: Membership on an entity's Board of Directors or advisory committees; 47 Inc: Membership on an entity's Board of Directors or advisory committees; XCella: Membership on an entity's Board of Directors or advisory committees; Immunocore: Membership on an entity's Board of Directors or advisory committees; Walking Fish: Membership on an entity's Board of Directors or advisory committees. Altman:Personalis: Consultancy; Pfizer: Consultancy; Karius: Consultancy.

Background & Aim CTL019 (tisagenlecleucel) is an anti-CD19 genetically modified autologous T-cell therapy approved for treatment of relapsed/refractory pediatric and young adult B-cell acute lymphoblastic leukemia (ALL) and adult diffuse large B-cell lymphoma (DLBCL). For CTL019 manufactured at Penn, the product release criteria include a viability assessment. In clinical trials, viability specification for product release was ≥ 70% viable cells; whereas, for commercial tisagenlecleucel, viability specification for product release was ≥ 80%. We examined the relationship between CTL019 viability release testing and clinical outcomes. Methods, Results & Conclusion We analyzed CTL019 viability release testing in patients (pts) treated on prospective single institution clinical trials for non-Hodgkin lymphomas (NHL) (NCT02030834) and pediatric ALL clinical trials (NCT01626495, NCT02906371). The relationship of CTL019 product viability release testing and overall response, progression-free survival, overall survival, sensitivity/specificity of viability testing to predict complete response, and CAR T-cell expansion were examined. For 39 NHL pts, the median product viability was 89.8% (range: 73.7%-97.7%) and 3 pts had products with These results suggest that there is no dose-response relationship between CTL019 product viability (70-98%) and clinical outcomes.

Background & Aim With the goal of improving consistency and success of manufacturing (MFG), we analyzed the composition of apheresis products collected from patients (pts) enrolled in clinical trials of engineered T cell immunotherapies. We previously reported in a small cohort of NHL pts, that T cell cultures manufactured from fresh APH of challenging products comprised of 3:1 monocyte to lymphocytes, exhibited impaired proliferation. Microscopic observation of poorly expanding cell cultures revealed the phagocytosis of T cell stimulating anti-CD3/ anti-CD28 Dynabeads by large cells, possibly of monocyte/myeloid origin. Proliferative capacity of the T cells was rescued if the APH was cryopreserved/thawed prior to manufacture. Substantial reduction in MDSC frequency, following cryopreservation/thaw, was demonstrated by flow cytometry. Alternatively, lymphocyte enrichment via elutriation of APH removed the larger myeloid cells. Here we expand analysis of the critical quality attributes of APH products to a larger cohort of patients with hematological malignancies (HM) as well as solid tumors (ST). Methods, Results & Conclusion We analyzed 300 APH from pts on 20 clinical trials focused on HM or ST. Frequencies of lymphocytes and myeloid populations were determined via size/volume distribution on Multisizer, lineage and MDSC immunophenotyping by FACS (CD3, CD45, CD11b, CD33, HLA-DR, CD14, CD15). Population doubling levels (PDL) during ex vivo expansion were calculated at day 9 of manufacture. We report an overall 94% MFG success rate with 5 PDL. 12/19 MFG failures did not produce an infusible dose with -1.34 PDL and occurred in HM APH. APH of MFG fails showed the presence of myeloid cells that were not removed prior to MFG. APH from NHL, MM, and synovial sarcoma demonstrated MDSCs by flow cytometry. Cryopreservation/thaw and/or elutriation of APH enriched T cells from 81 % to 94%, reduced myeloid population from 38% to 11%, and removed MDSCs. Small scale test expansions comparing various MFG processes on the same APH confirmed that cryopreservation and or elutriation increases clinical MFG success. Myeloid subsets in HM APH increase the risk of MFG failure. Mitigation strategies to remove the myeloid cells to enrich for the lymphocytes can be employed, including cryopreservation or elutriation of fresh APH prior to MFG. To increase MFG feasibility, studies are continuing to investigate the effects of prior treatment on APH and the mechanism of inhibition by MDSCs.

A major breakthrough in the treatment of advanced melanoma has been the development and FDA approval of immune checkpoint inhibitors. Approximately 20% of the patients who received anti-CTLA-4 or anti-PD-1 therapy have long-term remissions. At the core of the clinical success lies the fact that cancer patients bear T lymphocytes that recognize tumor-specific antigens. It has been proposed that efficacy of immune checkpoint inhibitors is attributable, at least in part, to diversification of T-cell receptor (TCR) repertoire in peripheral circulation. However, current TCR repertoire analyses mostly rely on counting unique TCR sequences, which does not consider the degenerate nature of TCR recognition, that is, many different TCRs can recognize the same antigen peptide and the same TCR can recognize different antigen peptides. This will create roadblocks to identify recurrent TCR clones that likely recognize the same clinically relevant tumor antigen. To understand how TCR sequences encode its specificity, our lab sequenced several thousands of TCRs from T-cells enriched by peptide-major histocompatibility complex multimer (pMHC)-guided cell sorting. We established a TCR repertoire database that contains our own sequences and published TCRs with known specificity. We used this database as the training dataset for a machine learning algorithm that classified TCRs (mainly TCR beta) based on their similarity and specificity. Although the orginal algorithm—termed Grouping of lymphocyte interactions by paratope hotspots(GLIPH)—was proficient in identifying TCR clusters in a small dataset such as those generated by single-cell TCR sequences, it failed to perform reliably when applied to larger data set generated by high-throughput bulk TCR beta sequences. Most importantly, the reference sequences used by GLIPH 1.0 are insufficient when the targeted TCR dataset is much larger. The new version of GLIPH (GLIPH 2.0) was significantly improved in performance and reliability. As a proof of concept, we applied GLIPH 2.0 to TCR-sequences generated from peripheral T-cells of a cohort of melanoma patients. Each of these patients received one infusion of poly-clonal CTLs specific for HLA-A2/MART1. These autologous MART-specific CTLs were generated by priming with MART1 peptide-pulsed dendritic cells and enriched by pMHC-tetramer-guided cell sorting. MART1 peptide stimulation promotes expansion of CTLs based on TCR clonality. However, the overlap of sequences among these polyclonal CTLs is marginal. These TCR sequences were then analyzed by GLIPH and we found that MART1-specific CTLs showed significant enrichment of CDR3 motifs. As a control, we analyzed peripheral TCR repertoire from a group HLA-A2+ healthy donors and found no significant convergence in TCR sequences. This proves that GLIPH 2.0 can reliably identify TCR convergence and antigen specificity CD3 motifs from large-scale TCR beta repertoires. This algorithm can further facilitate the identification of recurrent tumor antigens in melanoma patients receiving T-cell-based immunotherapy. Citation Format: Liang Chen, Chunlin Wang, Mark Davis. Identification of specificity TCR groups of tumor antigen specific T-cells [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr PR14.

Mass cytometry enables an unprecedented number of parameters to be measured in individual cells at a high throughput, but the large dimensionality of the resulting data severely limits approaches relying on manual "gating." Clustering cells based on phenotypic similarity comes at a loss of single-cell resolution and often the number of subpopulations is unknown a priori. Here we describe ACCENSE, a tool that combines nonlinear dimensionality reduction with density-based partitioning, and displays multivariate cellular phenotypes on a 2D plot. We apply ACCENSE to 35-parameter mass cytometry data from CD8(+) T cells derived from specific pathogen-free and germ-free mice, and stratify cells into phenotypic subpopulations. Our results show significant heterogeneity within the known CD8(+) T-cell subpopulations, and of particular note is that we find a large novel subpopulation in both specific pathogen-free and germ-free mice that has not been described previously. This subpopulation possesses a phenotypic signature that is distinct from conventional naive and memory subpopulations when analyzed by ACCENSE, but is not distinguishable on a biaxial plot of standard markers. We are able to automatically identify cellular subpopulations based on all proteins analyzed, thus aiding the full utilization of powerful new single-cell technologies such as mass cytometry.

SummaryThe vast majority of currently licensed human vaccines work on the basis of long-term protective antibody responses. It is now conceivable that an antibody-dependent HIV vaccine might be possible, given the discovery of HIV broadly neutralizing antibodies (bnAbs) in some HIV-infected individuals. However, these antibodies are difficult to develop and have characteristics indicative of a high degree of affinity maturation in germinal centers (GCs). CD4+ T follicular helper (Tfh) cells are specialized for B cell help and necessary for GCs. Therefore, the development of HIV bnAbs might depend on Tfh cells. Here, we identified in normal individuals a subpopulation of circulating memory PD-1+CXCR5+CD4+ T cells that are resting memory cells most related to bona fide GC Tfh cells by gene expression profile, cytokine profile, and functional properties. Importantly, the frequency of these cells correlated with the development of bnAbs against HIV in a large cohort of HIV+ individuals.

Summary αβ T cells are an integral part of protective immunity against pathogens. After precursor cells arise in the adult bone marrow or fetal liver, they migrate to the thymus where they rearrange their T-cell receptor genes (TCR) and undergo selection on the basis of their interactions with ligands expressed by thymic stroma and other cells. Those that survive then exit the thymus to populate the peripheral immune compartment, where they patrol the blood and lymphoid systems. The composition of this pre-immune peripheral repertoire is critically important in determining the robustness of an immune response. In both mice and humans, the magnitude and diversity of a response are directly correlated with the frequency of precursor T cells. Equally relevant are the functional characteristics of these lymphocytes. Engagement of a specific antigen to the TCR activates signaling pathways in the naive T cell that result in cellular proliferation and the acquisition of particular effector functions. A portion of these persist following the resolution of infection and become memory cells. These memory cells can mount a faster and stronger response when they encounter the same antigen at a later time. As the molecular basis for TCR ligand interaction has become better defined, it is clear that some T cells can recognize multiple distinct ligands and therefore T-cell memory developed by exposure to one ligand may play a significant role in the response to a different antigen. Thus, there is an increasing focus on understanding how exposure to related or unrelated antigens influences the T-cell repertoire and impacts subsequent immunity. In this review, we discuss the issue of TCR cross-reactivity in the development of memory phenotype CD4+ T cells and the implications for pathogen-specific responses. We review both the human and mouse data and discuss the therapeutic implications of these findings in the contexts of infection and vaccination.

Celiac disease is an intestinal autoimmune disease driven by dietary gluten and gluten-specific CD4 + T-cell responses. In celiac patients on a gluten-free diet, exposure to gluten induces the appearance of gluten-specific CD4 + T cells with gut-homing potential in the peripheral blood. Here we show that gluten exposure also induces the appearance of activated, gut-homing CD8 + αβ and γδ T cells in the peripheral blood. Single-cell T-cell receptor sequence analysis indicates that both of these cell populations have highly focused T-cell receptor repertoires, indicating that their induction is antigen-driven. These results reveal a previously unappreciated role of antigen in the induction of CD8 + αβ and γδ T cells in celiac disease and demonstrate a coordinated response by all three of the major types of T cells. More broadly, these responses may parallel adaptive immune responses to viral pathogens and other systemic autoimmune diseases.