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accession-icon GSE8030
miRNAs and codon usage regulate striatal gene and protein expression in two mouse models of Parkinsons disease
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The molecular mechanisms underlying the changes in the nigrostriatal pathway in Parkinsons disease (PD) are not completely understood. Here we use microarrays and mass spectrometry to study the transcriptomic and proteomic changes in the striatum of two mouse models of PD induced by distinct neurotoxins, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and methamphetamine (METH). Transcripts and proteins were found with similar abundance changes in both models which may be involved in the pathophysiology of PD. GFAP transcript and protein levels were significantly up-regulated by both neurotoxins, confirming the known astrocytic response to these drugs. Other genes and proteins were idiosyncratic in their responses to the two toxins, suggesting specific toxicological responses. Comparing transcript and protein levels revealed that efficiently translated genes used more commonly occurring codons than inefficiently translated genes. Additionally, a potential role was found for miRNAs in translational control in the striatum. The results constitute one of the largest datasets integrating transcript and protein changes for these two neurotoxin models with many similar endpoint phenotypes but distinct pathologies. Using multiple toxins while examining proteins and transcripts can be an effective method of delineating the molecular pathology of neurodegenerative diseases.

Publication Title

Mitochondrial dysfunction, oxidative stress, and apoptosis revealed by proteomic and transcriptomic analyses of the striata in two mouse models of Parkinson's disease.

Sample Metadata Fields

Sex, Age, Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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