Observational analysis identifies trajectory progress in RNA-seq data using scRNA-seq references, suggesting enhanced annotation and deconvolution capabilities.
Motivation: scRNA-seq experiments can capture cell process trajectories. Bulk RNA-seq is more practical, however does not have the granularity to elucidate cell-type specific trajectories. Deconvolution methods can estimate cell-types in RNA-seq data, but there is a need for methods characterising their pseudotime. Results: We show that our method, BLASE, can identify the progress of an RNA-seq sample through a trajectory in a scRNA-seq reference. Conclusion: BLASE can be used to a) annotate scRNA-seq data from existing RNA-seq, b) identify progress of RNA-seq data through a process based on scRNA-seq data, and c) be used to correct developmental differences in RNA-seq differential expression analysis.
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McCluskey et al. (2025) studied this question.
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