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.

Messenger RNA encodes cellular function and phenotype. In the context of human cancer, it defines the identities of malignant cells and the diversity of tumor tissue. We studied 72,501 single-cell transcriptomes of human renal tumors and normal tissue from fetal, pediatric, and adult kidneys. We matched childhood Wilms tumor with specific fetal cell types, thus providing evidence for the hypothesis that Wilms tumor cells are aberrant fetal cells. In adult renal cell carcinoma, we identified a canonical cancer transcriptome that matched a little-known subtype of proximal convoluted tubular cell. Analyses of the tumor composition defined cancer-associated normal cells and delineated a complex vascular endothelial growth factor (VEGF) signaling circuit. Our findings reveal the precise cellular identities and compositions of human kidney tumors.

The thymus provides a nurturing environment for the differentiation and selection of T cells, a process orchestrated by their interaction with multiple thymic cell types. We used single-cell RNA sequencing to create a cell census of the human thymus across the life span and to reconstruct T cell differentiation trajectories and T cell receptor (TCR) recombination kinetics. Using this approach, we identified and located in situ CD8αα+ T cell populations, thymic fibroblast subtypes, and activated dendritic cell states. In addition, we reveal a bias in TCR recombination and selection, which is attributed to genomic position and the kinetics of lineage commitment. Taken together, our data provide a comprehensive atlas of the human thymus across the life span with new insights into human T cell development.

Measurement of the transcriptomes of single cells has been feasible for only a few years, but it has become an extremely popular assay. While many types of analysis can be carried out and various questions can be answered by single-cell RNA-seq, a central focus is the ability to survey the diversity of cell types in a sample. Unbiased and reproducible cataloging of gene expression patterns in distinct cell types requires large numbers of cells. Technological developments and protocol improvements have fueled consistent and exponential increases in the number of cells that can be studied in single-cell RNA-seq analyses. In this Perspective, we highlight the key technological developments that have enabled this growth in the data obtained from single-cell RNA-seq experiments.