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Trap-TRAP, a Versatile Tool for Tissue-Specific Translatomics in Zebrafish.


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.

SUBMITTER: Corbacho J 

PROVIDER: S-EPMC8841413 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Trap-TRAP, a Versatile Tool for Tissue-Specific Translatomics in Zebrafish.

Corbacho Jorge J   Sanabria-Reinoso Estefanía E   Buono Lorena L   Fernández-Miñan Ana A   Martínez-Morales Juan R JR  

Frontiers in cell and developmental biology 20220131


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 enhance  ...[more]

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