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A curated transcriptome dataset collection to investigate inborn errors of immunity

Primary immunodeficiencies (PIDs) are a heterogeneous group of inherited disorders, frequently caused by loss-of-function and less commonly by gain-of-function mutations, which can result in susceptibility to a broad or a very narrow range of infections but also in inflammatory, allergic or malignan...

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Autores principales: Bougarn, Salim, Boughorbel, Sabri, Chaussabel, Damien, Marr, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749933/
https://www.ncbi.nlm.nih.gov/pubmed/31559014
http://dx.doi.org/10.12688/f1000research.18048.2
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author Bougarn, Salim
Boughorbel, Sabri
Chaussabel, Damien
Marr, Nico
author_facet Bougarn, Salim
Boughorbel, Sabri
Chaussabel, Damien
Marr, Nico
author_sort Bougarn, Salim
collection PubMed
description Primary immunodeficiencies (PIDs) are a heterogeneous group of inherited disorders, frequently caused by loss-of-function and less commonly by gain-of-function mutations, which can result in susceptibility to a broad or a very narrow range of infections but also in inflammatory, allergic or malignant diseases. Owing to the wide range in clinical manifestations and variability in penetrance and expressivity, there is an urgent need to better understand the underlying molecular, cellular and immunological phenotypes in PID patients in order to improve clinical diagnosis and management. Here we have compiled a manually curated collection of public transcriptome datasets mainly obtained from human whole blood, peripheral blood mononuclear cells (PBMCs) or fibroblasts of patients with PIDs and of control subjects for subsequent meta-analysis, query and interpretation. A total of eighteen (18) datasets derived from studies of PID patients were identified and retrieved from the NCBI Gene Expression Omnibus (GEO) database and loaded in GXB, a custom web application designed for interactive query and visualization of integrated large-scale data. The dataset collection includes samples from well characterized PID patients that were stimulated ex vivo under a variety of conditions to assess the molecular consequences of the underlying, naturally occurring gene defects on a genome-wide scale. Multiple sample groupings and rank lists were generated to facilitate comparisons of the transcriptional responses between different PID patients and control subjects. The GXB tool enables browsing of a single transcript across studies, thereby providing new perspectives on the role of a given molecule across biological systems and PID patients. This dataset collection is available at http://pid.gxbsidra.org/dm3/geneBrowser/list.
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spelling pubmed-67499332019-09-25 A curated transcriptome dataset collection to investigate inborn errors of immunity Bougarn, Salim Boughorbel, Sabri Chaussabel, Damien Marr, Nico F1000Res Data Note Primary immunodeficiencies (PIDs) are a heterogeneous group of inherited disorders, frequently caused by loss-of-function and less commonly by gain-of-function mutations, which can result in susceptibility to a broad or a very narrow range of infections but also in inflammatory, allergic or malignant diseases. Owing to the wide range in clinical manifestations and variability in penetrance and expressivity, there is an urgent need to better understand the underlying molecular, cellular and immunological phenotypes in PID patients in order to improve clinical diagnosis and management. Here we have compiled a manually curated collection of public transcriptome datasets mainly obtained from human whole blood, peripheral blood mononuclear cells (PBMCs) or fibroblasts of patients with PIDs and of control subjects for subsequent meta-analysis, query and interpretation. A total of eighteen (18) datasets derived from studies of PID patients were identified and retrieved from the NCBI Gene Expression Omnibus (GEO) database and loaded in GXB, a custom web application designed for interactive query and visualization of integrated large-scale data. The dataset collection includes samples from well characterized PID patients that were stimulated ex vivo under a variety of conditions to assess the molecular consequences of the underlying, naturally occurring gene defects on a genome-wide scale. Multiple sample groupings and rank lists were generated to facilitate comparisons of the transcriptional responses between different PID patients and control subjects. The GXB tool enables browsing of a single transcript across studies, thereby providing new perspectives on the role of a given molecule across biological systems and PID patients. This dataset collection is available at http://pid.gxbsidra.org/dm3/geneBrowser/list. F1000 Research Limited 2019-08-30 /pmc/articles/PMC6749933/ /pubmed/31559014 http://dx.doi.org/10.12688/f1000research.18048.2 Text en Copyright: © 2019 Bougarn S et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Bougarn, Salim
Boughorbel, Sabri
Chaussabel, Damien
Marr, Nico
A curated transcriptome dataset collection to investigate inborn errors of immunity
title A curated transcriptome dataset collection to investigate inborn errors of immunity
title_full A curated transcriptome dataset collection to investigate inborn errors of immunity
title_fullStr A curated transcriptome dataset collection to investigate inborn errors of immunity
title_full_unstemmed A curated transcriptome dataset collection to investigate inborn errors of immunity
title_short A curated transcriptome dataset collection to investigate inborn errors of immunity
title_sort curated transcriptome dataset collection to investigate inborn errors of immunity
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749933/
https://www.ncbi.nlm.nih.gov/pubmed/31559014
http://dx.doi.org/10.12688/f1000research.18048.2
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