Single Base Extension Reaction Research Articles

Elongation and Ligation-Mediated Differential Coding for Label-Free and Locus-Specific Analysis of 8-Oxo-7,8-dihydroguanine in DNA.

Oxidative DNA damage is closely associated with the occurrence of numerous human diseases and cancers. 8-Oxo-7,8-dihydroguanine (8-oxoG) is the most prevalent form of DNA damage, and it has become not only an oxidative stress biomarker but also a new epigenetic-like biomarker. However, few approaches are available for the locus-specific detection of 8-oxoG because of the low abundance of 8-oxoG damage in DNA and the limited sensitivity of existing assays. Herein, we demonstrate the elongation and ligation-mediated differential coding for label-free and locus-specific analysis of 8-oxoG in DNA. This assay is very simple without the involvement of any specific labeled probes, complicated steps, and large sample consumption. The utilization of Bsu DNA polymerase can specifically initiate a single-base extension reaction to incorporate dATP into the opposite position of 8-oxoG, endowing this assay with excellent selectivity. The introduction of cascade amplification reaction significantly enhances the sensitivity. The proposed method can monitor 8-oxoG with a limit of detection of 8.21 × 10-19 M (0.82 aM), and it can identify as low as 0.001% 8-oxoG damage from a complex mixture with excessive undamaged DNAs. This method can be further applied to measure 8-oxoG levels in the genomic DNA of human cells under diverse oxidative stress, holding prospect potential in the dynamic monitoring of critical 8-oxoG sites, early clinical diagnosis, and gene damage-related biomedical research.

Improvement of limit of detection in primer extension-based multiplexed mutation assay using capillary electrophoresis

One of the challenges in liquid biopsy for early cancer detection is ascribed to the fact that mutation DNA often represents an extremely small ratio of less than 1% compared to wild-type genes in blood. However, in conventional fragment analysis with capillary electrophoresis (CE), the detectable allele frequency could be about 5%. In this work, we developed an original reagent-based fragment analysis with single base extension (SBE) reactions for cancer-associated mutation assay using a commercially available CE device, and investigated on a possibility of improvement of limit of detection (LOD) for genetic mutation. First, after adjustment of reagent conditions for the SBE reactions, the linear relationship between gene template concentration and fluorescence intensity was obtained from 1 to 100 fmol of target genes. Next, from the results of an experiment to detect mutation EGFR L858R at abundance ratios of mutant type to wild type (100-fmol template) of 0, 1, 5, and 10%, it was shown that the target gene can be detected with LOD of 0.33%. This high sensitivity was realized in part by separating fluorescently labeled substrates into an individual tube for an each-colored SBE reaction. Moreover, mutations EGFR L858R and KRAS G12V were simultaneously detected at sensitivities equivalent to LODs of 0.57 and 0.47%, respectively. These results indicate that < 1% of mutations in multiplex gene mutations can be simultaneously detected, and that possibility suggests that the developed method can be used in clinical practice for detecting cancers.Graphical abstract

A MALDI-TOF mass spectrometry-based method for detection of copy number variations in BRCA1 and BRCA2 genes.

Background: Identifying germline mutations in BRCA1 and BRCA2 genes (BRCAs) would benefit the carriers in multiple aspects. In addition to single-nucleotide variations and small indels, copy number variations (CNVs) is also an indispensable component of identifiable mutations in BRCAs. A sensitive, rapid and throughput-flexible method to detect CNVs would be preferred to meet the rising clinical requirements for BRCAs testing. Methods: We developed a MALDI-TOF-MS-based method (MS assay) which included three steps: first, multiplex end-point PCR followed by a single base extension reaction; second, automated analyte transfer and data acquisition; third, data analysis. We applied MS assay to detect CNVs in BRCAs in 293 Chinese patients with ovarian or pancreatic cancer. All the samples were examined by targeted next-generation sequencing (TS) simultaneously. Samples were further cross-validated by multiplex ligation-dependent probe amplification (MLPA) if the results from MS assay and TS were inconsistent. Long range PCR was then applied to identify the exact breakpoints in BRCAs. Results: MS assay introduced highly multiplexed panels to detect CNVs of BRCAs semi-quantitatively. Simplified on-board data analysis was available for MS assay and no complex bioinformatics was needed. The turnaround time of MS assay was less than 8hours with a hands-on time of only 40min. Compared to TS, MS assay exhibited higher sensitivity (100% vs. 75%) and was more flexible in throughput, with the reagent cost per sample remaining constant no matter how many samples were examined per assay. A total of eight CNVs in BRCAs were detected from the 293 samples, and the molecular breakpoints were successfully identified in five samples through long-range PCR followed by Sanger sequencing. Conclusion: Our results suggested that MS assay might be an effective method in primary screening for CNVs in genes such as BRCAs, especially when short turnaround time and/or high sensitivity is a top priority.

Detection of doping control sample substitutions via single nucleotide polymorphism-based ID typing.

The authenticity of a doping control sample is a key element of sports drug testing programmes. Doping control sample manipulation by providing another individual's urine or blood (instead of the tested athlete's sample) has been observed in the past and is an unequivocal violation of the World Anti-Doping Agency anti-doping rules. To determine attempts of manipulations by sample swapping, the utility of a single nucleotide polymorphism (SNP)-based sample authentication with a multi-target SNP panel was assessed. The panel comprises detection assays for 44 different SNPs, 3 gender markers and 5 quality control markers for DNA-profile determination. Sample analysis is based on a multiplex polymerase chain reaction step followed by a multiplex single base extension (SBE) reaction and subsequent SBE-product detection by MALDI-TOF MS. Panel performance was evaluated for urine and dried blood spot (DBS) samples. Urine (8ml) and DBS (20 μl) test samples were reliably typed and matched to whole blood reference samples, while efficient typing of urine samples correlated with sample quality and input amounts. Robust profiling of urine doping control specimens was confirmed with an assay input of 12 ml. Samples can be processed in a high-throughput format with an overall assay turnaround time of approximately 11 h. SNP-based DNA typing via MALDI-TOF MS thus represents a high throughput-capable possibility for doping control sample authentication. SNP profiling of samples could offer the opportunity to complement existing steroid profile analytics to substantiate sample manipulations and to support quality control processes in high throughput routine settings.

Construction and evaluation of in-house methylation-sensitive SNaPshot system and three classification prediction models for identifying the tissue origin of body fluid.

The identification of tissue origin of body fluid can provide clues and evidence for criminal case investigations. To establish an efficient method for identifying body fluid in forensic cases, eight novel body fluid-specific DNA methylation markers were selected in this study, and a multiplex singlebase extension reaction (SNaPshot) system for these markers was constructed for the identification of five common body fluids (venous blood, saliva, menstrual blood, vaginal fluid, and semen). The results indicated that the in-house system showed good species specificity, sensitivity, and ability to identify mixed biological samples. At the same time, an artificial body fluid prediction model and two machine learning prediction models based on the support vector machine (SVM) and random forest (RF) algorithms were constructed using previous research data, and these models were validated using the detection data obtained in this study (n=95). The accuracy of the prediction model based on experience was 95.79%; the prediction accuracy of the SVM prediction model was 100.00% for four kinds of body fluids except saliva (96.84%); and the prediction accuracy of the RF prediction model was 100.00% for all five kinds of body fluids. In conclusion, the in-house SNaPshot system and RF prediction model could achieve accurate tissue origin identification of body fluids.

Detection of 13 Hypervariable Region 1 (Hv1) SNPs using single-base extension (Sbe) primers in parallel with Sanger sequencing

The aim of this study was to determine whether single-base extension (SBE) chemistry can be applied to forensic practice of testing the target single nucleotide polymorphisms (SNPs) of the mitochondrial DNA (mtDNA) Hypervariable Region 1 (HV1). Despite itsweak discrimination power, high copy number of mtDNA per cell and its stability against degradation guarantee mtDNA testing a place in modern forensic genetics. In this research, buccal swab samples were obtained from 294 individuals from Bosnia and Herzegovina. Following DNA isolation using QIAamp® DNA Mini Kit, full sequencing of HV1 was completed using chain-termination Sanger sequencing method. SBE reactions were then performed by targeting 13 SNPs that were identified to be the most frequent in the study population. Uniplex SBE reactions for each individual SNP, as well as two multiplex reactions were prepared for both pure and mixed samples. The results showed complete agreement of the Sanger sequencing results with SBE reactions for both uniplex and multiplex reactions. The results obtained with SBE were encouraging in regard to multiplexing and processing of the mixed samples, since the allele of the minor contributor to the sample was observed in SBE electropherogram in all prepared mixtures. SBE method is limited by the fact that only target SNPs of interest will be analyzed, meaning that they must be carefully selected and curated for each population. However, typing with SBE protocol is accurate, as compared to the golden standard of Sanger sequencing, but was more time- and labor-efficient and simpler to analyze, therefore offering a suitable alternative when Sanger sequencing is not available, given that polymorphic SNPs are known for the population of interest.

Optimizing Multiplex PCR for a Set of Malay Ancestry Informative Marker-Single Nucleotide Polymorphisms (AIM-SNPs) and Preliminary Analysis of Genotypes Between Malay and non-Malay Population.

Background: Inference of genetic ancestry is of great interest in many fields and one of the markers in these analyses is ancestry informative marker single nucleotide polymorphisms (AIMSNPs). The Malay population is an ethnic group located mainly in South East Asia and comprises the largest ethnicity in Malaysia.&#x0D; Objectives: To determine Malay ancestry, Yahya et al, 2017 selected 37,487 SNPs from the genotyping data collected by the Malaysian Node of the Human Variome Project and Singapore Genome Variation Project and referenced them against the data from the International HapMap Project Phase 3. The SNPs determined to be informative for ancestry were compiled into AIM-SNP panels, and from these a few SNPs were selected for optimization in preparation for single base extension reaction multiplexing.&#x0D; Methodology: The chosen AIMSNPs were optimized and validated on Malay and non-Malay populations. Genotyping was carried out on participants of self-reported Malay and non-Malay ancestry respectively and the data were compared for Malay and non-Malay population to investigate for significant differences in the genotype between Malay and non-Malay participants.&#x0D; Findings: The results showed great similarities between the Malay and non-Malay population, which may arise from many factors, and further optimization of more SNPs and genotyping is required to definitively conclude the validity of the AIM-SNP panels for Malay population&#x0D; Conclusion: Knowledge of ancestry is important to minimise spurious association. This pilot study gives a brief account of the optimization process and offers an insight into how this may be done in South East Asian populations.

A Rapid, Visible, and Highly Sensitive Method for Recognizing and Distinguishing Invasive Fungal Infections via CCP-FRET Technology.

Invasive fungal infection (IFI) is one of the leading causes of death in the intensive care unit (ICU) due to its high morbidity and mortality among immunocompromised patients. Early diagnosis of IFI is typically infeasible because of the lack of clinical signs and symptoms. By virtue of the cationic conjugated polymer-based fluorescence resonance energy transfer (CCP-FRET) technology, we develop a rapid, visible, simple, and sensitive method for simultaneous detection and discrimination of three types of pathogens, including Candida albicans (C.albicans), Klebsiella pneumoniae (K.pneumoniae), and Cryptococcus neoformans (C.neoformans). The CCP-FRET system contains a CCP fluorescent probe and pathogen-specific DNA labeled with fluorescent dyes. These two components spontaneously self-assemble into the complex under electrostatic attraction, resulting in an efficient FRET from CCP to fluorescent dyes when irradiated with a 380 nm ultraviolet (UV) light. The CCP-FRET method can specifically identify the DNA molecules that are extracted from culture pathogen strains or blood samples via PCR and single base extension (SBE) reactions, without any cross-reactions on the DNA of nonspecific strains. In particular, the sensitivity of this method is down to 0.03125 ng, which is ten times higher than that of real-time PCR. We further evaluate its detection efficiency by testing 15 blood samples from neonatal patients who suffer from pathogen infections, in which some of them have undergone antipathogen treatments. Using the CCP-FRET method, 33.3% (5/15) of samples tested positive for C.albicans and/or K.pneumoniae infections, whereas no pathogen DNAs are recognized with real-time PCR, despite using the same primers. Interestingly, the CCP-FRET method can output unique fluorescent color as well as RGB patterns to different types of pathogen infections, by which the infection type can be conveniently determined. Collectively, the CCP-FRET method is a sensitive and reliable detection platform for rapid identification of fungal and bacterial multiple infections, holding great promise for uses in clinical testing.

Risk of sudden coronary death based on genetic background in Chinese Han population.

Associations between gene variations and sudden cardiac arrest or coronary artery disease have been reported by genome-wide association studies. However, the implication of the genetic status in cases of sudden coronary death (SCD) from the Chinese Han population has remained to be investigated. The present study established a mini-sequencing system to examine putative death-causing single nucleotide polymorphisms (SNPs) using multiplex PCR, single base extension reaction and capillary electrophoresis techniques. A total of 198 samples from the Chinese Han population (age range, 34-71 years; mean age, 53.86 years) were examined using this method. Samples were classified into three groups: Coronary heart disease (CHD, n=70), SCD (n=53) and control (n=75) group. Significant associations were identified for 10, 4 and 6 SNPs in CHD, SCD and sudden death from CHD, respectively, using the χ2 test. The SNPs obtained by binary logistic regression may be used to assess and predict the risk of disease. The predictive accuracy of the SNPs in each prediction model and their area under the receiver operating characteristic curve (AUC) values were determined. The AUC of the four SNPs (rs12429889, rs10829156, rs16942421 and rs12155623) to predict CHD was 0.928, the AUC of the six SNPs (rs2389202, rs2982694, rs10183640, rs597503, rs16942421 and rs12155623) to predict SCD was 0.922 and the AUC of the four SNPs (rs16866933, rs4621553, rs10829156 and rs12155623) to predict sudden death from CHD was 0.912. The multifactor dimensionality reduction values were as follows: 0.8690 (prediction model of CHD), 0.7601 (prediction model of SCD) and 0.7628 (prediction model of sudden death from CHD). Taken together, the results of the present study suggested that these SNPs have considerable potential for application in genetic tests to predict CHD or SCD. However, further studies are required to investigate the putative functions of these SNPs.

Development of a multiplex methylation-sensitive restriction enzyme-based SNP typing system for deconvolution of semen-containing mixtures.

The identification of mixed stains has always been a difficult problem in personal identification in the forensic field. In recent years, tissue-specific methylation sites have proven to be very stable biomarkers for distinguishing tissue origin. However, it is still challenging to perform tissue source identification and individual identification simultaneously. In this study, we developed a method that uses tissue-specific methylation markers combined with single-nucleotide polymorphism (SNP) markers to detect semen from mixed biofluids and to identify individuals simultaneously. Semen-specific CpG markers were chosen from the literature and further validated utilizing methylation-sensitive restriction endonuclease (MSRE) combined with PCR technology. The neighboring SNP markers were searched in the flanking sequence of the target CpG within 400bp, and SNP typing was then carried out through a single-base extension reaction followed by capillary electrophoresis. Eventually, a method of MSRE combined with SNaPshot that could detect 12 compound CpG-SNP markers was developed. Using this system, 10ng of total DNA and DNA mixture with semen content up to 25% could be typed successfully. Moreover, the cumulative discrimination power of the system in the northern Chinese Han population is 0.9998. This study provides a valuable strategy for forensic practice to perform tissue origin and individual identification from mixed stains simultaneously.

Major histocompatibility complex class II polymorphic variants are associated with asthma predisposition in the Punjabi population of Lahore, Pakistan.

Various genome wide association studies have manifested that Major Histocompatibility Complex (MHC) region on chromosome 6p21 houses many potential candidate genes for asthma. This Case-Control association study was planned to determine the association of 10 Single Nucleotide Polymorphisms (SNPs), residing within and around MHC genes' region on chromosome 6p21, with Asthma in Punjabi population of Lahore, Pakistan. A total of 161 subjects, 61 physician-diagnosed asthma patients and 100 age-matched healthy controls, were recruited from Lahore, a city in Punjab. Ten single nucleotide polymorphisms (SNPs) (rs9378249, rs2070600, rs404860, rs6689, rs1049124, rs1063355, rs1049225, rs1049219, rs7773955 and rs928976) located within or near AGER, NOTCH and HLA genes in MHC region, were genotyped in both patients and controls using single base extension reaction and capillary electrophoresis-based genetic analyser. Statistical models were applied using SHEsis Plus. Results were adjusted for various cofactors (age, gender and environment) and by applying multiple corrections. Haplotype and linkage disequilibrium analyses were performed on Haploview software v4.1. Three of the studied SNPs rs1049124, rs1049219 and rs7773955 show independent significant association with asthma under allelic and genotypic models. Two of the haplotypes, H7 and H13, "CTAATTT" and "CCACTAT", respectively, for rs2070600, rs404860, rs6689, rs1049124, rs1063355, rs1049219 and rs7773955, are found to be significantly associated with the disease. This study reports association of SNP variants residing on HLA-DQB1 and HLA-DQA2 genes and haplotypes H7 and H13 on genomic region 6p21 with Asthma in the Punjabi population of Lahore, Pakistan.

A method of identifying the blood contributor in mixture stains through detecting blood-specific mRNA polymorphism.

In the past decades, messenger RNA (mRNA) biomarkers have been employed to identify the origin of body fluids in forensic medicine. We hypothesized that the polymorphism of mRNA could be applied to identify individuals in mixture samples composed of two body fluids. In this study, we selected five blood-specific mRNA biomarkers of venous blood (SPTB, CD3G, AMICA1, ANK1, and GYPA) that encompass 16 SNPs to identify the mixture contributor(s). Five specific gene markers for menstrual blood, semen, skin, saliva, and vaginal secretions were amplified and typed as body-fluid positive controls. We established the system of multiplex PCR and single base extension (SBE) reaction followed by CE. The amplicon size was between 90bp and 294bp. The peripheral blood specificity was examined against other human body fluids, including saliva, semen, skin, menstrual blood, and vaginal secretion. The 16 SNPs were peripheral blood specific and could be successfully typed in homemade mixtures which are composed of different body fluids with 1 ng peripheral blood mRNA added. This system showed a supersensitivity (1:100) in detecting the trace amount of peripheral blood mixed in other body fluids and a combined discrimination power (CDP) of 0.99929 in Chinese population. It was the first time to establish a method for identifying the blood donors and deconvoluting mixtures through detecting mRNA polymorphism with SNaPshot assay. This peripheral blood specific SNP typing system showed high sensitivity to the typing of blood source specific markers regardless of other body fluids in the mixture.

A unique common ancestor introduced P301L mutation in MAPT gene in frontotemporal dementia patients from Barcelona (Baix Llobregat, Spain)

The County of Baix Llobregat (Barcelona, Catalonia, Spain) presents a high prevalence of familial frontotemporal dementia (FTD) in the presence of P301L mutation in the MAPT gene. To evaluate a possible unique founder effect of P301L, and its age, the analysis of 20 single-nucleotide polymorphisms covering 50 kb and 12 single-nucleotide polymorphisms located along 30 Mb around the mutation was performed by developing 2 multiplex single-base extension reactions. In addition, families with affected and healthy individuals from France and Italy were analyzed. The FTD-affected individuals from Barcelona carried the same 50-kb haplotype linked to P301L mutation, suggesting a unique common ancestor, as opposed to French patients. Italian patients are also probably descendants of a unique ancestor, which would be different from that of Barcelona. Diversity of 30-Mb haplotypes found in Barcelona and the inference of the mutation age in these populations, among other reasons, suggest that prevalence of FTD linked to P301L MAPT mutation is the result of a locally originated mutation.

Comparative Analysis of Two Methods for the Detection of EGFR Mutations in Plasma Circulating Tumor DNA from Lung Adenocarcinoma Patients.

Mutations in the epidermal growth factor receptor (EGFR) are associated with various solid tumors. This study aimed to compare two methods for the detection of EGFR mutations in circulating tumor DNA (ctDNA) from lung adenocarcinoma (LUAD) patients and to evaluate the clinical significance of EGFR mutations in ctDNA. In this prospective cohort study, the EGFR mutation status of 77 patients with stage IIIB or IV LUAD was first determined using lung cancer tissue. The amplification refractory mutation system (ARMS) and single allele base extension reaction combined with mass spectroscopy (SABER/MassARRAY) methods were also used to detect EGFR mutations in plasma ctDNA from these patients and then compared using the EGFR mutation status in lung cancer tissue as a standard. Furthermore, the relationship between the presence of EGFR mutations in ctDNA after receiving first-line EGFR-tyrosine kinase inhibitor (EGFR-TKI) therapy and survival was evaluated. The overall sensitivity and specificity for the detection of EGFR mutations in plasma ctDNA by ARMS and SABER/MassARRAY were 49.1% vs. 56% and 90% vs. 95%, respectively. The agreement level between these methods was very high, with a kappa-value of 0.88 (95% CI 0.77–0.99). Moreover, 43 of the patients who carried EGFR mutations also received first-line EGFR-TKI therapy. Notably, patients with EGFR mutations in plasma ctDNA had significantly shorter progression-free survival (9.0 months, 95% CI 7.0–11.8, vs. 15.0 months, 95% CI 11.7–28.2; p = 0.02) and overall survival (30.6 months, 95% CI 12.4–37.2, vs. 55.6 months, 95% CI 25.8–61.8; p = 0.03) compared to those without detectable EGFR mutations. The detection of EGFR mutations in plasma ctDNA is a promising, minimally invasive, and reliable alternative to tumor biopsy, and the presence of EGFR mutations in plasma ctDNA after first-line EGFR-TKI therapy is associated with poor prognosis.

Is There a Correlation Between Single Nucleotide Polymorphisms and a Greater Susceptibility of the Achilles Tendon Rupture?

IntroductionAchilles tendon (AT) rupture may occur as a sport injury or at rest, what creates a significant burden of expensive surgeries and considerable recovery time. Many factors may contribute to the AT's rupture, such as e.g. nicotine, steroids or renal disease. Notwithstanding, genetic factors, poorly researched in the past, might be associated with a greater predisposition for tendinopathy. Single nucleotide polymorphisms (SNPs) may discern possible predispositions towards certain conditions. Genes known to influence the tendon biomechanical properties include: matrix metallopeptidase 1 (MMP1), matrix metallopeptidase 1 (MMP3), as well as COL5A1, and COL12A1.AimThis study aimed to evaluate the correlation between the specific SNPs and the biomechanical properties of the AT, analysed by the stress test.Materials and methods50 ATs were acquired from 25 male patients. The DNA from the specimens was extracted using Xpure Genomic Mini. The PCR primers were designed using Primer3Plus computer software to enable simultaneous amplification of 5 amplicons covering DNA variants: rs970547, rs240736 in COL12A1, rs12722 in COL5A1, rs1799750 in MMP1 and rs3025058 in MMP3. The purified PCR products were subjected to single base extension reactions using the SNaPshot protocol. The products of these reactions were purified with FastAP Thermosensitive Alkaline Phosphatase and analysed on a Genetic Analyzer using the protocol for SNP analysis. The biomechanical analysis of the ATs involved their careful separation into 3 subtendons that were then evaluated using the INSTRON® tension testing machine configured with a 10kN maximum capacity load cell. The stiffness of the AT samples was evaluated in terms of its Young's modulus, calculated from the strain curves. The study protocol was approved by the local Ethics Committee in accordance with the 1964 Declaration of Helsinki and its later amendments.ResultsHaving performed the genetic and biomechanical analysis, a strong relationship between the SNPs and the greater durability of the ATs was found in terms of the rs240736 and the rs1799750 polymorphisms. Some relationship was also noted in case of the rs3025058, but its significance remains unclear and requires further research. None of the other SNPs studied provided any statistically significant results for the correlation.ConclusionsTo the best knowledge of the authors, this is the first study that shows correlation between the SNPs and biomechanical properties of the AT (in terms of the rs240736 and the rs1799750 with the greater durability of the AT). Such genetic studies might serve to identificate predispositions towards the AT rupture and enabling genetically‐driven studies to improve the patient care.Support or Funding InformationThis study was supported by “The Best of the Best! (Najlepszy z Najlepszych!)” Grant of the Polish Ministry of Science and Higher Education.This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

A Simple and Highly Specific MassARRAY-Based Stool DNA Assay to Prioritize Follow-up Decisions in Fecal Immunochemical Test-Positive Individuals.

Background: Seventy-five percent of fecal immunochemical test (FIT)-positive individuals are false positives and undergo unnecessary colonoscopies. Here, we established a stool DNA (sDNA) test that uses the Single Allele Base Extension Reaction (SABER) MassARRAY platform to improve the accuracy of FIT-based CRC detection. Methods: Twenty-one variants in five CRC-associated genes were selected for the sDNA panel. Cell line DNA and matched mutation-confirmed tissue and stool samples from 34 patients were used for accuracy assessment (cohort 1). The clinical performance of the sDNA assay was further evaluated in 101 independent FIT-positive stool samples (cohort 2). Results: In cohort 1, we obtained a 62% mutation concordance rate in paired tissue and stool samples of the CRC group, regardless of the FIT status. In cohort 2, 100% specificity in normal controls with positive FIT results was observed. By weighting the FIT value and the presence of a given variant type in stool and then summing the two scores, we found that a one-increment increase in the score was associated with a 4.538-fold risk (95% CI = 2.121–9.309) for malignancy in the FIT-positive setting. Conclusions: Our highly specific sDNA assay can help prioritize the most at-risk FIT-positive persons to receive prompt colonoscopic confirmation of CRC.

An isothermal single base extension based lateral flow biosensor and electrochemical assay for gene point mutation detection

In this proof-of-concept study, an isothermal single base extension (SBE) reaction was developed for simple and fast amplification of mutations.

A collaborative exercise on DNA methylation based body fluid typing.

A collaborative exercise on DNA methylation based body fluid identification was conducted by seven laboratories. For this project, a multiplex methylation SNaPshot reaction composed of seven CpG markers was used for the identification of four body fluids, including blood, saliva, semen, and vaginal fluid. A total of 30 specimens were prepared and distributed to participating laboratories after thorough testing. The required experiments included four increasingly complex tasks: (1) CE of a purified single-base extension reaction product, (2) multiplex PCR and multiplex single-base extension reaction of bisulfite-modified DNA, (3) bisulfite conversion of genomic DNA, and (4) extraction of genomic DNA from body fluid samples. In tasks 2, 3 and 4, one or more mixtures were analyzed, and specimens containing both known and unknown body fluid sources were used. Six of the laboratories generated consistent body fluid typing results for specimens of bisulfite-converted DNA and genomic DNA. One laboratory failed to set up appropriate conditions for capillary analysis of reference single-base extension products. In general, variation in the values obtained for DNA methylation analysis between laboratories increased with the complexity of the required experiments. However, all laboratories concurred on the interpretation of the DNA methylation profiles produced. Although the establishment of interpretational guidelines on DNA methylation based body fluid identification has yet to be performed, this study supports the addition of DNA methylation profiling to forensic body fluid typing.

Colorimetric SNP genotyping utilizing colloidal stability of double-stranded DNA-functionalized gold nanoparticles having a dangling end

Event Abstract Back to Event Colorimetric SNP genotyping utilizing colloidal stability of double-stranded DNA-functionalized gold nanoparticles having a dangling end Yoshitsugu Akiyama1, 2, Hiroto Shikagawa1, Shota Shiraishi1, Guoqing Wang1, Naoki Kanayama1, Tohru Takarada1 and Mizuo Maeda1 1 RIKEN, Bioengineering Laboratory, Japan 2 Tokyo University of Science, Faculty of Industrial Science and Technology, Japan Introduction: Facile and reliable analytical methods to discriminate single nucleotide polymorphisms (SNPs) are of great importance for the realization of personalized medicine. We have already reported a colorimetric SNP genotyping method using salt-induced, non-crosslinking aggregation of double-stranded DNA-modified gold nanoparticles (dsDNA-GNPs)[1]. To develop a more reliable method, the present study exploited a large difference in colloidal stability of dsDNA-GNPs with and without a dangling end is described (Figure 1). Experimental: According to a reported procedure[1], GNP with a diameter of 15 nm was functionalized with 16-nucleotide (nt) ssDNA. The base sequence of ssDNA was designed to be complementary to an SNP typing primer. A chemically synthesized fragment (56 base pairs) of the cytochrome P450 2C19*2 gene including the SNP site (G→A) was used as a model target. Single base extension of the 16-nt typing primer for the SNP site was carried out with the model target, DNA polymerase, and each ddNTP. To this reaction solution was added ssDNA-GNP (final conc. 5 nM) and NaCl (final conc. 1 M). The as-prepared mixture was incubated for 10 min at room temperature to induce non-crosslinking aggregation. The color change attributed to a surface plasmon resonance shift was detected with the naked eye. Results and Discussion: When the single base extension reaction using the model target of a homozygous mutant (the SNP site: T) in the presence of ddATP, ddGTP, or ddCTP, the distinct color change from red to purple through non-crosslinking aggregation of dsDNA-GNP was observed (Figure 1, left). This is due to the formation of fully matched dsDNA between ssDNA on the GNP surface and the unextended 16-nt typing primer. On the other hand, it showed no color change (red) with ddTTP (Figure 1, right), because the dsDNA having a dangling end was formed on the surface with the single-base-extended 17-nt typing primer, leading to the nanoparticle’s dispersion by the entropic repulsion. In addition, the corresponding color changes were also obtained when using the model target of the homozygous wild-type gene, as well as that of the heterozygous gene[2]. Conclusion: Colorimetric SNP genotyping of the cytochrome P450 2C19*2 gene by unique colloidal stability of dsDNA-GNP with a dangling end was successfully demonstrated. It will be potentially achievable to develop a clinical sample analysis. This work was supported by a Grant-in-Aid for Scientific Research (S) (No. 25220204) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan, and by a Grant for Molecular Systems Research provided by RIKEN.

MALDI-TOF-MS Assay to Detect the Hemizygous 22q11.2 Deletion in DNA from Dried Blood Spots.

A hemizygous deletion of 1.5-3 Mb in 22q11.2 causes a distinct clinical syndrome with variable congenital defects. Current diagnostic methods use fluorescent in situ hybridization (FISH) or comparative genomic hybridization by microarray to detect the deletion. Neither method is suitable for newborn screening (NBS), since they cannot be performed on dried blood spots (DBS). We developed a MALDI-TOF-MS assay that uses DBS to measure the hemizygous deletion of UFD1L, located within the 22q11.2 region. We used DBS from 54 affected patients, previously tested by FISH or microarray, and 100 cord blood samples to evaluate the performance of the MALDI-TOF-MS assay. With a single primer pair, a 97-base oligonucleotide within UFD1L was amplified, as was a sequence on chromosome 18 that differs by 2 nucleotides. A multiplexed, single-base extension reaction created allele-specific products for MALDI-TOF-MS detection. The products were spotted onto a silicon chip, and the height of the spectral peaks identified the relative amounts of target and reference gene. The median ratio of the spectral peak for each UFD1L target:reference base was 0.96 and 0.99 for controls, compared with 0.35 and 0.53 for 22q11 deletion syndrome patients. There was 100% concordance between FISH/microarray and MALDI-TOF-MS in all patients with 22q11.2 deletion syndrome. This method can be reliably performed with DBS and is suitable for high sample throughput. This assay may be considered for use in population-based NBS for 22q11.2 deletion.