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从植物和酵母中的非转录因子蛋白中系统鉴定转录激活结构域。

Systematic identification of transcriptional activation domains from non-transcription factor proteins in plants and yeast.

作者信息

Hummel Niklas F C, Markel Kasey, Stefani Jordan, Staller Max V, Shih Patrick M

机构信息

Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA; Feedstocks Division, Joint BioEnergy Institute, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Biology, Technische Universität Darmstadt, 64287 Darmstadt, Germany.

Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA; Feedstocks Division, Joint BioEnergy Institute, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

出版信息

Cell Syst. 2024 Jul 17;15(7):662-672.e4. doi: 10.1016/j.cels.2024.05.007. Epub 2024 Jun 11.

DOI:10.1016/j.cels.2024.05.007
PMID:38866009
Abstract

Transcription factors can promote gene expression through activation domains. Whole-genome screens have systematically mapped activation domains in transcription factors but not in non-transcription factor proteins (e.g., chromatin regulators and coactivators). To fill this knowledge gap, we employed the activation domain predictor PADDLE to analyze the proteomes of Arabidopsis thaliana and Saccharomyces cerevisiae. We screened 18,000 predicted activation domains from >800 non-transcription factor genes in both species, confirming that 89% of candidate proteins contain active fragments. Our work enables the annotation of hundreds of nuclear proteins as putative coactivators, many of which have never been ascribed any function in plants. Analysis of peptide sequence compositions reveals how the distribution of key amino acids dictates activity. Finally, we validated short, "universal" activation domains with comparable performance to state-of-the-art activation domains used for genome engineering. Our approach enables the genome-wide discovery and annotation of activation domains that can function across diverse eukaryotes.

摘要

转录因子可通过激活结构域促进基因表达。全基因组筛选已系统地绘制了转录因子中的激活结构域图谱,但尚未绘制非转录因子蛋白(如染色质调节因子和共激活因子)中的激活结构域图谱。为了填补这一知识空白,我们使用激活结构域预测工具PADDLE分析了拟南芥和酿酒酵母的蛋白质组。我们从这两个物种的800多个非转录因子基因中筛选了18000个预测的激活结构域,证实89%的候选蛋白含有活性片段。我们的工作能够将数百种核蛋白注释为假定的共激活因子,其中许多在植物中从未被赋予任何功能。对肽序列组成的分析揭示了关键氨基酸的分布如何决定活性。最后,我们验证了短的“通用”激活结构域,其性能与用于基因组工程的最先进激活结构域相当。我们的方法能够在全基因组范围内发现和注释可在多种真核生物中发挥作用的激活结构域。

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