Resolving a Systematic Error in STARR-seq for Quantitative Enhancer Activity Mapping in Arabidopsis thaliana
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PROVIDER: PRJNA659905 | ENA |
REPOSITORIES: ENA
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Project description:Enhancers are important regulators of gene expression, but their identification is a challenge in plants. STARR-seq is a method measuring directly the enhancer activity of millions fragments in parallel, which had been successfully used to identify enhancers in Drosophila and human genomes. Here we present a global map of rice enhancers whose activities are quantitatively determined by STARR-seq.We also predicted intergenic enhancers based on DNase I hypersensitivity as described in a previously published work. Predicted enhancers overlap poorly with STARR-seq enhancers, only about 400 sites accounting for 3-4% of total enhancers identified by these two different methods. In summary, our results of STARR-seq reveal that enhancers in a plant genome differ from animal enhancers in several aspects and provide a regulatory element resource for further functional and mechanistic studies in different contexts
2018-11-08 | GSE121231 | GEO
Project description:Genomic enhancers are important regulators of gene expression, but their identification is a challenge and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, enabling screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, linking differential gene expression to differences in enhancer activity and creating a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantitate enhancer activity in other eukaryotes, including human. STARR-seq was performed in S2 and OSC cells with paired-end sequencing in two replicates and respective inputs. DHS-seq was done with single-end sequencing in two replicates for S2 and OSC cells. RNA-seq was performed with a strand-specific protocol using single-end sequencing in two replicates within S2 and OSC cells. STARR-seq was also performed in HeLa cells with single-end sequencing with a respective input.
2013-01-17 | E-GEOD-40739 | biostudies-arrayexpress
Project description:Genomic enhancers are important regulators of gene expression, but their identification is a challenge and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, enabling screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, linking differential gene expression to differences in enhancer activity and creating a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantitate enhancer activity in other eukaryotes, including human.
2013-01-17 | GSE40739 | GEO
Project description:Enhancers activate transcription in a distance-, orientation-, and position-independent manner, which makes them difficult to be identified. Self-transcribing active regulatory region sequencing (STARR-seq) measures the enhancer activity of millions of DNA fragments in parallel. Here we used STARR-seq to generate a quantitative global map of rice enhancers. Most enhancers were mapped within genes, especially at the 5' untranslated regions (5'UTR) and in coding sequences. Enhancers were also frequently mapped proximal to silent and lowly-expressed genes in transposable element (TE)-rich regions. Analysis of the epigenetic features of enhancers at their endogenous loci revealed that most enhancers do not co-localize with DNase I hypersensitive sites (DHSs) and lack the enhancer mark of histone modification H3K4me1. Clustering analysis of enhancers according to their epigenetic marks revealed that about 40% of identified enhancers carried one or more epigenetic marks. Repressive H3K27me3 was frequently enriched with positive marks, H3K4me3 and/or H3K27ac, which together label enhancers. Intergenic enhancers were also predicted based on the location of DHS regions relative to genes, which overlap poorly with STARR-seq enhancers. In summary, we quantitatively identified enhancers by functional analysis in the genome of rice, an important model plant. This work provides a valuable resource for further mechanistic studies in different biological contexts.
| S-EPMC6624190 | biostudies-literature
Project description:Massively parallel reporter assays (MPRA) are widely used to discover functional enhancers but have largely been limited to transfected cell models. Here, we combine hydrodynamic injection with a modified STARR-seq-based MPRA to determine condition-specific enhancer activity in mouse liver at scale, and we examine how different promoters affect STARR-seq reporter activity. Strong liver enhancer activity was observed with STARR-seq libraries containing an Albumin minimal promoter but not when using a Super Core promoter or an origin of replication (ORI) promoter. This work is part of a larger study where we prepare a global STARR-seq library, comprised of ~50,000 genomic sequences released by DNase-I digestion of mouse liver nuclei, and where we identify condition-specific enhancers with strong correlations between liver enhancer activity and the chromatin state of the corresponding endogenous genomic regions.
2024-06-17 | GSE267075 | GEO
Project description:We combined Self-Transcribing Active Regulatory Region Sequencing (STARR-seq) with an enrichment step using chromatin immunoprecipitation in a massively parallel reporter assay. We applied this assay, termed ChIP-STARR-seq, to normal (primed) and naive human embryonic stem cells, building up a comprehensive catalogue of functional enhancers. This database record describes the STARR-RNA-seq component.
2017-07-05 | GSE99630 | GEO
Project description:The identification of transcriptional enhancers in the human genome is a prime goal in biology. Enhancers are typically predicted via chromatin marks, yet their function is primarily assessed with plasmid-based reporter assays. Here, we show that two previous observations relating to plasmid-transfection into human cells render such assays unreliable: (1) the function of the bacterial plasmid origin-of-replication (ORI) as a conflicting core-promoter and (2) the activation of a type I interferon (IFN-I) response. These problems cause false-positives and -negatives in luciferase assays and are prohibitive to genome-wide STARR-seq screens, which are dominated by INF-I-related false-positives, suffer from poor signal-to-noise, and miss a majority of enhancers. We overcome both problems by directly employing the ORI as a core-promoter and by inhibiting two kinases central to IFN-I induction. This corrects luciferase assays and enables genome-wide STARR-seq screens in human cells. Comprehensive enhancer activity profiles in HeLa-S3 cells uncover strong enhancers, IFN-I-induced enhancers, and enhancers endogenously silenced at the chromatin level. Our findings apply to all episomal enhancer activity assays in mammalian cells, and are key to the characterization of human enhancers.
2017-07-18 | GSE100432 | GEO
Project description:Genome-wide quantitative enhancer activity maps identified by STARR-seq
| PRJNA175267 | ENA
Project description:We performed a STARR-seq based, massively parallel reporter assay on reference genome and mutation-containing oligonucleotide sequences from regions associated with a large number of transcription factor ChIP-seq peaks or DHS-footprinted motifs.
2019-12-25 | GSE142566 | GEO