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
Blanca Tejeda-González et al.J Cell Sci. 2026 Aug 26:jcs.264876. doi: 10.1242/jcs.264876. Online ahead of print.
Recent Publication
Andi Alijagic et al.Environ Int. 2026 Aug 18;215:110463. doi: 10.1016/j.envint.2026.110463. Online ahead of print.
Recent Publication
Kedar Batkulwar et al.Mol Cell Proteomics. 2026 Aug 20:101644. doi: 10.1016/j.mcpro.2026.101644. Online ahead of print.
Recent Publication
Yu Zhang et al.Research (Wash D C). 2026 Aug 19;9:1410. doi: 10.34133/research.1410. eCollection 2026.
Recent Publication
Iván Hidalgo-Cenalmor et al.J Cell Sci. 2026 Aug 14:jcs.265152. doi: 10.1242/jcs.265152. Online ahead of print.