Project description:The tadpole-type larva of Ciona has emerged as an intriguing model system for the study of neurodevelopment. The Ciona intestinalis connectome has been recently mapped, revealing the smallest central nervous system (CNS) known in any chordate, with only 177 neurons. This minimal CNS is highly reminiscent of larger CNS of vertebrates, sharing many conserved developmental processes, anatomical compartments, neuron subtypes, and even specific neural circuits. Thus, the Ciona tadpole offers a unique opportunity to understand the development and wiring of a chordate CNS at single-cell resolution. Here we report the use of single-cell RNAseq to profile the transcriptomes of single cells isolated by fluorescence-activated cell sorting (FACS) from the whole brain of Ciona robusta (formerly intestinalis Type A) larvae. We have also compared these profiles to bulk RNAseq data from specific subsets of brain cells isolated by FACS using cell type-specific reporter plasmid expression. Taken together, these datasets have begun to reveal the compartment- and cell-specific gene expression patterns that define the organization of the Ciona larval brain.
Project description:The larval brain of Ciona intestinalis has similar architecture to that of vertebrates, but is only composed of approximately 330 cells. Transgenic embryos that carried Ci-beta-tubulin(promoter)::Kaede exhibited robust Kaede expression in the larval brain. Kaede-expressing cells were isolated, and their transcriptome was compared with that of cells that did not express Kaede using an oligonucleotide-based microarray. Our analysis identified 565 candidate genes that were preferentially expressed in the larval brain, 77 of which have previously been reported to be brain-related. The 565 genes included transcription factors, such as Otx, en, Pax3/7, Prop-A, Lhx1, Six3/6, Unc4-A, FoxC, and DMRT1; and signal transduction molecules, such as FGF4/5/6, Hedgehog1, Hedgehog2, patched, Fringe1, and Dkk3. Nearly 30 of the identified genes coded for receptors for neurotransmitters, neuropeptides or hormone pepetides. In addition, 15 genes encoded neuropeptides and hormone peptides, five of which were novel. Our catalog of genes that are expressed in the Ciona larval brain provides a foundation for future studies exploring the complex gene regulatory networks that mediate chordate brain development and function. Two samples (Brain vs Cells without Brain),Two biological replicates,Dye Swap design
Project description:The larval brain of Ciona intestinalis has similar architecture to that of vertebrates, but is only composed of approximately 330 cells. Transgenic embryos that carried Ci-beta-tubulin(promoter)::Kaede exhibited robust Kaede expression in the larval brain. Kaede-expressing cells were isolated, and their transcriptome was compared with that of cells that did not express Kaede using an oligonucleotide-based microarray. Our analysis identified 565 candidate genes that were preferentially expressed in the larval brain, 77 of which have previously been reported to be brain-related. The 565 genes included transcription factors, such as Otx, en, Pax3/7, Prop-A, Lhx1, Six3/6, Unc4-A, FoxC, and DMRT1; and signal transduction molecules, such as FGF4/5/6, Hedgehog1, Hedgehog2, patched, Fringe1, and Dkk3. Nearly 30 of the identified genes coded for receptors for neurotransmitters, neuropeptides or hormone pepetides. In addition, 15 genes encoded neuropeptides and hormone peptides, five of which were novel. Our catalog of genes that are expressed in the Ciona larval brain provides a foundation for future studies exploring the complex gene regulatory networks that mediate chordate brain development and function.
Project description:The cellular composition of the brain and how it is affected by starvation, remains largely unknown. Here we introduce a single-cell transcriptome atlas of the entire Drosophila melanogaster first instar larval brain. We first assigned cell type identity based on the expression of previously characterized marker genes, allowing us to distinguish five major groups: neural progenitors cells, differentiated neurons, glial cells, undifferentiated neurons as well as non-neural cells corresponding to organs and structures located adjacent to the brain. All major classes were further subdivided into multiple subtypes based on cluster analysis, revealing critical biological features of various cell types. Moreover, we included two different feeding conditions: normal fed versus starved. After starvation, the transcriptional profile of several cell clusters were altered, while the overall composition of the brain remains unaffected. Intriguingly, different cell clusters show very distinct responses to starvation, suggesting the presence of cell-specific programs for nutrition availability. Establishing a single-cell transcriptome atlas of the larval brain provides a powerful tool to explore cell diversity, assess genetic profiles of neurogenic, neuronal and glial cell types. The analysis of neurotransmitters, neuropeptides and their respective receptors may further open the doors for functional studies.
Project description:Understanding cell type identity in complex tissues or organisms requires integration of each cell's expression profile with its spatial location within the tissue under study. We developed a high-throughput method that combines in vitro single-cell RNA-sequencing with a gene expression atlas to map single cells back to their location within the tissue of interest. We used the developing brain of a marine annelid, Platynereis dumerilii that is an important model system for studying bilaterian brain evolution, to benchmark our approach. To generate the single-cell mRNA-sequencing data, P. dumerilii larval brains were dissociated, followed by cell capture, cDNA synthesis and amplification on the C1 Single-Cell Auto Prep IFC for 10-17 um cells (Fluidigm). Sequencing libraries were produced using Nexera XT DNA kit (Illumina). In total, we sequenced 213 samples, of which 129 correspond to single, alive cells (as judged by visual inspection of the captured cells) with the remainder consisting of a variety of single dead cells (n=18), wells containing extracellular matrix contaminants (n=8) or multiple cells (n=17), as well as a negative controls where no cells were observed (n=41). For this dataset, we achieved ~90% success rate for the spatial mapping of the single-cell RNA-seq data to P. dumerilii brain atlas. NOTE: 72 additional samples were added on 13th December 2014.