High-throughput method for decoding the protein sequence determinants of condensates

IF 32.1 1区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Nature Methods Pub Date : 2025-06-20 DOI:10.1038/s41592-025-02727-x

引用次数: 0

Abstract

CondenSeq is a high-throughput, pooled imaging approach that characterizes the propensities of large libraries of protein sequences to form nuclear condensates. Applying CondenSeq to ~14,000 synthetic protein sequences revealed the relative effects of sequence features across many sequence contexts, as well as multiple classes of condensates with distinct sequence drivers.

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解码冷凝物蛋白质序列决定因素的高通量方法。

CondenSeq是一种高通量、汇集成像方法，表征了大型蛋白质序列文库形成核凝聚物的倾向。将CondenSeq应用于约14000个合成蛋白序列，揭示了序列特征在许多序列背景下的相对影响，以及具有不同序列驱动的多类凝析油。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Methods 生物-生化研究方法

CiteScore

58.70

自引率

1.70%

发文量

326

审稿时长

1 months

期刊介绍： Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.