Using the iPlant collaborative discovery environment.

The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, the Discovery Environment also creates a unified space in which researchers can access scalable tools. Researchers can use available Applications (Apps) to execute analyses on their data, as well as customize or integrate their own tools to better meet the specific needs of their research. These Apps can also be used in workflows that automate more complicated analyses. This module describes how to use the main features of the Discovery Environment, using bioinformatics workflows for high-throughput sequence data as examples.

Identification of medicinal plants and plant sequences: multiplexed MLPA assay.

Recognition of medicinal plant species or plant characters can be accomplished through the use of genomic DNA sequences unique to a species, a group of species, or a species variant. An assay well-suited to this application is the Multiplexed Ligase-dependent Probe Amplification (MLPA) assay. It uses the sensitivity of the polymerase chain reaction, but increases the specificity by including a key ligation step for those MLPA probes that hybridize to a DNA sequence. The MLPA can be used to perform multiple tests in one tube, but the number of tests is limited when the amplified products are separated by chromatography. The use of hybridization to a microarray as part of the MLPA allows for a potentially greater number of tests to be performed on one sample. We describe the method for the MLPA procedure in detail, including the microarray hybridization protocol.

Global characterization of cell-specific gene expression through fluorescence-activated sorting of nuclei.

We describe a simple and highly effective means for global identification of genes that are expressed within specific cell types within complex tissues. It involves transgenic expression of nuclear-targeted green fluorescent protein in a cell-type-specific manner. The fluorescent nuclei are then purified from homogenates by fluorescence-activated sorting, and the RNAs employed as targets for microarray hybridization. We demonstrate the validity of the approach through the identification of 12 genes that are selectively expressed in phloem.

Comparison of the contributions of the nuclear and cytoplasmic compartments to global gene expression in human cells.

BACKGROUND: In the most general sense, studies involving global analysis of gene expression aim to provide a comprehensive catalog of the components involved in the production of recognizable cellular phenotypes. These studies are often limited by the available technologies. One technology, based on microarrays, categorizes gene expression in terms of the abundance of RNA transcripts, and typically employs RNA prepared from whole cells, where cytoplasmic RNA predominates. RESULTS: Using microarrays comprising oligonucleotide probes that represent either protein-coding transcripts or microRNAs (miRNA), we have studied global transcript accumulation patterns for the HepG2 (human hepatoma) cell line. Through subdividing the total pool of RNA transcripts into samples from nuclei, the cytoplasm, and whole cells, we determined the degree of correlation of these patterns across these different subcellular locations. The transcript and miRNA abundance patterns for the three RNA fractions were largely similar, but with some exceptions: nuclear RNA samples were enriched with respect to the cytoplasm in transcripts encoding proteins associated with specific nuclear functions, such as the cell cycle, mitosis, and transcription. The cytoplasmic RNA fraction also was enriched, when compared to the nucleus, in transcripts for proteins related to specific nuclear functions, including the cell cycle, DNA replication, and DNA repair. Some transcripts related to the ubiquitin cycle, and transcripts for various membrane proteins were sorted into either the nuclear or cytoplasmic fractions. CONCLUSION: Enrichment or compartmentalization of cell cycle and ubiquitin cycle transcripts within the nucleus may be related to the regulation of their expression, by preventing their translation to proteins. In this way, these cellular functions may be tightly controlled by regulating the release of mRNA from the nucleus and thereby the expression of key rate limiting steps in these pathways. Many miRNA precursors were also enriched in the nuclear samples, with significantly fewer being enriched in the cytoplasm. Studies of mRNA localization will help to clarify the roles RNA processing and transport play in the regulation of cellular function.

Development of a comprehensive detection method for medicinal and toxic plant species.

Pharmacologically active ingredients in plants can cause significant morbidity through their increasingly common use in herbal alternative medicines and dietary supplements. Monitoring consumer products for the presence of toxic plants is encumbered by the lack of rapid and specific assays. To create a sensitive, reliable, fast, and broad-spectrum assay for medicinal or toxic plant species, we tested multiplexed ligation-dependent probe amplification (MLPA), which requires partial genomic DNA sequences from species of plants that are not well represented in currently available genetic databases. Genomic DNA was obtained from 21 species of medicinal and/or toxic plants. The PCR products were amplified from these plants and cloned for sequencing. The MLPA method was successful with DNA samples from many different species. The use of a microarray to facilitate screening of potentially thousands of plants in a single assay also was successful. The combination of the specificity of the MLPA assay with the broad-scale capabilities of microarray technology should make this an especially useful tool in screening in foods and commercial herbal preparations to identify the plant compounds actually present. Other applications could potentially extend to the identification of any plant species in samples for academic botanical studies and for biodefense and forensics applications.