Authors
Damir Baranasic, Matthias Hörtenhuber, Piotr Balwierz, Tobias Zehnder, Abdul Kadir Mukarram, Chirag Nepal, Csilla Varnai, Yavor Hadzhiev, Ada Jimenez-Gonzalez, Nan Li, Joseph Wragg, Fabio D’Orazio, Noelia Díaz, Benjamín Hernández-Rodríguez, Zelin Chen, Marcus Stoiber, Michaël Dong, Irene Stevens, Samuel E Ross, Anne Eagle, Ryan Martin, Pelumi Obasaju, Sepand Rastegar, Alison C McGarvey, Wolfgang Kopp, Emily Chambers, Dennis Wang, Hyejeong R Kim, Rafael D Acemel, Silvia Naranjo, Maciej Lapinski, Vanessa Chong, Sinnakaruppan Mathavan, Bernard Peers, Tatjana Sauka-Spengler, Martin Vingron, Piero Carninci, Uwe Ohler, Scott Allen Lacadie, Shawn Burgess, Cecilia Winata, Freek van Eeden, Juan M Vaquerizas, José Luis Gómez-Skarmeta, Daria Onichtchouk, Ben James Brown, Ozren Bogdanovic, Monte Westerfield, Fiona C Wardle, Carsten O Daub, Boris Lenhard, Ferenc Müller
Publication date
2021/8/9
Journal
bioRxiv
Pages
2021.08. 09.454869
Publisher
Cold Spring Harbor Laboratory
Description
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 Our Data Coordination Center (https://danio-code.zfin.org) combines a total of 1,802 sets of unpublished and reanalysed published genomics data, which we used to improve existing annotations and show its utility in experimental design.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.
Total citations
202120222023141