RNA-Seq profiling in peripheral blood mononuclear cells of amyotrophic lateral sclerosis patients and controls

被引：23

作者：

Zucca, Susanna ^{[1
]}

Gagliardi, Stella ^{[1
]}

Pandini, Cecilia ^{[1
,2
]}

Diamanti, Luca ^{[3
,4
]}

Bordoni, Matteo ^{[1
,3
]}

Sproviero, Daisy ^{[1
]}

Arigoni, Maddalena ^{[5
]}

Olivero, Martina ^{[5
]}

Pansarasa, Orietta ^{[1
]}

Ceroni, Mauro ^{[3
,4
]}

Calogero, Raffaele ^{[5
]}

Cereda, Cristina ^{[1
]}

机构：

[1] IRCCS Mondino Fdn, Genom & Postgenom Ctr, Pavia, Italy

[2] Univ Pavia, Dept Biol & Biotechnol L Spallanzani, Pavia, Italy

[3] Univ Pavia, Dept Brain & Behav Sci, Pavia, Italy

[4] IRCCS Mondino Fdn, Gen Neurol, Pavia, Italy

[5] Univ Turin, Dept Mol Biotechnol & Hlth Sci, Bioinformat & Genom Unit, Turin, Italy

来源：

SCIENTIFIC DATA | 2019年 / 6卷 / 1期

关键词：

LONG NONCODING RNAS; DIFFERENTIAL EXPRESSION; ANNOTATION; GENCODE;

D O I：

10.1038/sdata.2019.6

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：

Coding and long non-coding RNA (lncRNA) metabolism is now revealing its crucial role in Amyotrophic Lateral Sclerosis (ALS) pathogenesis. In this work, we present a dataset obtained via Illumina RNA-seq analysis on Peripheral Blood Mononuclear Cells (PBMCs) from sporadic and mutated ALS patients (mutations in FUS, TARDBP, SOD1 and VCP genes) and healthy controls. This dataset allows the whole-transcriptome characterization of PBMCs content, both in terms of coding and non-coding RNAs, in order to compare the disease state to the healthy controls, both for sporadic patients and for mutated patients. Our dataset is a starting point for the omni-comprehensive analysis of coding and lncRNAs, from an easy to withdraw, manage and store tissue that shows to be a suitable model for RNA profiling in ALS.

引用

页数：8

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