Evidence map›Paper›PMID 31624491›Full record

ArticlePlant methods2019

Spatially resolved transcriptomics reveals plant host responses to pathogens.

Michael Giolai, Walter Verweij, Ashleigh Lister, Darren Heavens, Iain Macaulay, Matthew D Clark

Abstract read
In one paragraph

Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael Giolai1John Innes Centre, Norwich Research Park, Norwich, UK.
Walter VerweijEarlham Institute, Norwich Research Park, Norwich, UK.
Ashleigh ListerEarlham Institute, Norwich Research Park, Norwich, UK.
Darren HeavensEarlham Institute, Norwich Research Park, Norwich, UK.
Iain MacaulayEarlham Institute, Norwich Research Park, Norwich, UK.
Matthew D ClarkEarlham Institute, Norwich Research Park, Norwich, UK.ORCID 0000-0002-8049-5423

Funding

Biotechnology and Biological Sciences Research Council BB/M011216/1
6 · The paper itself

Abstract

backgroundThorough 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 (

resultsWe compare the GaST-seq method with widely used library preparation methods (Illumina TruSeq). In spatial experiments we show that the GaST-seq method is sensitive enough to identify expression differences across a plant organ. We further assess the spatial transcriptome response of

conclusionWe show that our method can be used to identify known, rapidly flagellin-22 elicited genes, plant immune response pathways to bacterial attack and spatial expression patterns of genes associated with these pathways.

Indexed as

Biotic interactionFLAREflg22GaST-seqOomycetePAMPPlant defence responsePlant immunityRNA-seqSpatial transcriptomicsTranscriptome landscapeTranscriptomics

Identifiers

PMID31624491
PMCPMC6785889

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.