Emerging Roles for Long Non-Coding RNAs in Cancer and Neurological Disorders

The recent discovery of thousands of long non-coding (lnc)RNAs in the human genome has prompted investigation of the potential roles of these molecules in human biology and medicine. Indeed, it is now well documented that many lncRNAs are involved in key biological processes, including dosage compensation, genomic imprinting, chromatin regulation, alternative splicing of pre-mRNA, nuclear organization; and potentially many other biological processes, which are yet to be elucidated. Recently, a number of studies have also reported that lncRNAs are dysregulated in a number of human diseases, including several cancers and neurological disorders. Although many of these studies have fallen short of implicating lncRNAs as causative, they suggest potential roles that warrant further in depth investigations. In this review, we discuss the current state of knowledge regarding the roles of lncRNAs in cancer and neurological disorders, and suggest potential future directions in this rapidly emerging field

Analysis of the RNA Binding Specificity Landscape of C5 Protein Reveals Structure and Sequence Preferences that Direct RNase P Specificity.

RNA binding proteins (RBPs) are typically involved in non-equilibrium cellular processes, and specificity can arise from differences in ground state, transition state, or product states of the binding reactions for alternative RNAs. Here, we use high-throughput methods to measure and analyze the RNA association kinetics and equilibrium binding affinity for all possible sequence combinations in the precursor tRNA binding site of C5, the essential protein subunit of Escherichia coli RNase P. The results show that the RNA sequence specificity of C5 arises due to favorable RNA-protein interactions that stabilize the transition state for association and bound enzyme-substrate complex. Specificity is further impacted by unfavorable RNA structure involving the C5 binding site in the ground state. The results illustrate a comprehensive quantitative approach for analysis of RNA binding specificity, and show how both RNA structure and sequence preferences of an essential protein subunit direct the specificity of a ribonucleoprotein enzyme