Associating transcription factors to single-cell trajectories with DREAMIT.
Nathan D MauldingLucas SeningeJoshua M StuartPublished in: Genome biology (2024)
Inferring gene regulatory networks from single-cell RNA-sequencing trajectories has been an active area of research yet methods are still needed to identify regulators governing cell transitions. We developed DREAMIT (Dynamic Regulation of Expression Across Modules in Inferred Trajectories) to annotate transcription-factor activity along single-cell trajectory branches, using ensembles of relations to target genes. Using a benchmark representing several different tissues, as well as external validation with ATAC-Seq and Perturb-Seq data on hematopoietic cells, the method was found to have higher tissue-specific sensitivity and specificity over competing approaches.
Keyphrases
- single cell
- transcription factor
- rna seq
- depressive symptoms
- high throughput
- genome wide identification
- induced apoptosis
- poor prognosis
- dna binding
- cell cycle arrest
- gene expression
- genome wide
- bone marrow
- stem cells
- big data
- oxidative stress
- cell death
- long non coding rna
- machine learning
- bioinformatics analysis
- pi k akt