Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Functional characterization of enhancer activity during a long terminal repeat's evolution

ABSTRACT: Functional characterization of enhancer activity during a long terminal repeat's evolution

PROVIDER: PRJNA828175 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18820703.fastq.gz	Fastqsanger.gz
	SRR18820704.fastq.gz	Fastqsanger.gz
	SRR18820705.fastq.gz	Fastqsanger.gz
	SRR18820706.fastq.gz	Fastqsanger.gz
	SRR18820707.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 11

Similar Datasets

Functional characterization of enhancer activity during a long terminal repeat's evolution

Project description:Many transposable elements (TEs) contain transcription factor binding sites and are implicated as potential regulatory elements. However, TEs are rarely functionally tested for regulatory activity, which in turn limits our understanding of how TE regulatory activity has evolved. We systematically tested the human LTR18A subfamily for regulatory activity using massively parallel reporter assay (MPRA) and found AP-1 and C/EBP-related binding motifs as drivers of enhancer activity. Functional analysis of evolutionarily reconstructed ancestral sequences revealed that LTR18A elements have generally lost regulatory activity over time through sequence changes, with the largest effects occurring due to mutations in the AP-1 and C/EBP motifs. We observed that the two motifs are conserved at higher rates than expected based on neutral evolution. Finally, we identified LTR18A elements as potential enhancers in the human genome, primarily in epithelial cells. Together, our results provide a model for the origin, evolution, and co-option of TE-derived regulatory elements.

2022-08-12 | GSE201068 | GEO

Functional characterization of enhancer activity during a long terminal repeat's evolution.

Project description:Many transposable elements (TEs) contain transcription factor binding sites and are implicated as potential regulatory elements. However, TEs are rarely functionally tested for regulatory activity, which in turn limits our understanding of how TE regulatory activity has evolved. We systematically tested the human LTR18A subfamily for regulatory activity using massively parallel reporter assay (MPRA) and found AP-1- and CEBP-related binding motifs as drivers of enhancer activity. Functional analysis of evolutionarily reconstructed ancestral sequences revealed that LTR18A elements have generally lost regulatory activity over time through sequence changes, with the largest effects occurring owing to mutations in the AP-1 and CEBP motifs. We observed that the two motifs are conserved at higher rates than expected based on neutral evolution. Finally, we identified LTR18A elements as potential enhancers in the human genome, primarily in epithelial cells. Together, our results provide a model for the origin, evolution, and co-option of TE-derived regulatory elements.

| S-EPMC9712623 | biostudies-literature

Quantitative genome-wide enhancer activity maps for five Drosophila species show functional enhancer conservation and turnover during cis-regulatory evolution

Project description:Phenotypic differences between closely related species are thought to arise primarily from changes in gene expression due to mutations in cis-regulatory sequences (enhancers). However, it has remained unclear, how frequently mutations alter enhancer activity or create functional enhancers de novo. Here, we use STARR-seq, a recently developed quantitative enhancer assay, to determine genome-wide enhancer activity profiles for five Drosophila species in the constant trans-regulatory environment of D. melanogaster S2 cells. We find that the function of a large fraction of D. melanogaster enhancers is conserved in their orthologous sequences due to selection and stabilizing turnover of transcription factor motifs. Moreover, hundreds of enhancers have been gained since the D. melanogaster M-bM-^@M-^S D. yakuba split about 11 million years ago without apparent adaptive selection and can contribute to gene expression changes in vivo. Our finding that enhancer activity is often deeply conserved and frequently gained provides important functional insights into regulatory evolution. STARR-seq was performed in S2 cells with paired-end sequencing in two replicates and respective inputs using genomic DNA from different Drosophila species. RNA-seq was performed in a non-stranded manner without replicates for two Drosophila species.

2014-04-28 | E-GEOD-48251 | biostudies-arrayexpress

Functional mapping of androgen receptor enhancer activity

Project description:Functional mapping of androgen receptor enhancer activity

| PRJNA646902 | ENA

Quantitative genome-wide enhancer activity maps for five Drosophila species show functional enhancer conservation and turnover during cis-regulatory evolution

Project description:Phenotypic differences between closely related species are thought to arise primarily from changes in gene expression due to mutations in cis-regulatory sequences (enhancers). However, it has remained unclear how frequently mutations alter enhancer activity or create functional enhancers de novo. Here we use STARR-seq, a recently developed quantitative enhancer assay, to determine genome-wide enhancer activity profiles for five Drosophila species in the constant trans-regulatory environment of Drosophila melanogaster S2 cells. We find that the functions of a large fraction of D. melanogaster enhancers are conserved for their orthologous sequences owing to selection and stabilizing turnover of transcription factor motifs. Moreover, hundreds of enhancers have been gained since the D. melanogaster-Drosophila yakuba split about 11 million years ago without apparent adaptive selection and can contribute to changes in gene expression in vivo. Our finding that enhancer activity is often deeply conserved and frequently gained provides functional insights into regulatory evolution.

2014-04-28 | GSE48251 | GEO

Functional mapping of androgen receptor enhancer activity [II]

Project description:Functional mapping of androgen receptor enhancer activity [II]

| PRJNA646915 | ENA

Functional mapping of androgen receptor enhancer activity [I]

Project description:Functional mapping of androgen receptor enhancer activity [I]

| PRJNA634533 | ENA

Functional mapping of androgen receptor enhancer activity [II]

Project description:In this study we functionally quantified the enhancer activity of all clinical ARBS. We demonstrated that only 7% of ARBS demonstrate androgen-dependent enhancer activation, while 11% have enhancer activity independent of AR binding. Almost all of these AR enhancers have not been previously studied. Surprisingly the vast majority of ARBS (81%) do not have significant enhancer activity. This in vitro annotation strongly correlated to clinical PCa samples. Integrating long-range chromatin interactome and transcriptomic data, we found androgen inducible enhancers were significantly more enriched to serve as anchors for gene looping and acted as a ?hub? to activate AR-regulated genes. To characterize the mechanism of AR enhancers we developed a deep neural network that can successfully predict active enhancers and identify key features for active enhancers. Finally, combining these results with whole genome sequencing of primary and metastatic PCa, we identified and characterized non-coding somatic SNVs that significantly impacted AR enhancer activity of a critical tumour suppressor.

2021-03-28 | GSE154632 | GEO

Functional mapping of androgen receptor enhancer activity [I]

Project description:In this study we functionally quantified the enhancer activity of all clinical ARBS. We demonstrated that only 7% of ARBS demonstrate androgen-dependent enhancer activation, while 11% have enhancer activity independent of AR binding. Almost all of these AR enhancers have not been previously studied. Surprisingly the vast majority of ARBS (81%) do not have significant enhancer activity. This in vitro annotation strongly correlated to clinical PCa samples. Integrating long-range chromatin interactome and transcriptomic data, we found androgen inducible enhancers were significantly more enriched to serve as anchors for gene looping and acted as a ‘hub’ to activate AR-regulated genes. To characterize the mechanism of AR enhancers we developed a deep neural network that can successfully predict active enhancers and identify key features for active enhancers. Finally, combining these results with whole genome sequencing of primary and metastatic PCa, we identified and characterized non-coding somatic SNVs that significantly impacted AR enhancer activity of a critical tumour suppressor.

2021-03-28 | GSE151064 | GEO

Functional characterization of enhancer evolution in the primate lineage

Project description:Functional characterization of enhancer evolution in the primate lineage

| PRJNA454716 | ENA