Dataset Information


Transcription profiling time series analyzing the molecular events in rat spinal cord sections following mechanical injury

ABSTRACT: Summary: Spinal cord injury (SCI) is a damage to the spinal cord induced by trauma or disease resulting in a loss of mobility or feeling. SCI is characterized by a primary mechanical injury followed by a secondary injury in which several molecular events are altered in the spinal cord often resulting in loss of neuronal function. Hypothesis: Spinal cord injury (SCI) induces a cascade of molecular events including the activation of genes associated with transcription factors, inflammation, oxidative stress, ionic imbalance, apoptosis and neuroregeneration which suggests the existance of endogenous reparative attempts. However, not all mechanisms following SCI are well known. Specific Aim: The goal of this project is to analyze the molecular events following spinal cord injury 1 cm above, below, and at the site of injury (T9), aiming at finding potential new targets to improve recovery and therapy.

INSTRUMENT(S): 418 [Affymetrix]

ORGANISM(S): Rattus norvegicus  

TISSUE(S): Spinal Cord (t10), Spinal Cord (t8), Spinal Cord (t9)

DISEASE(S): Severe Spinal Cord Injury,Mild Spinal Cord Injury,Moderate Spinal Cord Injury,Normal

SUBMITTER: Eric Hoffman  

PROVIDER: E-GEOD-464 | ArrayExpress | 2007-09-04



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Gene profiling in spinal cord injury shows role of cell cycle in neuronal death.

Di Giovanni Simone S   Knoblach Susan M SM   Brandoli Cinzia C   Aden Sadia A SA   Hoffman Eric P EP   Faden Alan I AI  

Annals of neurology 20030401 4

Spinal cord injury causes secondary biochemical changes leading to neuronal cell death. To clarify the molecular basis of this delayed injury, we subjected rats to spinal cord injury and identified gene expression patterns by high-density oligonucleotide arrays (8,800 genes studied) at 30 minutes, 4 hours, 24 hours, or 7 days after injury (total of 26 U34A profiles). Detailed analyses were limited to 4,300 genes consistently expressed above background. Temporal clustering showed rapid expression  ...[more]

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