Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM

The orchestrated action of genes controls complex biological phenotypes, yet the systematic discovery of gene and drug combinations that modulate these phenotypes in human cells is labor intensive and challenging to scale. Here, we created a platform for the massively parallel screening of barcoded combinatorial gene perturbations in human cells and translated these hits into effective drug combinations. This technology leverages the simplicity of the CRISPR-Cas9 system for multiplexed targeting of specific genomic loci and the versatility of combinatorial genetics en masse (CombiGEM) to rapidly assemble barcoded combinatorial genetic libraries that can be tracked with high-throughput sequencing. We applied CombiGEM-CRISPR to create a library of 23,409 barcoded dual guide-RNA (gRNA) combinations and then perform a high-throughput pooled screen to identify gene pairs that inhibited ovarian cancer cell growth when they were targeted. We validated the growth-inhibiting effects of specific gene sets, including epigenetic regulators KDM4C/BRD4 and KDM6B/BRD4, via individual assays with CRISPR-Cas–based knockouts and RNA-interference–based knockdowns. We also tested small-molecule drug pairs directed against our pairwise hits and showed that they exerted synergistic antiproliferative effects against ovarian cancer cells. We envision that the CombiGEM-CRISPR platform will be applicable to a broad range of biological settings and will accelerate the systematic identification of genetic combinations and their translation into novel drug combinations that modulate complex human disease phenotypes.National Institutes of Health (U.S.) (Grants DP2OD008435, P50GM098792, and R01 NS089076)United States. Office of Naval Research (Grant N00014-13-1-0424)United States. Defense Threat Reduction AgencyLawrence Ellison Foundation (New Scholar in Aging Award)Croucher FoundationNatural Sciences and Engineering Research Council of Canada (Postdoctoral Fellowship

Augmentation of HIV-specific T cell function by immediate treatment of hyperacute HIV-1 infection

Sustained viremia after acute HIV infection is associated with profound CD4⁺ T cell loss and exhaustion of HIV-specific CD8⁺ T cell responses. To determine the impact of combination antiretroviral therapy (cART) on these processes, we examined the evolution of immune responses in acutely infected individuals initiating treatment before peak viremia. Immediate treatment of Fiebig stages I and II infection led to a rapid decline in viral load and diminished magnitude of HIV-specific (tetramer⁺) CD8⁺ T cell responses compared to untreated donors. There was a strong positive correlation between cumulative viral antigen exposure before full cART-induced suppression and immune responses measured by MHC class I tetramers, IFN-γ ELISPOT, and CD8⁺ T cell activation. HIV-specific CD8⁺ T responses of early treated individuals were characterized by increased CD127 and BCL-2 expression, greater in vitro IFN-γ secretion, and enhanced differentiation into effector memory (Tₑₘ) cells. Transcriptional analysis of tetramer⁺ CD8⁺ T cells from treated persons revealed reduced expression of genes associated with activation and apoptosis, with concurrent up-regulation of prosurvival genes including BCL-2, AXL, and SRC. Early treatment also resulted in robust HIV-specific CD4⁺ T cell responses compared to untreated HIV-infected individuals. Our data show that limiting acute viremia results in enhanced functionality of HIV-specific CD4⁺ and CD8⁺ T cells, preserving key antiviral properties of these cells.National Institute of Health (U.S.) (5U24AI118672)National Institute of Health (U.S.) (1U54CA217377)National Institute of Health (U.S.) (1R33CA202820)National Institute of Health (U.S.) (2U19AI089992)National Institute of Health (U.S.) (1R01HL134539)National Institute of Health (U.S.) (2RM1HG006193)National Institute of Health (U.S.) (2R01HL095791)National Institute of Health (U.S.) (P01AI039671)Bill and Melinda Gates Foundation (OPP1139972

A Single Human VH-gene Allows for a Broad-Spectrum Antibody Response Targeting Bacterial Lipopolysaccharides in the Blood

B cell receptors (BCRs) display a combination of variable (V)-gene-encoded complementarity determining regions (CDRs) and adaptive/hypervariable CDR3 loops to engage antigens. It has long been proposed that the former tune for recognition of pathogens or groups of pathogens. To experimentally evaluate this within the human antibody repertoire, we perform immune challenges in transgenic mice that bear diverse human CDR3 and light chains but are constrained to different human VH-genes. We find that, of six commonly deployed VH sequences, only those CDRs encoded by IGHV1-2∗02 enable polyclonal antibody responses against bacterial lipopolysaccharide (LPS) when introduced to the bloodstream. The LPS is from diverse strains of gram-negative bacteria, and the VH-gene-dependent responses are directed against the non-variable and universal saccrolipid substructure of this antigen. This reveals a broad-spectrum anti-LPS response in which germline-encoded CDRs naturally hardwire the human antibody repertoire for recognition of a conserved microbial target

Germline-Encoded Affinity for Cognate Antigen Enables Vaccine Amplification of a Human Broadly Neutralizing Response against Influenza Virus

Antibody paratopes are formed by hypervariable complementarity-determining regions (CDRH3s) and variable gene-encoded CDRs. The latter show biased usage in human broadly neutralizing antibodies (bnAbs) against both HIV and influenza virus, suggesting the existence of gene-endowed targeting solutions that may be amenable to pathway amplification. To test this, we generated transgenic mice with human CDRH3 diversity but simultaneously constrained to individual user-defined human immunoglobulin variable heavy-chain (VH) genes, including IGHV1-69, which shows biased usage in human bnAbs targeting the hemagglutinin stalk of group 1 influenza A viruses. Sequential immunization with a stalk-only hemagglutinin nanoparticle elicited group 1 bnAbs, but only in IGHV1-69 mice. This VH-endowed response required minimal affinity maturation, was elicited alongside pre-existing influenza immunity, and when IGHV1-69 B cells were diluted to match the frequency measured in humans. These results indicate that the human repertoire could, in principle, support germline-encoded bnAb elicitation using a single recombinant hemagglutinin immunogen.NIH (Grants 1DP2OD020839, 2U19AI089992, 1U54CA217377, P01AI039671, 5U24AI118672, 2RM1HG006193, 1R33CA202820, 2R01HL095791, 1R01AI138546, 1R01HL126554, 1R01DA046277, 2R01HL095791)Bill and Melinda Gates Foundation (Grants OPP1139972 and BMGF OPP1116944

A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages

We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function—including Granzyme B—are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology.National Institutes of Health (U.S.) (Contract R21AI110787)National Cancer Institute (U.S.). Physical Sciences Oncology Center (U54CA143874)National Cancer Institute (U.S.) (Koch Institute Support (Core) Grant P30-CA14051)National Science Foundation (U.S.). Graduate Research FellowshipNational Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service Award F32CA1800586)Kinship Foundation. Searle Scholars ProgramBeckman Young Investigator ProgramNational Institutes of Health (U.S.) (New Innovator Award DP2 OD020839

Allergic inflammatory memory in human respiratory epithelial progenitor cells

Barrier tissue dysfunction is a fundamental feature of chronic human inflammatory diseases [superscript 1]. Specialized subsets of epithelial cells—including secretory and ciliated cells—differentiate from basal stem cells to collectively protect the upper airway [superscript 2–4]. Allergic inflammation can develop from persistent activation [superscript 5] of type 2 immunity [superscript 6] in the upper airway, resulting in chronic rhinosinusitis, which ranges in severity from rhinitis to severe nasal polyps [superscript 7]. Basal cell hyperplasia is a hallmark of severe disease [superscript 7–9], but it is not known how these progenitor cells [superscript 2,10,11] contribute to clinical presentation and barrier tissue dysfunction in humans. Here we profile primary human surgical chronic rhinosinusitis samples (18,036 cells, n = 12) that span the disease spectrum using Seq-Well for massively parallel single-cell RNA sequencing [superscript 12], report transcriptomes for human respiratory epithelial, immune and stromal cell types and subsets from a type 2 inflammatory disease, and map key mediators. By comparison with nasal scrapings (18,704 cells, n = 9), we define signatures of core, healthy, inflamed and polyp secretory cells. We reveal marked differences between the epithelial compartments of the non-polyp and polyp cellular ecosystems, identifying and validating a global reduction in cellular diversity of polyps characterized by basal cell hyperplasia, concomitant decreases in glandular cells, and phenotypic shifts in secretory cell antimicrobial expression. We detect an aberrant basal progenitor differentiation trajectory in polyps, and propose cell-intrinsic [superscript 13], epigenetic [superscript 14,15] and extrinsic factors [superscript 11,16,17] that lock polyp basal cells into this uncommitted state. Finally, we functionally demonstrate that ex vivo cultured basal cells retain intrinsic memory of IL-4/IL-13 exposure, and test the potential for clinical blockade of the IL-4 receptor α-subunit to modify basal and secretory cell states in vivo. Overall, we find that reduced epithelial diversity stemming from functional shifts in basal cells is a key characteristic of type 2 immune-mediated barrier tissue dysfunction. Our results demonstrate that epithelial stem cells may contribute to the persistence of human disease by serving as repositories for allergic memories. KNational Institutes of Health (U.S.) (Grant 1DP2OD020839)National Institutes of Health (U.S.) (Grant 2U19AI089992)National Institutes of Health (U.S.) (Grant 1U54CA217377)National Institutes of Health (U.S.) (Grant P01AI039671)National Institutes of Health (U.S.) (Grant 5U24AI118672)National Institutes of Health (U.S.) (Grant 2RM1HG006193)National Institutes of Health (U.S.) (Grant 1R33CA202820)National Institutes of Health (U.S.) (Grant 2R01HL095791)National Institutes of Health (U.S.) (Grant 1R01AI138546)National Institutes of Health (U.S.) (Grant 1R01HL126554)National Institutes of Health (U.S.) (Grant 1R01DA046277)National Institutes of Health (U.S.) (Grant 2R01HL095791)Bill & Melinda Gates Foundation (Grant OPP1139972)Bill & Melinda Gates Foundation (Grant OPP1116944)National Institutes of Health (U.S.) (Grant 2R01GM081871–09 )National Cancer Institute (U.S.) (Grant P30-CA14051)National Institutes of Health (U.S.). Center for AIDS Research (Award P30 AI060354

Antiviral CD8⁺ T Cells Restricted by Human Leukocyte Antigen Class II Exist during Natural HIV Infection and Exhibit Clonal Expansion

CD8⁺ T cell recognition of virus-infected cells is characteristically restricted by major histocompatibility complex (MHC) class I, although rare examples of MHC class II restriction have been reported in Cd4-deficient mice and a macaque SIV vaccine trial using a recombinant cytomegalovirus vector. Here, we demonstrate the presence of human leukocyte antigen (HLA) class II-restricted CD8⁺ T cell responses with antiviral properties in a small subset of HIV-infected individuals. In these individuals, T cell receptor β (TCRβ) analysis revealed that class II-restricted CD8⁺ T cells underwent clonal expansion and mediated killing of HIV-infected cells. In one case, these cells comprised 12% of circulating CD8⁺ T cells, and TCRα analysis revealed two distinct co-expressed TCRα chains, with only one contributing to binding of the class II HLA-peptide complex. These data indicate that class II-restricted CD8⁺ T cell responses can exist in a chronic human viral infection, and may contribute to immune control. Keywords: HIV; TCR; CD8⁺ T cells; vaccines; HLA;MHC class IINational Institutes of Health (U.S.) (Award DP2 OD020839)National Institutes of Health (U.S.) (Award U24 AI11862-01

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.National Cancer Institute (U.S.) (1U24CA180922)National Cancer Institute (U.S.) (P30-CA14051