De novo annotation and characterization of the translatome with ribosome profiling data.

By capturing and sequencing the RNA fragments protected by translating ribosomes, ribosome profiling provides snapshots of translation at subcodon resolution. The growing needs for comprehensive annotation and characterization of the context-dependent translatomes are calling for an efficient and unbiased method to accurately recover the signal of active translation from the ribosome profiling data. Here we present our new method, RiboCode, for such purpose. Being tested with simulated and real ribosome profiling data, and validated with cell type-specific QTI-seq and mass spectrometry data, RiboCode exhibits superior efficiency, sensitivity, and accuracy for de novo annotation of the translatome, which covers various types of ORFs in the previously annotated coding and non-coding regions. As an example, RiboCode was applied to assemble the context-specific translatomes of yeast under normal and stress conditions. Comparisons among these translatomes revealed stress-activated novel upstream and downstream ORFs, some of which are associated with translational dysregulations of the annotated main ORFs under the stress conditions.

Insights from multidimensional analyses of the pan-cancer DNA methylome heterogeneity and the uncanonical CpG-gene associations.

Although the DNA methylome profiles have been available in large cancer cohorts such as The Cancer Genome Atlas (TCGA), integrative analysis of the DNA methylome architectures in a pan-cancer manner remains limited. In the present study, we aimed to systematically dissect the insightful features related to the inter-tumoral DNA methylome heterogeneity in a pan-cancer context of 21 cancers in TCGA. First, pan-cancer clustering of the DNA methylomes revealed convergence of cancers and, meanwhile, new classifications of cancer subtypes, which are often associated to prognostic differences. Next, within each type of cancer, we showed that the transcription factor (TF) genes tend to bear more dynamic promoter DNA methylation profiles than the other genes, which serves as a potential source of the transcriptome heterogeneity in cancers. Finally, we found unanticipated significant numbers of the non-canonical promoter CpG sites that are positively correlated with the gene expression. Distribution patterns of these CpG sites in the CpG islands, ChIP-seq, DNaseI-seq, PMD regions and histone modification landscapes suggested against a pervasive mechanism of transcriptional activation due to mCpG-dependent binding of TFs, which is not in complete agreement with previous hypothesis. In summary, our deep mining of the highly heterogeneous DNA methylome data in a pan-cancer context generated novel insights into the architecture of cancer epigenetics and provided a series of resources for further investigations in the related fields of cancer genomics and epigenetics.

Mutual dependency between lncRNA LETN and protein NPM1 in controlling the nucleolar structure and functions sustaining cell proliferation.

Fundamental processes such as ribosomal RNA synthesis and chromatin remodeling take place in the nucleolus, which is hyperactive in fast-proliferating cells. The sophisticated regulatory mechanism underlying the dynamic nucleolar structure and functions is yet to be fully explored. The present study uncovers the mutual functional dependency between a previously uncharacterized human long non-coding RNA, which we renamed LETN, and a key nucleolar protein, NPM1. Specifically, being upregulated in multiple types of cancer, LETN resides in the nucleolus via direct binding with NPM1. LETN plays a critical role in facilitating the formation of NPM1 pentamers, which are essential building blocks of the nucleolar granular component and control the nucleolar functions. Repression of LETN or NPM1 led to similar and profound changes of the nucleolar morphology and arrest of the nucleolar functions, which led to proliferation inhibition of human cancer cells and neural progenitor cells. Interestingly, this inter-dependency between LETN and NPM1 is associated with the evolutionarily new variations of NPM1 and the coincidental emergence of LETN in higher primates. We propose that this human-specific protein-lncRNA axis renders an additional yet critical layer of regulation with high physiological relevance in both cancerous and normal developmental processes that require hyperactive nucleoli.

Survey of the translation shifts in hepatocellular carcinoma with ribosome profiling.

Despite the critical position of translation in the multilevel gene expression regulation program, high-resolution and genome-wide view of the landscape of RNA translation in solid tumors is still limited. Methods: With a ribosome profiling procedure optimized for solid tissue samples, we profiled the translatomes of liver tumors and their adjacent noncancerous normal liver tissues from 10 patients with hepatocellular carcinoma (HCC). A set of bioinformatics tools was then applied to these data for the mining of novel insights into the translation shifts in HCC. Results: This is the first translatome data resource for dissecting dysregulated translation in HCC at the sub-codon resolution. Based on our data, quantitative comparisons of mRNA translation rates yielded the genes and processes that were subjected to patient specific or universal dysregulations of translation efficiencies in tumors. For example, multiple proteins involved in extracellular matrix organization exhibited significant translational upregulation in tumors. We then experimentally validated the tumor-promoting functions of two such genes as examples: AGRN and VWA1. In addition, the data was also used for de novo annotation of the translatomes in tumors and normal tissues, including multiple types of novel non-canonical small ORFs, which would be a resource for further functional studies. Conclusions: The present study generates the first survey of the HCC translatome with ribosome profiling, which is an insightful data resource for dissecting the translatome shift in liver cancer, at sub-codon resolution.

Dependency of the Cancer-Specific Transcriptional Regulation Circuitry on the Promoter DNA Methylome.

Dynamic dysregulation of the promoter DNA methylome is a signature of cancer. However, comprehensive understandings about how the DNA methylome is incorporated in the transcriptional regulation circuitry and involved in regulating the gene expression abnormality in cancers are still missing. We introduce an integrative analysis pipeline based on mutual information theory and tailored for the multi-omics profiling data in The Cancer Genome Atlas (TCGA) to systematically find dependencies of transcriptional regulation circuits on promoter CpG methylation profiles for each of 21 cancer types. By coupling transcription factors with CpG sites, this cancer type-specific transcriptional regulation circuitry recovers a significant layer of expression regulation for many cancer-related genes. The coupled CpG sites and transcription factors also serve as markers for classifications of cancer subtypes with different prognoses, suggesting physiological relevance of such regulation machinery recapitulated here. Our results therefore generate a resource for further studies of the epigenetic scheme in gene expression dysregulations in cancers.

Nutrient Sensing by the Intestinal Epithelium Orchestrates Mucosal Antimicrobial Defense via Translational Control of Hes1.

Metabolic programs and host defense are highly integrated to ensure proper immune responses during stress. Central to these responses, mTOR regulates immune functions by sensing and integrating environmental cues, yet how these systems are coordinated at the intestinal surface remains undefined. We show that the antimicrobial peptide α-defensin is functionally sustained during nutrient deprivation because of regulation of the defensin-processing enzyme MMP7 by microbiota- and host-derived factors. Unlike other antimicrobial peptides, the MMP7-α-defensin axis remains active during nutrient fluctuations, providing essential protection against enteric pathogens. Sustained Mmp7 expression requires the microbiota and is mediated by de-repression of the transcription activator Atoh1 upon attenuation of the transcriptional repressor Hes1 in intestinal epithelial cells. Hes1 levels are regulated via mTOR and controlled translationally, constituting a metabolism-translation-transcription loop. Disrupting this loop by supplying nutrients paradoxically compromises antibacterial defense. Together, these results uncover a regulatory circuit that couples host nutrient status to epithelial antimicrobial immunity.

Oncogenic Properties of NEAT1 in Prostate Cancer Cells Depend on the CDC5L-AGRN Transcriptional Regulation Circuit.

The long noncoding RNA nuclear-enriched abundant transcript 1 (NEAT1) has been shown to regulate multiple cancer-related cellular activities including cell proliferation, apoptosis, and migration. In this study, we confirm that repression of NEAT1 induces DNA damage, disturbs the cell cycle, and arrests the proliferation of prostate cancer cells. By taking advantage of the prostate cancer tumor transcriptome profiles from The Cancer Genome Atlas, our data-mining pipeline identified a series of transcription factors (TF) whose regulatory activities on target genes depended on the level of NEAT1. Among them was putative TF CDC5L, which bound directly to NEAT1. Silencing NEAT1 in prostate cancer cells repressed the transcriptional activity of CDC5L, and RNA-seq and ChIP-seq analyses further revealed a handful of potential targets of CDC5L regulated by NEAT1 expression. One target of CDC5L, ARGN, mediated the strong phenotypic consequences of NEAT1 reduction, including DNA damage, cell-cycle dysregulation, and proliferation arrest. In summary, we have established the requirement of the CDC5L-AGRN circuit for the essential oncogenic role of NEAT1 in prostate cancer cells.Significance: An integrative methodology uncovers CDC5L-AGRN signaling as critical to the tumor-promoting function of long noncoding RNA NEAT1 in prostate cancer cells. Cancer Res; 78(15); 4138-49. ©2018 AACR.