Search PubMed⌕ Search

PubMed · 17038193

A Fisheye Viewer for microarray-based gene expression data.

Abstract

BACKGROUND: Microarray has been widely used to measure the relative amounts of every mRNA transcript from the genome in a single scan. Biologists have been accustomed to reading their experimental data directly from tables. However, microarray data are quite large and are stored in a series of files in a machine-readable format, so direct reading of the full data set is not feasible. The challenge is to design a user interface that allows biologists to usefully view large tables of raw microarray-based gene expression data. This paper presents one such interface--an electronic table (E-table) that uses fisheye distortion technology. RESULTS: The Fisheye Viewer for microarray-based gene expression data has been successfully developed to view MIAME data stored in the MAGE-ML format. The viewer can be downloaded from the project web site http://polaris.imt.uwm.edu:7777/fisheye/. The fisheye viewer was implemented in Java so that it could run on multiple platforms. We implemented the E-table by adapting JTable, a default table implementation in the Java Swing user interface library. Fisheye views use variable magnification to balance magnification for easy viewing and compression for maximizing the amount of data on the screen. CONCLUSION: This Fisheye Viewer is a lightweight but useful tool for biologists to quickly overview the raw microarray-based gene expression data in an E-table.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Min Wu, Cheng Thao, Xiangming Mu, Ethan V Munson. 2006-10-13. A Fisheye Viewer for microarray-based gene expression data.. https://doi.org/10.1186/1471-2105-7-452

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Protocol to improve isoform-level quantification of low-abundance transcripts via STALARD pre-amplification.

STALARD (selective target amplification for low-abundance RNA detection) enables isoform-level quantification of low-abundance RNAs using conventional laboratory equipment. Here, we describe steps for RNA isolation, primer design, reverse transcription, selective target amplification, and downstream analysis. The protocol couples selective pre-amplification with a quantitative reverse-transcription PCR (RT-qPCR) readout and optional nanopore sequencing. Using 1 μg input RNA and 12 pre-amplification cycles, STALARD reduces Cq values by approximately 10-12 cycles, bringing the target into a reliably quantifiable range. For complete details on the use and execution of this protocol, please refer to Jeong et al.1.

Gene Expression↗

Multi-gene engineering: simultaneous expression and knockdown of six genes off a single platform.

Increases in our understanding of gene function have greatly expanded the repertoire of possible genetic interventions at our disposal with the consequence that many genetic engineering applications require multiple manipulations in which target genes can be both overexpressed and silenced in a simple and co-ordinated manner. Using synthetic introns as a source of encoding short-interfering RNA (siRNA), we demonstrate that it is possible to simultaneously express both a transgene and siRNA from a single polymerase (Pol) II promoter. By encoding siRNA as an intron between two protein domains requiring successful splicing for functionality, it was possible to demonstrate that splicing was occurring, that the coding genes (exonic transgenes) resulted in functional protein, and that the spliced siRNA-containing lariat was capable of modulating expression of a separate target gene. We subsequently extended this concept to develop pTRIDENT-based multi-cistronic vectors that were capable of co-ordinated expression of up to three siRNAs and three transgenes off a single genetic platform. Such multi-gene engineering technology, enabling concomitant transgene overexpression and target gene knockdown, should be useful for therapeutic, biopharmaceutical production, and basic research applications.

Gene Expression↗

Localization of proton-ATPase genes expressed in arbuscular mycorrhizal tomato plants.

In arbuscular mycorrhizal symbioses, solutes such as phosphate are transferred to the plant in return for photoassimilates. The uptake mechanism is probably facilitated by a proton gradient generated by proton H(+)-ATPases. We investigated expression of Lycopersicon esculentum Mill. H(+)-ATPases in mycorrhizal and non-mycorrhizal plants to determine if any are specifically regulated in response to colonization. Tissue expression and cellular localization of H(+)-ATPases were determined by RNA gel blot analysis and in situ hybridization of mycorrhizal and non-mycorrhizal roots. LHA1, LHA2, and LHA4 had high levels of expression in roots and were expressed predominantly in epidermal cells. LHA1 and LHA4 were also expressed in cortical cells containing arbuscules. The presence of arbuscules in root sections was correlated with lower levels of expression of these two isoforms in the epidermis. These results suggest that LHA1 and LHA4 expression is decreased in epidermal cells located in regions of the root that contain arbuscules. This provides evidence of differential regulation between molecular mechanisms involved in proton-coupled nutrient transfer either from the soil or fungus to the plant.

Gene Expression↗