Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq

Transcriptomes provide highly informative molecular phenotypes that, combined with gene perturbation, can connect genotype to phenotype. An ultimate goal is to perturb every gene and measure transcriptome changes, however, this is challenging, especially in whole animals. Here, we present 'Worm Perturb-Seq (WPS)', a method that provides high-resolution RNA-sequencing profiles for hundreds of replicate perturbations at a time in living animals. WPS introduces multiple experimental advances combining strengths of Caenhorhabditis elegans genetics and multiplexed RNA-sequencing with a novel analytical framework, EmpirDE. EmpirDE leverages the unique power of large transcriptomic datasets and improves statistical rigor by using gene-specific empirical null distributions to identify DEGs. We apply WPS to 103 nuclear hormone receptors (NHRs) and find a striking 'pairwise modularity' in which pairs of NHRs regulate shared target genes. We envision the advances of WPS to be useful not only for C. elegans, but broadly for other models, including human cells.

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Publication Details

Journal
Nature Communications
Published
2025-05-22
DOI
https://doi.org/10.1038/s41467-025-60154-0
Citations
6
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
4.84

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Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq

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Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq

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article en
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Abstract

Transcriptomes provide highly informative molecular phenotypes that, combined with gene perturbation, can connect genotype to phenotype. An ultimate goal is to perturb every gene and measure transcriptome changes, however, this is challenging, especially in whole animals. Here, we present 'Worm Perturb-Seq (WPS)', a method that provides high-resolution RNA-sequencing profiles for hundreds of replicate perturbations at a time in living animals. WPS introduces multiple experimental advances combining strengths of Caenhorhabditis elegans genetics and multiplexed RNA-sequencing with a novel analytical framework, EmpirDE. EmpirDE leverages the unique power of large transcriptomic datasets and improves statistical rigor by using gene-specific empirical null distributions to identify DEGs. We apply WPS to 103 nuclear hormone receptors (NHRs) and find a striking 'pairwise modularity' in which pairs of NHRs regulate shared target genes. We envision the advances of WPS to be useful not only for C. elegans, but broadly for other models, including human cells.

Nature CommunicationsVol. 16(1)
Beth Israel Deaconess Medical Center (US), Harvard University (US), University of California, Los Angeles (US), University of Massachusetts Chan Medical School (US), Cambridge Scientific (United States) (US), UConn Health (US)
National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 5%
RNA Research and Splicing
4.84
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