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线虫扰动测序:大规模平行全动物RNA干扰和RNA测序

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

作者信息

Zhang Hefei, Li Xuhang, Song Dongyuan, Yukselen Onur, Nanda Shivani, Kucukural Alper, Li Jingyi Jessica, Garber Manuel, Walhout Albertha J M

机构信息

Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Bioinformatics Interdepartmental Ph.D. Program, University of California, Los Angeles, CA, USA.

出版信息

Nat Commun. 2025 May 23;16(1):4785. doi: 10.1038/s41467-025-60154-0.

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.

摘要

转录组提供了高度信息丰富的分子表型,与基因扰动相结合,可以将基因型与表型联系起来。一个最终目标是扰动每一个基因并测量转录组的变化,然而,这具有挑战性,尤其是在完整动物中。在此,我们展示了“线虫扰动测序(WPS)”,这是一种能够在活体动物中一次为数百次重复扰动提供高分辨率RNA测序图谱的方法。WPS引入了多项实验进展,将秀丽隐杆线虫遗传学和多重RNA测序的优势与一个新的分析框架EmpirDE相结合。EmpirDE利用大型转录组数据集的独特能力,并通过使用基因特异性经验零分布来识别差异表达基因,提高了统计严谨性。我们将WPS应用于103种核激素受体(NHR),并发现了一种显著的“成对模块化”现象,即成对的NHR调节共享的靶基因。我们设想WPS的进展不仅对秀丽隐杆线虫有用,而且对包括人类细胞在内的其他模型也广泛适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2251/12098853/9b380cd5f753/41467_2025_60154_Fig1_HTML.jpg

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