Julia Macholl, Sebastian Triesch, Tobias Jores
2026.2.1BioSpektrum
tlooto Summary
Plant STARR-seq enables the quantitative, systematic, high-throughput measurement of regulatory activity and in combination with machine learning, this approach opens up new possibilities for the analysis, prediction, and design of regulatory DNA sequences.
Abstract
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.
Citation format
MACHOLL, Julia; TRIESCH, Sebastian; JORES, Tobias. Plant STARR-seq: Von der DNA-Sequenz zur funktion pflanzlicher genregulation. BioSpektrum, 2026, 32: 57–60.