SUPR
Multiomic profiling of human tissue by spatial transcriptomics and spatial ATAC
Dnr:

sens2022577

Type:

SNIC SENS

Principal Investigator:

Margherita Zamboni

Affiliation:

Karolinska Institutet

Start Date:

2022-12-20

End Date:

2025-01-01

Primary Classification:

30105: Neurosciences

Webpage:

Allocation

Abstract

Current methods for epigenomic profiling are limited in the ability to obtain genome wide information with spatial resolution. Here we introduce spatial ATAC, a method that integrates transposase-accessible chromatin profiling in tissue sections with barcoded solid-phase capture to perform spatially resolved epigenomics. We show that spatial ATAC enables the discovery of the regulatory programs underlying spatial gene expression during mouse organogenesis, lineage differentiation and in human pathology.