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Related Experiment Video

Updated: Jul 20, 2025

Live Confocal Imaging of Developing Arabidopsis Flowers

Live Confocal Imaging of Developing Arabidopsis Flowers

Published on: April 1, 2017

Multi-Omics Methods Applied to Flower Development.

Raquel Álvarez-Urdiola¹, José Tomás Matus^1,2, José Luis Riechmann^3,4

¹Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, Cerdanyola del Vallès, Barcelona, Spain.

Methods in Molecular Biology (Clifton, N.J.)

|August 4, 2023

Summary

This study introduces a dual extraction method for simultaneous protein and RNA analysis. This approach aids in understanding gene expression dynamics and their correlation with proteomic data during development.

Keywords:

Arabidopsis Flower development LC-MS/MS Protein extraction Proteomics RNA extraction Transcriptomics

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Last Updated: Jul 20, 2025

Live Confocal Imaging of Developing Arabidopsis Flowers

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Published on: April 1, 2017

Whole-mount Clearing and Staining of Arabidopsis Flower Organs and Siliques

Whole-mount Clearing and Staining of Arabidopsis Flower Organs and Siliques

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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Area of Science:

Molecular Biology
Developmental Biology
Genomics

Background:

Multicellular development relies on precise gene expression control.
Previous studies focused on gene regulatory networks but lacked proteome-transcriptome correlation.
A dynamic view of development necessitates studying protein expression alongside RNA.

Purpose of the Study:

To present a dual extraction method for simultaneous protein and RNA isolation.
To characterize genome expression at the proteome level.
To correlate proteomic data with transcript expression data.

Main Methods:

Dual extraction method for simultaneous protein and RNA isolation.
Shotgun proteomic analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
Bioinformatic pipeline for imputing missing values in mass spectrometry data.

Main Results:

Successfully developed and applied a dual extraction technique.
Enabled characterization of genome expression at the proteome level.
Facilitated correlation analysis between proteomic and transcriptomic data.

Conclusions:

The dual extraction method provides a comprehensive view of gene expression.
Integrating proteomic and transcriptomic data enhances understanding of developmental processes.
This approach is valuable for studying complex biological systems.