A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns
Duke University · Rho (United States)
Abstract
Transcriptional programs that regulate development are exquisitely controlled in space and time. Elucidating these programs that underlie development is essential to understanding the acquisition of cell and tissue identity. We present microarray expression profiles of a high-resolution set of developmental time points within a single Arabidopsis root and a comprehensive map of nearly all root cell types. These cell type-specific transcriptional signatures often predict previously unknown cellular functions. A computational pipeline identified dominant expression patterns that demonstrate transcriptional similarity between disparate cell types. Dominant expression patterns along the root's longitudinal axis do…
Citation impact
- FWCI
- 74.08
- Percentile
- 100%
- References
- 23
Authors
9Topics & keywords
- Arabidopsis
- Biology
- Gene expression
- Arabidopsis thaliana
- Computational biology
- Regulation of gene expression
- Gene
- Gene expression profiling