Spatially resolved transcriptomics reveals plant host responses to pathogens.

ABSTRACT:

Background

Thorough understanding of complex model systems requires the characterisation of processes in different cell types of an organism. This can be achieved with high-throughput spatial transcriptomics at a large scale. However, for plant model systems this is still challenging as suitable transcriptomics methods are sparsely available. Here we present GaST-seq (Grid-assisted, Spatial Transcriptome sequencing), an easy to adopt, micro-scale spatial-transcriptomics workflow that allows to study expression profiles across small areas of plant tissue at a fraction of the cost of existing sequencing-based methods.

Results

We compare the GaST-seq method with widely used library preparation methods (Illumina TruSeq). In spatial experiments

SUBMITTER: Giolai M 

PROVIDER: S-EPMC6785889 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature