Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson’s disease revealed by deep sequencing analysis | Zendy

Lorena Pantano | Zendy; Marc R. Friedländer | Zendy; Geòrgia Escaramís | Zendy; Esther Lizano | Zendy; Joan Pallarès-Albanell | Zendy; Isidró Ferrer | Zendy; Xavier Estivill | Zendy; Eulàlia Martı́ | Zendy

Open Access

Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson’s disease revealed by deep sequencing analysis

Author(s) -

Lorena Pantano,

Marc R. Friedländer,

Geòrgia Escaramís,

Esther Lizano,

Joan Pallarès-Albanell,

Isidró Ferrer,

Xavier Estivill,

Eulàlia Martı́

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv632

Subject(s) - microrna , computational biology , small rna , biology , transfer rna , rna , non coding rna , genetics , gene , bioinformatics

Most computational tools for small non-coding RNAs (sRNA) sequencing data analysis focus in microRNAs (miRNAs), overlooking other types of sRNAs that show multi-mapping hits. Here, we have developed a pipeline to non-redundantly quantify all types of sRNAs, and extract patterns of expression in biologically defined groups. We have used our tool to characterize and profile sRNAs in post-mortem brain samples of control individuals and Parkinson's disease (PD) cases at early-premotor and late-symptomatic stages.

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