NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE40739 Query DataSets for GSE40739
Status Public on Jan 17, 2013
Title Genome-wide quantitative enhancer activity maps identified by STARR-seq
Organisms Drosophila melanogaster; Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Other
Genome binding/occupancy profiling by high throughput sequencing
Summary 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.
 
Overall design 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.
Web link http://starklab.org
 
Contributor(s) Arnold CD, Gerlach D, Stelzer C, Boryn LM, Rath M, Stark A
Citation(s) 23328393, 25517091
Submission date Sep 10, 2012
Last update date May 15, 2019
Contact name Daniel Gerlach
E-mail(s) daniel.gerlach@boehringer-ingelheim.com
Organization name Boehringer Ingelheim RCV GmbH & Co KG
Department Global Computational Biology and Digital Sciences
Street address Dr.-Boehringer-Gasse 5-11
City Vienna
ZIP/Postal code 1121
Country Austria
 
Platforms (3)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
GPL11203 Illumina Genome Analyzer IIx (Drosophila melanogaster)
GPL13304 Illumina HiSeq 2000 (Drosophila melanogaster)
Samples (18)
GSM1000400 S2 STARR-seq biological replicate 1
GSM1000401 S2 STARR-seq biological replicate 2
GSM1000402 OSC STARR-seq biological replicate 1
Relations
BioProject PRJNA175267
SRA SRP015758

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE40739_RAW.tar 1.7 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap