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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)190006
JournalScientific data
Volume6
DOIs
Publication statusPublished - Feb 5 2019

Fingerprint

Profiling
RNA
Blood
coding
Lateral
Coding
Cell
Metabolism
Mutation
Gene
Disease
Genes
Tissue
Model

Cite this

@article{0431e73f81d2483d87853ec1a522c5b6,
title = "RNA-Seq profiling in peripheral blood mononuclear cells of amyotrophic lateral sclerosis patients and controls",
abstract = "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.",
author = "Susanna Zucca and Stella Gagliardi and Cecilia Pandini and Luca Diamanti and Matteo Bordoni and Daisy Sproviero and Maddalena Arigoni and Martina Olivero and Orietta Pansarasa and Mauro Ceroni and Raffaele Calogero and Cristina Cereda",
year = "2019",
month = "2",
day = "5",
doi = "10.1038/sdata.2019.6",
language = "English",
volume = "6",
pages = "190006",
journal = "Scientific data",
issn = "2052-4463",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - RNA-Seq profiling in peripheral blood mononuclear cells of amyotrophic lateral sclerosis patients and controls

AU - Zucca, Susanna

AU - Gagliardi, Stella

AU - Pandini, Cecilia

AU - Diamanti, Luca

AU - Bordoni, Matteo

AU - Sproviero, Daisy

AU - Arigoni, Maddalena

AU - Olivero, Martina

AU - Pansarasa, Orietta

AU - Ceroni, Mauro

AU - Calogero, Raffaele

AU - Cereda, Cristina

PY - 2019/2/5

Y1 - 2019/2/5

N2 - 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.

AB - 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.

U2 - 10.1038/sdata.2019.6

DO - 10.1038/sdata.2019.6

M3 - Article

C2 - 30720798

VL - 6

SP - 190006

JO - Scientific data

JF - Scientific data

SN - 2052-4463

ER -