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Updated: Jul 10, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

A high-resolution root spatiotemporal map reveals dominant expression patterns.

Siobhan M Brady¹, David A Orlando, Ji-Young Lee

¹Department of Biology, Duke University, Durham, NC 27708, USA.

Science (New York, N.Y.)

|November 3, 2007

Summary

This study maps gene expression in Arabidopsis roots, revealing complex transcriptional programs that define cell identity and function during development. Findings show gene expression patterns are dynamic and not strictly tied to traditional root zones.

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Area of Science:

Plant Biology
Developmental Biology
Genomics

Background:

Understanding developmental programs is key to cell and tissue identity.
Transcriptional regulation is crucial for spatial and temporal control during development.

Purpose of the Study:

To create a high-resolution map of transcriptional profiles across Arabidopsis root development.
To identify cell type-specific transcriptional signatures and their functions.

Main Methods:

Microarray expression profiling of developmental time points in Arabidopsis roots.
Computational analysis to identify dominant gene expression patterns.
Cell type-specific transcriptional signature mapping.

Main Results:

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Last Updated: Jul 10, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Detailed transcriptional signatures for nearly all Arabidopsis root cell types were generated.
Identified dominant expression patterns revealing transcriptional similarities between different cell types.
Observed dynamic gene expression fluctuations along the root axis, not strictly correlating with defined developmental zones.

Conclusions:

Arabidopsis root development involves complex, spatially and temporally regulated transcriptional programs.
Transcriptional signatures can predict novel cellular functions.
Gene expression patterns exhibit co-regulation and phasing, highlighting developmental plasticity.