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Daniel L. Mace

Researcher at University of Washington

Publications -  10
Citations -  2359

Daniel L. Mace is an academic researcher from University of Washington. The author has contributed to research in topics: Regulation of gene expression & Gene expression profiling. The author has an hindex of 9, co-authored 10 publications receiving 2155 citations. Previous affiliations of Daniel L. Mace include Duke University.

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A High-Resolution Root Spatiotemporal Map Reveals Dominant Expression Patterns

TL;DR: Methods that combine 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 demonstrate transcriptionally rich and complex programs that define Arabidrosis root development in both space and time.
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Cell Identity Mediates the Response of Arabidopsis Roots to Abiotic Stress

TL;DR: The transcriptional response to high salinity of different cell layers and developmental stages of the Arabidopsis root is characterized and it is found that transcriptional responses are highly constrained by developmental parameters.
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Transcriptional and posttranscriptional regulation of transcription factor expression in Arabidopsis roots

TL;DR: The results suggest that, for Arabidopsis TFs, upstream noncoding sequences are major contributors to mRNA expression pattern establishment, but modulation of transcription factor protein expression pattern after transcription is relatively frequent.
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Regulatory analysis of the C. elegans genome with spatiotemporal resolution

TL;DR: This work determined the genomic distribution of binding sites for 92 transcription factors and regulatory proteins across multiple stages of Caenorhabditis elegans development by performing 241 ChIP-seq (chromatin immunoprecipitation followed by sequencing) experiments and produced a spatiotemporally resolved metazoan transcription factor binding map.
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A microfluidic device and computational platform for high-throughput live imaging of gene expression

TL;DR: A microfluidics device, the RootArray, in which 64 Arabidopsis thaliana seedlings can be grown and their roots imaged by confocal microscopy over several days without manual intervention, and decoupled acquisition from analysis to achieve high throughput.