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Series GSE68983 Query DataSets for GSE68983
Status Public on Sep 01, 2016
Title Genome-wide analysis of enhancers in Drosophila DV patterning
Organism Drosophila melanogaster
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary The submitted data have been utilized in the following two papers:

"Drosophila poised enhancers are generated during tissue patterning with the help of repression" (Koenecke et al 2016, Genome Research):
Histone modifications are frequently used as markers for enhancer states, but how to interpret enhancer states in the context of embryonic development is not clear. The poised enhancer signature, involving H3K4me1 and low levels of H3K27ac, has been reported to mark inactive enhancers that are poised for future activation. However, future activation is not always observed and alternative reasons for the widespread occurrence of this enhancer signature have not been investigated. By analyzing enhancers during dorsal-ventral (DV) axis formation in the Drosophila embryo, we find that the poised enhancer signature is specifically generated during patterning in the tissue where the enhancers are not induced, including at enhancers that are known to be repressed by a transcriptional repressor. These results suggest that, rather than serving simply as an intermediate step before future activation, the poised enhancer state may mark enhancers for spatial activation during tissue patterning. We discuss the possibility that the poised enhancer state is more generally the result of repression by transcriptional repressors.


"Genome-wide identification of Drosophila dorso-ventral enhancers by differential histone acetylation analysis" (Koenecke and Johnston et al 2016, Genome Biol):
Background: Drosophila dorso-ventral (DV) patterning is one of the best-understood regulatory networks to date, and illustrates the fundamental role of enhancers in controlling patterning, cell fate specification and morphogenesis during development. Histone acetylation such as H3K27ac is an excellent marker for active enhancers, but it is challenging to obtain precise locations for enhancers as the highest levels of this modification flank the enhancer regions. How to best identify tissue-specific enhancers in a developmental system de novo with a minimal set of data is still unclear.
Results: Using DV patterning as a test system, we develop a simple and effective method to identify tissue-specific enhancers de novo. We sample a broad set of candidate enhancer regions using data on CBP co-factor binding or ATAC-seq chromatin accessibility, and then identify those regions with significant differences in histone acetylation between tissues. This method identifies hundreds of novel DV enhancers and outperforms ChIP-seq data of relevant transcription factors when benchmarked with mRNA expression data and transgenic reporter assays. These DV enhancers allow the de novo discovery of the relevant transcription factor motifs involved in DV patterning and contain additional motifs that are evolutionarily conserved and for which the corresponding transcription factors are expressed in a DV-biased fashion. Finally, we identify novel target genes of the regulatory network, implicating morphogenesis genes as early targets of DV patterning.
Conclusions: Taken together, our approach has expanded our knowledge of the DV patterning network even further and is a general method to identify enhancers in any developmental system, including mammalian development.
 
Overall design ChIP-seq for histone modifications and transcription factors was peformed in Drosophila wild-type embryos as well as embryos of DV mutants Tl10b, Tlrm9/rm10 and gd7. RNA-seq was performed with the DV mutants and differential gene expression was determined among them. ATAC-seq was performed with wild-type embryos.
Web link https://github.com/zeitlingerlab/koenecke_enhancer_papers_2016
 
Contributor(s) Koenecke N, Johnston J, Meier S, Gärtner B, He Q, Natarajan M, Zeitlinger J
Citation(s) 27678375, 27979994
Submission date May 18, 2015
Last update date May 15, 2019
Contact name Julia Zeitlinger
E-mail(s) [email protected]
Organization name Stowers Institute for Medical Research
Lab Zeitlinger Lab
Street address 1000 E 50th St
City Kansas City
State/province MO
ZIP/Postal code 64110
Country USA
 
Platforms (4)
GPL11203 Illumina Genome Analyzer IIx (Drosophila melanogaster)
GPL13304 Illumina HiSeq 2000 (Drosophila melanogaster)
GPL17275 Illumina HiSeq 2500 (Drosophila melanogaster)
Samples (47)
GSM1689671 gd7_h3k27ac_1
GSM1689672 gd7_h3k27ac_2
GSM1689673 gd7_h3k27me3_1
Relations
BioProject PRJNA284259
SRA SRP058444

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
GSE68983_RAW.tar 8.3 Gb (http)(custom) TAR (of BW)
GSE68983_cuffdiff_comparisons.tar.gz 25.8 Mb (ftp)(http) TAR
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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