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...

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.

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.

Summary Tissue regeneration is a multi-step process mediated by diverse cellular hierarchies and states that are also implicated in tissue dysfunction and pathogenesis. Here we leveraged single-cell RNA sequencing in combination with in vivo lineage tracing and organoid models to finely map the trajectories of alveolar-lineage cells during injury repair and lung regeneration. We identified a distinct AT2-lineage population, damage-associated transient progenitors (DATPs), that arises during alveolar regeneration. We found that interstitial macrophage-derived IL-1β primes a subset of AT2 cells expressing Il1r1 for conversion into DATPs via a HIF1α -mediated glycolysis pathway, which is required for mature AT1 cell differentiation. Importantly, chronic inflammation mediated by IL-1β prevents AT1 differentiation, leading to aberrant accumulation of DATPs and impaired alveolar regeneration. Together, this stepwise mapping to cell fate transitions shows how an inflammatory niche controls alveolar regeneration by controlling stem cell fate and behavior.

Motivation Increasing numbers of large scale single cell RNA-Seq projects are leading to a data explosion, which can only be fully exploited through data integration. A number of methods have been developed to combine diverse datasets by removing technical batch effects, but most are computationally intensive. To overcome the challenge of enormous datasets, we have developed BBKNN, an extremely fast graph-based data integration algorithm. We illustrate the power of BBKNN on large scale mouse atlasing data, and favourably benchmark its run time against a number of competing methods. Availability and implementation BBKNN is available at https://github.com/Teichlab/bbknn, along with documentation and multiple example notebooks, and can be installed from pip. Supplementary information Supplementary data are available at Bioinformatics online.

A hallmark of RNA silencing is a class of approximately 22-nucleotide RNAs that are processed from double-stranded RNA precursors by Dicer. Accurate processing by Dicer is crucial for the functionality of microRNAs (miRNAs). The current model posits that Dicer selects cleavage sites by measuring a set distance from the 3′ overhang of the double-stranded RNA terminus. Here we report that human Dicer anchors not only the 3′ end but also the 5′ end, with the cleavage site determined mainly by the distance (~22 nucleotides) from the 5′ end (5′ counting rule). This cleavage requires a 5′-terminal phosphate group. Further, we identify a novel basic motif (5′ pocket) in human Dicer that recognizes the 5′-phosphorylated end. The 5′ counting rule and the 5′ anchoring residues are conserved in Drosophila Dicer-1, but not in Giardia Dicer. Mutations in the 5′ pocket reduce processing efficiency and alter cleavage sites in vitro. Consistently, miRNA biogenesis is perturbed in vivo when Dicer-null embryonic stem cells are replenished with the 5′-pocket mutant. Thus, 5′-end recognition by Dicer is important for precise and effective biogenesis of miRNAs. Insights from this study should also afford practical benefits to the design of small hairpin RNAs.

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.

Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a dataset of ~360,000 cells. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of finely phenotyped immune cell types, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. Our multitissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis, and antigen receptor sequencing.