Nature GeneticsDevelopmental BiologyPeer-reviewed journal article
Integrated annotation and analysis of genomic features reveal new types of functional elements and large-scale epigenetic phenomena in the developing zebrafish
Damir Baranas̆ićiD, Matthias HörtenhuberiD, Piotr J. BalwierziD, Tobias ZehnderiD, Abdul Kadir MukarramiD, Chirag NepaliD, Csilla VárnaiiD, Yavor HadzhieviD, Ada Jiménez-GonzáleziD, Nan LiiD, Joseph W. WraggiD, Fabio M. D’OrazioiD, Đorđe RelićiD, Mikhail V. PachkoviD, Noèlia DíaziD, Benjamín Hernández-RodrígueziD, Zelin CheniD, Marcus H. Stoiber, Michael X. DongiD, Irene StevensiD, Samuel E. RossiD, Anne E. EagleiD, Ryan Martin, Oluwapelumi ObasajuiD, Sepand RastegariD, , Ferenc MülleriD
Abstract
Zebrafish, a popular model for embryonic development and for modelling human diseases, has so far lacked a systematic functional annotation programme akin to those in other animal models. To address this, we formed the international DANIO-CODE consortium and created the first central repository to store and process zebrafish developmental functional genomic data. Our Data Coordination Center (https://danio-code.zfin.org) combines a total of 1,802 sets of unpublished and reanalysed published genomics data, which we used to improve existing annotations and show its utility in experimental design. We identified over 140,000 cis-regulatory elements in development, including novel classes with distinct features dependent on their activity in time and space. We delineated the distinction between regulatory elements active during zygotic genome activation and those active during organogenesis, identifying new aspects of how they relate to each other. Finally, we matched regulatory elements and epigenomic landscapes between zebrafish and mouse and predict functional relationships between them beyond sequence similarity, extending the utility of zebrafish developmental genomics to mammals.
- organism: zebrafish
- assay: bulk RNA-seq
- research focus: database / resource
- approach: statistical model
- Citations
- 101
- FWCI
- 6.53
- Field percentile
- top 2%
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