Project description:Transcriptome data from zebrafish single cells from guts from either from Tg(lck:EGFP) rag1-/-mutant or wild-type zebrafish were isolated and single cell suspensions were prepared as described in protocol section. Three zebrafish, per each condition (i.e. zebrafish intraperitoneally injected with PBS, lyophilised Anisakis simplex or inactivated Vibrio anguillarum), were used to collect the total of 12,000 lck+ cells (4000 per zebrafish) for 10x experiment.
Project description:Transcriptome data from zebrafish single and bulk cells from blood in five organs. Blood cells were collected from adult Tg(cd4-1:mCherry), Tg(lck:EGFP), Tg(mhc2dab:GFP, cd45:dsRed), AB.
Project description:Understanding how cellular function is imprinted during development requires the identification of factors controlling lineage specification and commitment, and the intermediate progenitors in which they act. Using population level and single cell approaches, we examine transcriptional and functional heterogeneity within early innate lymphoid cells (ILC) progenitors. We identify a developmental bifurcation toward dendritic cell fate that reveals the uncommitted state of early specified ILC progenitors. We subsequently characterize an ILC-commitment checkpoint controlled by the transcription factor TCF-1. The present study reveals unexpected heterogeneity within early innate progenitor populations, and characterizes lineage infidelity that accompanies early ILC specification prior to commitment.
Project description:Understanding how cellular function is imprinted during development requires the identification of factors controlling lineage specification and commitment, and the intermediate progenitors in which they act. Using population level and single cell approaches, we examine transcriptional and functional heterogeneity within early innate lymphoid cells (ILC) progenitors. We identify a developmental bifurcation toward dendritic cell fate that reveals the uncommitted state of early specified ILC progenitors. We subsequently characterize an ILC-commitment checkpoint controlled by the transcription factor TCF-1. The present study reveals unexpected heterogeneity within early innate progenitor populations, and characterizes lineage infidelity that accompanies early ILC specification prior to commitment.
Project description:Kidney vessel associated NKp46+ ILC have never been characterized at single cell level before. We used single cell RNA sequencing (scRNA-seq) to analyze the diversity of kidney vessel associated NKp46+ ILC in the kidney
Project description:Innate lymphoid cells (ILCs) are highly plastic immune cells that have been separated into 3 main subsets, characterized by distinct phenotypic and functional profiles. Using single cell approaches, heightened heterogeneity of mouse ILCs has been recently appreciated, imprinted by tissue signals that shape their transcriptome and epigenome. Intra-subset diversity has also been observed in human ILCs. However, combined transcriptomic and epigenetic analyses of single ILCs in humans are lacking. Here we show high transcriptional and epigenetic heterogeneity among human circulating ILCs in healthy individuals. We describe phenotypically distinct subclusters within main circulating ILC populations. We show diverse chromatin accessibility within main ILC subsets, compatible with differentially poised states. We validate the use of this healthy donor-based analysis as resource dataset to infer ILC changes occurring in disease conditions. Overall, our work provides new insights in the complex human ILC biology. We anticipate our work to be a starting point to facilitate hypothesis-driven studies in patients, without the need to perform single cell OMICs using precious patients’ material
Project description:Innate lymphoid cells (ILCs) are highly plastic immune cells that have been separated into 3 main subsets, characterized by distinct phenotypic and functional profiles. Using single cell approaches, heightened heterogeneity of mouse ILCs has been recently appreciated, imprinted by tissue signals that shape their transcriptome and epigenome. Intra-subset diversity has also been observed in human ILCs. However, combined transcriptomic and epigenetic analyses of single ILCs in humans are lacking. Here we show high transcriptional and epigenetic heterogeneity among human circulating ILCs in healthy individuals. We describe phenotypically distinct subclusters within main circulating ILC populations. We show diverse chromatin accessibility within main ILC subsets, compatible with differentially poised states. We validate the use of this healthy donor-based analysis as resource dataset to infer ILC changes occurring in disease conditions. Overall, our work provides new insights in the complex human ILC biology. We anticipate our work to be a starting point to facilitate hypothesis-driven studies in patients, without the need to perform single cell OMICs using precious patients’ material