On a new proposed mechanism of 5-fluorouracil-mediated cytotoxicity

The major molecular mode of action of the cytotoxic drug 5-fluorouracil (5-FU) is generally considered to result from thymidylate synthase inhibition. Recent findings relating to the function of the human uracil-5 methyltransferase (U5MT), TRMT2A, and its interaction with 5-FU metabolites incorporated within tRNAs, lead to an additional hypothesis that is proposed here

A new conceptual framework for investigating complex genetic disease

Some common diseases are known to have an inherited component, however their population- and familial-incidence patterns do not conform to any known monogenic Mendelian pattern of inheritance and instead they are currently much better explained if an underlying polygenic architecture is posited. Studies that have attempted to identify the causative genetic factors have been designed on this polygenic framework, but so far the yield has been largely unsatisfactory. Based on accumulating recent observations concerning the roles of somatic mosaicism in disease, in this article a second framework which posits a single gene-two hit model which can be modulated by a mutator/anti-mutator genetic background is suggested. I discuss whether such a model can be considered a viable alternative based on current knowledge, its advantages over the current polygenic framework, and describe practical routes via which the new framework can be investigated

Catalytic crosslinking-based methods for enzyme-specified profiling of RNA ribonucleotide modifications

Well over a hundred types of naturally occurring covalent modifications can be made to ribonucleotides in RNA molecules. Moreover, several types of such modifications are each known to be catalysed by multiple enzymes which largely appear to modify distinct sites within the cellular RNA. In order to aid functional investigations of such multi-enzyme RNA modification types in particular, it is important to determine which enzyme is responsible for catalysing modification at each site. Two methods, Aza-IP and methylation-iCLIP, were developed and used to map genome-wide locations of methyl-5-cytosine (m5C) RNA modifications inherently in an enzyme specific context. Though the methods are quite distinct, both rely on capturing catalytic intermediates of RNA m5C methyltransferases in a state where the cytosine undergoing methylation is covalently crosslinked to the enzyme. More recently the fundamental methylation-iCLIP principle has also been applied to map methyl-2-adenosine sites catalysed by the E. coli RlmN methylsynthase. Here I describe the ideas on which the two basic methods hinge, and summarise what has been achieved by them thus far. I also discuss whether and how such principles may be further exploited for profiling of other RNA modification types, such as methyl-5-uridine and pseudouridine

Native RNA-Sequencing Throws its Hat into the Transcriptomics Ring

De novo sequence-level surveys of transcriptomes have previously relied on sequencing via a DNA intermediate. While such methods can yield massive data sets, various problems mean that these do not always accurately reflect the true innate composition of transcriptomes. Enter Garalde et al., who present for the first time highly parallel native RNA-Sequencing (RNA-seq), with potentially disruptive future-implications for the transcriptomics field

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system [version 3; referees: 2 approved]

Background: The ability to obtain long read lengths during DNA sequencing has several potentially important practical applications. Especially long read lengths have been reported using the Nanopore sequencing method, currently commercially available from Oxford Nanopore Technologies (ONT). However, early reports have demonstrated only limited levels of combined throughput and sequence accuracy. Recently, ONT released a new CsgG pore sequencing system as well as a 250b/s translocation chemistry with potential for improvements. Methods: We made use of such components on ONTs miniature ‘MinION’ device and sequenced native genomic DNA obtained from the near haploid cancer cell line HAP1. Analysis of our data was performed utilising recently described computational tools tailored for nanopore/long-read sequencing outputs, and here we present our key findings. Results: From a single sequencing run, we obtained ~240,000 high-quality mapped reads, comprising a total of ~2.3 billion bases. A mean read length of 9.6kb and an N50 of ~17kb was achieved, while sequences mapped to reference with a mean identity of 85%. Notably, we obtained ~68X coverage of the mitochondrial genome and were able to achieve a mean consensus identity of 99.8% for sequenced mtDNA reads. Conclusions: With improved sequencing chemistries already released and higher-throughput instruments in the pipeline, this early study suggests that ONT CsgG-based sequencing may be a useful option for potential practical long-read applications with relevance to complex genomes

A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs

Most methods for statistical analysis of RNA-seq data take a matrix of abundance estimates for some type of genomic features as their input, and consequently the quality of any obtained results is directly dependent on the quality of these abundances. Here, we present the junction coverage compatibility score, which provides a way to evaluate the reliability of transcript-level abundance estimates and the accuracy of transcript annotation catalogs. It works by comparing the observed number of reads spanning each annotated splice junction in a genomic region to the predicted number of junction-spanning reads, inferred from the estimated transcript abundances and the genomic coordinates of the corresponding annotated transcripts. We show that although most genes show good agreement between the observed and predicted junction coverages, there is a small set of genes that do not. Genes with poor agreement are found regardless of the method used to estimate transcript abundances, and the corresponding transcript abundances should be treated with care in any downstream analyses

Analysis of CLIP and iCLIP methods for nucleotide-resolution studies of protein-RNA interactions.

UV cross-linking and immunoprecipitation (CLIP) and individual-nucleotide resolution CLIP (iCLIP) are methods to study protein-RNA interactions in untreated cells and tissues. Here, we analyzed six published and two novel data sets to confirm that both methods identify protein-RNA cross-link sites, and to identify a slight uridine preference of UV-C-induced cross-linking. Comparing Nova CLIP and iCLIP data revealed that cDNA deletions have a preference for TTT motifs, whereas iCLIP cDNA truncations are more likely to identify clusters of YCAY motifs as the primary Nova binding sites. In conclusion, we demonstrate how each method impacts the analysis of protein-RNA binding specificity.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6.

The highly abundant N6-methyladenosine (m6A) RNA modification affects most aspects of mRNA function, yet the precise function of the rarer 5-methylcytidine (m5C) remains largely unknown. Here, we map m5C in the human transcriptome using methylation-dependent individual-nucleotide resolution cross-linking and immunoprecipitation (miCLIP) combined with RNA bisulfite sequencing. We identify NSUN6 as a methyltransferase with strong substrate specificity towards mRNA. NSUN6 primarily targeted three prime untranslated regions (3'UTR) at the consensus sequence motif CTCCA, located in loops of hairpin structures. Knockout and rescue experiments revealed enhanced mRNA and translation levels when NSUN6-targeted mRNAs were methylated. Ribosome profiling further demonstrated that NSUN6-specific methylation correlated with translation termination. While NSUN6 was dispensable for mouse embryonic development, it was down-regulated in human tumours and high expression of NSUN6 indicated better patient outcome of certain cancer types. In summary, our study identifies NSUN6 as a methyltransferase targeting mRNA, potentially as part of a quality control mechanism involved in translation termination fidelity