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 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.
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA ; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Alexander S
AS
Garruss
Department of Developmental, Chemical and Molecular Biology, Sackler School of Biomedical Science, Tufts University School of Medicine, 150 Harrison Avenue, Boston, MA 02111, USA.
Trent
T
Fowler
Activation; B cell; Landscape; Transcriptional