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Serial Spatial Transcriptomes Reveal Regulatory Transitions In Maize Leaf Development.

Home
Serial Spatial Transcriptomes Reveal Regulatory Transitions In Maize Leaf Development.

Related Experiment Video

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Experimental Design for Laser Microdissection RNA-Seq: Lessons from an Analysis of Maize Leaf Development

Published on: March 5, 2017

Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development.

Chi-Chih Wu^1,2, Ludvig Larsson³, Kun-Ting Hsieh^1,4

¹Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.

Plant Biotechnology Journal

|January 6, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Researchers mapped gene expression in maize to understand leaf development. This spatial-temporal analysis reveals key regulators controlling transitions from stem cells to differentiated leaf structures.

Keywords:

3D gene expression mapping developmental trajectory growth‐regulating factors maize leaf development spatial transcriptomics transcription factor networks

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In Situ Hybridization for the Precise Localization of Transcripts in Plants

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In Situ Hybridization for the Precise Localization of Transcripts in Plants

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Published on: November 23, 2011

Area of Science:

Plant biology
Developmental biology
Genomics

Background:

Leaf development originates from the shoot apical meristem (SAM).
Gene expression cascades governing leaf cell specification and differentiation from the SAM are largely unknown.
Few key regulators of this process have been identified.

Purpose of the Study:

To optimize a spatial transcriptomics protocol for maize.
To reconstruct 3D gene expression profiles of the SAM and developing leaves.
To identify gene expression dynamics during leaf development.

Main Methods:

Optimized a 10× Genomics Visium spatial transcriptomics protocol.
Developed computational pipelines for 3D gene expression profiling.
Performed spatial-temporal transcriptome analysis on maize seedlings.

Main Results:

Successfully mapped positional gene expression in 3D across developmental stages.
Identified dynamic transitions from undifferentiated stem cells to differentiated leaf structures.
Discovered distinct transcriptional programs and key regulators for meristem maintenance, leaf initiation, vascular differentiation, and cellular heterogeneity.

Conclusions:

The optimized spatial transcriptomics pipeline provides high resolution for mapping gene expression in 3D.
This approach offers superior spatial-temporal context compared to single-cell profiling.
The pipeline is applicable to studying plant developmental transitions, cell specification, and differentiation.