Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA414416 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The lineage relationships among the hundreds of cell types generated during development are difficult to reconstruct. A recent method, GESTALT, used CRISPR–Cas9 barcode editing for large-scale lineage tracing, but was restricted to early development and did not identify cell types. Here we present scGESTALT, which combines the lineage recording capabilities of GESTALT with cell-type identification by single-cell RNA sequencing. The method relies on an inducible system that enables barcodes to be edited at multiple time points, capturing lineage information from later stages of development. Sequencing of ∼60,000 transcriptomes from the juvenile zebrafish brain identified >100 cell types and marker genes. Using these data, we generate lineage trees with hundreds of branches that help uncover restrictions at the level of cell types, brain regions, and gene expression cascades during differentiation. scGESTALT can be applied to other multicellular organisms to simultaneously characterize molecular identities and lineage histories of thousands of cells during development and disease.
2018-02-09 | GSE105010 | GEO
Project description:Comprehensive single cell transcriptome lineages of a proto-vertebrate
| PRJNA542748 | ENA
Project description: Not available
| S-EPMC5938111 | biostudies-literature
Project description:Studies of ascidian (sea squirt) embryos have highlighted the importance of cell lineages in animal development for over 100 years. As simple proto-vertebrates, they are also used to explore the evolutionary origins of novel cell types, such as cranial placodes and neural crest in vertebrates. To build upon these efforts we have determined comprehensive single cell transcriptomes of Ciona intestinalis throughout embryogenesis. More than 90,000 cells from 10 different developmental stages were examined, spanning the entirety of morphogenesis, from the onset of gastrulation at the 110-cell stage to the hatching of swimming tadpoles. This represents an average of over 12-fold coverage for every cell at every stage of development, owing to the small cell numbers that are a hallmark property of ascidian embryogenesis. Single cell transcriptome trajectories were used to construct “virtual” cell lineage maps, which confirm and extend those determined by conventional labeling methods. These datasets were also used to reconstruct regulatory cascades and provisional gene networks for a variety of cell types, including nearly 40 different neuronal subtypes comprising the larval nervous system. We summarize several applications of these datasets, including the identification of individual transcriptomes within the complete synaptome of swimming tadpoles, visualizing dynamic changes in gene expression during the birth, migration, and axogenesis of defined neurons, and the evolution of novel cell types such as the vertebrate telencephalon.
2019-07-08 | GSE131155 | GEO
Project description:<p>During development of the human brain, multiple cell types with diverse regional identities are generated. Here we report a system to generate early human brain forebrain and mid/hindbrain cell types from human embryonic stem cells (hESCs), and infer and experimentally confirm a lineage tree for the generation of these types based on single-cell RNA-Seq analysis. We engineered <i>SOX2<sup>Cit/+</sup></i> and <i>DCX<sup>Cit/Y</sup></i> hESC lines to target progenitors and neurons throughout neural differentiation for single-cell transcriptomic profiling, then identified discrete cell types consisting of both rostral (cortical) and caudal (mid/hindbrain) identities. Direct comparison of the cell types were made to primary tissues using gene expression atlases and fetal human brain single-cell gene expression data, and this established that the cell types resembled early human brain cell types, including preplate cells. From the single-cell transcriptomic data a Bayesian algorithm generated a unified lineage tree, and predicted novel regulatory transcription factors. The lineage tree highlighted a prominent bifurcation between cortical and mid/hindbrain cell types, confirmed by clonal analysis experiments. We demonstrated that cell types from either branch could preferentially be generated by manipulation of the canonical Wnt/beta-catenin pathway. In summary, we present an experimentally validated lineage tree that encompasses multiple brain regions, and our work sheds light on the molecular regulation of region-specific neural lineages during human brain development.</p>
| phs001205 | dbGaP
Project description:Neural crest cells (NCCs) are vertebrate stem cells that give rise to various cell types throughout the developing body in early life. Here, we utilized single-cell transcriptomic analyses to delineate NCC-derivatives along the posterior developing vertebrate, zebrafish, during the late embryonic to early larval stage, a period when NCCs are actively differentiating into distinct cellular lineages. We identified several major NCC/NCC-derived cell-types including mesenchyme, neural crest, neural, neuronal, glial, and pigment, from which we resolved over three dozen cellular subtypes. We dissected gene expression signatures of pigment progenitors delineating into chromatophore lineages, mesenchyme subtypes, and enteric NCCs transforming into enteric neurons. Global analysis of NCC derivatives revealed they were demarcated by combinatorial hox gene codes, with distinct profiles within neuronal cells. From these analyses, we present a comprehensive cell-type atlas that can be utilized as a valuable resource for further mechanistic and evolutionary investigations of NCC differentiation.
2021-02-16 | GSE152906 | GEO
Project description:Time series of single cell transcriptome measurements can reveal dynamic features of cell differentiation pathways. From measurements of whole frog embryos spanning zygotic genome activation through early organogenesis we derived a detailed catalog of cell states in vertebrate development and a map of differentiation across all lineages over time. The inferred map recapitulates most if not all developmental relationships, and associates new regulators and marker genes with each cell state. We find that many embryonic cell states appear earlier than previously appreciated. We also assess conflicting models of neural crest development. Incorporating a matched time series of zebrafish development from a companion paper, we reveal conserved and divergent features of vertebrate early developmental gene expression programs.
2018-04-28 | GSE113074 | GEO
Project description:This study introduces “NuTRAP”, a transgenic mouse that allows simultaneous isolation of cell type-specific translating mRNA and chromatin from complex tissues Using NuTRAP, we successfully characterize gene expression and epigenomic states of various adipocyte populations in vivo, To demonstrate general usefulness, we chateraterize histone states of in vivo hepatocytes.
2017-01-24 | GSE92590 | GEO
Project description:Recently, three-dimensional small intestinal organoids (enteroids) have been developed from cultures of intestinal stem cells which differentiate in vitro to generate all the differentiated epithelial cell types associated with the intestine and mimic the structural properties of the intestine observed in vivo. Small-molecule drug treatment can skew organoid epithelial cell differentiation towards particular lineages, and these skewed enteroids may provide useful tools to study specific epithelial cell populations, such as goblet and Paneth cells. However, the use and characterisation of enteroid models has not yet been fully explored, such that the extent to which differentiated epithelial cell populations in these skewed enteroids represent their in vivo counterparts is not fully understood. In this study, we have performed label-free quantitative proteomics to determine whether skewing murine enteroid cultures towards the goblet or Paneth cell lineages results in changes in abundance of proteins associated with these cell lineages in vivo. Our data confirm that skewed enteroids recapitulate important features of the in vivo gut environment, confirming that they can serve as useful models for the investigation of normal and disease processes in the intestine. Furthermore, by comparison of our mass spectrometry data with histology data contained within the Human Protein Atlas, we identify putative novel markers for goblet and Paneth cells.
2019-01-11 | PXD005006 | Pride