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Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy

Treatment with fingolimod, a sphingosine-1-phosphate (S1P) receptor modulator, prevents the egress of immune cell subpopulations from lymphoid tissues into the blood. We obtained peripheral blood samples from patients with relapsing multiple sclerosis before the initiation of fingolimod therapy, aft...

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Autores principales: Koczan, Dirk, Fitzner, Brit, Klaus Zettl, Uwe, Hecker, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057441/
https://www.ncbi.nlm.nih.gov/pubmed/30040082
http://dx.doi.org/10.1038/sdata.2018.145
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author Koczan, Dirk
Fitzner, Brit
Klaus Zettl, Uwe
Hecker, Michael
author_facet Koczan, Dirk
Fitzner, Brit
Klaus Zettl, Uwe
Hecker, Michael
author_sort Koczan, Dirk
collection PubMed
description Treatment with fingolimod, a sphingosine-1-phosphate (S1P) receptor modulator, prevents the egress of immune cell subpopulations from lymphoid tissues into the blood. We obtained peripheral blood samples from patients with relapsing multiple sclerosis before the initiation of fingolimod therapy, after one day and after 3 months. To investigate the differential expression induced by the drug, five different cell populations were isolated. We then employed 150 Human Transcriptome Arrays (HTA 2.0) interrogating >245,000 protein-coding and >40,000 non-coding transcript isoforms. After 3 months of treatment, CD4+ and CD8+ T-cells showed huge transcriptome shifts, whereas the profiles of B-cells (CD19+) were slightly altered and those of monocytes (CD14+) and natural killer cells (CD56+) remained unaffected. With >6 million probes for exons and splice junctions, our large HTA 2.0 dataset provides a deep view into alternative splicing patterns in immune cell subsets. Our data may also be useful for comparing the effects on gene expression signatures of novel S1P receptor modulators, which are currently tested in clinical trials for other autoimmune and neurodegenerative diseases.
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spelling pubmed-60574412018-07-27 Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy Koczan, Dirk Fitzner, Brit Klaus Zettl, Uwe Hecker, Michael Sci Data Data Descriptor Treatment with fingolimod, a sphingosine-1-phosphate (S1P) receptor modulator, prevents the egress of immune cell subpopulations from lymphoid tissues into the blood. We obtained peripheral blood samples from patients with relapsing multiple sclerosis before the initiation of fingolimod therapy, after one day and after 3 months. To investigate the differential expression induced by the drug, five different cell populations were isolated. We then employed 150 Human Transcriptome Arrays (HTA 2.0) interrogating >245,000 protein-coding and >40,000 non-coding transcript isoforms. After 3 months of treatment, CD4+ and CD8+ T-cells showed huge transcriptome shifts, whereas the profiles of B-cells (CD19+) were slightly altered and those of monocytes (CD14+) and natural killer cells (CD56+) remained unaffected. With >6 million probes for exons and splice junctions, our large HTA 2.0 dataset provides a deep view into alternative splicing patterns in immune cell subsets. Our data may also be useful for comparing the effects on gene expression signatures of novel S1P receptor modulators, which are currently tested in clinical trials for other autoimmune and neurodegenerative diseases. Nature Publishing Group 2018-07-24 /pmc/articles/PMC6057441/ /pubmed/30040082 http://dx.doi.org/10.1038/sdata.2018.145 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Koczan, Dirk
Fitzner, Brit
Klaus Zettl, Uwe
Hecker, Michael
Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title_full Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title_fullStr Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title_full_unstemmed Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title_short Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy
title_sort microarray data of transcriptome shifts in blood cell subsets during s1p receptor modulator therapy
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057441/
https://www.ncbi.nlm.nih.gov/pubmed/30040082
http://dx.doi.org/10.1038/sdata.2018.145
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