Spatial transcriptomics deconvolution methods generalize well to spatial chromatin accessibility data.

ABSTRACT:

Motivation

Spatially resolved chromatin accessibility profiling offers the potential to investigate gene regulatory processes within the spatial context of tissues. However, current methods typically work at spot resolution, aggregating measurements from multiple cells, thereby obscuring cell-type-specific spatial patterns of accessibility. Spot deconvolution methods have been developed and extensively benchmarked for spatial transcriptomics, yet no dedicated methods exist for spatial chromatin accessibility, and it is unclear if RNA-based approaches are applicable to that modality.

Results

Here, we demonstrate that these RNA-based approaches can be applied to spot-based chromatin accessibility data by a systematic evaluation of five top-performing spatial transcriptomics de

SUBMITTER: Ouologuem S 

PROVIDER: S-EPMC12261446 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature