Project description:Sepsis, the dysregulated host response to infection leading to organ dysfunction, arises from diverse mechanisms that are poorly resolved by sepsis as a syndromic classification, confounding immunotherapy trials. Here we delineate neutrophil and granulopoietic disturbances underlying sepsis pathophysiology. We present a whole blood single-cell multiomic sepsis response atlas (272,993 cells, n=39 individuals), revealing multiple immature neutrophil populations that were collectively immunosuppressive, inhibiting CD4+ T cell proliferation and activation in co-culture. We traced this to altered granulopoiesis using single-cell multiomic mapping of circulating hematopoietic stem cells (HSCs) (29,366 cells, n=27). We show how these features are enriched in a subset of patients, resolving a specific poor outcome endotype (sepsis response signature SRS1). SRS1 patients have increased IL1R2+ immature neutrophils, epigenetic signatures of emergency granulopoiesis transcription factors in HSCs, and STAT3 features across infectious disease settings. Our findings delineate an immunohematopoietic axis, therapeutic targets and stratified medicine approach to sepsis.
Project description:Sepsis, the dysregulated host response to infection leading to organ dysfunction, arises from diverse mechanisms that are poorly resolved by sepsis as a syndromic classification, confounding immunotherapy trials. Here we delineate neutrophil and granulopoietic disturbances underlying sepsis pathophysiology. We present a whole blood single-cell multiomic sepsis response atlas (272,993 cells, n=39 individuals), revealing multiple immature neutrophil populations that were collectively immunosuppressive, inhibiting CD4+ T cell proliferation and activation in co-culture. We traced this to altered granulopoiesis using single-cell multiomic mapping of circulating hematopoietic stem cells (HSCs) (29,366 cells, n=27). We show how these features are enriched in a subset of patients, resolving a specific poor outcome endotype (sepsis response signature SRS1). SRS1 patients have increased IL1R2+ immature neutrophils, epigenetic signatures of emergency granulopoiesis transcription factors in HSCs, and STAT3 features across infectious disease settings. Our findings delineate an immunohematopoietic axis, therapeutic targets and stratified medicine approach to sepsis.
Project description:Advancing our understanding of embryonic development is heavily dependent on identification of novel pathways or regulators. While genome-wide techniques such as RNA sequencing are ideally suited for discovering novel candidate genes, they are unable to yield spatially resolved information in embryos or tissues. Microscopy-based approaches, using for example in situ hybridization, can provide spatial information about gene expression, but are limited to analyzing one or a few genes at a time. Here, we present a method where we combine traditional histological techniques with low-input RNA sequencing and mathematical image reconstruction to generate a high-resolution genome-wide 3D atlas of gene expression in the zebrafish embryo at three developmental stages. We also demonstrate that our technique is suitable for spatially-resolved differential expression analysis in wildtype and Gli3 mutant mouse forelimbs. Importantly, our method enables searching for genes that are expressed in specific spatial patterns without manual image annotation. We envision broad applicability of RNA tomography as an accurate and sensitive approach for spatially resolved transcriptomics in whole embryos and dissected organs. To generate spatially-resolved RNA-seq data for zebrafish embryos (shield stage, 10 somites, 15 somites, 18 somites) and mouse forelimbs (E10.5), we cryosectioned samples, extracted RNA from the individual sections, and amplified and barcoded mRNA using the CEL-seq protocol (Hashimshony et al., Cell Reports, 2012) with a few modifications. Libraries were sequenced on Illumina HiSeq 2500 using 50bp paired end sequencing. Selected zebrafish libraries were sequenced on MiSeq 250bp paired-end to improve 3' annotations.
Project description:Non-hematopoietic cells contribute essentially to hematopoiesis. However, heterogeneity and spatial organization of these cells in human bone marrow remain largely uncharacterized. We used single-cell RNA sequencing (scRNA-Seq) to profile 29,325 non-hematopoietic cells and discovered nine transcriptionally distinct subtypes. We simultaneously profiled 53,417 hematopoietic cells and predicted their interactions with non-hematopoietic subsets. We employed Co-Detection by Indexing (CODEX) to spatially profile over one million single cells with a novel 53-antibody panel. We integrated scRNA-Seq and CODEX data to link cellular signaling and spatial proximity. Spatial analysis also revealed a hyperoxygenated arterio-endosteal niche for early myelopoiesis, and an adipocytic, but not endosteal or perivascular, localization for early hematopoietic stem and progenitor cells. We used our CODEX atlas to automatically annotate cell types in new bone marrow images and uncovered MSC expansion and leukemic blast/MSC-enriched spatial neighborhoods in AML patient samples. This comprehensive, spatially-resolved multiomic atlas of human bone marrow serve as a reference for future investigation of cellular interactions that drive hematopoiesis.
2024-04-24 | GSE253355 | GEO
Project description:A Single-Cell Transcriptome Atlas for Zebrafish Development