Whole human genome 5'-mC methylation analysis using long read nanopore sequencing.

Methylation microarray and bisulphite sequencing are often used to study 5'-methylcytosine (5'-mC) modification of CpG dinucleotides in the human genome. Although both technologies produce trustworthy results, the evaluation of the methylation status of CpG sites suffers from the potential side effects of DNA modification by bisulphite and/or the ambiguity of mapping short reads in repetitive and highly homologous genomic regions, respectively. Nanopore sequencing is an attractive alternative for the study of 5'-mC since it allows sequencing of native DNA molecules, whereas the long reads produced by this technology help to increase the resolution of those genomic regions. In this work, we show that nanopore sequencing with 10X coverage depth, using DNA from a human cell line, produces 5'-mC methylation frequencies consistent with those obtained by 450k microarray, digital restriction enzyme analysis of methylation, and reduced representation bisulphite sequencing. High correlation between methylation frequencies obtained by nanopore sequencing and the other methodologies was also noticeable in either low or high GC content regions, including CpG islands and transcription start sites. We also showed that a minimum of five reads per CpG yields strong correlations (>0.89) in replicate nanopore sequencing runs and an almost uniform linearity of the methylation frequency variation between zero and one. Furthermore, nanopore sequencing was able to correctly display methylation frequency patterns based on genomic annotations of CpG regions. These results demonstrate that nanopore sequencing is a fast, robust, and reliable approach to the study of 5'-mC in the human genome with low coverage depth.

Instability of mRNA expression signatures of drug transporters in chronic myeloid leukemia patients resistant to imatinib.

Despite the success of imatinib mesylate (IM) in the treatment of chronic myeloid leukemia (CML), approximately 30% of patients are resistant to therapy, mostly due to unknown causes. To profile the expression signatures of drug transporters throughout IM therapy and correlate them with resistance, we quantified mRNA expression levels of the SLC22A12, ABCB1, ABCC1, ABCG2 and MVP genes in consecutive samples from peripheral blood or bone marrow of CML patients who were either responsive or resistant to IM. Additionally we identified and quantified BCR-ABL1 transcript variants and analyzed 1236T>C ABCB1 and 480G>C SLC22A1 polymorphisms. A relationship between the type of BCR-ABL1 transcript or ABCB1 or SLC22A1 genotype and response to treatment was not discovered. However, the studied genes had higher expression levels in follow-up compared to the diagnostic samples, demonstrating a possible induction in expression. IM-sensitive patients presented significantly higher values of SLC22A1 expression, suggesting higher drug influx. Most importantly, while responding patients demonstrated stable expression signatures in consecutive samples, there was considerable variation in IM-resistant patients, indicating that single point sampling expression signatures are not reliable in predicting clinical outcomes or prognostic features in these patients. Studies that assessed consecutive samples from CML patients in order to evaluate the variation in expression levels of transporter genes are limited yet our study emphasizes the importance of such approaches.