RT Journal Article
SR Electronic
T1 Decomposing spatial heterogeneity of cell trajectories with Paella
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.09.05.506682
DO 10.1101/2022.09.05.506682
A1 Wenpin Hou
A1 Zhicheng Ji
YR 2022
UL http://biorxiv.org/content/early/2022/09/06/2022.09.05.506682.abstract
AB Spatial transcriptomics provides a unique opportunity to study continuous biological processes in a spatial context. We developed Paella, a computational method to decompose a cell trajectory into multiple spatial sub-trajectories and identify genes with differential temporal patterns across spatial sub-trajectories. Applied to spatial transcriptomics datasets of cancer, Paella identified spatially varying genes associated with tumor progression, providing insights into the spatial heterogeneity of cancer development.Competing Interest StatementThe authors have declared no competing interest.