Abstract The 5’ cap, catalyzed by RNA guanylyltransferase and 5’-phosphatase (RNGTT), is a vital mRNA modification for the functionality of mRNAs. mRNA capping occurs in the nucleus for the maturation of the functional mRNA and in the cytoplasm for fine-tuning gene expression. Given the fundamental importance of RNGTT in mRNA maturation and expression there is a need to further investigate the regulation of RNGTT. N6-methyladenosine (m 6 A) is one of the most abundant RNA modifications involved in the regulation of protein translation, mRNA stability, splicing, and export. We sought to investigate whether m 6 A could regulate the expression and activity of RNGTT. A motif for the m 6 A writer methyltransferase 3 (METTL3) in the 3’UTR of RNGTT mRNA was identified. Knockdown of METTL3 resulted in destabilizing RNGTT mRNA, and reduced protein expression. Sequencing of capped mRNAs identified an underrepresentation of ribosomal protein mRNA overlapping with 5’ terminal oligopyrimidine (TOP) mRNAs and genes are dysregulated when cytoplasmic capping is inhibited. Pathway analysis identified disruptions in the mTOR and p70S6K pathways. A reduction in RPS6 mRNA capping, protein expression, and phosphorylation was detected with METTL3 knockdown.
<div>Abstract<p>Understanding the rewired metabolism underlying organ-specific metastasis in breast cancer could help identify strategies to improve the treatment and prevention of metastatic disease. Here, we used a systems biology approach to compare metabolic fluxes used by parental breast cancer cells and their brain- and lung-homing derivatives. Divergent lineages had distinct, heritable metabolic fluxes. Lung-homing cells maintained high glycolytic flux despite low levels of glycolytic intermediates, constitutively activating a pathway sink into lactate. This strong Warburg effect was associated with a high ratio of lactate dehydrogenase (LDH) to pyruvate dehydrogenase (PDH) expression, which correlated with lung metastasis in patients with breast cancer. Although feature classification models trained on clinical characteristics alone were unable to predict tropism, the LDH/PDH ratio was a significant predictor of metastasis to the lung but not to other organs, independent of other transcriptomic signatures. High lactate efflux was also a trait in lung-homing metastatic pancreatic cancer cells, suggesting that lactate production may be a convergent phenotype in lung metastasis. Together, these analyses highlight the essential role that metabolism plays in organ-specific cancer metastasis and identify a putative biomarker for predicting lung metastasis in patients with breast cancer.</p>Significance:<p>Lung-homing metastatic breast cancer cells express an elevated ratio of lactate dehydrogenase to pyruvate dehydrogenase, indicating that ratios of specific metabolic gene transcripts have potential as metabolic biomarkers for predicting organ-specific metastasis.</p></div>
The Human Genome Project led to the discovery that about 80% of our DNA is transcribed in RNA molecules. Only 2% of the human genome is translated into proteins, the rest mostly produces molecules called non-coding RNAs, which are a heterogeneous class of RNAs involved in different steps of gene regulation. They have been classified, according to their length, into small non-coding RNAs and long non-coding RNAs, or to their function, into housekeeping non-coding RNAs and regulatory non-coding RNAs. Their involvement has been widely demonstrated in all cellular processes, as well as their dysregulation in human pathologies. In this review, we discuss the function of non-coding RNAs in endometrial physiology, analysing their involvement in embryo implantation. Moreover, we explore their role in endometrial pathologies such as endometrial cancer, endometriosis and chronic endometritis.
Despite the unprecedented growth in our understanding of cell biology, it still remains challenging to connect it to experimental data obtained with cells and tissues’ physiopathological status under precise circumstances. This knowledge gap often results in difficulties in designing validation experiments, which are usually labor-intensive, expensive to perform, and hard to interpret. Here we propose PHENSIM, a computational tool using a systems biology approach to simulate how cell phenotypes are affected by the activation/inhibition of one or multiple biomolecules, and it does so by exploiting signaling pathways. Our tool’s applications include predicting the outcome of drug administration, knockdown experiments, gene transduction, and exposure to exosomal cargo. Importantly, PHENSIM enables the user to make inferences on well-defined cell lines and includes pathway maps from three different model organisms. To assess our approach’s reliability, we built a benchmark from transcriptomics data gathered from NCBI GEO and performed four case studies on known biological experiments. Our results show high prediction accuracy, thus highlighting the capabilities of this methodology. PHENSIM standalone Java application is available at https://github.com/alaimos/phensim , along with all data and source codes for benchmarking. A web-based user interface is accessible at https://phensim.tech/ .
Summary Breast cancers can metastasize to many organs. But how do disseminated cells from a primary tumor adapt to distal tissues? Here we combined metabolomics, flux measurements, and mathematical modeling to study metabolic fluxes in breast cancer cells adapted to home to different organs. We found that lung-homing cells maintain high glycolytic flux despite low levels of glycolytic intermediates, by constitutively activating a pathway sink into lactate. Their distinct behavior—a strong Warburg effect—has a gene expression signature: a high ratio of lactate dehydrogenase to pyruvate dehydrogenase gene expression, which also correlates with lung metastases in patients with breast cancer. Surprisingly, this strong Warburg effect does not necessarily increase cellular growth rate, suggesting that lactate secretion may be a trait under selection in lung metastasis. Our results stress that metabolic fluxes may not correlate with metabolic intermediates, a finding relevant for metastatic tropism.
Type I IFNs orchestrate the antiviral response. Interestingly, IFNA1 and IFNB1 genes are naturally intronless. Based on previous work, the splicing factor U2 Associated Factor 65 (U2AF65), encoded by U2AF2, and pre-mRNA Processing factor 19 (Prp19) function on the Cytoplasmic Accumulation Region Elements (CAR-E), affecting the nuclear export of intronless genes. We have previously shown that the loss of IWS1 phosphorylation by AKT3, promotes the alternative RNA splicing of U2AF2, resulting in novel transcripts lacking exon 2. This exon encodes part of the Serine-Rich (RS) domain of U2AF65, which is responsible for its binding with Prp19. Here, we show that IWS1 phosphorylation and the U2AF2 RNA splicing pattern affect the nuclear export of introless mRNAs. We also demonstrate that the same axis is required for the proper function of the CAR-Es. Mechanistically, whereas both U2AF65 isoforms bind CAR-E, the recruitment of Prp19 occurs only in cells expressing phosphorylated IWS1, promoting intronless genes export. Moreover, analysis of Lung adenocarcinoma patients showed that high p-IWS1 activity correlates with the assembly of the U2AF65/Prp19 complex and export of intronless genes, in vivo. Accordingly, the expression of type I IFNs was decreased in cells deficient in IWS1 phosphorylation and the viral infection was increased. Furthermore, following infection with oncolytic virus, we observed reduced activation of p-STAT1 and expression of Interferon Stimulated Genes (ISG), in cells stimulated by shIWS1-derived supernatant, or cells treated with the pan-AKT inhibitor, MK2206. Consistently, killing curves and apoptosis assays after infection with oncolytic viruses, revealed increased susceptibility upon the loss of IWS1, with subsequent activation of Caspase-mediated death. The treatment of the lung adenocarcinoma cells with MK2206, phenocopied the loss of IWS1 phosphorylation. These data identify a novel mechanism by which the AKT/p-IWS1 axis, by hijacking the epigenetic regulation of RNA splicing and processing, contributes to the resistance to oncolytic viral infection, suggesting that combined inhibition of the splicing machinery and AKT/p-IWS1 signals would sensitize tumors to oncolytic viral treatment.
228 Background: Colorectal cancer is the 3rd most diagnosed and 2nd leading cause of cancer death. Despite the decline in incidence late-onset colorectal cancer (LOCRC), there is an increase in early onset of colorectal cancer (EORC). Clinicopathologic examinations from single centers revealed left-sided and rectal enrichment, poorly differentiated, and higher stage at presentation. Genomic studies examining the potential germline mutations/variants for EOCRC demonstrated mixed results. Transcriptomic analysis of the EOCRC compared to LOCRC remains limited. We hypothesized that EOCRC present with enrichment in aggressive molecular signatures consisting of CMS4 and iCMS3 signatures. To understand the mechanism behind EOCRC, we performed an unbiased RNA-Seq analysis in age groups of 32-82 in 95 patients. Methods: We utilized RNA-Seq data from the Orien Network, a collaborative between 19 NCI/NCCN cancer centers. We identified 95 patients diagnosed with colorectal cancer ranging in age from 32-82 and undergone RNA-sequencing of their primary tumors. Clinicopathologic assessment were analogously performed. We collected unnormalized raw-count RNA-Seq data from these patients. To account for differences in sequencing depth across samples, raw counts were scaled using the Reads Per Million (RPM) formula. The scaled reads in RPM were then utilized to assess the Consensus Molecular Subtypes (CMS) classification through two distinct approaches: the R package CMScaller and a deconvolution analysis using the R package SpatialDecon with the iCMS gene signature. Differences in age at the sample collection across patients with different CMS classifications were assessed by performing two-tailed unpaired T-tests. Additionally, differential expression analysis between EOCRC and LOCRC patients, defined by the upper and lower quartiles of the patients’ ages at the sample collection, was conducted using the LIMMA R package. Results: Clinicopathologic assessment of the primary tumors revealed left-sided tumors with poorly differentiated phenotype. Differential gene expression analysis between EOCRC and LOCRC demonstrated no significant differences. Stratification of transcriptomic data by decades also did not reveal any significant differences. Furthermore, there were no differences in CMS or iCMS classifications between different age groups. Conclusions: The RNA-Seq analysis comparing EOCRC and LOCRC did not identify any differential gene expression patterns. There was no significant differences were observed in CMS or iCMS classifications. These findings suggest that EOCRC and LOCRC share similar tumor biology based on molecular phenotypes. This implies that the initiating events for the disease may occur earlier in life while triggering a same disease process. As such, the findings underscores the importance of considering preventive measures, including earlier colonoscopy screenings.
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