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

被引:43
|
作者
Koenecke, Nina [1 ]
Johnston, Jeff [1 ]
Gaertner, Bjoern [1 ,2 ]
Natarajan, Malini [1 ]
Zeitlinger, Julia [1 ,3 ]
机构
[1] Stowers Inst Med Res, Kansas City, MO 64110 USA
[2] Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA
[3] Univ Kansas, Med Ctr, Dept Pathol & Lab Med, Kansas City, KS 66160 USA
来源
GENOME BIOLOGY | 2016年 / 17卷
关键词
Enhancer identification; CBP; ATAC-seq; H3K27ac; TRANSCRIPTION FACTOR-BINDING; GENE-EXPRESSION; GLOBAL ANALYSIS; DORSAL; MESODERM; ELEMENTS; MORPHOGEN; GRADIENT; ESTABLISHMENT; CHROMATIN;
D O I
10.1186/s13059-016-1057-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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 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. 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.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework
    Wang, Yansong
    Hou, Zilong
    Yang, Yuning
    Wong, Ka-chun
    Li, Xiangtao
    PLOS COMPUTATIONAL BIOLOGY, 2022, 18 (12)
  • [42] Genome-wide Kdm4 histone demethylase transcriptional regulation in Drosophila
    Amy Tsurumi
    Shuang Xue
    Lin Zhang
    Jinghong Li
    Willis X. Li
    Molecular Genetics and Genomics, 2019, 294 : 1107 - 1121
  • [43] Genome-wide analysis of Sox genes in Drosophila melanogaster
    Crémazy, F
    Berta, P
    Girard, F
    MECHANISMS OF DEVELOPMENT, 2001, 109 (02) : 371 - 375
  • [44] Genome-wide analysis of promoter architecture in Drosophila melanogaster
    Hoskins, Roger A.
    Landolin, Jane M.
    Brown, James B.
    Sandler, Jeremy E.
    Takahashi, Hazuki
    Lassmann, Timo
    Yu, Charles
    Booth, Benjamin W.
    Zhang, Dayu
    Wan, Kenneth H.
    Yang, Li
    Boley, Nathan
    Andrews, Justen
    Kaufman, Thomas C.
    Graveley, Brenton R.
    Bickel, Peter J.
    Carninci, Piero
    Carlson, Joseph W.
    Celniker, Susan E.
    GENOME RESEARCH, 2011, 21 (02) : 182 - 192
  • [45] A genome-wide resource for the analysis of protein localisation in Drosophila
    Sarov, Mihail
    Barz, Christiane
    Jambor, Helena
    Hein, Marco Y.
    Schmied, Christopher
    Suchold, Dana
    Stender, Bettina
    Janosch, Stephan
    Vikas, Vinay K. J.
    Krisnan, R. T.
    Krishnamoorthy, Aishwarya
    Ferreira, Irene R. S.
    Ejsmont, Radoslaw K.
    Finkl, Katja
    Hasse, Susanne
    Kaempfer, Philipp
    Plewka, Nicole
    Vinis, Elisabeth
    Schloissnig, Siegfried
    Knust, Elisabeth
    Hartenstein, Volker
    Mann, Matthias
    Ramaswami, Mani
    VijayRaghavan, K.
    Tomancak, Pavel
    Schnorrer, Frank
    ELIFE, 2016, 5
  • [46] Genome-wide analysis of retrogene polymorphisms in Drosophila melanogaster
    Schrider, Daniel R.
    Stevens, Kristian
    Cardeno, Charis M.
    Langley, Charles H.
    Hahn, Matthew W.
    GENOME RESEARCH, 2011, 21 (12) : 2087 - 2095
  • [47] Genome-wide analysis of Polycomb targets in Drosophila melanogaster
    Yuri B Schwartz
    Tatyana G Kahn
    David A Nix
    Xiao-Yong Li
    Richard Bourgon
    Mark Biggin
    Vincenzo Pirrotta
    Nature Genetics, 2006, 38 : 700 - 705
  • [48] Genome-wide analysis of Polycomb targets in Drosophila melanogaster
    Schwartz, Yuri B.
    Kahn, Tatyana G.
    Nix, David A.
    Li, Xiao-Yong
    Bourgon, Richard
    Biggin, Mark
    Pirrotta, Vincenzo
    NATURE GENETICS, 2006, 38 (06) : 700 - 705
  • [49] Genome-Wide Analysis of Functional and Evolutionary Features of Tele-Enhancers
    Huang, Di
    Ovcharenko, Ivan
    G3-GENES GENOMES GENETICS, 2014, 4 (04): : 579 - 593
  • [50] Spatiotemporal dynamics and genome-wide association genome-wide association analysis of desiccation tolerance in Drosophila melanogaster
    Rajpurohit, Subhash
    Gefen, Eran
    Bergland, Alan O.
    Petrov, Dmitri A.
    Gibbs, Allen G.
    Schmidt, Paul S.
    MOLECULAR ECOLOGY, 2018, 27 (17) : 3525 - 3540