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Related Experiment Video

Updated: Jun 13, 2026

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry
08:15

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry

Published on: November 8, 2024

Barley grain development toward an integrative view.

Nese Sreenivasulu1, Ljudmilla Borisjuk, Björn H Junker

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.

International Review of Cell and Molecular Biology
|May 13, 2010
PubMed
Summary
This summary is machine-generated.

Barley grain development involves complex tissue interactions and molecular processes. Computational modeling integrating diverse datasets offers a systems biology approach to understand seed development and metabolism.

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Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput
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Last Updated: Jun 13, 2026

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry
08:15

Metabolomic Analysis of Barley by Gas Chromatography/Mass Spectrometry

Published on: November 8, 2024

Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput
10:29

Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput

Published on: March 30, 2018

Area of Science:

  • Plant Biology
  • Developmental Biology
  • Computational Biology

Background:

  • Seeds are intricate structures with maternal and filial tissues undergoing dynamic changes.
  • The barley grain serves as a model for cereal seed development studies.

Purpose of the Study:

  • To review recent advancements in modeling barley grain development.
  • To integrate diverse datasets for a comprehensive understanding of molecular and physiological processes.

Main Methods:

  • Utilizing 3-D/4-D models from histological sections and non-destructive NMR measurements.
  • Analyzing extensive transcriptome data to understand molecular pathways.
  • Investigating programmed cell death (PCD) and remobilization processes.

Main Results:

  • Maternal influences and the roles of specific tissues (pericarp, nucellus, endosperm) are crucial.
  • Transcriptional networks suggest abscisic acid (ABA) involvement in early development.
  • Metabolic adaptations are vital for storage product synthesis under oxygen-deficient conditions.

Conclusions:

  • Systems biology and predictive computational modeling are key future challenges for integrating data.
  • Understanding barley grain development requires a multidisciplinary approach combining experimental and computational methods.