Tissue-resolved proteomic characterization of oat grains guided by metabolite MALDI mass spectrometry imaging

The metabolic architecture of oat grains remains poorly understood at the cellular and proteome levels despite increasing interest for applications such as nutritional enhancement and functional crop improvement. In this study, we performed matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) to map metabolite distributions across oat grain tissues and delineate major compartments of metabolite localization. These metabolite-rich regions, notably the bran, endosperm, and embryo, were then isolated for proteomic analysis, which detected around 3700 proteins across all tissue types. Gene ontology analysis highlighted specialized functions and biological processes associated with each compartment. Further interrogation of key proteins revealed the enrichment of core cellular functions such as energy generation, translation, and stress resilience in the embryo, nutrient storage in the endosperm, and an intermediate functional profile in the bran. These findings provide new insights into the spatial organization of metabolic functions within oat grains and warrant further exploration of sub-regions for a deeper understanding of the oat metabolic architecture.

Authors

Institutions

Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2026-05-11
DOI
https://doi.org/10.1007/s00216-026-06555-6
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tissue-resolved proteomic characterization of oat grains guided by metabolite MALDI mass spectrometry imaging

Leigh Donnellan, Darren Lau, Peter Hoffmann, Manuela Klingler-Hoffmann et al.
Analytical and Bioanalytical Chemistry
Food composition and properties
article

Tissue-resolved proteomic characterization of oat grains guided by metabolite MALDI mass spectrometry imaging

Leigh Donnellan, Darren Lau, Peter Hoffmann, Manuela Klingler-Hoffmann, Jack Scanlan, Parul Mittal
article en

Abstract

The metabolic architecture of oat grains remains poorly understood at the cellular and proteome levels despite increasing interest for applications such as nutritional enhancement and functional crop improvement. In this study, we performed matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) to map metabolite distributions across oat grain tissues and delineate major compartments of metabolite localization. These metabolite-rich regions, notably the bran, endosperm, and embryo, were then isolated for proteomic analysis, which detected around 3700 proteins across all tissue types. Gene ontology analysis highlighted specialized functions and biological processes associated with each compartment. Further interrogation of key proteins revealed the enrichment of core cellular functions such as energy generation, translation, and stress resilience in the embryo, nutrient storage in the endosperm, and an intermediate functional profile in the bran. These findings provide new insights into the spatial organization of metabolic functions within oat grains and warrant further exploration of sub-regions for a deeper understanding of the oat metabolic architecture.

Analytical and Bioanalytical Chemistry
The University of Adelaide (AU)
Openalex Percentile: Top 8%
Food composition and properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tissue-resolved proteomic characterization of oat grains guided by metabolite MALDI mass spectrometry imaging — Leigh Donnellan, Darren Lau, et al. · Analytical and Bioanalytical Chemistry (2026) | TGRS Research Map | TGRS