Dataset Information

Automated analysis of embryonic gene expression with cellular resolution in C. elegans.

ABSTRACT: We describe a system that permits the automated analysis of reporter gene expression in Caenorhabditis elegans with cellular resolution continuously during embryogenesis. We demonstrate its utility by defining the expression patterns of reporters for several embryonically expressed transcription factors. The invariant cell lineage permits the automated alignment of multiple expression profiles, allowing direct comparison of the expression of different genes' reporters. We also used this system to monitor perturbations to normal development involving changes both in cell-division timing and in cell fate. Systematic application of this system could reveal the gene activity of each cell throughout development.

SUBMITTER: Murray JI

PROVIDER: S-EPMC2553703 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature

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Automated analysis of embryonic gene expression with cellular resolution in C. elegans.

Murray John Isaac JI Bao Zhirong Z Boyle Thomas J TJ Boeck Max E ME Mericle Barbara L BL Nicholas Thomas J TJ Zhao Zhongying Z Sandel Matthew J MJ Waterston Robert H RH

Nature methods 20080629 8

We describe a system that permits the automated analysis of reporter gene expression in Caenorhabditis elegans with cellular resolution continuously during embryogenesis. We demonstrate its utility by defining the expression patterns of reporters for several embryonically expressed transcription factors. The invariant cell lineage permits the automated alignment of multiple expression profiles, allowing direct comparison of the expression of different genes' reporters. We also used this system t ...[more]

PMID: 18587405

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Project description:BackgroundDifferential gene expression specifies the highly diverse cell types that constitute the nervous system. With its sequenced genome and simple, well-defined neuroanatomy, the nematode C. elegans is a useful model system in which to correlate gene expression with neuron identity. The UNC-4 transcription factor is expressed in thirteen embryonic motor neurons where it specifies axonal morphology and synaptic function. These cells can be marked with an unc-4::GFP reporter transgene. Here we describe a powerful strategy, Micro-Array Profiling of C. elegans cells (MAPCeL), and confirm that this approach provides a comprehensive gene expression profile of unc-4::GFP motor neurons in vivo.ResultsFluorescence Activated Cell Sorting (FACS) was used to isolate unc-4::GFP neurons from primary cultures of C. elegans embryonic cells. Microarray experiments detected 6,217 unique transcripts of which approximately 1,000 are enriched in unc-4::GFP neurons relative to the average nematode embryonic cell. The reliability of these data was validated by the detection of known cell-specific transcripts and by expression in UNC-4 motor neurons of GFP reporters derived from the enriched data set. In addition to genes involved in neurotransmitter packaging and release, the microarray data include transcripts for receptors to a remarkably wide variety of signaling molecules. The added presence of a robust array of G-protein pathway components is indicative of complex and highly integrated mechanisms for modulating motor neuron activity. Over half of the enriched genes (537) have human homologs, a finding that could reflect substantial overlap with the gene expression repertoire of mammalian motor neurons.ConclusionWe have described a microarray-based method, MAPCeL, for profiling gene expression in specific C. elegans motor neurons and provide evidence that this approach can reveal candidate genes for key roles in the differentiation and function of these cells. These methods can now be applied to generate a gene expression map of the C. elegans nervous system.

Dataset Information

Automated analysis of embryonic gene expression with cellular resolution in C. elegans.

Publications

Automated analysis of embryonic gene expression with cellular resolution in C. elegans.

Similar Datasets

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