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Updated: Apr 25, 2026
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TRAP-rc, Translating Ribosome Affinity Purification from Rare Cell Populations of Drosophila Embryos
Published on: September 10, 2015
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An optimized translating ribosome affinity purification protocol for low-abundance Drosophila tissues
Leonor Miller-Fleming1, Wing Hei Au1, Alexander J Whitworth1
1MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0XY, UK.
Iscience
|April 24, 2026
Summary
Researchers developed a sensitive method to study localized protein translation in neurons. This technique allows for the analysis of axonal mRNA in low-input samples, revealing conserved translation mechanisms in Drosophila.
Area of Science:
- Neuroscience
- Molecular Biology
- Genetics
Background:
- Localized protein translation is crucial for neuronal function, allowing protein synthesis in axons and dendrites.
- Existing methods like Translating Ribosome Affinity Purification (TRAP) are not optimized for low-input axonal samples.
Purpose of the Study:
- To develop a highly sensitive TRAP protocol for isolating ribosome-bound mRNAs from low-input axonal samples in Drosophila.
- To identify axonally translated transcripts in Drosophila motor neurons.
Main Methods:
- Developed a low-input Translating Ribosome Affinity Purification (TRAP) protocol.
- Utilized RNA sequencing (RNA-seq) to analyze recovered mRNAs from Drosophila motor neuron axons.
Main Results:
- Successfully recovered axonal mRNAs from low-input samples of Drosophila larval and adult motor neurons.
- Identified conserved axonally translated transcripts, including those for ribosomal and mitochondrial proteins.
- Demonstrated the conservation of axonal translation mechanisms across species in Drosophila.
Conclusions:
- The developed low-input TRAP method enables sensitive analysis of local translation in Drosophila.
- This approach facilitates the study of axonal translation across various genetic backgrounds, developmental stages, and disease models.
- The protocol is adaptable for other tissues and model systems requiring high sensitivity.
