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Updated: Jul 12, 2026

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
Published on: May 22, 2017
Cell-type deconvolution methods for spatial transcriptomics
Lucie C Gaspard-Boulinc1,2,3, Luca Gortana1,2,3, Thomas Walter1,2,3
1Institut Curie, PSL University, Paris, France.
Abstract:
Spatial transcriptomics is a powerful method for studying the spatial organization of cells, which is a critical feature in the development, function and evolution of multicellular life. However, sequencing-based spatial transcriptomics has not yet achieved cellular-level resolution, so advanced deconvolution methods are needed to infer cell-type contributions at each location in the data. Recent progress has led to diverse tools for cell-type deconvolution that are helping to describe tissue architectures in health and disease. In this Review, we describe the varied types of cell-type deconvolution methods for spatial transcriptomics, contrast their capabilities and summarize them in a web-based, interactive table to enable more efficient method selection.

