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Related Experiment Video

Updated: May 27, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Transcriptome profiling across 11 different tissues in Pisum sativum.

Ru-Zhi Li^1,2, Guan Li², Xiao-Yan Zhang³

¹College of Agriculture and Biology, Liaocheng University, Liaocheng, 252000, China.

BMC Genomic Data

|February 20, 2025

Summary

This study sequenced the transcriptome of 11 pea tissues, revealing gene expression patterns. The findings offer insights into pea development and potential for genetic improvement.

Keywords:

Pisum sativum Gene expression Pea tissues Transcriptomics

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Last Updated: May 27, 2025

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Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

Area of Science:

Plant Biology
Genomics
Molecular Biology

Background:

Peas (Pisum sativum) are crucial for nutrition and Mendelian genetics.
Understanding pea gene expression is key for agricultural advancements.

Purpose of the Study:

To generate a comprehensive transcriptome dataset for 11 distinct pea tissues.
To identify gene expression variations and potential candidate genes for pea improvement.

Main Methods:

Performed whole-transcriptome sequencing on 11 pea tissue types with biological replicates.
Utilized principal component analysis (PCA) for sample variation analysis.
Conducted gene ontology (GO) enrichment analysis to understand functional gene roles.

Main Results:

Generated an extensive RNA-seq dataset providing rich transcriptomic information.
Identified significant variations in gene expression across different pea tissues.
Discovered potential candidate genes for enhancing pea genetic traits.

Conclusions:

The study provides valuable insights into pea gene expression across diverse tissues.
This transcriptomic resource supports future research on pea growth, development, and environmental responses.
Offers new strategies and candidate genes for the genetic improvement of peas.