Inferring spatially transient gene expression pattern from spatial transcriptomic studies

Jan Kueckelhaus(University of Freiburg), Jasmin von Ehr(University of Freiburg), Vidhya M. Ravi(University of Freiburg), Paulina Will(University of Freiburg), Kevin Joseph(University of Freiburg), Jürgen Beck(University of Freiburg), Ulrich Hofmann(University of Freiburg), Daniel Delev(RWTH Aachen University), Oliver Schnell(University of Freiburg), Dieter Henrik Heiland(University of Freiburg)
bioRxiv (Cold Spring Harbor Laboratory)
October 21, 2020
10.1101/2020.10.20.346544
Cited by 53Open Access
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Abstract

Abstract Spatial transcriptomic is a technology to provide deep transcriptomic profiling by preserving the spatial organization. Here, we present a framework for SPAtial Transcriptomic Analysis (SPATA, https://themilolab.github.io/SPATA ), to provide a comprehensive characterization of spatially resolved gene expression, regional adaptation of transcriptional programs and transient dynamics along spatial trajectories.

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