Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional Basis of Neuronal Diversity in the Mammalian Brain

ABSTRACT: Neuronal diversity is a defining feature of the mammalian brain deemed necessary for realizing the complex function of the nervous system. In order to begin to understand the transcriptional basis of this diversity, we collected more than 170 neuronal and non-neuronal cell type-specific transcriptomes defined operationally by transgenic mouse lines and anatomical regions. The dataset indicates that the genes specifically expressed in neuronal cell types are biased toward long genes. We revealed that these long genes have higher capacities to be differentially expressed between cell types and thus assume an important role in diversification of the neuronal transcriptomes. Since mobile element insertions are the main cause of the gene elongations, we propose that exaptation of the inserted mobile elements significantly contributed to the neuronal diversity.

ORGANISM(S): Mus musculus

PROVIDER: GSE79238 | GEO | 2018/07/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Single nuclei RNAseq datasets supporting the impact of primary cilia deficiency on astrocytes’ intercellular connectivity and neuronal transcriptomes in the brain.

Project description:Astrocyte diversity is greatly influenced by local environmental modulation. In this study, we analyzed the impact of ciliary deficient astrocytes on astrocytes’ intercellular communications and neuronal transcriptomes in the brain. Our analysis revealed a broad disturbance of astrocyte intercellular connectomes and profound changes in neuronal transcriptomic profiles induced by ciliary deficiency in astrocytes.

2024-01-24 | GSE253642 | GEO

Diverse reprogramming codes for neuronal identity

Project description:The transcriptional programs that establish neuronal identity evolved to produce a rich diversity of neuronal cell types that arise sequentially during development. Remarkably, transient expression of certain transcription factors (TFs) can also endow non-neural cells with neuronal properties. To decipher the relationship between reprogramming factors and transcriptional networks that produce neuronal identity and diversity, we screened ~600 TF pairs and identified 76 that produce induced neurons (iNs) from fibroblasts. By intersecting the transcriptomes of iNs with those of endogenous neurons, we define a “core” cell-autonomous neuronal signature. The iNs also exhibit diversity; each TF pair produces iNs with unique transcriptional patterns that can predict their pharmacological responses. By linking distinct TF input “codes” to defined transcriptional outputs, this study uncovers cell autonomous features of neuronal identity and expands the reprogramming toolbox to enable more facile engineering of induced neurons with desired patterns of gene expression and related functional properties.

2018-05-10 | GSE112381 | GEO

Neuronal diversity and convergence in a visual system developmental atlas (bulk RNA-seq)

Project description:Deciphering how neuronal diversity is established and maintained requires a detailed knowledge of neuronal gene expression throughout development. In contrast to mammalian brains, the large neuronal diversity of the Drosophila optic lobes and its connectome are almost completely characterized. However, a molecular characterization of this diversity, particularly during development, has been lacking. We present novel insights into brain development through a nearly exhaustive description of the transcriptomic diversity of the optic lobes. We acquired the transcriptome of 275,000 single-cells at adult and five pupal stages, and developed a machine learning framework to assign them to almost 200 cell-types at all timepoints. We discovered two large neuronal populations that wrap neuropils during development but die just before adulthood, as well as neuronal subtypes that partition dorsal and ventral visual circuits by differential Wnt signaling throughout development. Moreover, we showed that neurons of the same type but produced days apart synchronize their transcriptomes shortly after being produced. We also resolved during synaptogenesis neuronal subtypes that converge to indistinguishable transcriptomic profiles in adults while greatly differing in morphology and connectivity. Our datasets almost completely account for the known neuronal diversity of the optic lobes and serve as a paradigm to understand brain development across species.

2020-07-16 | GSE142788 | GEO

Neuronal diversity and convergence in a visual system developmental atlas (scRNA-seq)

2020-07-16 | GSE142787 | GEO

Transcriptional Profiling of Sorted Mouse Cortical Projection Neuron Subtypes

Project description:Neuronal development requires a complex choreography of transcriptional decisions to obtain specific cellular identities. Realizing the ultimate goal of identifying genome-wide signatures that define and drive specific neuronal fates has been hampered by enormous complexity in both time and space during development. Here, we have paired high-throughput purification of pyramidal neuron subclasses with deep profiling of spatiotemporal transcriptional dynamics during corticogenesis to resolve lineage choice decisions. We identified numerous features ranging from spatial and temporal usage of alternative mRNA isoforms and promoters to a host of mRNA genes modulated during fate specification. Notably, we uncovered numerous long non-coding RNAs with restricted temporal and cell type specific expression. To facilitate future exploration, we provide an interactive online database to enable multidimensional data mining and dissemination. This multi-faceted study generates a powerful resource and informs understanding of the transcriptional regulation underlying pyramidal neuron diversity in the neocortex.

2014-12-31 | GSE63482 | GEO

Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons

Project description:Neurons undergo substantial morphological and functional changes during development to form precise synaptic connections and acquire specific physiological features. What are the underlying transcriptomic bases? Here, we obtained the single-cell transcriptomes of Drosophila olfactory projection neurons (PNs) at four developmental stages. We decoded the identity of 21 transcriptomic clusters corresponding to 20 PN types and developed methods to match transcriptomic clusters representing the same PN type across development. We discovered that PN transcriptomes reflect unique biological processes unfolding at each stage—neurite growth and pruning during metamorphosis at an early pupal stage; peaked transcriptomic diversity during olfactory circuit assembly at mid-pupal stages; and neuronal signaling in adults. At early developmental stages, PN types with adjacent birth order share similar transcriptomes. Together, our work reveals principles of cellular diversity during brain development and provides a resource for future studies of neural development in PNs and other neuronal types.

2020-11-11 | GSE161228 | GEO

Pan-cancer tumor-specific antigens and membrane targets from transposable elements

Project description:Cryptic promoters within transposable elements (TEs) are transcriptionally reactivated in tumors to create novel TE-gene chimeric transcripts, which can produce immunogenic antigens. We performed the most comprehensive screen to date for these TE exaptation events in 33 TCGA tumor types, 675 cancer cell lines, and 11,686 GTEx adult tissue transcriptomes and identified 1,068 TE-exapted candidates with the potential to generate shared tumor-specific TE-chimeric antigens (TS-TEAs). Resultant whole lysate and HLA-pulldown mass spectrometry data confirmed that TS-TEAs are presented on cancer cell surfaces. In addition, we highlight the tumor-specific membrane proteins transcribed from TE promoters that can expose novel epitopes on the extracellular surface of cancer cells. Here, we showcase the high pan-cancer prevalence of TS-TEAs and atypical membrane proteins that can be therapeutically exploited through immunotherapy approaches.

2023-01-21 | PXD033351 | Pride

Classifying Drosophila Olfactory Projection Neuron Subtypes by Single-cell RNA Sequencing

Project description:How a neuronal cell type is defined and how this relates to its transcriptome are still open questions. The Drosophila olfactory projection neurons (PNs) are among the bestcharacterized neuronal types: Different PN classes target dendrites to distinct olfactory glomeruli and PNs of the same class exhibit indistinguishable anatomical and physiological properties. Using single-cell RNA-sequencing, we comprehensively characterized the transcriptomes of 40 PN classes and unequivocally identified transcriptomes for 6 classes. We found a new lineage-specific transcription factor that instructs PN dendrite targeting. Transcriptomes of closely-related PN classes exhibit the largest difference during circuit assembly, but become indistinguishable in adults, suggesting that neuronal subtype diversity peaks during development. Genes encoding transcription factors and cell-surface molecules are the most differentially expressed, indicating their central roles in specifying neuronal identity. Finally, we show that PNs use highly redundant combinatorial molecular codes to distinguish subtypes, enabling robust specification of cell identity and circuit assembly.

2017-10-21 | GSE100058 | GEO

Transcription profiling of hippocampus of CV mice (C57Bl x VM/Dk) inoculated with ME7 scrapie to determine the molecular events that accompany the scrapie-associated hippocampal neuropathology

Project description:A study of differential gene expression in the hippocampus of CV mice (C57Bl x VM/Dk) inoculated with ME7 scrapie to determine the molecular events that accompany the scrapie-associated hippocampal neuropathology. Analysis was performed at 170 days post infection, a timepoint that coincides with severe hippocampal neuronal loss.

2005-05-01 | E-MEXP-284 | biostudies-arrayexpress

Heterogeneous Expression of Nuclear Encoded Mitochondrial Genes Distinguishes Inhibitory and Excitatory Neurons.

Project description:Mitochondrial composition varies by organ and their constituent cell types. This mitochondrial diversity likely determines variations in mitochondrial function. However, the heterogeneity of mitochondria in the brain remains underexplored despite the large diversity of cell types in neuronal tissue. Here, we used molecular systems biology tools to address whether mitochondrial composition varies by brain region and neuronal cell type. We reasoned that proteomics and transcriptomics of microdissected brain regions combined with analysis of single cell mRNA sequencing could reveal the extent of mitochondrial compositional diversity. We selected nuclear encoded gene products forming complexes of fixed stoichiometry, such as the respiratory chain complexes and the mitochondrial ribosome, as well as molecules likely to perform their function as monomers, such as the family of SLC25 transporters. We found that only the proteome encompassing these nuclear-encoded mitochondrial genes and obtained from microdissected brain tissue segregated the hippocampus, striatum, and cortex from each other. Nuclear-encoded mitochondrial transcripts could only segregate cell types and brain regions when the analysis was performed at the single cell level. In fact, single cell mitochondrial transcriptomes were able to distinguish glutamatergic and distinct types of GABAergic neurons from one another. Within these cell categories, unique SLC25A transporters were able to identify distinct cell subpopulations. Our results demonstrate heterogeneous mitochondrial composition across brain regions and cell types. We postulate that mitochondrial heterogeneity influences regional and cell type specific mechanisms in health and disease.

2022-02-17 | PXD026104 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data