The Cancer Genome Atlas revealed the genomic landscapes of human cancers. In parallel, immunotherapy is transforming the treatment of advanced cancers. Unfortunately, the majority of patients do not respond to immunotherapy, making the identification of predictive markers and the mechanisms of resistance an area of intense research. To increase our understanding of tumor-immune cell interactions, we characterized the intratumoral immune landscapes and the cancer antigenomes from 20 solid cancers and created The Cancer Immunome Atlas (https://tcia.at/). Cellular characterization of the immune infiltrates showed that tumor genotypes determine immunophenotypes and tumor escape mechanisms. Using machine learning, we identified determinants of tumor immunogenicity and developed a scoring scheme for the quantification termed immunophenoscore. The immunophenoscore was a superior predictor of response to anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) and anti-programmed cell death protein 1 (anti-PD-1) antibodies in two independent validation cohorts. Our findings and this resource may help inform cancer immunotherapy and facilitate the development of precision immuno-oncology.

During early human pregnancy, the fetal placenta implants into the uterine mucosa (decidua)where placental trophoblast cells intermingle and communicate with maternal cells. Trophoblastdecidual interactions underlie common diseases of pregnancy including pre-eclampsia and stillbirth. Here, we profile transcriptomes of ~70,000 single cells from first trimester placentas with matched maternal blood and decidual cells. The cellular composition of human decidua reveals new subsets of perivascular and stromal cells, which are located in distinct decidual layers.There are three major subsets of decidual NK cells, with distinctive immunomodulatory and chemokine profiles. We develop a repository of ligand-receptor complexes (https://cellphonedb.org/) and a statistical tool to predict the cell-type specificity of cell-cell communication via these molecular interactions. This identifies many regulatory interactions that prevent any damaging innate or adaptive immune responses in this environment. Our single cell atlas of the maternal-fetal interface reveals the cellular organization and interactions critical for placentation and reproductive success.During early pregnancy, the uterine mucosal lining, the endometrium, is transformed into decidua under the influence of progesterone. Decidualisation results from a complex and well-orchestrated differentiation program that involves all cellular elements of the mucosa: stromal, glandular, and immune cells, including the distinctive decidual Natural Killer cells (dNK) 1,2 . The blastocyst implants into the decidua and initially, before arterial connections are established, uterine glands are the source of histotrophic nutrition in the placenta 3,4 . Following implantation, placental extravillous trophoblast cells (EVT) invade through the decidua and move towards the spiral arteries, where they destroy the smooth muscle media and transform the arteries into high conductance vessels 5 . Balanced regulation of EVT invasion is critical to pregnancy success: arteries must be sufficiently transformed, but excessive invasion prevented, to ensure correct allocation of resources to both mother and baby 6 . The pivotal regulatory role of the decidua is obvious from the life-threatening, uncontrolled, trophoblast invasion that occurs when the decidua is absent as when the placenta implants on a previous cesarean section scar 7 .EVT have a unique HLA profile: they do not express the dominant T cell ligands, class I HLA-A and HLA-B or class II molecules 8,9 , but do express HLA-G and HLA-E and polymorphic HLA-C class I molecules. These trophoblast HLA ligands have receptors expressed by the dominant decidual immune cells, dNK, including maternal killer immunoglobulin-like receptors (KIR), that bind HLA-C molecules 10,11 . Certain combinations of maternal KIR and fetal HLA-C genetic variants are associated with pregnancy disorders such as pre-eclampsia, where trophoblast invasion is deficient 12 . However, detailed understanding of the cellular interactions in the decidua supporting early...

CellPhoneDB combines an interactive database and a statistical framework for the exploration of ligand-receptor interactions inferred from single cell transcriptomics measurements.

Currently there are no effective antifibrotic therapies for liver cirrhosis, a major killer worldwide. To obtain a cellular resolution of directly-relevant pathogenesis and to inform therapeutic design, we profile the transcriptomes of over 100,000 human single cells, yielding molecular definitions for non-parenchymal cell types present in healthy and cirrhotic human liver. We uncover a novel scar-associated TREM2 + CD9 + macrophage subpopulation, which expands in liver fibrosis, differentiates from circulating monocytes and is pro-fibrogenic. We also define novel ACKR1 + and PLVAP + endothelial cells which expand in cirrhosis, are topographically scar-restricted and enhance leucocyte transmigration. Multi-lineage ligand-receptor modelling of interactions between the novel scar-associated macrophages, endothelial cells and PDGFRα + collagenproducing mesenchymal cells reveals intra-scar activity of several pro-fibrogenic pathways including TNFRSF12A, PDGFR and NOTCH signalling. Our work dissects unanticipated aspects of the cellular and molecular basis of human organ fibrosis at a single-cell level, and provides the conceptual framework required to discover rational therapeutic targets in liver cirrhosis. Recent estimates suggest that 844 million people worldwide have chronic liver disease, with two million deaths per year and a rising incidence 1. Iterative liver injury secondary to any cause leads to progressive fibrosis ultimately resulting in liver cirrhosis. Importantly, the degree of liver fibrosis predicts adverse patient outcomes 2. Hence, effective antifibrotic therapies for patients with chronic liver disease are urgently required 3,4. Liver fibrosis involves a complex interplay between multiple non-parenchymal cell (NPC) lineages including immune, endothelial and mesenchymal cells spatially located within areas of scarring, termed the fibrotic niche. Despite progress in our understanding of liver fibrogenesis accrued using rodent models, there remains a significant 'translational gap' Ramachandran et al.

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Definitive haematopoiesis in the fetal liver supports self-renewal and differentiation of haematopoietic stem cells/multipotent progenitors (HSC/MPPs) but remains poorly defined in humans. Using single cell transcriptome profiling of ~140,000 liver and ~74,000 skin, kidney and yolk sac cells, we identify the repertoire of human blood and immune cells during development. We infer differentiation trajectories from HSC/MPPs and evaluate the impact of tissue microenvironment on blood and immune cell development. We reveal physiological erythropoiesis in fetal skin and the presence of mast cells, NK and ILC precursors in the yolk sac. We demonstrate a shift in fetal liver haematopoietic composition during gestation away from being erythroid-predominant, accompanied by a parallel change in HSC/MPP differentiation potential, which we functionally validate. Our integrated map of fetal liver haematopoiesis provides a blueprint for the study of paediatric blood and immune disorders, and a valuable reference for harnessing the therapeutic potential of HSC/MPPs.

Recent advances in genome sequencing technologies provide unprecedented opportunities to characterize individual genomic landscapes and identify mutations relevant for diagnosis and therapy. Specifically, whole-exome sequencing using next-generation sequencing (NGS) technologies is gaining popularity in the human genetics community due to the moderate costs, manageable data amounts and straightforward interpretation of analysis results. While whole-exome and, in the near future, whole-genome sequencing are becoming commodities, data analysis still poses significant challenges and led to the development of a plethora of tools supporting specific parts of the analysis workflow or providing a complete solution. Here, we surveyed 205 tools for whole-genome/whole-exome sequencing data analysis supporting five distinct analytical steps: quality assessment, alignment, variant identification, variant annotation and visualization. We report an overview of the functionality, features and specific requirements of the individual tools. We then selected 32 programs for variant identification, variant annotation and visualization, which were subjected to hands-on evaluation using four data sets: one set of exome data from two patients with a rare disease for testing identification of germline mutations, two cancer data sets for testing variant callers for somatic mutations, copy number variations and structural variations, and one semi-synthetic data set for testing identification of copy number variations. Our comprehensive survey and evaluation of NGS tools provides a valuable guideline for human geneticists working on Mendelian disorders, complex diseases and cancers.

The skin confers biophysical and immunological protection through a complex cellular network established early in embryonic development. We profiled the transcriptomes of more than 500,000 single cells from developing human fetal skin, healthy adult skin, and adult skin with atopic dermatitis and psoriasis. We leveraged these datasets to compare cell states across development, homeostasis, and disease. Our analysis revealed an enrichment of innate immune cells in skin during the first trimester and clonal expansion of disease-associated lymphocytes in atopic dermatitis and psoriasis. We uncovered and validated in situ a reemergence of prenatal vascular endothelial cell and macrophage cellular programs in atopic dermatitis and psoriasis lesional skin. These data illustrate the dynamism of cutaneous immunity and provide opportunities for targeting pathological developmental programs in inflammatory skin diseases.