Capturing functional long non-coding RNAs through integrating large-scale causal relations from gene perturbation experiments.

ABSTRACT: Characterizing functions of long noncoding RNAs (lncRNAs) remains a major challenge, mostly due to the lack of lncRNA-involved regulatory relationships. A wide array of genome-wide expression profiles generated by gene perturbation have been widely used to capture causal links between perturbed genes and response genes. Through annotating >600 gene perturbation profiles, over 354,000 causal relationships between perturbed genes and lncRNAs were identified. This large-scale resource of causal relations inspired us to develop a novel computational approach LnCAR for inferring lncRNAs' functions, which showed a higher accuracy than the co-expression based approach. By application of LnCAR to the cancer hallmark processes, we identified 38 lncRNAs involved in distinct carcinogenic processes. T

SUBMITTER: Xu J 

PROVIDER: S-EPMC6156711 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature