Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Opposite Imp/Syp temporal gradients govern birth time-dependent neuronal fates

ABSTRACT: Generating diverse neurons involves spatially distinct neural stem cells that show age dependent developmental fates. Drosophila neuroblasts produce long, diverse yet stereotyped series of distinct neurons, called lineages. We searched for novel temporal factors that could pattern such extended lineages by RNA-sequencing of specific neuroblasts at various developmental times. We found that two RNA-binding proteins, Imp and Syp, display opposing high-to-low and low-to-high temporal gradients with distinct dynamics in specific lineages. Manipulating Imp/Syp levels in mushroom body neuroblasts revealed opposing roles in the specification of early and late temporal fates, primarily via regulation of Chinmo translation. This study implicates the opposing Imp/Syp gradients as temporal morphogens that encode stem cell age and govern birth time-dependent offspring cell fate through post-transcriptional regulation of temporal dentity genes.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE71103 | GEO | 2015/10/21

SECONDARY ACCESSION(S): PRJNA290355

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Stem cell intrinsic, Seven-up-triggered temporal factor gradients diversify intermediate neural progenitors

Project description:One neural stem cell can produce multiple transiently amplifying, intermediate neural progenitors (INP), which collectively yield diverse neuronal types. It is unclear if and how serially derived INPs contribute to neuron fate diversification. Drosophila type II neuroblasts, like mammalian neural stem cells, deposit neurons and also glia through INPs. The consecutively born INPs in a given lineage produce morphologically distinct progeny, presumably due to their inheritance of different temporal factors from the INP-producing progenitor. To uncover the underlying temporal fating mechanisms, we profiled type II neuroblasts' transcriptome across time. Our results reveal opposing temporal gradients of Imp and Syp RNA-binding proteins (descending and ascending, respectively). Maintaining high Imp throughout serial INP production expands the number of neurons/glia with early temporal fate at the expense of cells with late fate. Conversely, precocious upregulation of Syp reduces the number of cells with early fate. Further, we reveal that the transcription factor, Seven-up initiates progression of the Imp/Syp gradients. Interestingly, neuroblasts apparently locked in their beginning Imp/Syp levels can still yield progeny with a small range of early fates. We propose that the Seven-up-initiated Imp/Syp gradients create coarse temporal windows within type II neuroblasts to pattern INPs, which subsequently undergo fine-tuned subtemporal patterning.

2018-01-23 | GSE94445 | GEO

Drosophila melanogaster

Project description:Opposite Imp/Syp temporal gradients govern birth time-dependent neuronal fates

| PRJNA290355 | ENA

Transcriptomes of lineage-specific Drosophila neuroblasts profiled via genetic targeting and robotic sorting

Project description:A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast makes a specific neuronal lineage. To unravel the transcriptional networks that underlie the development of distinct neuroblast lineages, we marked and isolated lineage-specific neuroblasts for RNA sequencing. We labeled particular neuroblasts throughout neurogenesis by activating a conditional neuroblast driver in specific lineages using various intersection strategies. The targeted neuroblasts were efficiently recovered using a custom-built device for robotic single cell picking. Transcriptome analysis on the mushroom body, antennal lobe, and type II neuroblasts besides non-selective neuroblasts, neurons, and glia revealed a rich repertoire of transcription factors expressed among neuroblasts in diverse patterns. In addition to those likely pan-neuroblast transcription factors, there exist many transcription factors selectively enriched or repressed in certain neuroblasts. The unique combinations of transcription factors present in different neuroblasts may govern the diverse lineage-specific neuron fates

2015-12-29 | GSE71104 | GEO

The temporal patterning system governs the malignant susceptibility of neural progeny during Drosophila development

Project description:Pediatric neural tumors are initiated during embryonic/fetal stages and rapidly become malignant despite carrying few genetic alterations. However, the molecular basis of this early malignant susceptibility remains unknown. During Drosophila development, malignant neural tumors can arise from single gene inactivation triggering dedifferentiation towards a neural stem cell (NSC)-like state. Here, we find that these tumors originate from a sub-population of early-born neural progeny that transiently co-express the mRNA-binding proteins Lin-28 and Imp/IGF2BP, and the transcription factor Chinmo. These three genes compose an early growth module that is co-opted in a subset of dedifferentiated cells to propagate unlimited proliferation. In late NSCs, Chinmo, Imp and Lin-28 are silenced by temporal transcription factors for timely termination of neurogenesis. Consequently, late-born progeny do not express the module and become refractory to malignant transformation. Thus, this study identifies the NSC-intrinsic developmental program that predisposes neural progeny to malignant transformation according to their birth order.

2017-02-09 | GSE64405 | GEO

Imp/IGF2BP levels modulate individual neural stem cell growth and division through myc mRNA stability

Project description:The numerous neurons and glia that form the brain originate from tightly controlled growth and division of neural stem cells, regulated systemically by known extrinsic signals. However, the intrinsic mechanisms that control the characteristic proliferation rates of individual neural stem cells are unknown. Here, we show that the size and division rates of Drosophila neural stem cells (neuroblasts) are controlled by the highly conserved RNA binding protein Imp (IGF2BP), via one of its top binding targets in the brain, myc mRNA. We show that Imp stabilises myc mRNA leading to increased Myc protein levels, larger neuroblasts, and faster division rates. Declining Imp levels throughout development limit myc mRNA stability to restrain neuroblast growth and division, while heterogeneous Imp expression correlates with myc mRNA stability between individual neuroblasts in the brain. We propose that Imp-dependent regulation of myc mRNA stability fine-tunes individual neural stem cell proliferation rates.

2020-02-05 | GSE140704 | GEO

A comprehensive temporal patterning gene network in Drosophila medulla neuroblasts revealed by single-cell RNA sequencing

Project description:During development, neural stem cells are temporally patterned to sequentially generate a variety of neural types before exiting the cell cycle. Temporal patterning is well-studied in Drosophila, where neural stem cells called neuroblasts sequentially express cascades of Temporal Transcription Factors (TTFs) to control the birth-order dependent neural specification. However, currently known TTFs were mostly identified through candidate antibody screening and may not be complete. In addition, many fundamental questions remain concerning the TTF cascade initiation, progression, and termination. It is also not known why temporal progression only happens in neuroblasts but not in their differentiated progeny. In this work, we performed single-cell RNA sequencing of Drosophila medulla neuroblasts of all ages to study the temporal patterning process with single-cell resolution. Our scRNA-seq data revealed that sets of genes involved in different biological processes show high to low or low to high gradients as neuroblasts age. We also identified a list of novel TTFs, and experimentally characterized their roles in the temporal progression and neural fate specification. Our study revealed a comprehensive temporal gene network that patterns medulla neuroblasts from start to end. Furthermore, we found that the progression and termination of this temporal cascade also require transcription factors differentially expressed along the differentiation axis (neuroblasts -> -> neurons). Lola proteins function as a speed modulator of temporal progression in neuroblasts; while Nerfin-1, a factor required to suppress de-differentiation in post-mitotic neurons, acts at the final temporal stage together with the last TTF of the cascade, to promote the switch to gliogenesis and the cell cycle exit. Our comprehensive study of the medulla neuroblast temporal cascade illustrated mechanisms that might be conserved in the temporal patterning of neural stem cells.

2021-12-27 | GSE168553 | GEO

RNA-seq transcriptomic analysis of mouse sympathetic neuroblasts and adrenal chromaffin cells

Project description:Adrenal chromaffin cells and sympathetic neuron are derived from neural crest precursors and both cell types can give rise to childhood cancer, neuroblastoma. However only limited is known about the mechanism of their development. Better understanding of their transcriptomic profiles during development could gives an insight into the cell fates acquisition as well as the origin of neuroblastoma. Yellow fluorescent protein expressing sympathetic neuroblasts and adrenal chromaffin cells were isolated from E12.5 TH-IRES-Cre;ROSA26-EYFP mouse embryos by fluorescence-activated cell sorting. Transcriptomic profiles of sympathetic neuroblasts and adrenal chromaffin cells from embryonic age (E)12.5 TH-IRES-Cre;ROSA26-EYFP mice were generated by RNA sequencing, in four paired biological replicates.

2019-05-24 | E-MTAB-7086 | biostudies-arrayexpress

RNA-binding protein Syncrip regulates Starvation-Induced Hyperactivity in adult Drosophila

Project description:How to respond to starvation determines fitness. One prominent behavioral response is increased locomotor activities upon starvation, also known as Starvation-Induced Hyperactivity (SIH). SIH is paradoxical as it promotes food seeking but also increases energy expenditure. Despite its importance in regulating fitness, the genetic contributions to SIH as a behavioral trait remains unexplored. Here, we examined SIH in the Drosophila melanogaster Genetic Reference Panel (DGRP) and performed genome-wide association studies. We identified 27 significant loci, corresponding to 18 genes, significantly associated with SIH in adult Drosophila. Gene enrichment analyses indicated that genes encoding ion channels and mRNA binding proteins (RBPs) were most enriched in SIH. We are especially interested in RBPs because they provide a potential mechanism to quickly change protein expression in response to environmental challenges. Using RNA interference, we validated the role of Syp in regulating SIH. Syp encodes Syncrip, an RBP. While ubiquitous knockdown of Syp led to lethality during development, adult flies with neuron specific Syp knockdown were viable and exhibited decreased SIH. Using the Temporal and Regional Gene Expression Targeting (TARGET) system, we further confirmed the role of Syp in adult neurons in regulating SIH. Lastly, RNA-seq analyses revealed that Syp was alternatively spliced under starvation while its expression level was unchanged. Together, this study not only demonstrates genetic contributions to SIH as an important behavioral trait but also highlights the significance of RBPs and post-transcriptional processes in regulating SIH.

2020-07-20 | GSE149790 | GEO

The SWI/SNF Complex Regulates the PRDM Protein Hamlet to Ensure Lineage Directionality in Drosophila Neural Stem Cells

Project description:Members of the SWI/SNF chromatin-remodeling complex are among the most frequently mutated genes in human cancer. SWI/SNF complex controls self-renewal and differentiation in stem cell lineages but how this function relates to tumorigenesis is currently unclear. Here, we use Drosophila neuroblasts to demonstrate that the SWI/SNF component Osa (ARID1) prevents tumorigenesis in stem cell lineages by ensuring correct unidirectional lineage progression. Our transcriptome anaysis identifies Ham as a key Osa target gene. comparison of transcriptomes of wild type Drosophila melanogaster larval type II NB lineages (excluding neurons) and osa RNAi type II lineages containing mainly NB-like cells and INPs

2014-03-13 | E-GEOD-48242 | biostudies-arrayexpress

Induction of pPLT2-PLT2-GR in Quiescent Center (QC) cells

Project description:Organ formation in animals and plants relies on precise control of cell state transitions to turn stem cell daughters into fully differentiated cells. In plants, cells cannot rearrange due to shared cell walls. Thus, differentiation progression and the accompanying cell expansion must be tightly coordinated. PLETHORA (PLT) transcription factor gradients were shown to guide the progression of cell differentiation at different positions in the Arabidopsis root. While well-described transcription factor gradients in animals specify distinct cell fates within an essentially static context, the PLT gradient is unique in its ability to control cell differentiation in a growing organ during continuous production and expansion of cells. To understand the output of these gradients we studied the gene set transcriptionally controlled by PLTs. Our work reveals how the PLT gradient regulates cell state by region-specific induction of cell proliferation genes and repression of differentiation. Moreover, PLT targets include major patterning genes and autoregulatory feedback components, reinforcing their role as master regulators of organ development.

2016-12-06 | GSE79751 | GEO

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