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Genome-wide quantitative core promoter activity maps reveal a wide range of sequence-intrinsic transcription initiation strengths

ABSTRACT: Gene expression is controlled by enhancers that activate transcription from the core promoters of their target genes. Although a key function of core promoters is to convert enhancer activities into gene transcription, whether and how strongly they activate transcription in response to enhancers has not been systematically assessed on a genome-wide level. Here we describe self-transcribing active core promoter sequencing (STAP-seq), a method to determine the responsiveness of genomic sequences to enhancers, and apply it to the Drosophila melanogaster genome. We cloned candidate fragments at the position of the core promoter (also called minimal promoter) in reporter plasmids with or without a strong enhancer, transfected the resulting library into cells, and quantified the transcripts that initiated from each candidate for each setup by deep sequencing. In the presence of a single strong enhancer, the enhancer responsiveness of different sequences differs by several orders of magnitude, and different levels of responsiveness are associated with genes of different functions. We also identify sequence features that predict enhancer responsiveness and discuss different core promoters are employed for the regulation of gene expression.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE78886 | GEO | 2016/12/26

SECONDARY ACCESSION(S): PRJNA314298

REPOSITORIES: GEO

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Project description:Transcriptional cofactors communicate regulatory cues from enhancers to promoters and are central effectors of transcription activation and gene expression, which is a hallmark of all multicellular organisms. However, the extent to which different cofactors display intrinsic specificity for distinct promoters is unclear. Testing intrinsic COF – CP preferences requires the systematic assessment of transcriptional activation for many CPs in the presence or absence of a given COF in an otherwise constant standardized reporter system. We therefore combined a plasmid-based high-throughput reporter assay, Self-Transcribing Active Core Promoter-sequencing (STAP-seq), with the specific recruitment of individual COFs to create a high-throughput activator bypass-like assay. Using this assay, we tested whether 23 different individually tethered Drosophila melanogaster COFs could activate transcription from any of 72,000 CP candidates in S2 cells. We selected COFs that represent different functional classes and enzymatic activities: histone-acetyl transferases (Nejire - the fly ortholog of CBP/P300, Mof, Gcn5 - ortholog of pCAF, Atac2, Tip60, Br140), three components of the COMPASS-like histone H3K4 methyltransferase complexes (Lpt, Trr and Trx), nucleosome remodeling ATP-ase (Brm), two Chromo or Chromo-shadow domain (Chro and Mof) and three Bromodomain (Brd8, Brd9 and fs(1)h - ortholog of Brd4) -containing COFs, three subunits of the Mediator Complex (MED15, MED24 and MED25), three subunits of the TFIID general transcription factor (Taf4, Tbp and Trf2) and three less well-characterized COFs (EMSY, Gfzf and Pzg). We used the strong transcriptional activator P65 as a positive and GFP as a negative control. In addition, we tested 6 COFs and the 2 controls in two other Drosophila cell lines: ovarian somatic cells (OSC) and Kc167 cells. We uncovered five classes of core promoters, distinguished by their differential response to specific cofactors and by the presence of known sequence elements, such as the TATA-box, Down-stream Promoter Element, or TCT motif. Moreover, the five promoter types show distinct chromatin properties at endogenous loci. The observed compatibilities between cofactors and promoters can explain how different enhancers specifically activate distinct sets of genes, alternative promoters within the same genes, or even distinct transcription starting sites within the same promoters. Thus, cofactor–promoter compatibilities may underlie distinct transcriptional programs.

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Genome-wide quantitative core promoter activity maps reveal a wide range of sequence-intrinsic transcription initiation strengths

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