Dataset Information

A Single Cell Genomics Atlas of the Drosophila Larval Eye Reveals Distinct Developmental Timelines and Novel Markers for All Photoreceptor Subtypes

ABSTRACT: The Drosophila eye is a powerful model system to study the dynamics of cell differentiation, cell state transitions, cell maturation, and pattern formation. However, a high-resolution single cell genomics resource that accurately profiles all major cell types of the larval eye disc and their spatiotemporal relationships is lacking. Here, we report transcriptomic and chromatin accessibility data for all known cell types in the developing eye. Photoreceptors appear as strands of cells that represent dynamic developmental timelines. Photoreceptor subtypes are transcriptionally distinct when they begin to differentiate, but then appear to assume a common transcriptome as they mature. We identify novel cell type maturation genes, enhancers, and potential regulators, as well as genes with distinct R3 or R4 photoreceptor specific expression. Finally, we observe that photoreceptor chromatin accessibility is more permissive than non-neuronal lens-secreting cone cells, which show a more restrictive chromatin profile. These single cell genomics atlases will greatly enhance the power of the Drosophila eye as a model system.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE235110 | GEO | 2023/08/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Identification of cell-type specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. Using chromatin immunoprecipitation followed by massively parallel sequencing, genome-wide maps of candidate enhancers were constructed for p300 and four transcription factors, GATA1, NF-E2, KLF1, and SCL, using primary human erythroid cells. These data were combined with gene expression analyses and candidate enhancers identified. Consistent with their predicted function as candidate enhancers, there was statistically significant enrichment of p300 and combinations of co-localizing erythroid transcription factors within 1-50 kb of the TSS of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or erythroid cell phenotypes. Candidate enhancers exhibited only moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a data set of erythroid-associated, biologically relevant, SNPs from the GWAS catalog of the NHGRI. Fourteen candidate enhancers, representing 10 genetic loci, mapped to sites associated with biologically relevant erythroid traits. Fragments from these loci directed statistically significant expression in reporter gene assays. Identification of enhancers in human erythroid cells will allow a better understanding of erythroid cell development, differentiation, structure, and function, and provide insights into inherited and acquired hematologic disease. CD34+-selected stem and progenitor cells were expanded for three days in the absence of EPO, and total RNA was isolated from a portion of the cells. The cells were further cultured in the presence of EPO, and RNA was isolated after cells differentiated into R3/R4 nucleated erythroid cells. There were 3 replicates of CD34 cells and 9 replicates of R3/R4 erythroid cells.

Dataset Information

A Single Cell Genomics Atlas of the Drosophila Larval Eye Reveals Distinct Developmental Timelines and Novel Markers for All Photoreceptor Subtypes

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure