Postdoc - Biomedicine

miRCancerdb: a database for correlation analysis between microRNA and gene expression in cancer.


Journal article


Mahmoud Ahmed, Huynh Nguyen, Trang Lai, Deok Ryong Kim
BMC Research Notes, vol. 11(1), 2018 Jan 7, pp. 103-103

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APA
Ahmed, M., Nguyen, H., Lai, T., & Kim, D. R. (2018). miRCancerdb: a database for correlation analysis between microRNA and gene expression in cancer. BMC Research Notes, 11(1), 103–103.

Chicago/Turabian
Ahmed, Mahmoud, Huynh Nguyen, Trang Lai, and Deok Ryong Kim. “MiRCancerdb: a Database for Correlation Analysis between MicroRNA and Gene Expression in Cancer.” BMC Research Notes 11, no. 1 (January 7, 2018): 103–103.

MLA
Ahmed, Mahmoud, et al. “MiRCancerdb: a Database for Correlation Analysis between MicroRNA and Gene Expression in Cancer.” BMC Research Notes, vol. 11, no. 1, Jan. 2018, pp. 103–03.


Abstract

Objectives: microRNAs regulate expression of target genes by specifically binding to their transcripts, subsequently leading to translational inhibition or mRNA degradation. Gene regulation by microRNAs has been implicated in a wide range of physiological and pathological conditions. Here, we leverage the use of public-access data and the available genomic annotations to pre-calculate the correlation of the expression of a large number of microRNAs with gene at the mRNA and protein level in the context of cancers.
Results: Expression data of miRNAs, mRNAs and proteins in cancer patients from The Cancer Genome Atlas along with TargetScan miRNAs-target annotations were used to calculate the expression correlations between miRNAs and features (mRNAs/proteins) in a number of cancer studies. We then packed the output of this analysis into a database and made it available through an interactive web application. The miRCancerdb is an easy-to-use database to investigate the microRNAs-dependent regulation of target genes involved in development of cancer.