Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE64405 | GEO | 2017/02/09

SECONDARY ACCESSION(S): PRJNA270933

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

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

Project description: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.

2015-10-21 | GSE71103 | 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

Expression data from hiPSCs-NSCs towards 4T1

Project description:Neural stem cells can migrate towards tumors of both neural and non-neural origins, which is crucial for the success in treating disseminated tumors. Although the understanding of the molecular mechanisms underlying NSC tumor tropism is limited, it has been noted that several cytokines, growth factors and receptors direct the migration in vitro. A proper understanding of the basic molecular mechanisms of NSC migration towards tumors, especially identification of key cellular regulators of the migration, will have important implications in improving the effectiveness of engineering and employing NSCs as tumor therapy agents. We compared gene expression profiles between migratory and non-migratory hiPSC-NSCs towards cancer cells using cDNA microarray profiling.

2013-02-28 | GSE40750 | GEO

Expression data from hiPSCs-NSCs towards U87

2013-02-28 | GSE40749 | GEO

Expression data from hiPSCs-NSCs towards 4T1

2013-02-28 | E-GEOD-40750 | biostudies-arrayexpress

Expression data from hiPSCs-NSCs towards U87

2013-02-28 | E-GEOD-40749 | biostudies-arrayexpress

Ependyma-expressed CCN1 restricts the size of the neural stem cell pool in the adult ventricular-subventricular zone

Project description:Adult neural stem cells (NSCs) reside in specialized niches, which hold a balanced number of NSCs, their progeny, and other cells. How niche capacity is regulated to contain a specific number of NSCs remains unclear. Here, we show that ependyma-derived matricellular protein CCN1 (cellular communication network factor 1) negatively regulates niche capacity and NSC number in the adult ventricular-subventricular zone (V-SVZ). Adult ependyma-specific deletion of Ccn1 transiently enhanced NSC proliferation and reduced neuronal differentiation in mice, increasing the numbers of NSCs and NSC units. Although proliferation of NSCs and neurogenesis seen in Ccn1 knockout mice eventually returned to normal, the expanded NSC pool was maintained in the V-SVZ until old age. Inhibition of EGFR signaling prevented expansion of the NSC population observed in CCN1 deficient mice. Thus, ependyma-derived CCN1 restricts NSC expansion in the adult brain to maintain the proper niche capacity of the V-SVZ.

2020-02-19 | GSE137852 | GEO

Early transcriptional changes linked to naturally occurring Huntington's disease mutations in human embryonic stem cells

Project description:Multiple human embryonic stem (ES) cell lines derived from blastocysts diagnosed as carrying the mutant huntingtin gene by pre-implantation diagnosis were used to explore early developmental changes in gene expression. How mutant huntingtin impacts on signalling pathways in the pre-symptomatic period has remained essentially unexplored in humans due to a previous lack of appropriate models. Total RNA was isolated from 10 human ES cell lines, 6 HD and 4 wild type control, and their neural stem cell (NSC) progeny.

2012-06-19 | E-GEOD-34201 | biostudies-arrayexpress

Imperatorin induces autophagy and G0/G1 phase arrest via PTEN-PI3K-AKT-mTOR/p21 signaling pathway in human osteosarcoma cells in vitro and in vivo

Project description:Osteosarcoma is the third most common cancer in adolescence and the first common primary malignant tumor of bone. The long-term prognosis of osteosarcoma, especially for unresectable and metastatic tumors, still remains unsatisfactory in the past decades. In this study, we systematically investigated the antitumor effect of imperatorin (IMP), a small molecule extracted from Angelica dahurica, in human osteosarcoma cells. The results showed that IMP triggered time-dependent and dose-dependent inhibition of tumor growth mainly by inducing autophagy promotion and G0/G1 phase arrest in vitro and in vivo. Besides, IMP treatment elevated the expression level of PTEN and p21, down-regulated the phosphorylation of AKT and mTOR. In contrast, the inhibition of PTEN using Bpv (HOpic), a potential and selective inhibitor of PTEN, concurrently rescued IMP-induced autophagy promotion, cell cycle arrest and inactivation of PTEN-PI3K-AKT-mTOR/p21 pathway. Taken together, our data revealed that imperatorin induced autophagy and cell cycle arrest through PTEN-PI3K-AKT-mTOR/p21 signaling pathway by targeting and up-regulating PTEN in human osteosarcoma cells. Hence, imperatorin is a desirable candidate for clinical treatments of osteosarcoma.

2021-12-23 | GSE180321 | 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