Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy.

BACKGROUND: Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to gemcitabine-based chemotherapy treatment outcome in Singaporean non-small cell lung cancer (NSCLC) patients. METHODS: Using a pathway approach that incorporates comprehensive protein-protein interaction data to systematically extend the gemcitabine pharmacologic pathway, we identified 77 related nsSNPs, common in the Singaporean population. After that, we used five computational criteria to prioritize the SNPs based on their importance for protein function. We specifically selected and screened six candidate SNPs in a patient cohort with NSCLC treated with gemcitabine-based chemotherapy. RESULT: We performed survival analysis followed by hematologic toxicity analyses and found that three of six candidate SNPs are significantly correlated with the patient outcome (P < 0.05) i.e. ABCG2 Q141K (rs2231142), SLC29A3 S158F (rs780668) and POLR2A N764K (rs2228130). CONCLUSIONS: Our computational SNP candidate enrichment workflow approach was able to identify several high confidence biomarkers predictive for personalized drug treatment outcome while providing a rationale for a molecular mechanism of the SNP effect. TRIAL REGISTRATION: NCT00695994. Registered 10 June, 2008 'retrospectively registered'.

Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing.

Exosomes are nanosized (30-100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein coding RNAs. A number of cancer cells produce elevated levels of exosomes. Because exosomes have been isolated from most body fluids they may provide a source for non-invasive cancer diagnostics. Transcriptome profiling that uses deep-sequencing technologies (RNA-Seq) offers enormous amount of data that can be used for biomarkers discovery, however, in case of exosomes this approach was applied only for the analysis of small RNAs. In this study, we utilized RNA-Seq technology to analyze RNAs present in microvesicles secreted by human breast cancer cell lines. Exosomes were isolated from the media conditioned by two human breast cancer cell lines, MDA-MB-231 and MDA-MB-436. Exosomal RNA was profiled using the Ion Torrent semiconductor chip-based technology. Exosomes were found to contain various classes of RNA with the major class represented by fragmented ribosomal RNA (rRNA), in particular 28S and 18S rRNA subunits. Analysis of exosomal RNA content revealed that it reflects RNA content of the donor cells. Although exosomes produced by the two cancer cell lines shared most of the RNA species, there was a number of non-coding transcripts unique to MDA-MB-231 and MDA-MB-436 cells. This suggests that RNA analysis might distinguish exosomes produced by low metastatic breast cancer cell line (MDA-MB-436) from that produced by highly metastatic breast cancer cell line (MDA-MB-231). The analysis of gene ontologies (GOs) associated with the most abundant transcripts present in exosomes revealed significant enrichment in genes encoding proteins involved in translation and rRNA and ncRNA processing. These GO terms indicate most expressed genes for both, cellular and exosomal RNA. For the first time, using RNA-seq, we examined the transcriptomes of exosomes secreted by human breast cancer cells. We found that most abundant exosomal RNA species are the fragments of 28S and 18S rRNA subunits. This limits the number of reads from other RNAs. To increase the number of detectable transcripts and improve the accuracy of their expression level the protocols allowing depletion of fragmented rRNA should be utilized in the future RNA-seq analyses on exosomes. Present data revealed that exosomal transcripts are representative of their cells of origin and thus could form basis for detection of tumor specific markers.

Dimethyl sulfoxide has an impact on epigenetic profile in mouse embryoid body.

Dimethyl sulfoxide (DMSO), an amphipathic molecule, is widely used not only as a solvent for water-insoluble substances but also as a cryopreservant for various types of cells. Exposure to DMSO sometimes causes unexpected changes in cell fates. Because mammalian development and cellular differentiation are controlled epigenetically by DNA methylation and histone modifications, DMSO likely affects the epigenetic system. The effects of DMSO on transcription of three major DNA methyltransferases (Dnmts) and five well-studied histone modification enzymes were examined in mouse embryonic stem cells and embryoid bodies (EBs) by reverse transcription-polymerase chain reaction. Addition of DMSO (0.02%-1.0%) to EBs in culture induced an increase in Dnmt3a mRNA levels with increasing dosage. Increased expression of two subtypes of Dnmt3a in protein levels was confirmed by Western blotting. Southern blot analysis revealed that DMSO caused hypermethylation of two kinds of repetitive sequences in EBs. Furthermore, restriction landmark genomic scanning, by which DNA methylation status can be analyzed on thousands of loci in genic regions, revealed that DMSO affected DNA methylation status at multiple loci, inducing hypomethylation as well as hypermethylation depending on the genomic loci. In conclusion, DMSO has an impact on the epigenetic profile: upregulation of Dnmt3a expression and alteration of genome-wide DNA methylation profiles with phenotypic changes in EBs.

Epigenetic characterization of the CpG islands of bovine Leptin and POU5F1 genes in cloned bovine fetuses.

Abnormal development and fetal loss during postimplantation period are concerns for production of nuclear transferred animals. Aberrant DNA methylation is one of the reasons for poor survival of cloned animals. In mammalian genome DNA, CpG islands are preferentially located at the start of transcription of housekeeping genes and are associated with tissue-specific genes. The correct and consecutive mechanisms of DNA methylation in the CpG islands are necessary for selective gene expressions that determine the properties of individual cells, tissues, and organs. In this study, we investigated the methylation status of the CpG islands of the bovine Leptin and POU5F1 genes in fetal and placental tissues from fetuses produced by artificial insemination (AI) and nuclear transfer (NT) at days 48 and 59 of pregnancy. Altered DNA methylation was observed in the normal and cloned fetal, placental, and endometrial tissues using bisulfite sequencing and pyrosequencing. Different tissue-specific methylated regions in the bovine Leptin and POU5F1 genes show a variable methylation status in NT fetuses compared to AI control.

DNA methylation profiles of donor nuclei cells and tissues of cloned bovine fetuses.

Methylation of DNA in CpG islands plays an important role during fetal development and differentiation because CpG islands are preferentially located in upstream regions of mammalian genomic DNA, including the transcription start site of housekeeping genes and are also associated with tissue-specific genes. Somatic nuclear transfer (NT) technology has been used to generate live clones in numerous mammalian species, but only a low percentage of nuclear transferred animals develop to term. Abnormal epigenetic changes in the CpG islands of donor nuclei after nuclear transfer could contribute to a high rate of abortion during early gestation and increase perinatal death. These changes have yet to be explored. Thus, we investigated the genome-wide DNA methylation profiles of CpG islands in nuclei donor cells and NT animals. Using Restriction Landmark Genomic Scanning (RLGS), we showed, for the first time, the epigenetic profile formation of tissues from NT bovine fetuses produced from cumulus cells. From approximately 2600 unmethylated NotI sites visualized on the RLGS profile, at least 35 NotI sites showed different methylation statuses. Moreover, we proved that fetal and placental tissues from artificially inseminated and cloned cattle have tissue-specific differences in the genome-wide methylation profiles of the CpG islands. We also found that possible abnormalities occurred in the fetal brain and placental tissues of cloned animals.

Genome-wide analysis of DNA methylation status of CpG islands in embryoid bodies, teratomas, and fetuses.

Differentiation of embryonic stem (ES) cells into embryoid bodies (EBs) provides an in vitro system for the study of early lineage determination during mammalian development. We have previously reported that there are 247 CpG islands that potentially have tissue-dependent and differentially methylated regions (T-DMRs). This provided evidence that the formation of DNA methylation patterns at CpG islands is a crucial epigenetic event underlying mammalian development. Here we present an analysis by the restriction landmark genomic scanning (RLGS) using NotI as a landmark enzyme of the genome-wide methylation status of CpG islands of ES cells and EBs and of teratomas produced from ES cells. These results are considered in relation to the methylation status of CpG islands of genomic DNA from normal fetus (10.5dpc) and adult tissues. We have prepared a DNA methylation panel that consists of 259 T-DMRs and includes novel T-DMRs that are distinctly methylated or unmethylated in the teratomas. The DNA methylation pattern was complex and differed for the ES cells, EBs, and teratomas, providing evidence that differentiation of cells involves both de novo DNA methylation as well as demethylation. Comparison of the numbers of T-DMRs, that were differentially methylated or unmethylated among the cells and tissue types studied, revealed that the teratomas were the most epigenetically different from ES cells. Thus, analysis of the DNA methylation profiles prepared in this study provides new insights into the differentiation of ES cells and development of fetus, EB, teratoma, and somatic tissues.