Macrophages are hematopoietic cells critical for innate immune defense, but also control organ homeostasis in a tissue-specific manner. Tissue-resident macrophages, therefore, provide a well-defined model to study the impact of ontogeny and microenvironment on chromatin state. Here, we profile the dynamics of four histone modifications across seven tissue-resident macrophage populations, as well as monocytes and neutrophils. We identify 12,743 macrophage-specific enhancers and establish that tissue-resident macrophages have distinct enhancer landscapes. Our work suggests that a combination of tissue and lineage-specific transcription factors form the regulatory networks controlling chromatin specification in tissue-resident macrophages. The environment has the capacity to alter the chromatin landscape of macrophages derived from transplanted adult bone marrow in vivo and even differentiated macrophages are reprogramed when transferred into a new tissue. Altogether, these data provide a comprehensive view of macrophage regulation and highlight the importance of microenvironment along with pioneer factors in orchestrating macrophage identity and plasticity. Overall design: 7 tissue-resident macrophage populations were isolated, as well as monocytes and neutrophils, and transcriptome analysis was performed. Experiment was done in duplicates.
Tissue-resident macrophage enhancer landscapes are shaped by the local microenvironment.
No sample metadata fields
View SamplesDevelopmental neuronal remodeling is an evolutionarily conserved mechanism required for accurate wiring of mature nervous systems. Despite its fundamental role in neurodevelopment and proposed contribution to various neuropsychiatric disorders, the mechanisms instructing remodeling are only partially known. Here, we uncover the fine temporal transcriptional landscape of a stereotypic remodeling event - that of the Drosophila mushroom body ? neurons. To enrich and complement this developmental expression atlas, we also sequenced developing ? neurons perturbed for three key transcription factors known to regulate pruning. Together, these datasets allowed us to construct the developmental and temporal framework of transcriptional modules that together drive remodeling. Moreover, we identified 10 DNA binding proteins that are involved in various aspects of remodeling, and describe their hierarchical relationships. Overall, this study provides the first broad and detailed molecular insight into the complex regulatory dynamics of developmental neuronal remodeling. Overall design: Transcriptional profiling of drosophila ? neurons during development and when perturbed by EcR-DN, E75 RNAi or Sox14 RNAi. Other adult neurons and astrocyte-like cells also sequenced.
Combining Developmental and Perturbation-Seq Uncovers Transcriptional Modules Orchestrating Neuronal Remodeling.
Specimen part, Cell line, Subject
View SamplesAlzheimer's disease (AD) is a heterogeneous disorder with multiple etiologies. Harnessing the immune system by blocking the programmed cell death receptor (PD)-1 pathway in an amyloid beta mouse model was shown to evoke a sequence of immune responses that lead to disease modification. Here, blocking PD-L1, a PD-1 ligand, was found to have similar efficacy to that of PD-1 blocking in disease modification, in both animal models of AD and of tauopathy. Targeting PD-L1 in a tau-driven disease model resulted in increased immunomodulatory monocyte-derived macrophages within the brain parenchyma. Single cell RNA-seq revealed that the homing macrophages expressed unique scavenger molecules including macrophage scavenger receptor 1 (MSR1), which was shown here to be required for the effect of PD-L1 blockade in disease modification. Overall, our results demonstrate that immune checkpoint blockade targeting the PD-1/PD-L1 pathway leads to modification of common factors that go awry in AD and dementia, and thus can potentially provide an immunotherapy to help combat these diseases. Overall design: Cell populations were sorted with FACSAriaIII (BD Biosciences, San Jose, CA). Prior to sorting, all samples were filtered through a 40-µm nylon mesh. For the isolation of monocytes-derived macrophages, samples were gated for CD45high and CD11bhigh (Brilliant-violet-421, 1:150, 30-F11, Biolegend Inc. San Diego, CA; APC CD11b, 1:100, M1/70, eBioscience), while excluding doublets. Isolated cells were single cell sorted into 384-well cell capture plates containing 2?µL of lysis solution and barcoded poly(T) reverse-transcription (RT) primers for single-cell RNA-seq84. Four empty wells were designated in each 384-well plate as a no-cell control during data analysis. Immediately after sorting, each plate was spun down to ensure cell immersion into the lysis solution, snap frozen on dry ice, and stored at -80?°C until processing. Single-cell libraries were prepared as previously described73. In brief, mRNA from cells sorted into cell capture plates was barcoded, converted into cDNA, and pooled using an automated pipeline. The pooled sample was then linearly amplified by T7 in vitro transcription, and the resulting RNA was fragmented and converted into a sequencing-ready library by tagging the samples with pooled barcodes and Illumina sequences during ligation, RT, and PCR. Each pool of cells was tested for library quality, and concentration was assessed, as described73.
PD-1/PD-L1 checkpoint blockade harnesses monocyte-derived macrophages to combat cognitive impairment in a tauopathy mouse model.
Age, Specimen part, Cell line, Treatment, Subject
View SamplesWe investigated the gene expression profile of monocyte-derived macrophages and microglia following spinal cord injury. Moreover, we investigated the gene expression profole of M-CSF induced macrophages and new-born derived microglia following TGFb1 treatment. Overall design: monocyte-derived macrophages and microglia following spinal cord injury M-CSF induced macrophages and new-born derived microglia following TGFb1 treatment
Chronic exposure to TGFβ1 regulates myeloid cell inflammatory response in an IRF7-dependent manner.
No sample metadata fields
View SamplesIn multicellular organisms, dedicated regulatory circuits control cell-type diversity and response. The crosstalk and redundancies within these circuits and substantial cellular heterogeneity pose a major research challenge. We present CRISP-seq, an integrated method for massively parallel single-cell RNA-seq and CRISPR pooled screens. We show that profiling the perturbation and transcriptome in the same cell, enables to elucidate, the function of multiple factors and their interactions. In this benchmarking study, we applied this technology to probe regulatory circuits of innate immunity. By sampling tens of thousands of perturbed cells in vitro and in mice, we identified interactions and redundancies between developmental and signaling-dependent factors controlling the commitment toward different cell lineages or the inflammatory and antiviral pathways. CRISP-seq thereby emerges as a broadly applicable, comprehensive, and unbiased approach for elucidating mammalian regulatory circuits. Overall design: Transcriptional and CRISPR profiles from single myeloid cells, infected with lentiviral vectors carrying different gRNAs, were generated by deep sequencing of tens of thousands of single cells, sequenced in several batches in an Illumina Nextseq 500. Experiment was paired-end, but read2 was used to read cell and molecule barcodes only. Additional details about experimental design (associating each single cell with its amplification batch and index sorting readout) available as Series supplementary file.
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.
Specimen part, Cell line, Treatment, Subject
View SamplesHundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To study pathogenesis of Influenza infection, C57BL/6 mice (5 weeks) were infected intranasally with 4x103 PFU of influenza PR8 virus. We measured using RNA-Seq global gene expression in lung tissue at ten time points during a 7-day time course of infection, two infected individuals in each time point and four un-infected individuals as control. The lung organ was removed and transferred immediately into RNA Latter solution (Invitrogen).
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Age, Specimen part, Cell line, Subject, Time
View SamplesHundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. Overall design: To better understand the physiological role of these differential dynamic changes in the DCs, we measured the genome-wide RNA expression of all four DC subpopulations from lung of influenza infected mice at four time points following infections (two mice per time-point). For sorting dendritic cells from lungs, the lungs from infected and control uninfected C57BL/6J mice were immersed in cold PBS, cut into small pieces in 5 ml DMEM media containing 10% Bovine Fetal Serum, the cell suspensions were grinded using 1ml syringe cup on a 70 µm cell strainers (BD Falcon). The cells were washed with ice cold PBS. Remaining red blood cells were lysed using ammonium chloride solution (Sigma). Cells were harvested, immersed 1ml FACS buffer [PBS+2% FBS, 1mM EDTA], Fc receptors were blocked with anti-mouse CD16/CD32, washed with FACS buffer and divided into two tubes for sorting cDC and pDC cells.
Digital cell quantification identifies global immune cell dynamics during influenza infection.
Age, Specimen part, Cell line, Subject, Time
View SamplesWe develop a new ChIpseq method (iChIP) to profile chromatin states of low cell number samples. We use IChIP to profile the chromatin dynamics during hematopoiesis across 16 different cell types which include the principal hematopoietic progenitors Overall design: 3'' RNA-seq for digital gene expression quantitation across multiple cell types.
Immunogenetics. Chromatin state dynamics during blood formation.
No sample metadata fields
View SamplesAlzheimer''s disease (AD) is a detrimental neurodegenerative disease with no effective treatments. Due to cellular heterogeneity, the roles of immune cell subsets in AD onset and progression are poorly understood. By transcriptional single cell sorting, we comprehensively map all immune populations in wild type and AD–transgenic (Tg-AD) mouse brains. We describe a novel microglia type associated with neurodegenerative diseases (DAM) and identify the markers, spatial-location, and pathways associated with these cells. Immunohistochemical staining of mice and human brain slices showed DAM with intracellular/phagocytic Aß particles. Single cell analysis of DAM in Tg-AD and Trem2-/- Tg-AD revealed that the DAM program is activated in a two-step process. Activation is initiated in a Trem2 independent manner which involves down-regulation of microglia checkpoints, followed by activation of a Trem2-dependent program. These data identify a unique microglia-type, which may have important implications for future treatment of AD and other neurodegenerative diseases. Overall design: Transcriptional profiling of single cells from immune populations of mouse models of neurodegenerative diseases with matched controls, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500
A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease.
Specimen part, Cell line, Treatment, Subject
View SamplesThe balance between protecting tissue integrity and efficient immune response is critical for host survival. Here we investigate the role of extracellular matrix (ECM) proteolysis in achieving this balance in the lung during influenza virus infection using a combined genomic and proteomic approach. We followed the transcriptional dynamics and ECM- related responses in a mouse model of influenza virus infection, integrated with whole tissue imaging and functional assays. Our study identifies MT1-MMP as a prominent host-ECM-remodeling collagenase in influenza virus infection. We show that selective inhibition of MT1-MMP-driven ECM proteolysis protects the tissue from infection-related structural and compositional damage. Inhibition of MT1-MMP did not significantly alter the immune response or cytokine expression, indicating its dominant role in ECM remodeling. We demonstrate that the available treatment for influenza virus (Tamiflu/ Oseltamivir) does not prevent lung ECM damage and is less effective than anti-MT1-MMP treatment in influenza virus and Streptococcus pneumoniae coinfection paradigms. Importantly, combination therapy of Tamiflu with anti-MT1-MMP shows a strong synergistic effect and results in complete recovery in mice. This study highlights the importance of tissue tolerance agents for surviving infectious diseases, and the potential of such host-pathogen therapy combination for respiratory infections. Overall design: Overall 8 samples were included, in duplicates, both infected and non-infected control cells were includeda. Both MT1-MMP positive and MT1-MMP negative were tested were non-infectdd, MT1-MMP negative cells served as controls.
Extracellular Matrix Proteolysis by MT1-MMP Contributes to Influenza-Related Tissue Damage and Mortality.
Specimen part, Cell line, Treatment, Subject
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