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Dataset Information

Candidate silencer elements for the human and mouse genomes.


ABSTRACT: The study of gene regulation is dominated by a focus on the control of gene activation or increase in the level of expression. Just as critical is the process of gene repression or silencing. Chromatin signatures have identified enhancers, however, genome-wide identification of silencers by computational or experimental approaches are lacking. Here, we first define uncharacterized cis-regulatory elements likely containing silencers and find that 41.5% of ~7500 tested elements show silencer activity using massively parallel reporter assay (MPRA). We trained a support vector machine classifier based on MPRA data to predict candidate silencers in over 100 human and mouse cell or tissue types. The predicted candidate silencers exhibit characteristics expected of silencers. Leveraging promoter-

SUBMITTER: Doni Jayavelu N 

PROVIDER: S-EPMC7044160 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature