Ontology highlight
ABSTRACT:
PROVIDER: PRJNA747628 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15224000_1.fastq.gz | Fastqsanger.gz | |||
| SRR15224000_2.fastq.gz | Fastqsanger.gz | |||
| SRR15224001_1.fastq.gz | Fastqsanger.gz | |||
| SRR15224001_2.fastq.gz | Fastqsanger.gz | |||
| SRR15224002_1.fastq.gz | Fastqsanger.gz |
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Project description:The Drosophila lymph gland (LG) is the larval hematopoietic organ comprised of multipotent prohemocytes and mature hemocytes and has been a valuable model for understanding mechanisms underlying the hematopoiesis and immune responses. There are three types of mature hemocytes in the lymph gland; plasmatocytes, lamellocytes, and crystal cells, all of which are analogous to myeloid-lineage blood cells. To date, the Drosophila hematopoietic system has been primarily defined by classical genetic methods that may limit the promise of its advantage as a model. In this study, we used single-cell RNA sequencing method to comprehensively profile the heterogeneity of developing myeloid hemocytes in the wild-type lymph gland and their transitions upon active immunity caused by wasp infestation. Moreover, we compared hemocytes originated from the embryonic and the lymph gland hematopoiesis and unraveled genetic and cellular diversity of two different ancestries. Finally, hemocytes of the Drosophila lymph gland and human immune cells are contrasted at a transcriptome level, highlighting evolutionary conservations of myeloid cells across species. Overall, our single-cell RNA seq analyses disclose the development of myeloid hemocytes at a single-cell level and provide comparative insights into two different lineages of hemocytes in Drosophila and perspectives on the evolution of myeloid cells, serving as an ample resource for revealing essentials of the hematopoiesis.
2020-07-25 | GSE141274 | GEO
Project description:The Drosophila lymph gland (LG) is the larval hematopoietic organ comprised of multipotent prohemocytes and mature hemocytes and has been a valuable model for understanding mechanisms underlying the hematopoiesis and immune responses. There are three types of mature hemocytes in the lymph gland; plasmatocytes, lamellocytes, and crystal cells, all of which are analogous to myeloid-lineage blood cells. To date, the Drosophila hematopoietic system has been primarily defined by classical genetic methods that may limit the promise of its advantage as a model. In this study, we used single-cell RNA sequencing method to comprehensively profile the heterogeneity of developing myeloid hemocytes in the wild-type lymph gland and their transitions upon active immunity caused by wasp infestation. Moreover, we compared hemocytes originated from the embryonic and the lymph gland hematopoiesis and unraveled genetic and cellular diversity of two different ancestries. Finally, hemocytes of the Drosophila lymph gland and human immune cells are contrasted at a transcriptome level, highlighting evolutionary conservations of myeloid cells across species. Overall, our single-cell RNA seq analyses disclose the development of myeloid hemocytes at a single-cell level and provide comparative insights into two different lineages of hemocytes in Drosophila and perspectives on the evolution of myeloid cells, serving as an ample resource for revealing essentials of the hematopoiesis.
2020-07-24 | GSE141273 | GEO
Project description:Drosophila blood cells, called the hemocytes, are composed of three distinct cell populations: plasmatocytes (PM), crystal cells (CC), and lamellocytes (LM). These cell types have been extensively characterized based on the expression of a few marker genes and cell morphologies, which are inadequate to classify the complete hemocyte repertoire. Further, intermediate states along the course of maturation of these cell types have been poorly characterized. Here, we used single-cell RNA sequencing (scRNA-seq) to map the Drosophila larval hemocytes across different inflammatory conditions. We identified all known cell types, resolved PMs into different states based on the expression of genes involved in cell cycle, antimicrobial response, and metabolism together with the detection of CC and LM intermediates. Further, we discovered rare cells within CC and LM populations that express the fibroblast growth factor (FGF) ligand branchless (bnl) and receptor breathless (btl), respectively. We demonstrate that both bnl and btl are required for mediating effective immune responses against parasitoid wasp eggs in vivo, highlighting a novel role for FGF signaling in inter-hemocyte crosstalk. Our scRNA-seq analysis reveals the diversity of hemocyte populations and provides a rich resource of gene expression profiles for a systems-level understanding of their functions.
2020-05-16 | GSE146596 | GEO
Project description:Single-cell RNA-seq analysis of scallop hemocytes
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Project description:RNA-seq data from six cell types for cell type phylogenetics
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Project description:The main goal of the project is to develop a new generation of bioinformatics resources for the integrative analysis of multiple types of 'omics data. These resources include both novel statistical methodologies as well as user-friendly software implementations. STATegra methods address many aspects of the 'omics data integration problem such as the design of multi-omics experiments, integrative transcriptional and regulatory networks, integrative variable selection, data fusion, integration of public domain data, and integrative pathway analysis. To support method development STATegra uses a model biological system, namely the differentiation process of mouse pre-B-cells. The STATegra consortium generated data focused on a critical step in the differentiation of B lymphocytes, which are key components of the adaptive immune system. Transcription factors of the Ikaros family are central to the normal differentiation of B cell progenitors and their expression increases in response to developmental stage-specific signals to terminate the proliferation of B cell progenitors and to initiate their differentiation. In particular, a novel biological system that models the transition from the pre-BI stage to the pre-BII subsequent stage, where B cell progenitors undergo growth arrest and differentiation, was used. The approach involves a pre-B cell line, B3, and an inducible version of the Ikaros transcription factor, Ikaros-ERt2. Ikaros factors act to down-regulate genes that drive proliferation and to simultaneously up-regulate the expression of genes that promote the differentiation of B cell progenitors. Hence, in the B3 system, before induction of Ikaros, cells proliferate and their gene expression pattern is similar to proliferating B cell progenitors in vivo. Following Ikaros induction, B3 cells undergo gene expression changes that resemble those that occur in vivo during the transition from cycling to resting pre-B cells, followed by a marked reduction in cellular proliferation and by G1 arrest. On this system the consortium has created a high-quality data collection consisting of a replicated time course using seven different 'omics platforms: RNA-seq, miRNA-seq, ChIP-seq, DNase-seq, Methyl-seq, proteomics and metabolomics, which is used to assess and to validate STATegra methods. The STATegra experimental design consists of a 6 point time course that captures the differentiation of B3 cells containing Ikaros-ERt2 upon Ikaros induction within a 24 hr period. The process was sampled at 0, 2, 6, 12, 18, and 24 hrs respectively after Ikaros induction by Tamoxifen. As control, B3 cells transfected with an empty vector were treated and sampled in the same way as the inducible line. Eight different 'omic technologies were measured on this system: RNA-seq, miRNA-seq, DNase-seq, RRBS-seq, ChIP-seq, scRNA-seq, Proteomics and Metabolomics. Generally, three biological replicates were obtained per platform and were processed as independent batches. Metabolomics analysis was performed using 4 biological batches (7, 8, 9 and 10) and at times 0, 2, 6, 12, 18 and 24 hrs respectively. Each sample was analyzed using gas chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS).
2016-12-15 | MTBLS283 | MetaboLights
Project description:Environmental factors, infection, or injury, can cause oxidative stress in diverse tissues and loss of tissue homeostasis. Effective stress response cascades, conserved from invertebrates to mammals, ensure reestablishment of homeostasis and tissue repair. Hemocytes, the Drosophila blood-like cells, rapidly respond to oxidative stress by immune activation. However, the precise signals how they sense oxidative stress and integrate these signals to modulate their immune response during oxidative stress are ill-defined. Furthermore, it remains unclear if all hemocytes respond similarly to oxidative stress or if there is a specification in distinct subsets. here, we employes single nuclei RNA-sequencing (snRNA-seq) to elcuidate the induced transcriptomic chnages in hemocytes and other cell types by Paraquat feeding compared to control food. Paraquat induces a pronounced oxidative stress response in Drosophila and we used this mdoel to study the diversification of immune cells upon this immune challenge in the adult fly.
2023-12-21 | GSE244295 | GEO
Project description:I. trifida RNA-Seq of different tissue types
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Project description:I. triloba RNA-Seq of different tissue types
| PRJNA432770 | ENA
Project description:Anopheline mosquitoes transmit Plasmodium parasites to humans, and are responsible for an estimated 219 million cases of malaria, leading to over 400,000 deaths annually. The mosquito’s immune system limits Plasmodium infection in several ways, and hemocytes, the insect white blood cells, are key players in these defense responses. However, the full functional diversity of mosquito hemocytes and their developmental trajectories have not been established. We use bulk RNA sequencing (scRNA-seq) to analyze the transcriptional profiles of hemocytes, of guts, and of carcasses of mosquito hemocytes in response to blood feeding or infection with Plasmodium. Data from three independent biological replicates for each condition and time-point (day 0, 1, 2, 3, and 7 after sugar-feeding, blood-feeding or P. berghei infection).
2020-08-27 | E-MTAB-9241 | biostudies-arrayexpress