Quantification of Trace-Level DNA by Real-Time Whole Genome Amplification

Quantification of trace amounts of DNA is a challenge in analytical applications where the concentration of a target DNA is very low or only limited amounts of samples are available for analysis. PCR-based methods including real-time PCR are highly sensitive and widely used for quantification of low-level DNA samples. However, ordinary PCR methods require at least one copy of a specific gene sequence for amplification and may not work for a sub-genomic amount of DNA. We suggest a real-time whole genome amplification method adopting the degenerate oligonucleotide primed PCR (DOP-PCR) for quantification of sub-genomic amounts of DNA. This approach enabled quantification of sub-picogram amounts of DNA independently of their sequences. When the method was applied to the human placental DNA of which amount was accurately determined by inductively coupled plasma-optical emission spectroscopy (ICP-OES), an accurate and stable quantification capability for DNA samples ranging from 80 fg to 8 ng was obtained. In blind tests of laboratory-prepared DNA samples, measurement accuracies of 7.4%, −2.1%, and −13.9% with analytical precisions around 15% were achieved for 400-pg, 4-pg, and 400-fg DNA samples, respectively. A similar quantification capability was also observed for other DNA species from calf, E. coli, and lambda phage. Therefore, when provided with an appropriate standard DNA, the suggested real-time DOP-PCR method can be used as a universal method for quantification of trace amounts of DNA

Comparison of Proteomic and Transcriptomic Profiles in the Bronchial Airway Epithelium of Current and Never Smokers

Although prior studies have demonstrated a smoking-induced field of molecular injury throughout the lung and airway, the impact of smoking on the airway epithelial proteome and its relationship to smoking-related changes in the airway transcriptome are unclear.Airway epithelial cells were obtained from never (n = 5) and current (n = 5) smokers by brushing the mainstem bronchus. Proteins were separated by one dimensional polyacrylamide gel electrophoresis (1D-PAGE). After in-gel digestion, tryptic peptides were processed via liquid chromatography/ tandem mass spectrometry (LC-MS/MS) and proteins identified. RNA from the same samples was hybridized to HG-U133A microarrays. Protein detection was compared to RNA expression in the current study and a previously published airway dataset. The functional properties of many of the 197 proteins detected in a majority of never smokers were similar to those observed in the never smoker airway transcriptome. LC-MS/MS identified 23 proteins that differed between never and current smokers. Western blotting confirmed the smoking-related changes of PLUNC, P4HB1, and uteroglobin protein levels. Many of the proteins differentially detected between never and current smokers were also altered at the level of gene expression in this cohort and the prior airway transcriptome study. There was a strong association between protein detection and expression of its corresponding transcript within the same sample, with 86% of the proteins detected by LC-MS/MS having a detectable corresponding probeset by microarray in the same sample. Forty-one proteins identified by LC-MS/MS lacked detectable expression of a corresponding transcript and were detected in <or=5% of airway samples from a previously published dataset.1D-PAGE coupled with LC-MS/MS effectively profiled the airway epithelium proteome and identified proteins expressed at different levels as a result of cigarette smoke exposure. While there was a strong correlation between protein and transcript detection within the same sample, we also identified proteins whose corresponding transcripts were not detected by microarray. This noninvasive approach to proteomic profiling of airway epithelium may provide additional insights into the field of injury induced by tobacco exposure

Investigating the influence of Epstein-Barr virus on the p53 pathway in nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC) is a malignancy arising from the epithelial lining of nasopharynx. It is one of the most common malignancies in the southern area of China and South-East Asia. NPC is frequently reported in Sarawak, Malaysia especially in males and is endemic to certain ethnic groups, including the Bidayuh and Chinese. The development of NPC is associated with multiple factors, with one common mechanism involving persistent infection with Epstein-Barr virus (EBV). This study will aim to gain a clearer understanding regarding the mechanism of EBV influencing p53 pathway to facilitate NPC development. Mutations in p53 mutation have been associated with oncogenesis of several human malignancies, however such mutations are relatively rare in NPC and the mechanisms through which p53 in inactivated in this malignancy remain poorly understood. In this study, we study the activity of p53 in immortalised nasopharyngeal epithelial cells using nutlin-3, an MDM2 antagonist. The impact of EBV infection on the protein expression of p53 and its ability to stimulate its transcriptional target genes is studied. The proteins levels of p53 and its transcriptional activation of target genes was significantly higher in EBV-infected cells, indicating that EBV infection alone is not sufficient to attenuate the p53 pathway in a non-malignant nasopharyngeal cell line. These observations will provide the fundamental steps towards the understanding of p53 and EBV viral proteins interaction that causes NPC

Fragmentation of DNA affects the accuracy of the DNA quantitation by the commonly used methods

<p>Abstract</p> <p>Background</p> <p>Specific applications and modern technologies, like non-invasive prenatal testing, non-invasive cancer diagnostic and next generation sequencing, are currently in the focus of researchers worldwide. These have common characteristics in use of highly fragmented DNA molecules for analysis. Hence, for the performance of molecular methods, DNA concentration is a crucial parameter; we compared the influence of different levels of DNA fragmentation on the accuracy of DNA concentration measurements.</p> <p>Results</p> <p>In our comparison, the performance of the currently most commonly used methods for DNA concentration measurement (spectrophotometric, fluorometric and qPCR based) were tested on artificially fragmented DNA samples. In our comparison, unfragmented and three specifically fragmented DNA samples were used.</p> <p>According to our results, the level of fragmentation did not influence the accuracy of spectrophotometric measurements of DNA concentration, while other methods, fluorometric as well as qPCR-based, were significantly influenced and a decrease in measured concentration was observed with more intensive DNA fragmentation.</p> <p>Conclusions</p> <p>Our study has confirmed that the level of fragmentation of DNA has significant impact on accuracy of DNA concentration measurement with two of three mostly used methods (PicoGreen and qPCR). Only spectrophotometric measurement was not influenced by the level of fragmentation, but sensitivity of this method was lowest among the three tested. Therefore if it is possible the DNA quantification should be performed with use of equally fragmented control DNA.</p

Proteomic profiling of recombinant cells from large-scale mammalian cell culture processes

Global expression profiling of mammalian cells used for the production of biopharmaceuticals will allow greater insights into the molecular mechanisms that result in a high producing cellular phenotype. These studies may give insights for genetic intervention to possibly create better host cell lines or even to provide clues to more rational strategies for cell line and process development. In this review I will focus on the contribution of proteomic technologies to a greater understanding of the biology of Chinese hamster ovary cells and other producing cell lines such as NS0 mouse cells