Mgex-Udb: A mammalian uterus database for expression-based cataloguing of genes across conditions, including endometriosis and cervical cancer

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Abstract

Background: Gene expression profiling of uterus tissue has been performed in various contexts, but a significant amount of the data remains underutilized as it is not covered by the existing general resources. Methodology/Principal Findings: We curated 2254 datasets from 325 uterus related mass scale gene expression studies on human, mouse, rat, cow and pig species. We then computationally derived a 'reliability score' for each gene's expression status (transcribed/dormant), for each possible combination of conditions and locations, based on the extent of agreement or disagreement across datasets. The data and derived information has been compiled into the (MGEx-Udb, http://resource.ibab.ac.in/MGEx-Udb/). The database can be queried with gene names/IDs, sub-tissue locations, as well as various conditions such as the cervical cancer, endometrial cycles and disorders, and experimental treatments. Accordingly, the output would be a) transcribed and dormant genes listed for the queried condition/location, or b) expression profile of the gene of interest in various uterine conditions. The results also include the reliability score for the expression status of each gene. MGEx-Udb also provides information related to Gene Ontology annotations, protein-protein interactions, transcripts, promoters, and expression status by other sequencing techniques, and facilitates various other types of analysis of the individual genes or co-expressed gene clusters. Conclusions/Significance: In brief, MGEx-Udb enables easy cataloguing of co-expressed genes and also facilitates bio-marker discovery for various uterine conditions. © 2012 Bajpai et al.

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Bajpai, A. K., Davuluri, S., Chandrashekar, D. S., Ilakya, S., Dinakaran, M., & Acharya, K. K. (2012). Mgex-Udb: A mammalian uterus database for expression-based cataloguing of genes across conditions, including endometriosis and cervical cancer. PLoS ONE, 7(5). https://doi.org/10.1371/journal.pone.0036776

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