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
- dna binding
- poor prognosis
- gene expression
- bone marrow
- genome wide
- cell cycle arrest
- electronic health record
- mesenchymal stem cells
- stem cells
- signaling pathway
- machine learning
- long non coding rna
- binding protein
- data analysis
- pi k akt