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Jeremy E. Coate

Researcher at Reed College

Publications -  33
Citations -  1183

Jeremy E. Coate is an academic researcher from Reed College. The author has contributed to research in topics: Gene & Gene duplication. The author has an hindex of 15, co-authored 27 publications receiving 881 citations. Previous affiliations of Jeremy E. Coate include Cornell University & Oregon State University.

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Polyploidy, the Nucleotype, and Novelty: The Impact of Genome Doubling on the Biology of the Cell

TL;DR: This work updates the old but still relevant concept of polyploidy, focusing on what current knowledge from cell biology can elucidate about how quantitative differences between diploids and isogenic autopolyploids could lead to phenotypic differences.
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Ploidy and Size at Multiple Scales in the Arabidopsis Sepal.

TL;DR: Investigating scaling relationships between ploidy and size by simultaneously quantifying nuclear size, cell size, and organ size in sepals from an isogenic series of diploid, tetraploids, and octoploid Arabidopsis thaliana plants sheds light on how size is regulated in plants and how cells and organisms of differing sizes are generated by ploidY change.
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The legacy of diploid progenitors in allopolyploid gene expression patterns.

TL;DR: This work reanalyse recent data from this system within the conceptual framework of parental legacies on duplicate gene expression in allopolyploids of Tragopogon (Asteraceae) and highlights the intellectual connection between Gottlieb's phrasing of this issue and the more contemporary framework of cis- versus trans-regulation of duplicate gene Expression inallopolyploid plants.
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A comparative transcriptomic study of an allotetraploid and its diploid progenitors illustrates the unique advantages and challenges of RNA-seq in plant species.

TL;DR: A novel metric developed to address issues arising from high degrees of gene space duplication and a method for dissecting a gene's measured transcript level in a polyploid species into the relative contribution of its homoeologues are presented.
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Quantifying Whole Transcriptome Size, a Prerequisite for Understanding Transcriptome Evolution Across Species: An Example from a Plant Allopolyploid

TL;DR: An assay for estimating relative expression per cell is described and this experimental approach will add value to transcript profiling experiments involving interspecies and interploidy comparisons by converting expression per transcriptome to expression per genome, eliminating the need for assumptions about transcriptome size.