Whole transcriptome profiling of Late-Onset Alzheimer's Disease patients provides insights into the molecular changes involved in the disease

被引:91
作者
Annese, Anita [1 ]
Manzari, Caterina [1 ]
Lionetti, Claudia [1 ]
Picardi, Ernesto [1 ,2 ]
Horner, David S. [1 ,3 ]
Chiara, Matteo [3 ]
Caratozzolo, Mariano Francesco [1 ]
Tullo, Apollonia [1 ]
Fosso, Bruno [1 ]
Pesole, Graziano [1 ,2 ,4 ]
D'Erchia, Anna Maria [1 ,2 ]
机构
[1] CNR, Inst Biomembranes Bioenerget & Mol Biotechnol, Via Amendola 165-A, I-70126 Bari, Italy
[2] Univ Bari, Dept Biosci Biotechnol & Biopharmaceut, Via Orabona 4, I-70126 Bari, Italy
[3] Univ Milan, Dept Biosci, Via Celoria 26, I-20133 Milan, Italy
[4] Univ Bari, Ctr Excellence Comparat Genom, Piazza Umberto 1, I-70121 Bari, Italy
关键词
ADENOSINE-DEAMINASE; EXPRESSION; BRAIN; MICRORNA-132; PATHOLOGY; DATABASE; NETWORKS; GENES; RECOGNITION; ASSOCIATION;
D O I
10.1038/s41598-018-22701-2
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
Alzheimer's Disease (AD) is the most common cause of dementia affecting the elderly population worldwide. We have performed a comprehensive transcriptome profiling of Late-Onset AD (LOAD) patients using second generation sequencing technologies, identifying 2,064 genes, 47 lncRNAs and 4 miRNAs whose expression is specifically deregulated in the hippocampal region of LOAD patients. Moreover, analyzing the hippocampal, temporal and frontal regions from the same LOAD patients, we identify specific sets of deregulated miRNAs for each region, and we confirm that the miR-132/212 cluster is deregulated in each of these regions in LOAD patients, consistent with these miRNAs playing a role in AD pathogenesis. Notably, a luciferase assay indicates that miR-184 is able to target the 3'UTR NR4A2 - which is known to be involved in cognitive functions and long-term memory and whose expression levels are inversely correlated with those of miR-184 in the hippocampus. Finally, RNA editing analysis reveals a general RNA editing decrease in LOAD hippocampus, with 14 recoding sites significantly and differentially edited in 11 genes. Our data underline specific transcriptional changes in LOAD brain and provide an important source of information for understanding the molecular changes characterizing LOAD progression.
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页数:15
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