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Series GSE179383 Query DataSets for GSE179383
Status Public on Dec 01, 2021
Title Deciphering the conserved dynamic transcriptional signature and regulatory software governing neuronal fate commitment
Organism Rattus norvegicus
Experiment type Expression profiling by array
Summary The transcriptional program underlying neuronal apoptosis and survival has to date been partially characterized. However, the complete spectrum of genes/proteins as well as the ‘regulatory software’ controlling neuronal fate decisions remain almost entirely unknown. Here, for the first time, we characterized the earliest molecular events following the induction of neuronal apoptosis and its rescue by three potent anti-apoptotic growth factors (GFs), in order to identify key genes and upstream regulators primarily responsible for driving execution of these processes. A core set of 175 survival-related genes (SRGs) with opposite transcriptional signatures between apoptosis and GF-mediated survival was identified. Promoter motif analysis of SRGs revealed a repertoire of intrinsic upstream regulators that may drive the apoptotic/survival switch, with Hoxd9 predicted to be the master regulator. Finally, the clinical implication of SRGs in the pathogenesis of neurological and neuropsychiatric diseases, here emerged, suggested their potential utility as targets for treating these severe disorders.
 
Overall design Time-course transcriptional analysis of serum-deprived cerebellar granule neurons (CGNs) after 0.5h, 1h and 3h switch from 25 mM (K25) to 5 mM KCl (K5), in the presence or absence of a maximal effective dose of SP (200 nM), Pacap (100 nM) or Igf1 (3.26 pM). Four biological replicates (derived from the same litter) for each experimental condition (K25, K5, K5+SP, K5+Pacap, K5+Igf1) were analyzed.
 
Contributor(s) Morello G, La Cognata V, Guarnaccia M, Spampinato AG, Gentile G, Villari A, Cavallaro S
Citation(s) 34831459
Submission date Jul 03, 2021
Last update date Dec 02, 2021
Contact name Sebastiano Cavallaro
E-mail(s) sebastiano.cavallaro@cnr.it
Organization name IRIB-CNR
Street address Via Paolo Gaifami, 18
City Catania
ZIP/Postal code 95126
Country Italy
 
Platforms (1)
GPL15084 Agilent-028279 SurePrint G3 Rat GE 8x60K Microarray (Probe Name version)
Samples (60)
GSM5416535 K25 30' rep1
GSM5416536 K25 30' rep2
GSM5416537 K25 30' rep3
Relations
BioProject PRJNA743521

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE179383_RAW.tar 184.0 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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