The abstract is read at the publisher; the summary is JClub's.
ENTRAP-seq in plants identifies hundreds of putative transcriptional regulatory domains from 1,495 plant viruses, revealing regulatory activity encoded within protein variants.
- Why it matters: Protein-level encoding of transcriptional regulation in planta is hard to map because multiplexed, large-scale assays for protein libraries are limited.
- What they did: The study uses ENTRAP-seq to introduce protein-coding libraries into plant cells and measure nuclear regulatory activity via a nuclear magnetic sorting-based reporter, then applies machine learning to screen 1,495 plant viruses.
- The result: ENTRAP-seq plus machine-guided design engineers a plant transcription factor’s activity in a semirational fashion, supporting scalable in planta assays for natural and synthetic coding diversity.
The findingWhy it mattersWhat they didThe result
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