Meta-Analysis of Parkinson's Disease Transcriptome Data Using TRAM Software: Whole Substantia Nigra Tissue and Single Dopamine Neuron Differential Gene Expression

被引:40
|
作者
Mariani, Elisa [1 ]
Frabetti, Flavia [2 ]
Tarozzi, Andrea [1 ]
Pelleri, Maria Chiara [2 ]
Pizzetti, Fabrizio [2 ]
Casadei, Raffaella [1 ]
机构
[1] Univ Bologna, Dept Life Qual Studies, Rimini, Italy
[2] Univ Bologna, Dept Expt Diagnost & Specialty Med, Bologna, Italy
来源
PLOS ONE | 2016年 / 11卷 / 09期
关键词
REFERENCE MAP; INSIGHTS; GENOMICS; PROTEIN; INVOLVEMENT; MICRORNAS; EVOLUTION; PEPTIDES; INVASION; PATHWAYS;
D O I
10.1371/journal.pone.0161567
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The understanding of the genetic basis of the Parkinson's disease (PD) and the correlation between genotype and phenotype has revolutionized our knowledge about the pathogenetic mechanisms of neurodegeneration, opening up exciting new therapeutic and neuroprotective perspectives. Genomic knowledge of PD is still in its early stages and can provide a good start for studies of the molecular mechanisms that underlie the gene expression variations and the epigenetic mechanisms that may contribute to the complex and characteristic phenotype of PD. In this study we used the software TRAM (Transcriptome Mapper) to analyse publicly available microarray data of a total of 151 PD patients and 130 healthy controls substantia nigra (SN) samples, to identify chromosomal segments and gene loci differential expression. In particular, we separately analyzed PD patients and controls data from post-mortemsnap-frozen SN whole tissue and from laser microdissected midbrain dopamine (DA) neurons, to better characterize the specific DA neuronal expression profile associated with the late-stage Parkinson's condition. The default "Map" mode analysis resulted in 10 significantly over/under-expressed segments, mapping on 8 different chromosomes for SN whole tissue and in 4 segments mapping on 4 different chromosomes for DA neurons. In conclusion, TRAM software allowed us to confirm the deregulation of some genomic regions and loci involved in key molecular pathways related to neurodegeneration, as well as to provide new insights about genes and non-coding RNA transcripts not yet associated with the disease.
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页数:21
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