Evidence map›Paper›PMID 27678375›Full record

ArticleGenome biology2016

Genome-wide identification of Drosophila dorso-ventral enhancers by differential histone acetylation analysis.

Nina Koenecke, Jeff Johnston, Bjoern Gaertner, Malini Natarajan, Julia Zeitlinger

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Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

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38citing papers in PubMed
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3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  5. HIRA and dPCIF1 coordinately establish totipotent chromatin and control orderly ZGA inProceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nina KoeneckeStowers Institute for Medical Research, Kansas City, MO, 64110, USA.
Jeff JohnstonStowers Institute for Medical Research, Kansas City, MO, 64110, USA.
Bjoern GaertnerStowers Institute for Medical Research, Kansas City, MO, 64110, USA.
Malini NatarajanStowers Institute for Medical Research, Kansas City, MO, 64110, USA.
Julia ZeitlingerStowers Institute for Medical Research, Kansas City, MO, 64110, USA. jbz@stowers.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrosophila 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.

resultsUsing 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 CREB-binding protein 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.

conclusionsTaken 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.

Indexed as

ATAC-seqCBPEnhancer identificationH3K27ac

Identifiers

PMID27678375
PMCPMC5037609

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.