NIH R01 · 2025
Methods to build and annotate tissue atlases using spatial genomic data
Project Summary/Abstract Single-cell spatial technologies hold the promise of understanding spatially-resolved cell state and discovering how cells interact locally to create complex tissues and organisms. In contrast to bulk sequencing or disassoci- ated cells, with spatial genomic data we may catalog the diversity of cells and cellular environments in healthy and diseased tissues, characterize cell types and healthy variation in cell state and cellular collectives, and study the effects of local environment on cell state. However, spatial genomics technologies also pose important challenges to analytic methods, specifically, they have small fields-of-view, they are hard to normalize and…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.