Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA284255 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Plasmacytoid and conventional dendritic cells (pDC, and cDC) are generated from distinct lymphoid and myeloid progenitor cells in murine bone marrow. Despite the early separation of pDC and cDC lineages, CD11c+ MHCII-/lo Siglec-H+ CCR9lo pDC-like precursor cells are able to differentiate into both pDC and cDC. Single-cell transcriptomics and high-dimensional flow cytometry combined with cell fate analysis revealed the heterogeneity and commitment of subsets in this compartment. While Ly6D– cells within this fraction were cDC-committed and B220hi Ly6Dhi Zbtb46– cells were immediate precursors of pDCs, B220lo Ly6Dhi Zbtb46– cells still had the potential to generate cDCs in addition to pDCs. Transition to cDCs occurred via an intermediary stage marked by coexpression of Siglec-H, Ly6D and Zbtb46. Type I IFN stimulation limited cDC and promoted pDC output from these precursors, demonstrating their plasticity in response to inflammation. Thus, flexibility to divert to cDCs is retained in the pDC lineage at later differentiation stages.
2021-12-01 | GSE189780 | GEO
Project description:Single-cell analysis of early erythroid precursors in Rpl11 haploinsufficient mice reveals both heme-dependent and heme-independent pathologies.
2023-06-02 | GSE152758 | GEO
Project description:The functions of innate lymphoid cells (ILCs) in immune system are increasingly appreciated, whereas the early development of ILCs in human remains elusive. In this study, we sorted humanhematopoietic stem progenitor cells, lymphoid progenitors, presumed ILC progenitor/precursors and mature ILCs in the fetal hematopoietic, lymphoid and non-lymphoid tissues, from 8 to 12 PCW,for single-cell RNA-sequencing, followed by computational analysis and functional validation. We delineated the early phase of ILC development, from hematopoietic stem progenitor cells to multipotent lymphoid progenitors and to ILC progenitors, which mainly occurred in fetal liver and intestine. We further unveiled interleukin-3 receptor alpha (IL-3RA) as the surface marker for the lymphoid progenitors with T cell, B cell and ILC potentials. Notably, we determined the heterogeneity and tissue distribution of each ILC subpopulation, revealing the shared proliferating characteristics of the precursors of each ILC subtype. Additionally, a novel unconventional ILC2 subpopulation (CRTH2-CCR9+ ILC2) was identified in fetal thymus. Taken together, our study illuminates the precise cellular and molecular features underlying the stepwise formation of human fetal ILC hierarchy with remarkable spatiotemporal heterogeneity.
2021-08-09 | GSE163587 | GEO
Project description:Small cell lung cancer (SCLC) tumors comprise heterogeneous mixtures of cell states, categorized into neuroendocrine (NE) and non-neuroendocrine (non-NE) transcriptional subtypes. NE to non-NE state transitions, fueled by plasticity, likely underlie adaptability to treatment and dismal survival rates. Here, we apply an archetypal analysis to model plasticity by recasting SCLC phenotypic heterogeneity through multi-task evolutionary theory. Cell line and tumor transcriptomics data fit well in a five-dimensional convex polytope whose vertices optimize tasks reminiscent of pulmonary NE cells, the SCLC normal counterparts. These tasks, supported by knowledge and experimental data, include proliferation, slithering, metabolism, secretion, and injury repair, reflecting cancer hallmarks. SCLC subtypes, either at the population or single-cell level, can be positioned in archetypal space by bulk or single-cell transcriptomics, respectively, and characterized as task specialists or multi-task generalists by the distance from archetype vertex signatures. In the archetype space, modeling single-cell plasticity as a Markovian process along an underlying state manifold indicates that task trade-offs, in response to microenvironmental perturbations or treatment, may drive cell plasticity. Stifling phenotypic transitions and plasticity may provide new targets for much-needed translational advances in SCLC.
2022-08-22 | GSE211751 | GEO
Project description:Single-cell transcriptomics reveals cellular heterogeneity and complex cell-cell communication networks in the mouse cornea
| PRJNA891516 | ENA
Project description:Single-cell transcriptomics reveals widespread heterogeneity in gene regulation and RNA processing in stimulated immune cells
| PRJNA176414 | ENA
Project description:Common primitive-definitive hematopoietic precursors vs. Definitve hematopoietic progenitor cells
| PRJNA209127 | ENA
Project description:Single-cell transcriptomics reveals microglia heterogeneity across the nigrostriatal pathway
| PRJNA624131 | ENA
Project description:Deconstructive SCNT reveals heterogeneity within Treg population [single-cell]
| PRJNA383045 | ENA
Project description:Human neurons engineered from induced pluripotent stem cells (iPSCs) through Neurogenin 2 (Ngn2) overexpression are widely used to study neuronal differentiation mechanisms and to model neurological diseases. However, the differentiation paths and heterogeneity of emerged neurons have not been fully explored. Here we used single-cell transcriptomics to dissect the cell states that emerge during Ngn2 overexpression across a time course from pluripotency to neuron functional maturation. We find a substantial molecular heterogeneity in the neuron types generated, with at least two populations that express genes associated with neurons of the peripheral nervous system. Neuron heterogeneity is observed across multiple iPSC clones and lines from different individuals. We find that neuron fate acquisition is sensitive to Ngn2 expression level and the duration of Ngn2 forced expression. Our data reveals that Ngn2 dosage can regulate neuron fate acquisition, and that Ngn2-iN heterogeneity can confound results that are sensitive to neuron type.
2021-08-05 | E-MTAB-10632 | biostudies-arrayexpress