Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genome-wide analysis of the SNAPc complex [ChIP-Seq]

ABSTRACT: The small nuclear RNA (snRNA)-activating protein complex (SNAPc) is a basal transcription factor that mediates the transcriptional activation of snRNAs. Here, we describe the genome-wide occupancy of the SNAPC1 and SNAPC4 subunits of SNAPc. While the SNAPC4 occupancy was in accord with the role for SNAPc in snRNA transcription, SNAPC1 displayed a broader genomic profile mirroring that of RNA polymerase II at highly active protein-coding genes. Our functional analysis revealed a role for SNAPc1 in regulation of both basal and activator-induced transcription of protein-coding genes. These studies expand the role for SNAPC1 beyond its regulation of snRNA transcription. Comparison of the genome wide profiles of different SNAPc subunits and RNAPII in human cells

ORGANISM(S): Homo sapiens

SUBMITTER: Alessandro Gardini

PROVIDER: E-GEOD-37403 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Requirement for SNAPC1 in transcriptional responsiveness to diverse extracellular signals.

Baillat David D Gardini Alessandro A Cesaroni Matteo M Shiekhattar Ramin R

Molecular and cellular biology 20120910 22

Initiation of transcription of RNA polymerase II (RNAPII)-dependent genes requires the participation of a host of basal transcription factors. Among genes requiring RNAPII for transcription, small nuclear RNAs (snRNAs) display a further requirement for a factor known as snRNA-activating protein complex (SNAPc). The scope of the biological function of SNAPc and its requirement for transcription of protein-coding genes has not been elucidated. To determine the genome-wide occupancy of SNAPc, we pe ...[more]

PMID: 22966203

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Project description:Precise control of the innate immune response is required for resistance to microbial infections and maintenance of normal tissue homeostasis. Because this response involves coordinate regulation of hundreds of genes, it provides a powerful biological system to elucidate the molecular strategies that underlie signal- and time-dependent transitions of gene expression. Using a combination of genome-wide and gene-specific approaches, we provide evidence that rather than representing off/on transitions, Toll-like receptor 4 (TLR4)-dependent activation of nearly all immediate/early (I/E) and late response genes results from a sequential process in which signal-independent factors, exemplified by Gabpa, initially establish basal levels of gene expression that are then amplified by signal-dependent transcription factors. Promoters of I/E genes are distinguished from those of late genes by the use of distinct sets of signal-dependent transcription factors, preferential binding of TBP and basal enrichment for RNA Pol II immediately downstream of transcriptional start sites. Global nuclear run-on (GRO) sequencing and total RNA sequencing further indicates that TLR4 signaling markedly increases efficiency of transcriptional elongation of nearly all I/E genes, while RNA splicing is largely unaffected. NCoR/SMRT co-repressor complexes are unexpectedly found to be associated with H3K4me3-positive promoters of TLR4-responsive genes that exhibit a broad range of basal expression levels, implying a dynamic, rather than static role in regulation of gene expression. Collectively, these findings reveal mechanisms underlying temporally distinct patterns of TLR4-dependent gene activation required for homeostasis and effective immune responses. ChIP-Seq, Total RNA-Seq, Gro-Seq, and gene expression profiling was performed in macrophages treated with Kdo2 Lipid A. Control samples for H3K4me3 in Macrophages and B cells, in addition to control microarray data are included in GEO accession# GSE21512. FASTA files are available for older experiments that lack quality read information (i.e. no FASTQ file)

Dataset Information

Genome-wide analysis of the SNAPc complex [ChIP-Seq]

Publications

Requirement for SNAPC1 in transcriptional responsiveness to diverse extracellular signals.

Similar Datasets

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