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As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4+ T/CD8+ T cells ratio. Moreover, we observed upregulation of RAC2 and PSMB9, in natural killer cells of fast progressors compared with those of nonprogressors, as revealed by both scRNA-seq and CITE-seq RNA measurement. This detailed examination of the immune microenvironment in multiple myeloma using multiple single-cell technologies revealed markers associated with multiple myeloma rapid progression which will be further characterized by the full-scale immune atlas project. Significance: scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.

It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors. We identified four main CAF populations, two of which are associated with T-cell exclusion: (i) MYH11+αSMA+ CAF, which are present in early-stage tumors and form a single cell layer lining cancer aggregates, and (ii) FAP+αSMA+ CAF, which appear in more advanced tumors and organize in patches within the stroma or in multiple layers around tumor nests. Both populations orchestrate a particular structural tissue organization through dense and aligned fiber deposition compared with T cell–permissive CAF. Yet they produce distinct matrix molecules, including collagen IV (MYH11+αSMA+ CAF) and collagen XI/XII (FAP+αSMA+ CAF). Hereby, we uncovered unique molecular programs of CAF driving T-cell marginalization, whose targeting should increase immunotherapy efficacy in patients bearing T cell–excluded tumors. Significance: The cellular and molecular programs driving T-cell marginalization in solid tumors remain unclear. Here, we describe two CAF populations associated with T-cell exclusion in human lung tumors. We demonstrate the importance of pairing molecular and spatial analysis of the tumor microenvironment, a prerequisite to developing new strategies targeting T cell–excluding CAF. See related commentary by Sherman, p. 2501. This article is highlighted in the In This Issue feature, p. 2483

Expression of cell type markers in CITE-seq and comparison of cell subset abundance between technical replicates and across different centers

supplementary table 1 shows cell type annotation markers, clinical information of patients, cross-technique comparison of cell subset abundance and expression of cell type marker genes in CITE-seq and CyTOF

Supplementary Figure from Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors

Supplementary Table from Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors

It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors. We identified four main CAF populations, two of which are associated with T-cell exclusion: (i) MYH11+αSMA+ CAF, which are present in early-stage tumors and form a single cell layer lining cancer aggregates, and (ii) FAP+αSMA+ CAF, which appear in more advanced tumors and organize in patches within the stroma or in multiple layers around tumor nests. Both populations orchestrate a particular structural tissue organization through dense and aligned fiber deposition compared with T cell–permissive CAF. Yet they produce distinct matrix molecules, including collagen IV (MYH11+αSMA+ CAF) and collagen XI/XII (FAP+αSMA+ CAF). Hereby, we uncovered unique molecular programs of CAF driving T-cell marginalization, whose targeting should increase immunotherapy efficacy in patients bearing T cell–excluded tumors.Significance:The cellular and molecular programs driving T-cell marginalization in solid tumors remain unclear. Here, we describe two CAF populations associated with T-cell exclusion in human lung tumors. We demonstrate the importance of pairing molecular and spatial analysis of the tumor microenvironment, a prerequisite to developing new strategies targeting T cell–excluding CAF.See related commentary by Sherman, p. 2501.This article is highlighted in the In This Issue feature, p. 2483

As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4+ T/CD8+ T cells ratio. Moreover, we observed upregulation of RAC2 and PSMB9, in natural killer cells of fast progressors compared with those of nonprogressors, as revealed by both scRNA-seq and CITE-seq RNA measurement. This detailed examination of the immune microenvironment in multiple myeloma using multiple single-cell technologies revealed markers associated with multiple myeloma rapid progression which will be further characterized by the full-scale immune atlas project.Significance:scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.

PURPOSE OF REVIEW New single-cell tec. hnologies developed over the past decade have considerably reshaped the biomedical research landscape, and more recently have found their way into studies probing the pathogenesis of type 1 diabetes (T1D). In this context, the emergence of mass cytometry in 2009 revolutionized immunological research in two fundamental ways that also affect the T1D world: first, its ready embrace by the community and rapid dissemination across academic and private science centers alike established a new standard of analytical complexity for the high-dimensional proteomic stratification of single-cell populations; and second, the somewhat unexpected arrival of mass cytometry awoke the flow cytometry field from its seeming sleeping beauty stupor and precipitated substantial technological advances that by now approach a degree of analytical dimensionality comparable to mass cytometry. RECENT FINDINGS Here, we summarize in detail how mass cytometry has thus far been harnessed for the pursuit of discovery studies in T1D science; we provide a succinct overview of other single-cell analysis platforms that already have been or soon will be integrated into various T1D investigations; and we briefly consider how effective adoption of these technologies requires an adjusted model for expense allocation, prioritization of experimental questions, division of labor, and recognition of scientific contributions. SUMMARY The introduction of contemporary single-cell technologies in general, and of mass cytometry, in particular, provides important new opportunities for current and future T1D research; the necessary reconfiguration of research strategies to accommodate implementation of these technologies, however, may both broaden research endeavors by fostering genuine team science, and constrain their actual practice because of the need for considerable investments into infrastructure and technical expertise.

Concerns that infection with SARS-CoV-2, the etiological agent of COVID-19, may cause new-onset diabetes persist amidst an evolving research landscape, and precise risk assessment is hampered by at times conflicting evidence. Here, leveraging comprehensive single-cell analyses of in vitro SARS-CoV-2-infected human pancreatic islets, we demonstrate that productive infection is strictly dependent on the SARS-CoV-2 entry receptor ACE2 and targets all pancreatic cell types. Importantly, the infection remains highly circumscribed, largely non-cytopathic, and despite high viral burden in infected subsets, promotes only modest cellular perturbations and inflammatory responses. Similar experimental outcomes are also observed after islet infection with endemic coronaviruses. Thus, the limits of pancreatic SARS-CoV-2 infection, even under in vitro conditions of enhanced virus exposure, do not support the proposition that in vivo targeting of beta cells by SARS-CoV-2 precipitates new-onset diabetes. If restricted pancreatic damage accrued by COVID-19 increases cumulative diabetes risk, however, remains to be evaluated. Funding: These efforts were supported by JDRF 3-PDF-2018-575-A-N (V.v.d.H.); NIH/NIDDK R01DK12392, NIH/NIAID P01AI042288 and NIH/NIAID U54AI142766-S1 (M.A.A.); NIH/NIAID Center of Excellence for Influenza Research and Response/Center for Research for Influenza Pathogenesis and Transmission contract # 75N93019R00028, NIH/NIAID U19AI135972 (supplement), Defense Advanced Research Projects Agency HR0011-19-2-0020, JPB Foundation, and Open Philanthropy Project # 2020-215611 (5384), Anonymous (A.G.-S.); NIH/NIAID R01AI151029 and NIA/NIAID U01AI150748 (B.R.R.); NIH/NIDDK R01DK130425 (M.S.); and NIH/NIAID R01AI134971, NIH/NIDDK U01DK123716, NIH/NIDDK U01DK104162, NIH/NIDDK P30DK020541 and NIH/NIDDK R01DK130425 (D.H.). Funding: The AG-S laboratory has received research support from Pfizer, Senhwa Biosciences, Kenall Manufacturing, Avimex, Johnson & Johnson, Dynavax, 7Hills Pharma, Pharmamar, ImmunityBio, Accurius, Nanocomposix, Hexamer, N-fold LLC, Model Medicines and Merck, outside of the reported work. Declaration of Interests: AG-S has consulting agreements for the following companies involving cash and/or stock: Vivaldi Biosciences, Contrafect, 7Hills Pharma, Avimex, Vaxalto, Pagoda, Accurius, Esperovax, Farmak, Applied Biological Laboratories and Pfizer, outside of the reported work. AG-S is inventor on patents and patent applications on the use of antivirals and vaccines for the treatment and prevention of virus infections and cancer, owned by the Icahn School of Medicine at Mount Sinai, New York, outside of the reported work. All other authors declare no conflict of interest. Ethics Approval Statement: Our study is considered “not human subjects research” since all donor islet preparations were provided as de-identified tissue specimens by a commercial purveyor

While CRISPR screens are helping uncover genes regulating many cell-intrinsic processes, existing approaches are suboptimal for identifying extracellular gene functions, particularly in the tissue context. Here, we developed an approach for spatial functional genomics called Perturb-map. We applied Perturb-map to knock out dozens of genes in parallel in a mouse model of lung cancer and simultaneously assessed how each knockout influenced tumor growth, histopathology, and immune composition. Moreover, we paired Perturb-map and spatial transcriptomics for unbiased analysis of CRISPR-edited tumors. We found that in Tgfbr2 knockout tumors, the tumor microenvironment (TME) was converted to a fibro-mucinous state, and T cells excluded, concomitant with upregulated TGFβ and TGFβ-mediated fibroblast activation, indicating that TGFβ-receptor loss on cancer cells increased TGFβ bioavailability and its immunosuppressive effects on the TME. These studies establish Perturb-map for functional genomics within the tissue at single-cell resolution with spatial architecture preserved and provide insight into how TGFβ responsiveness of cancer cells can affect the TME.

Mass cytometry uniquely combines the principles of mass spectrometry and flow cytometry for high dimensional profiling of immune cells at a single cell level. Using isotopically conjugated antibodies, mass cytometry overcomes the limitations of spectral overlap associated with flow cytometry and allows for deeper single cell characterization of complex biospecimens using more cellular markers. However, the nature of mass spectrometry-based single cell measurements requires specific considerations in acquiring and processing data. This chapter provides an overview of how to optimally acquire mass cytometry data and how to process this data for subsequent analysis and characterization of cell populations.

Checkpoint blockade therapies have improved cancer treatment, but such immunotherapy regimens fail in a large subset of patients. Conventional type 1 dendritic cells (DC1s) control the response to checkpoint blockade in preclinical models and are associated with better overall survival in patients with cancer, reflecting the specialized ability of these cells to prime the responses of CD8

In the thymus, antigen presenting cells (APCs) namely, medullary thymic epithelial cells (mTECs) and thymic dendritic cells (tDCs) regulate T cell tolerance through elimination of autoreactive T cells and production of thymic T regulatory (tTreg) cells. How the different APCs in the thymus share the burden of tolerazing the emerging T cell repertoire remains unclear. For example, while mutations that inhibit mTEC development or function associate with peripheral autoimmunity, the role of tDCs in organ-specific autoimmunity and tTreg cell production remains controversial. In this report we used mice depleted of mTECs and/or CD8α+ DCs, to examine the contributions of these cell populations in thymic tolerance. We found that while mice depleted of CD8α+ DCs or mTECs were normal or developed liver inflammation respectively, combined depletion of mTECs and CD8α+ DCs resulted in overt peripheral autoimmunity. The autoimmune manifestations in mice depleted of both mTECs and CD8α+ cDCs associated with increased percentages of CD4+ and CD8+ T cells in the thymus. In contrast, while mTEC depletion resulted in reduced percentages of tTreg cells, no additional effect was observed when CD8α+ DCs were also depleted. These results reveal that: 1) mTECs and CD8α+ DCs cooperatively safeguard against peripheral autoimmunity through thymic T cell deletion; 2) CD8α+ DCs are dispensable for tTreg cell production, whereas mTECs play a non-redundant role in this process; 3) mTECs and CD8α+ DCs make unique contributions to tolerance induction that cannot be compensated for by other thymic APCs such as migratory SIRPα+ or plasmacytoid DCs.

Mass cytometry offers the advantage of allowing the simultaneous measurement of a greater number parameters than conventional flow cytometry. However, to date, mass cytometry has lacked a reliable alternative to the light scatter properties that are commonly used as a cell size metric in flow cytometry (forward scatter intensity—FSC). Here, we report the development of two plasma membrane staining assays to evaluate mammalian cell size in mass cytometry experiments. One is based on wheat germ agglutinin (WGA) staining and the other on Osmium tetroxide (OsO4) staining, both of which have preferential affinity for cell membranes. We first perform imaging and flow cytometry experiments to establish a relationship between WGA staining intensity and traditional measures of cell size. We then incorporate WGA staining in mass cytometry analysis of human whole blood and show that WGA staining intensity has reproducible patterns within and across immune cell subsets that have distinct cell sizes. Lastly, we stain PBMCs or dissociated lung tissue with both WGA and OsO4 ; mass cytometry analysis demonstrates that the two staining intensities correlate well with one another. We conclude that both WGA and OsO4 may be used to acquire cell size-related parameters in mass cytometry experiments, and expect these stains to be broadly useful in expanding the range of parameters that can be measured in mass cytometry experiments.

Multiparametric flow cytometry is a powerful technique that allows the quantification and characterization of heterogeneous populations of cells. Advances in flow cytometric instrumentation, software, and reagents are occurring at a rapid pace, and flow cytometric methods are increasingly being applied to better understand cellular responses associated with a diverse array of disease conditions. This chapter provides an overview of some common applications of flow cytometry in characterizing mouse models of allergic airway disease.

Several members of the NLR family of sensors activate innate immunity. In contrast, we found here that NLRC3 inhibited Toll-like receptor (TLR)-dependent activation of the transcription factor NF-κB by interacting with the TLR signaling adaptor TRAF6 to attenuate Lys63 (K63)-linked ubiquitination of TRAF6 and activation of NF-κB. We used bioinformatics to predict interactions between NLR and TRAF proteins, including interactions of TRAF with NLRC3. In vivo, macrophage expression of Nlrc3 mRNA was diminished by the administration of lipopolysaccharide (LPS) but was restored when cellular activation subsided. To assess biologic relevance, we generated Nlrc3(-/-) mice. LPS-treated Nlrc3(-/-) macrophages had more K63-ubiquitinated TRAF6, nuclear NF-κB and proinflammatory cytokines. Finally, LPS-treated Nlrc3(-/-) mice had more signs of inflammation. Thus, signaling via NLRC3 and TLR constitutes a negative feedback loop. Furthermore, prevalent NLR-TRAF interactions suggest the formation of a 'TRAFasome' complex.

Toll-like receptors (TLR) play an integral role in bridging the innate and adaptive response. The stimulation of TLRs on antigen presenting cells promotes their maturation through the upregulation of MHC class II molecules, costimulatory ligands, the release of pro-inflammatory cytokines. Emerging data support the presence of TLR2, 3, 5, 8 and 9 on non-regulatory CD4+ T cells. Our group has shown the direct ligation of TLR 9 on activated CD4+ T cells promotes survival and proliferation through the production of IL-2 and the activation of PI3K and NF-κB-dependent pathways. Using mice deficient in MyD88, TLR9 and TLR3, we investigated the effects of TLR ligation on T-cell costimulatory receptor expression. We found that stimulation of activated CD4+ T cells with TLR ligands leads to the selective upregulation of costimulatory receptors in both a MyD88 and TLR9 dependent manner. Both CpG DNA and dsRNA synthetic analog poly(I:C) enhanced the expression of OX40, GITR, CTLA-4 and CD28 in activated CD4+ T cells. Furthermore, responses to CpG DNA were TLR 9 and MyD88 dependent, although responses to poly(I:C) were not dependent on TLR3. Ongoing studies examine the functional consequences of TLR-enhanced costimulatory receptor expression in T cells and focus on its contribution to effector function and memory cell formation. This work is funded by NIH grant (R01-AI-062789) to L.A.T.

Myeloid differentiation protein 88 (MyD88) is an adaptor protein that is required for signaling through most Toll-like receptors (TLRs) as well as the IL-1R family. While these pathways are primarily considered in cells of the innate immune system, TLRs are also expressed by hematopoietic stem cells (HSCs) and progenitor cells. We sought to examine the potential importance of MyD88 during hematopoietic development. We find that bone marrow from WT and Myd88-/- C57BL/6 mice contains comparable numbers of HSCs, which give rise to differentiated progenitors with equivalent efficiency in vitro. However, following a competitive mixed bone marrow transplant (BMT) into lethally irradiated recipients, WT HSCs display a significant advantage over Myd88-/- HSCs, resulting in a stable predominance of WT-derived cells in the reconstituted myeloid and lymphoid compartments. This skewed ratio of mature WT to Myd88-/- cells in the periphery of reconstituted mice is apparent in all developmental stages including the earliest long term HSCs. Interestingly, we find that WT HSCs do not exhibit this advantage over Myd88-/- HSCs following competitive BMT into non-irradiated recipients. Overall, our data suggest that factors associated with irradiation, such as inflammation, act on HSCs in a MyD88-dependent fashion to promote long-term engraftment of transplanted bone marrow.