REACTOR: REgulon Activity analysis and Comparison Tool for single-cell transcriptOmics Research 

Markus Lindén et al.

Bioinformatics. 2026 May 4:btag203. doi: 10.1093/bioinformatics/btag203. Online ahead of print.

Published on May 4, 2026

 

ABSTRACT

SUMMARY: We introduce REACTOR, a computational tool designed to detect differential activity of transcriptional regulators and their target genes (regulons) in single-cell RNA-sequencing data. It expands the currently available framework for regulon analysis by introducing a robust statistical test to detect differential regulon activity between conditions, such as disease versus control, with multiple replicates. By contrasting different conditions, REACTOR enables identification of key condition- and cell type-specific regulons. To demonstrate the use of REACTOR, we illustrate its performance in a publicly available COVID-19 dataset.

AVAILABILITY: REACTOR R-package together with an implementation vignette are available at https://www.github.com/elolab/REACTOR.

PMID:42082398 | DOI:10.1093/bioinformatics/btag203

 Read More

Back to Publications
Recent Publication
Anni K Saralahti et al.FEBS Open Bio. 2026 Jul 31:10.1002/2211-5463.70320. doi: 10.1002/2211-5463.70320. Online ahead of print.
Recent Publication
Tuuli E I Salo et al.Clin Nutr. 2026 Jul 22;64:106739. doi: 10.1016/j.clnu.2026.106739. Online ahead of print.
Recent Publication
Rebecca Elyanow et al.Res Sq [Preprint]. 2026 Jul 14:rs.3.rs-10074672. doi: 10.21203/rs.3.rs-10074672/v1.
Recent Publication
Shrinidhi Madhusudan et al.J Mol Endocrinol. 2026 Jul 1;77(1):e260040. doi: 10.1530/JME-26-0040.
Recent Publication
Markus Mattila et al.Am J Clin Nutr. 2026 Jul 10;124(3):101431. doi: 10.1016/j.ajcnut.2026.101431. Online ahead of print.