1. Trap-TRAP, a versatile tool for tissue-specific translatomics in zebrafish
- Author
-
Jorge Corbacho, Estefanía Sanabria-Reinoso, Lorena Buono, Ana Fernández-Miñan, Juan R. Martínez-Morales, Fundación Ramón Areces, Junta de Andalucía, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), and Agencia Estatal de Investigación (España)
- Subjects
QH301-705.5 ,Enhancer-trap ,Cell Biology ,Biology (General) ,Gal4/UAS ,Zebrafish ,Translatome ,Developmental Biology ,TRAP - Abstract
Developmental and physiological processes depend on the transcriptional and translational activity of heterogeneous cell populations. A main challenge in gene expression studies is dealing with this intrinsic complexity while keeping sequencing efficiency. Translating ribosome affinity purification (TRAP) methods have allowed cell-specific recovery of polyribosome-associated RNAs by genetic tagging of ribosomes in selected cell populations. Here we combined the TRAP approach with adapted enhancer trap methods (trap-TRAP) to systematically generate zebrafish transgenic lines suitable for tissue-specific translatome interrogation. Through the random integration of a GFP-tagged version of the large subunit ribosomal protein L10a (EGFP-Rpl10a), we have generated stable lines driving expression in a variety of tissues, including the retina, skeletal muscle, lateral line primordia, rhombomeres, or jaws. To increase the range of applications, a UAS:TRAP transgenic line compatible with available Gal4 lines was also generated and tested. The resulting collection of lines and applications constitutes a resource for the zebrafish community in developmental genetics, organ physiology and disease modelling., This work is supported by grants awarded to JM-M from the Fundacio´n Ramón Areces (program-2016); PY20_00006 from Junta de Andalucía; as well as Spanish Ministry of Science, Innovation and Universities (MICINN, AEI/FEDER) BFU2017-91324-EXP, BFU2017-86339P, RED2018-102553-T, PID2020-112566GB-I00, and MDM-2016-0687.
- Published
- 2022