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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Main Authors: Alexander S. Garruss, Trent Fowler
Format: Article
Language:English
Published: Elsevier 2015-09-01
Series:Genomics Data
Online Access:http://www.sciencedirect.com/science/article/pii/S2213596015001166
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spelling doaj-0a91928ff5c448c899e5ac62773b3c5d2020-11-25T02:25:54ZengElsevierGenomics Data2213-59602015-09-015C23824010.1016/j.gdata.2015.06.007Dataset of transcriptional landscape of B cell early activationAlexander S. Garruss0Trent Fowler1Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USADepartment of Developmental, Chemical and Molecular Biology, Sackler School of Biomedical Science, Tufts University School of Medicine, 150 Harrison Avenue, Boston, MA 02111, USASignaling 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.http://www.sciencedirect.com/science/article/pii/S2213596015001166
collection DOAJ
language English
format Article
sources DOAJ
author Alexander S. Garruss
Trent Fowler
spellingShingle Alexander S. Garruss
Trent Fowler
Dataset of transcriptional landscape of B cell early activation
Genomics Data
author_facet Alexander S. Garruss
Trent Fowler
author_sort Alexander S. Garruss
title Dataset of transcriptional landscape of B cell early activation
title_short 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_sort dataset of transcriptional landscape of b cell early activation
publisher Elsevier
series Genomics Data
issn 2213-5960
publishDate 2015-09-01
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.
url http://www.sciencedirect.com/science/article/pii/S2213596015001166
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