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Dataset of transcriptional landscape of B cell early activation

Signaling via B cell receptors (BCR) and Toll-like receptors (TLRs) result in activation of B cells with distinct physiological outcomes, but transcriptional regulatory mechanisms that drive activation and distinguish these pathways remain unknown. At early time points after BCR and TLR ligand expos...

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Detalles Bibliográficos
Autores principales: Garruss, Alexander S., Fowler, Trent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583667/
https://www.ncbi.nlm.nih.gov/pubmed/26484262
http://dx.doi.org/10.1016/j.gdata.2015.06.007
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author Garruss, Alexander S.
Fowler, Trent
author_facet Garruss, Alexander S.
Fowler, Trent
author_sort Garruss, Alexander S.
collection PubMed
description Signaling via B cell receptors (BCR) and Toll-like receptors (TLRs) result in activation of B cells with distinct physiological outcomes, but transcriptional regulatory mechanisms that drive activation and distinguish these pathways remain unknown. At early time points after BCR and TLR ligand exposure, 0.5 and 2 h, RNA-seq was performed allowing observations on rapid transcriptional changes. At 2 h, ChIP-seq was performed to allow observations on important regulatory mechanisms potentially driving transcriptional change. The dataset includes RNA-seq, ChIP-seq of control (Input), RNA Pol II, H3K4me3, H3K27me3, and a separate RNA-seq for miRNA expression, which can be found at Gene Expression Omnibus Dataset GSE61608. Here, we provide details on the experimental and analysis methods used to obtain and analyze this dataset and to examine the transcriptional landscape of B cell early activation.
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spelling pubmed-45836672015-10-19 Dataset of transcriptional landscape of B cell early activation Garruss, Alexander S. Fowler, Trent Genom Data Data in Brief Signaling via B cell receptors (BCR) and Toll-like receptors (TLRs) result in activation of B cells with distinct physiological outcomes, but transcriptional regulatory mechanisms that drive activation and distinguish these pathways remain unknown. At early time points after BCR and TLR ligand exposure, 0.5 and 2 h, RNA-seq was performed allowing observations on rapid transcriptional changes. At 2 h, ChIP-seq was performed to allow observations on important regulatory mechanisms potentially driving transcriptional change. The dataset includes RNA-seq, ChIP-seq of control (Input), RNA Pol II, H3K4me3, H3K27me3, and a separate RNA-seq for miRNA expression, which can be found at Gene Expression Omnibus Dataset GSE61608. Here, we provide details on the experimental and analysis methods used to obtain and analyze this dataset and to examine the transcriptional landscape of B cell early activation. Elsevier 2015-06-12 /pmc/articles/PMC4583667/ /pubmed/26484262 http://dx.doi.org/10.1016/j.gdata.2015.06.007 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data in Brief
Garruss, Alexander S.
Fowler, Trent
Dataset of transcriptional landscape of B cell early activation
title Dataset of transcriptional landscape of B cell early activation
title_full Dataset of transcriptional landscape of B cell early activation
title_fullStr Dataset of transcriptional landscape of B cell early activation
title_full_unstemmed Dataset of transcriptional landscape of B cell early activation
title_short Dataset of transcriptional landscape of B cell early activation
title_sort dataset of transcriptional landscape of b cell early activation
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583667/
https://www.ncbi.nlm.nih.gov/pubmed/26484262
http://dx.doi.org/10.1016/j.gdata.2015.06.007
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