Dataset Information


Global transcriptomic profiling of hypoxic ischemia in an in vivo neonatal mouse model: cortex

ABSTRACT: Hypoxia-ischemia (HI) brain damage is one of the most common causes of neonatal brain injuries, amidst other conditions such as intrauterine infection and perinatal cerebral hemorrhage (Bracci et al., 2006). HI, occurring during the perinatal period, severely affects brain integrity resulting in detrimental long-term neurological morbidity in terms of motor, intellectual, educational and neuropsychological performance deficits (e.g. cerebral palsy, mental retardation, learning disability and epilepsy), and even neonatal mortality (Cowan et al., 2003; Ferriero, 2004; van Handel et al., 2007; Shalak and Perlman, 2004). Current therapeutic interventions fail to provide substantial reversal of HI brain injuries and improvement in overall cognitive function. Recent clinical studies demonstrated that post-HI hypothermia provide moderate neuroprotection but fail to show any significant reduction in neonatal morbidity and mortality (Shankaran et al., 2005). We would like to investigate the transcriptional effects of HI on neonatal brain, and if hypoxic pre-conditioning is beneficial to the reduction of brain damage. Microarray analysis was performed on the cortex of neonatal brains using Illumina mouse Ref8 V2 genechips. The right common carotid artery was exposed through a ventral midline neck incision and permanently occluded by electrocoagulation, The wound was sutured and mouse pups were returned to their mother for 1.5–2 h. Sham control and pre-conditioned mice (n = 4) underwent the identical procedure, without carotid artery occlusion. Pups were then placed in an 8% O2/92% N2 humidified chamber at 37°C for 1 h with tissue extraction taking place 3h, 8h and 24h thereafter (n=4 respectively). Sham controls were included in this study too (n=4 respectively).

ORGANISM(S): Mus musculus  

SUBMITTER: Minghui Chen   Nam S Cheung  Jayapal Manikandan  Peter Crack  Minghui Jessica Chen 

PROVIDER: E-GEOD-23317 | ArrayExpress | 2013-12-31



Similar Datasets

2013-12-31 | E-GEOD-23319 | ArrayExpress
2013-12-31 | E-GEOD-23333 | ArrayExpress
| GSE23319 | GEO
| GSE23317 | GEO
2011-01-10 | E-GEOD-23162 | ArrayExpress
1000-01-01 | S-EPMC6305254 | BioStudies
2016-01-01 | S-EPMC4785034 | BioStudies
2019-01-01 | S-EPMC6678481 | BioStudies
2014-01-01 | S-EPMC3990589 | BioStudies
2016-01-01 | S-EPMC4681657 | BioStudies