m 6 Aexpress-BHM: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model

m6Aexpress-enet: Predicting the regulatory expression m6A sites by an enet-regularization negative binomial regression model

As the most abundant mRNA modification, m6A controls and influences many aspects of mRNA metabolism including the mRNA stability and degradation. However, the role of specific m6A sites in regulating gene expression still remains unclear. In additional, the multicollinearity problem caused by the correlation of methylation level of multiple m6A sites in each gene could influence the prediction performance. To address the above challenges, we propose an elastic-net regularized negative binomial regression model (called m6Aexpress-enet) to predict which m6A site could potentially regulate its gene expression. Comprehensive evaluations on simulated datasets demonstrate that m6Aexpress-enet could achieve the top prediction performance. Applying m6Aexpress-enet on real MeRIP-seq data from human lymphoblastoid cell lines, we have uncovered the complex regulatory pattern of predicted m6A sites and their unique enrichment pathway of the constructed co-methylation modules. m6Aexpress-enet proves itself as a powerful tool to enable biologists to discover the mechanism of m6A regulatory gene expression. Furthermore, the source code and the step-by-step implementation of m6Aexpress-enet is freely accessed at https://github.com/tengzhangs/m6Aexpress-enet.

The role of m6A-mediated PD-1/PD-L1 in antitumor immunity

N6-methyladenosine (m6A) is the most prevalent, abundant and conserved type of internal posttranscriptional RNA modification in eukaryotic cells. Emerging evidence suggests that m6A modifications perform important functions that affect antitumor immunity. Programmed death 1 (PD-1) and programmed cell death-ligand 1 (PD-L1) are the two most well-studied immune checkpoint pathways. The interaction of PD-L1 with its receptor PD-1 inhibits cytotoxic T-cell-mediated tumor responses, and blockade of this interaction has proven to be an effective immunotherapy strategy in various cancers. Unfortunately, few cancer patients benefit from the two tools due to uncertain resistance. m6A plays an important role in affecting RNA biogenesis and process in various cancers. Understanding the molecular mechanism of drug resistance will promote the development of personalized clinical management. In this review, we systematically discussed the mechanisms by which m6A regulates PD-1 and PD-L1 expression and further their functions in the process of tumor immunotherapy and the potential application prospects of m6A-associated molecules. Moreover, mounting m6Ascore is established to evaluate the prognosis of cancer.