A Maize Database Resource that Captures Tissue-Specific and Subcellular-Localized Gene Expression, via Fluorescent Tags and Confocal Imaging. (Maize Cell Genomics Database)

Krishnakumar, V., Choi, Y., Beck, E., Wu, Q., Luo, A., Sylvester, A., Jackson, D., Chan, A. P. (November 2015) A Maize Database Resource that Captures Tissue-Specific and Subcellular-Localized Gene Expression, via Fluorescent Tags and Confocal Imaging. (Maize Cell Genomics Database). Plant & cell physiology, 56 (1). e12. ISSN 0032-0781

URL: http://www.ncbi.nlm.nih.gov/pubmed/25432973
DOI: 10.1093/pcp/pcu178

Abstract

Maize is a global crop and a powerful system among grain crops for genetic and genomic studies. However, the development of novel biological tools and resources to aid in the functional identification of gene sequences is strongly needed. Towards this goal, we have developed a collection of maize marker lines for studying native gene expression in specific cell types and subcellular compartments using fluorescent proteins (FP). To catalog FP expression, we have developed a public repository, the Maize Cell Genomics (MCG) Database, (http://maize.jcvi.org/cellgenomics), to organize a large dataset of confocal images generated from the maize marker lines. To date, the collection represents major subcellular structures and also developmentally important progenitor cell populations. The resource is available to the research community, for example to study protein localization or interactions under various experimental conditions or mutant backgrounds. A subset of the marker lines can also be used to induce mis-expression of target genes through a transactivation system. For future directions, the image repository can be expanded to accept new image submissions from the research community, and to perform customized large-scale computational image analysis. This community resource will provide a suite of new tools for gaining biological insights by following the dynamics of protein expression at the sub-cellular, cellular, and tissue levels.

Item Type: Paper
Subjects: bioinformatics > genomics and proteomics > databases
organism description > plant > maize
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression
Investigative techniques and equipment > imaging
CSHL Authors:
Communities: CSHL labs > Jackson lab
Depositing User: Matt Covey
Date: 27 November 2015
Date Deposited: 27 Feb 2015 17:25
Last Modified: 27 Feb 2015 17:25
Related URLs:
URI: https://repository.cshl.edu/id/eprint/31239

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