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<p><i>Cis</i>-regulatory elements are promising targets for genome editing in crop improvement. However, our understanding of their activity is limited. Plant STARR-seq enables the quantitative, systematic, high-throughput measurement of regulatory activity. In combination with machine learning, this approach opens up new possibilities for the analysis, prediction, and design of regulatory DNA sequences.</p>

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Plant STARR-seq: von der DNA-Sequenz zur Funktion pflanzlicher Genregulation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月25日

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  • Julia Macholl,
  • Sebastian Triesch,
  • Tobias Jores

摘要

Cis-regulatory elements are promising targets for genome editing in crop improvement. However, our understanding of their activity is limited. Plant STARR-seq enables the quantitative, systematic, high-throughput measurement of regulatory activity. In combination with machine learning, this approach opens up new possibilities for the analysis, prediction, and design of regulatory DNA sequences.