eXPRESSION: An in silico tool to predict patterns of gene expression
Copyright policy )eXPRESSION: An in silico tool to predict patterns of gene expression
In embryological studies, expression pattern analyses are of special importance since genes that have temporally and spatially restricted expression are not only essential as lineage markers but are often causative in formation of specific fates. Further, where a molecule is expressed can be quite revealing in regard to its endogenous function. We present a gene discovery tool, termed eXPRESSION, that utilizes the public EST databases to identify genes matching desired transcriptional profiles. We first tested and validated the ability of eXPRESSION to discover tissue-specific genes in the adult mouse; empirically as well as with DNA microarrays and RT-PCRs. These studies showed that eXPRESSION predictions could identify genes that are specifically expressed in adult mouse tissues. Next, we developed a novel search strategy to find genes that are expressed in specific regions or tissues of the developing mouse embryo. With these tools, we identified several novel genes that exhibited a neural-specific or neural-enriched expression pattern during murine development. The data show that eXPRESSION is widely applicable and may be used to identify both adult and embryonic tissue- or organ-specific genes with minimal cost and effort.
- The University of Texas Southwestern Medical Center United States
Central Nervous System, Expressed Sequence Tags, Neurons, Internet, Models, Statistical, Time Factors, Reverse Transcriptase Polymerase Chain Reaction, Computational Biology, Gene Expression, Mice, Gene Expression Regulation, Databases, Genetic, Animals, Tissue Distribution, Algorithms, In Situ Hybridization, Software, Oligonucleotide Array Sequence Analysis
Central Nervous System, Expressed Sequence Tags, Neurons, Internet, Models, Statistical, Time Factors, Reverse Transcriptase Polymerase Chain Reaction, Computational Biology, Gene Expression, Mice, Gene Expression Regulation, Databases, Genetic, Animals, Tissue Distribution, Algorithms, In Situ Hybridization, Software, Oligonucleotide Array Sequence Analysis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!