Zhiyuan Xie, Ilya Sokolov, Maria Osmala, Xue Yue, Grace Bower, J. Patrick Pett, Yinan Chen, Kai Wang, Ayse Derya Cavga, Alexander Popov, Sarah A. Teichmann, Ekaterina Morgunova, Evgeny Z. Kvon, Yimeng Yin, Jussi Taipale
{"title":"dna引导的转录因子相互作用扩展了人类基因调控代码","authors":"Zhiyuan Xie, Ilya Sokolov, Maria Osmala, Xue Yue, Grace Bower, J. Patrick Pett, Yinan Chen, Kai Wang, Ayse Derya Cavga, Alexander Popov, Sarah A. Teichmann, Ekaterina Morgunova, Evgeny Z. Kvon, Yimeng Yin, Jussi Taipale","doi":"10.1038/s41586-025-08844-z","DOIUrl":null,"url":null,"abstract":"In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2. The human gene regulatory code is much more complex than the genetic code, in particular because there are more than 1,600 TFs that commonly interact with each other. TF–TF interactions are required for specifying cell fate and executing cell-type-specific transcriptional programs. Despite this, the landscape of interactions between DNA-bound TFs is poorly defined. Here we map the biochemical interactions between DNA-bound TFs using CAP-SELEX, a method that can simultaneously identify individual TF binding preferences, TF–TF interactions and the DNA sequences that are bound by the interacting complexes. A screen of more than 58,000 TF–TF pairs identified 2,198 interacting TF pairs, 1,329 of which preferentially bound to their motifs arranged in a distinct spacing and/or orientation. We also discovered 1,131 TF–TF composite motifs that were markedly different from the motifs of the individual TFs. In total, we estimate that the screen identified between 18% and 47% of all human TF–TF motifs. The novel composite motifs we found were enriched in cell-type-specific elements, active in vivo and more likely to be formed between developmentally co-expressed TFs. Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes. A large-scale analysis of DNA-bound transcription factors (TFs) shows how the presence of DNA markedly affects the landscape of TF interactions, and identifies composite motifs that are recognized by complexes of TFs rather than by individual ones.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"641 8065","pages":"1329-1338"},"PeriodicalIF":48.5000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41586-025-08844-z.pdf","citationCount":"0","resultStr":"{\"title\":\"DNA-guided transcription factor interactions extend human gene regulatory code\",\"authors\":\"Zhiyuan Xie, Ilya Sokolov, Maria Osmala, Xue Yue, Grace Bower, J. Patrick Pett, Yinan Chen, Kai Wang, Ayse Derya Cavga, Alexander Popov, Sarah A. Teichmann, Ekaterina Morgunova, Evgeny Z. Kvon, Yimeng Yin, Jussi Taipale\",\"doi\":\"10.1038/s41586-025-08844-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2. The human gene regulatory code is much more complex than the genetic code, in particular because there are more than 1,600 TFs that commonly interact with each other. TF–TF interactions are required for specifying cell fate and executing cell-type-specific transcriptional programs. Despite this, the landscape of interactions between DNA-bound TFs is poorly defined. Here we map the biochemical interactions between DNA-bound TFs using CAP-SELEX, a method that can simultaneously identify individual TF binding preferences, TF–TF interactions and the DNA sequences that are bound by the interacting complexes. A screen of more than 58,000 TF–TF pairs identified 2,198 interacting TF pairs, 1,329 of which preferentially bound to their motifs arranged in a distinct spacing and/or orientation. We also discovered 1,131 TF–TF composite motifs that were markedly different from the motifs of the individual TFs. In total, we estimate that the screen identified between 18% and 47% of all human TF–TF motifs. The novel composite motifs we found were enriched in cell-type-specific elements, active in vivo and more likely to be formed between developmentally co-expressed TFs. Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes. A large-scale analysis of DNA-bound transcription factors (TFs) shows how the presence of DNA markedly affects the landscape of TF interactions, and identifies composite motifs that are recognized by complexes of TFs rather than by individual ones.\",\"PeriodicalId\":18787,\"journal\":{\"name\":\"Nature\",\"volume\":\"641 8065\",\"pages\":\"1329-1338\"},\"PeriodicalIF\":48.5000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s41586-025-08844-z.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://www.nature.com/articles/s41586-025-08844-z\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature","FirstCategoryId":"103","ListUrlMain":"https://www.nature.com/articles/s41586-025-08844-z","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
DNA-guided transcription factor interactions extend human gene regulatory code
In the same way that the mRNA-binding specificities of transfer RNAs define the genetic code, the DNA-binding specificities of transcription factors (TFs) form the molecular basis of the gene regulatory code1,2. The human gene regulatory code is much more complex than the genetic code, in particular because there are more than 1,600 TFs that commonly interact with each other. TF–TF interactions are required for specifying cell fate and executing cell-type-specific transcriptional programs. Despite this, the landscape of interactions between DNA-bound TFs is poorly defined. Here we map the biochemical interactions between DNA-bound TFs using CAP-SELEX, a method that can simultaneously identify individual TF binding preferences, TF–TF interactions and the DNA sequences that are bound by the interacting complexes. A screen of more than 58,000 TF–TF pairs identified 2,198 interacting TF pairs, 1,329 of which preferentially bound to their motifs arranged in a distinct spacing and/or orientation. We also discovered 1,131 TF–TF composite motifs that were markedly different from the motifs of the individual TFs. In total, we estimate that the screen identified between 18% and 47% of all human TF–TF motifs. The novel composite motifs we found were enriched in cell-type-specific elements, active in vivo and more likely to be formed between developmentally co-expressed TFs. Furthermore, TFs that define embryonic axes commonly interacted with different TFs and bound to distinct motifs, explaining how TFs with a similar specificity can define distinct cell types along developmental axes. A large-scale analysis of DNA-bound transcription factors (TFs) shows how the presence of DNA markedly affects the landscape of TF interactions, and identifies composite motifs that are recognized by complexes of TFs rather than by individual ones.
期刊介绍:
Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.