Mutation detection by real-time PCR: a simple, robust and highly selective method

Thermodynamics and Kinetics-Directed Regulation of Nucleic Acid-Based Molecular Recognition

Nucleic acid-based molecular recognition plays crucial roles in various fields like biosensing and disease diagnostics. To achieve optimal detection and analysis, it is essential to regulate the response performance of nucleic acid probes or switches to match specific application requirements by regulating thermodynamics and kinetics properties. However, the impacts of thermodynamics and kinetics theories on recognition performance are sometimes obscure and the relative conclusions are not intuitive. To promote the thorough understanding and rational utilization of thermodynamics and kinetics theories, this review focuses on the landmarks and recent advances of nucleic acid thermodynamics and kinetics and summarizes the nucleic acid thermodynamics and kinetics-based strategies for regulation of nucleic acid-based molecular recognition. This work hopes such a review can provide reference and guidance for the development and optimization of nucleic acid probes and switches in the future, as well as for advancements in other nucleic acid-related fields.

KRAS mutations detection methodology: from RFLP to CRISPR/Cas based methods

In personalized cancer medicine, the identification of KRAS mutations is essential for making treatment decisions and improving patient outcomes. This work presents a comprehensive review of the current approaches for detection of KRAS mutations in different cancers. We highlight the value of fast and reliable KRAS mutations discovery and the effectiveness of molecular testing for selecting individuals who might benefit from targeted therapy. We provide an overview of various methods and tools available for detecting KRAS mutations, such as digital droplet PCR, next-generation sequencing (NGS), and polymerase chain reaction (PCR). We also address the difficulties and limitations in the identification of KRAS mutations, namely tumor heterogeneity and the emergence of resistance mechanisms. This article aims to guide clinicians in KRAS mutation identification.

Genotyping Zebrafish Point Mutant by Allele-Specific Blocking PCR

Genotyping zebrafish carrying wild-type, heterozygous, or homozygous copies of a mutant allele is often required for investigating gene specific functions, and is routinely performed to differentiate point mutants. In this study, we describe a modified allele-specific PCR method using an additional blocking primer to promote target sequence amplification while suppressing sequences with single mismatch. Using the tp53m214k point mutant as an example, we show that wild-type, heterozygous, and homozygous zebrafish can be easily distinguished using this simple PCR method, which could be widely adapted for genotyping zebrafish with point mutations or small nucleotide insertions/deletions.

Pan-cancer discovery of somatic mutations from RNA sequencing data

Identification of somatic mutations (SMs) is essential for characterizing cancer genomes. While DNA-seq is the prevalent method for identifying SMs, RNA-seq provides an alternative strategy to discover tumor mutations in the transcribed genome. Here, we have developed a machine learning based pipeline to discover SMs based on RNA-seq data (designated as RNA-SMs). Subsequently, we have conducted a pan-cancer analysis to systematically identify RNA-SMs from over 8,000 tumors in The Cancer Genome Atlas (TCGA). In this way, we have identified over 105,000 novel SMs that had not been reported in previous TCGA studies. These novel SMs have significant clinical implications in designing targeted therapy for improved patient outcomes. Further, we have combined the SMs identified by both RNA-seq and DNA-seq analyses to depict an updated mutational landscape across 32 cancer types. This new online SM atlas, OncoDB ( https://oncodb.org ), offers a more complete view of gene mutations that underline the development and progression of various cancers.

Identification of DNA variants at ultra-low variant allele frequencies via Taq polymerase cleavage of wild-specific blockers

Detecting mutations related to tumors holds immense clinical significance for cancer diagnosis and treatment. However, the presence of highly redundant wild DNA poses a challenge for the advancement of low-copy mutant ctDNA genotyping in cancer cases. To address this, a Taqman qPCR strategy to identify rare mutations at low variant allele fractions (VAFs) has been developed. This strategy combines mutant-specific primers with wild-specific blockers. Diverging from other blocker-mediated PCRs, which rely on primer-induced strand displacement or the use of modified oligos resistant to Taq polymerase, our innovation is built upon the cleavage of specific blockers by Taq polymerase. Given its unique design, which does not hinge on strand displacement or base modification, we refer to this novel method as unmodified-blocker cleavage PCR (UBC-PCR). Multiple experiments consistently confirmed that variant distinction was improved significantly by introduction of 5' unmatched blockers into the reaction. Moreover, UBC-PCR successfully detected mutant DNA at VAFs as low as 0.01% across six different variant contexts. Multiplex UBC-PCR was also performed to identify a reference target and three mutations with a sensitivity of 0.01% VAFs in one single tube. In profiling the gene status from 12 lung cancer ctDNA samples and 22 thyroid cancer FNA DNA samples, UBC-PCR exhibited a 100% concordance rate with ddPCR and a commercial ARMS kit, respectively. Our work demonstrates that UBC-PCR can identify low-abundance variants with high sensitivity in multiplex reactions, independent of strand displacement and base modification. This strategy holds the potential to significantly impact clinical practice and precision medicine.

Highly Sensitive Enrichment of Low-Frequency Variants by Hairpin Competition Amplification

Gene mutations are inevitably accumulated in cells of the human body. It is of great significance to detect mutations at the earliest possible time in physiological and pathological processes. However, genotyping low-copy tumor DNA (ctDNA) in patients is challenging due to abundant wild DNA backgrounds. One novel strategy to enrich rare mutations at low variant allele fractions (VAFs) with quantitative polymerase chain reaction (qPCR) and Sanger sequencing was contrived by introducing artificial hairpins into amplicons to compete with primers, coined as the hairpin competition amplification (HCA) system. The influence imposed by artificial hairpins on primer-binding in a high-temperature PCR system was investigated for the first time in this work, paving the way for the optimization of HCA. HCA differs from the previously reported work in which hairpins are formed to inhibit extension of wild-type DNA using 5-exonuclease-negative polymerase, where the readout is dependent on melting curve analysis after asymmetric PCR. Targeted at six different variants, HCA qPCR and HCA Sanger-enriched mutant DNA at VAFs as low as 0.1 or 0.01% were performed. HCA demonstrated advantages in multiplex reaction and temperature robustness. In profiling gene status from 12 lung cancer ctDNA samples and 16 thyroid cancer FNA DNA samples, HCA demonstrated a 100% concordance rate compared to ddPCR and commercial ARMS kit. HCA qPCR and Sanger sequencing can enrich low-abundance variants with high sensitivity and temperature robustness, presenting a novel and effective tool for precision diagnosis and treatment of rare variant diseases.

Plasma Exosome Analysis for Protein Mutation Identification Using a Combination of Raman Spectroscopy and Deep Learning

Protein mutation detection using liquid biopsy can be simply performed periodically, making it easy to detect the occurrence of newly emerging mutations rapidly. However, it has low diagnostic accuracy since there are more normal proteins than mutated proteins in body fluids. To increase the diagnostic accuracy, we analyzed plasma exosomes using nanoplasmonic spectra and deep learning. Exosomes, a promising biomarker, are abundant in plasma and stably carry intact proteins originating from mother cells. However, the mutated exosomal proteins cannot be detected sensitively because of the subtle changes in their structure. Therefore, we obtained Raman spectra that provide molecular information about structural changes in mutated proteins. To extract the unique features of the protein from complex Raman spectra, we developed a deep-learning classification algorithm with two deep-learning models. Consequently, controls with wild-type proteins and patients with mutated proteins were classified with high accuracy. As a proof of concept, we discriminated the lung cancer patients with mutations in the epidermal growth factor receptor (EGFR), L858R, E19del, L858R + T790M, and E19del + T790M, from controls with an accuracy of 0.93. Moreover, the protein mutation status of the patients with primary (E19del, L858R) and secondary (+T790M) mutations was clearly monitored. Overall, our technique is expected to be applied as a novel method for companion diagnostic and treatment monitoring.

Bibliometric analysis of real-time PCR-based pathogen detection in plant protection research: a comprehensive study

Introduction

The discovery of RT-PCR-based pathogen detection and gene expression analysis has had a transformative impact on the field of plant protection. This study aims to analyze the global research conducted between 2001 and 2021, focusing on the utilization of RT-PCR techniques for diagnostic assays and gene expression level studies. By retrieving data from the 'Dimensions' database and employing bibliometric visualization software, this analysis provides insights into the major publishing journals, institutions involved, leading journals, influential authors, most cited articles, and common keywords.

Methods

The 'Dimensions' database was utilized to retrieve relevant literature on RT-PCR-based pathogen detection. Fourteen distinct search queries were employed, and the resulting dataset was analyzed for trends in scholarly publications over time. The bibliometric visualization software facilitated the identification of major publishing journals, institutions, leading journals, influential authors, most cited articles, and common keywords. The study's search query was based on the conjunction 'AND', ensuring a comprehensive analysis of the literature.

Results

The analysis revealed a significant increase in the number of scholarly publications on RT-PCR-based pathogen detection over the years, indicating a growing interest and investment in research within the field. This finding emphasizes the importance of ongoing investigation and development, highlighting the potential for further advancements in knowledge and understanding. In terms of publishing journals, Plos One emerged as the leading journal, closely followed by BMC Genomics and Phytopathology. Among the highly cited journals were the European Journal of Plant Pathology, BMC Genomics, and Fungal Genetics and Biology. The publications with the highest number of citations and publications were associated with the United Nations and China. Furthermore, a network visualization map of co-authorship analysis provided intriguing insights into the collaborative nature of the research. Out of 2,636 authors analyzed, 50 surpassed the level threshold, suggesting active collaboration among researchers in the field.

Discussion

Overall, this bibliometric analysis demonstrates that the research on RT-PCR-based pathogen detection is thriving. However, there is a need for further strengthening using modern diagnostic tools and promoting collaboration among well-equipped laboratories. The findings underscore the significance of RT-PCR-based pathogen detection in plant protection and highlight the potential for continued advancements in this field. Continued research and collaboration are vital for enhancing knowledge, developing innovative diagnostic tools, and effectively protecting plants from pathogens.

An innovative single-base extension method for synchronous detection of point mutations and MSI status in colorectal cancer

BACKGROUND

An accurate genotyping analysis is one of the critical prerequisites for patients with colorectal cancer receiving matched therapies. Conventional genotyping analysis is currently used to detect either gene mutations or MSI status, delaying the detection of critical tumor biomarkers and thus the optimal time for treatment. An assay that analyzes both biomarkers in a streamlined process is eagerly needed.

METHODS

We developed an assay combining Multiplex PCR Amplification, Single-base Extension and capillary electrophoresis (CE) analysis (MASE-CE) for synchronous detection of KRAS/NRAS/BRAF mutations and MSI status. In a 190 colorectal cancer cohort, we identified seven somatic mutations in KRAS, NRAS and BRAF as well as five MSI loci (D2S123/D5S346/D17S250/BAT-25/BAT-26) simultaneously. KRAS/NRAS/BRAF mutations were detected by NGS and MASE-CE, and MSI status were detected by PCR-CE and MASE-CE methods.

RESULTS

The MASE-CE method showed high consistency with NGS for mutation detection (Kappa value ≥0.8) and PCR-CE (Kappa value = 0.79). In addition, the limits of detection (LOD) of MASE-CE assay for MSI and somatic mutation were 5% and 2%, respectively.

CONCLUSIONS

In somatic mutation detection and MSI detection, the LOD of MASE-CE assay was superior to that of qPCR and NGS. MASE-CE assay is a highly sensitive, time-saving and specimen-saving method, which can greatly avoid the cumbersome testing process and provide clinical decision for doctors in time.

Real-Time Polymerase Chain Reaction: Current Techniques, Applications, and Role in COVID-19 Diagnosis

Successful detection of the first SARS-CoV-2 cases using the real-time polymerase chain reaction (real-time PCR) method reflects the power and usefulness of this technique. Real-time PCR is a variation of the PCR assay to allow monitoring of the PCR progress in actual time. PCR itself is a molecular process used to enzymatically synthesize copies in multiple amounts of a selected DNA region for various purposes. Real-time PCR is currently one of the most powerful molecular approaches and is widely used in biological sciences and medicine because it is quantitative, accurate, sensitive, and rapid. Current applications of real-time PCR include gene expression analysis, mutation detection, detection and quantification of pathogens, detection of genetically modified organisms, detection of allergens, monitoring of microbial degradation, species identification, and determination of parasite fitness. The technique has been used as a gold standard for COVID-19 diagnosis. Modifications of the standard real-time PCR methods have also been developed for particular applications. This review aims to provide an overview of the current applications of the real-time PCR technique, including its role in detecting emerging viruses such as SARS-CoV-2.

Translational proteomics and phosphoproteomics: Tissue to extracellular vesicles

We are currently experiencing a rapidly developing era in terms of translational and clinical medical sciences. The relatively mature state of nucleic acid examination has significantly improved our understanding of disease mechanism and therapeutic potential of personalized treatment, but misses a large portion of phenotypic disease information. Proteins, in particular phosphorylation events that regulates many cellular functions, could provide real-time information for disease onset, progression and treatment efficacy. The technical advances in liquid chromatography and mass spectrometry have realized large-scale and unbiased proteome and phosphoproteome analyses with disease relevant samples such as tissues. However, tissue biopsy still has multiple shortcomings, such as invasiveness of sample collection, potential health risk for patients, difficulty in protein preservation and extreme heterogeneity. Recently, extracellular vesicles (EVs) have offered a great promise as a unique source of protein biomarkers for non-invasive liquid biopsy. Membranous EVs provide stable preservation of internal proteins and especially labile phosphoproteins, which is essential for effective routine biomarker detection. To aid efficient EV proteomic and phosphoproteomic analyses, recent developments showcase clinically-friendly EV techniques, facilitating diagnostic and therapeutic applications. Ultimately, we envision that with streamlined sample preparation from tissues and EVs proteomics and phosphoproteomics analysis will become routine in clinical settings.

Competitive SNP-LAMP probes for rapid and robust single-nucleotide polymorphism detection

In this work, we developed a simple and robust assay to rapidly detect SNPs in nucleic acid samples. Our approach combines loop-mediated isothermal amplification (LAMP)-based target amplification with fluorescent probes to detect SNPs with high specificity. A competitive "sink" strand preferentially binds to non-SNP amplicons and shifts the free energy landscape to favor specific activation by SNP products. We demonstrated the broad utility and reliability of our SNP-LAMP method by detecting three distinct SNPs across the human genome. We also designed an assay to rapidly detect highly transmissible severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants from crude biological samples. This work demonstrates that competitive SNP-LAMP is a powerful and universal method that could be applied in point-of-care settings to detect any target SNP with high specificity and sensitivity. We additionally developed a publicly available web application for researchers to design SNP-LAMP probes for any target sequence of interest.

Mass spectrometric detection of KRAS protein mutations using molecular imprinting

Cancer is a disease of cellular evolution where single base changes in the genetic code can have significant impact on the translation of proteins and their activity. Thus, in cancer research there is significant interest in methods that can determine mutations and identify the significant binding sites (epitopes) of antibodies to proteins in order to develop novel therapies. Nano molecularly imprinted polymers (nanoMIPs) provide an alternative to antibodies as reagents capable of specifically capturing target molecules depending on their structure. In this study, we used nanoMIPs to capture KRAS, a critical oncogene, to identify mutations which when present are indicative of oncological progress. Herein, coupling nanoMIPs (capture) and liquid chromatography-mass spectrometry (detection), LC-MS has allowed us to investigate mutational assignment and epitope discovery. Specifically, we have shown epitope discovery by generating nanoMIPs to a recombinant KRAS protein and identifying three regions of the protein which have been previously assigned as epitopes using much more time-consuming protocols. The mutation status of the released tryptic peptide was identified by LC-MS following capture of the conserved region of KRAS using nanoMIPS, which were tryptically digested, thus releasing the sequence of a non-conserved (mutated) region. This approach was tested in cell lines where we showed the effective genotyping of a KRAS cell line and in the plasma of cancer patients, thus demonstrating its ability to diagnose precisely the mutational status of a patient. This work provides a clear line-of-sight for the use of nanoMIPs to its translation from research into diagnostic and clinical utility.

Demonstration of a Superior Deep-UV Surface-Enhanced Resonance Raman Scattering (SERRS) Substrate and Single-Base Mutation Detection in Oligonucleotides

In life science, rapid mutation detection in oligonucleotides is in a great demand for genomic and medical screening. To satisfy this demand, surface-enhanced resonance Raman spectroscopy (SERRS) in the deep-UV (DUV) regime offers a promising solution due to its merits of label-free nature, strong electromagnetic confinement, and charge transfer effect. Here, we demonstrate an epitaxial aluminum (Al) DUV-SERRS substrate that resonates effectively with the incident Raman laser and the ss-DNA at 266 nm, yielding significant SERRS signals of the detected analytes. For the first time, to the best of our knowledge, we obtaine SERRS spectra for all bases of oligonucleotides, not only revealing maximum characteristic Raman peaks but also recording the highest enhancement factor of up to 10⁶ for a 1 nm thick adenine monomer. Moreover, our epitaxial Al DUV-SERRS substrate is able to enhance the Raman signal of all four bases of 12-mer ss-DNA and to further linearly quantify the single-base mutation in the 12-mer ss-DNA.

A Sensitive PCR-Based Method for Somatic Mutations Enrichment and Screening

Background

EGFR and KRAS are the most frequently mutated genes in lung cancers, occurring in about 60% of all cases. Mutation genes assay has emerged as a promising blood-based biomarker for monitoring cancer dynamics noninvasively. However, detection can be challenging in patients where plasma often contains low levels of tumor-derived DNA fragments.

Methods

We have developed a nuclease-based enrichment assay for detecting mutant alleles. The procedure is based on Surveyor endonuclease cleaves mismatched DNA molecules, and these DNA fragments were enriched for mutation screening. We screened lung cancer specimens for mutations in exons 18 and 21 of EGFR, and the majority of activating mutations in lung cancer occur in codons 12 (G12X) and 13 (G13X) of exon 2 of the KRAS gene. The method screened all mutant genes with the same pair primers and three relevant TaqMan probes.

Results

The method can effectively remove wild-type sequences and enrich mutation DNA, and the sensitivity detectable mutant allele frequencies (MAF) achieved 0.001%. The method increases the sensitivity and efficiency of mutation DNA for cancers screening. This highlights the importance of complex DNA variation like mutations in exon 21 of EGFR and exon 2 of the KRAS gene detected by the same probe.

Conclusion

We developed a simple and sensitive methodology for mutation gene screening. The method is a cost-effective and sensitive method for mutation DNA enrichment and detection.

Mismatch-introduced DNA probes constructed on the basis of thermodynamic analysis enable the discrimination of single nucleotide variants

Genotyping of single nucleotide variants (SNVs) has enabled the assessment of disease-related risk factors and significantly improved the potency of diagnosis and prognosis. Meanwhile, genotyping of SNVs is challenging due to the high sequence similarity between wild-type (WT) and SNV. To increase the discrimination between WT and SNV, probes are modified with nucleic acid analogues such as locked nucleic acid (LNA), or deliberate mismatches are introduced to the probe sequence. However, nucleic acid analogues have limitation in high cost and complexity in their synthesis. And a generalized methodology has not been proposed for determining the position and type of deliberate mismatches at the designated experimental conditions to the best of our knowledge. Herein, we propose a reliable workflow for designing mismatch-introduced probes (MIPs) based on nucleic acid thermodynamic analysis and rejection sampling. The theoretical hybridization state of MIP was calculated using nucleic acid thermodynamics, and the detectability was estimated by rejection sampling that simulates the errors from experimental environments. We fabricated MIPs for SNVs in epidermal growth factor receptor, and experimentally demonstrated optimized detectability. The detectability increased up to 7.19-fold depending on the position and type of mismatch; moreover, the optimized MIP showed higher detectability than the LNA probe. This indicates that the workflow can be broadly applied to the optimization of probe sequence for the detection of various disease-related SNVs.

Design of InnoPrimers-Duplex Real-Time PCR for Detection and Treatment Response Prediction of EBV-Associated Nasopharyngeal Carcinoma Circulating Genetic Biomarker

Nasopharyngeal carcinoma (NPC) is an epithelial tumor with high prevalence in southern China and Southeast Asia. NPC is well associated with the Epstein-Barr virus (EBV) latent membrane protein 1 (LMP1) 30 bp deletion by having its vital role in increased tumorigenicity and decreased immune recognition of EBV-related tumors. This study developed an InnoPrimers-duplex qPCR for detection of NPC blood circulating LMP1 30 bp deletion genetic biomarker for early diagnosis and treatment response prediction of NPC patients. The analytical and diagnostic evaluation and treatment response prediction were conducted using NPC patients' whole blood (WB) and tissue samples and non-NPC cancer patients and healthy individuals' WB samples. The assay was able to detect as low as 20 ag DNA per reaction (equivalent to 173 copies) with high specificity against broad reference microorganisms and archive NPC biopsy tissue and FNA samples. The diagnostic sensitivity and specificity were 83.3% and 100%, respectively. The 30 bp deletion genetic biomarker was found to be a good prognostic biomarker associated with overall clinical outcome of NPC WHO type III patients. This sensitive and specific assay can help clinicians in early diagnosis and treatment response prediction of NPC patients, which will enhance treatment outcome and lead to better life-saving.

Identification, characterization and control of a sequence variant in monoclonal antibody drug product: a case study

Sequence variants (SV) in protein bio therapeutics can be categorized as unwanted impurities and may raise serious concerns in efficacy and safety of the product. Early detection of specific sequence modifications, that can result in altered physicochemical and or biological properties, is therefore desirable in product manufacturing. Because of their low abundance, and finite resolving power of conventional analytical techniques, they are often overlooked in early drug development. Here, we present a case study where trace amount of a sequence variant is identified in a monoclonal antibody (mAb) based therapeutic protein by LC-MS/MS and the structural and functional features of the SV containing mAb is assessed using appropriate analytical techniques. Further, a very sensitive selected reaction monitoring (SRM) technique is developed to quantify the SV which revealed both prominent and inconspicuous nature of the variant in process chromatography. We present the extensive characterization of a sequence variant in protein biopharmaceutical and first report on control of sequence variants to < 0.05% in final drug product by utilizing SRM based mass spectrometry method during the purification steps.

A novel method to detect mutation in DNA by utilizing exponential amplification reaction triggered by the CRISPR-Cas9 system

We, herein, describe a novel method to detect mutation in DNA by utilizing exponential amplification reaction (EXPAR) triggered by clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9, called CRISPR-EXPAR. The CRISPR system consisting of two Cas9/sgRNA complexes was designed to cut out a specific mutation region within the target DNA, which would consequently promote EXPAR by continuously repeated extension and nicking reactions. As a consequence, a large number of final EXPAR products, which can be monitored through duplex-specific fluorescent staining, are produced. Based on this design principle, we successfully identified a model target mutation within the human epidermal growth factor receptor 2 (HER2) gene down to 437 aM with excellent specificity. The practical capability of this method was verified by reliably identifying the target mutation directly from the genomic DNA (gDNA) extracted from the lung cancer cell line, NCI-H1781 (H1781), and its universal applicability was further confirmed by identifying another EFGF L858R mutation. This technique could serve as a new isothermal platform to identify various mutations by rationally redesigning single guide RNA (sgRNA) according to the target mutation site.

Allele-Specific PCR for KRAS Mutation Detection Using Phosphoryl Guanidine Modified Primers

Establishing the Kirsten rat sarcoma (KRAS) mutational status is essential in terms of managing patients with various types of cancer. Allele-specific real-time polymerase chain reaction (AS-PCR) is a widely used method for somatic mutations detection. To improve the limited sensitivity and specificity, several blocking methods have been introduced in AS-PCR to block the amplification of wild-type templates. Herein, we used a novel modified oligonucleotide with internucleotide phosphates reshaped 1,3-dimethyl-2-imino-imidazolidine moieties (phosphoryl guanidine (PG) groups) as primers and blockers in the AS-PCR method. Four common KRAS mutations were chosen as a model to demonstrate the advantages of the PG primers and blockers utilizing a customized PCR protocol. The methods were evaluated on plasmid model systems providing a KRAS mutation detection limit of 20 copies of mutant DNA in a proportion as low as 0.1% of the total DNA, with excellent specificity. PG-modification can serve as the universal additional mismatch-like disturbance to increase the discrimination between wild-type and mutated DNA. Moreover, PG can serve to increase primer specificity by a synergetic effect with additional mismatch and would greatly facilitate medical research.

Determination and Quantification of Bacterial Virulent Gene Expression Using Quantitative Real-Time PCR

Polymerase chain reaction (PCR) plays significant roles in modern molecular biology. However, it is relatively cumbersome and less accurate to use the traditional PCR method in quantifying gene expression because it requires first generating a standard curve with multiple input controls showing linearity with amplified control PCR products on a electrophoresis gel to compare with the abundance of the to-be-determined gene transcript PCR amplicons. Quantitative real-time PCR (qRT-PCR) is a time-efficient and reliable tool for accurate quantification and comparison of gene (RNA transcript) expression from various biological samples. Current technology has simplified and expedited the qPCR process significantly. However, proper techniques and standard protocols are required in eliminating potentially erroneous experimental outcome. Here, we provide an example from a drug-treated bacterial gene expression study with detailed protocols to demonstrate real-time qPCR with SYBR^™ Green and TaqMan^®, two of the most adapted and well-established qPCR technologies. Relative quantification of gene (RNA transcript) expression using qRT-PCR is demonstrated in detail from sample preparations to data analysis.

Mismatch amplification mutation assay-polymerase chain reaction: A method of detecting fluoroquinolone resistance mechanism in bacterial pathogens

The mismatch amplification assay is a modified version of polymerase chain reaction (PCR) that permits specific amplification of gene sequences with single base pair change. The basis of the technique relies on primer designing. The single nucleotide mismatch at the 3’ proximity of the reverse oligonucleotide primer makes Taq DNA polymerase unable to carry out extension process. Thus, the primers produce a PCR fragment in the wild type, whereas it is not possible to yield a product with a mutation at the site covered by the mismatch positions on the mismatch amplification mutation assay (MAMA) primer from any gene. The technique offers several advantages over other molecular methods, such as PCR-restriction fragment length polymorphism (RFLP) and oligonucleotide hybridization, which is routinely used in the detection of known point mutations. Since multiple point mutations in the quinolone resistance determining region play a major role in high-level fluoroquinolone resistance in Gram-negative bacteria, the MAMA-PCR technique is preferred for detecting these mutations over PCR-RFLP and sequencing technology.

Biallelic Variants in the Nuclear Pore Complex Protein NUP93 Are Associated with Non-progressive Congenital Ataxia

Nuclear pore complexes (NPCs) are the gateways of the nuclear envelope mediating transport between cytoplasm and nucleus. They form huge complexes of 125 MDa in vertebrates and consist of about 30 different nucleoporins present in multiple copies in each complex. Here, we describe pathogenic variants in the nucleoporin 93 (NUP93) associated with an autosomal recessive form of congenital ataxia. Two rare compound heterozygous variants of NUP93 were identified by whole exome sequencing in two brothers with isolated cerebellar atrophy: one missense variant (p.R537W) results in a protein which does not localize to NPCs and cannot functionally replace the wild type protein, whereas the variant (p.F699L) apparently supports NPC assembly. In addition to its recently described pathological role in steroid-resistant nephrotic syndrome, our work identifies NUP93 as a candidate gene for non-progressive congenital ataxia.

A Novel Broad Allele-Specific TaqMan Real-Time PCR Method To Detect Triazole-Resistant Strains of Aspergillus fumigatus, Even with a Very Low Percentage of Triazole-Resistant Cells Mixed with Triazole-Susceptible Cells

Invasive aspergillosis caused by triazole-resistant strains of Aspergillus fumigatus is a growing public health concern, as is the occurrence of mixed infections with triazole-resistant and -susceptible A. fumigatus strains. Therefore, it is crucial to develop robust methods to identify triazole-resistant strains of A. fumigatus, even in mixtures of triazole-resistant and -susceptible strains of A. fumigatus In this work, we developed a robust, highly selective, and broad-range allele-specific TaqMan real-time PCR platform consisting of 7 simultaneous assays that detect TR₃₄ (a 34-bp tandem repeat in the promoter region), TR₄₆, G54W (a change of G to W at position 54), G54R, L98H, Y121F, and M220I mutations in the cyp51A gene of A. fumigatus The method is based on the widely used TaqMan real-time PCR technology and combines allele-specific PCR with a blocking reagent (minor groove binder [MGB] oligonucleotide blocker) to suppress amplification of the wild-type cyp51A alleles. We used this method to detect triazole-resistant clinical strains of A. fumigatus with a variety of cyp51A gene mutations, as well as the triazole-resistant strains in mixtures of triazole-resistant and -susceptible strains of A. fumigatus The method had high efficiency and sensitivity (300 fg/well, corresponding to about 100 CFU per reaction mixture volume). It could promptly detect triazole resistance in a panel of 30 clinical strains of A. fumigatus within about 6 h. It could also detect cyp51A-associated resistance alleles, even in mixtures containing only 1% triazole-resistant A. fumigatus strains. These results suggest that this method is robustly able to detect cyp51A-associated resistance alleles even in mixtures of triazole-resistant and -susceptible strains of A. fumigatus and that it should have important clinical applications.

T-blocker: a simple and robust probe-free quantitative PCR assay to detect somatic mutations down to 0.1% frequency

We have developed a simple and robust probe-free quantitative PCR (qPCR) assay method that can detect minor mutant alleles with a frequency as low as 0.1% in a heterogeneous sample by introducing a novel T-blocker concept to the allele-specific PCR method. Four new KRAS and BRAF mutation detection assays were developed and their performance was demonstrated by testing a large number of replicates, utilizing a customized PCR protocol. Highly efficient and specific mutant amplification in conjunction with selective wild-type suppression by the T-blocker concept enabled 0.1% detection sensitivity using the intercalating dye-based qPCR chemistry instead of more complex target-specific dye-labeled probes. Excellent consistency in sensitivity and specificity of the T-blocker assay concept was demonstrated.

Allele-Specific Silencing Ameliorates Restrictive Cardiomyopathy Attributable to a Human Myosin Regulatory Light Chain Mutation

BACKGROUND

Restrictive cardiomyopathy is a rare heart disease associated with mutations in sarcomeric genes and with phenotypic overlap with hypertrophic cardiomyopathy. There is no approved therapy directed at the underlying cause. Here, we explore the potential of an interfering RNA (RNAi) therapeutic for a human sarcomeric mutation in MYL2 causative of restrictive cardiomyopathy in a mouse model.

METHODS

A short hairpin RNA (M7.8L) was selected from a pool for specificity and efficacy. Two groups of myosin regulatory light chain N47K transgenic mice were injected with M7.8L packaged in adeno-associated virus 9 at 3 days of age and 60 days of age. Mice were subjected to treadmill exercise and echocardiography after treatment to determine maximal oxygen uptake and left ventricular mass. At the end of treatment, heart, lung, liver, and kidney tissue was harvested to determine viral tropism and for transcriptomic and proteomic analysis. Cardiomyocytes were isolated for single-cell studies.

RESULTS

A one-time injection of AAV9-M7.8L RNAi in 3-day-old humanized regulatory light chain mutant transgenic mice silenced the mutated allele (RLC-47K) with minimal effects on the normal allele (RLC-47N) assayed at 16 weeks postinjection. AAV9-M7.8L RNAi suppressed the expression of hypertrophic biomarkers, reduced heart weight, and attenuated a pathological increase in left ventricular mass. Single adult cardiac myocytes from mice treated with AAV9-M7.8L showed partial restoration of contraction, relaxation, and calcium kinetics. In addition, cardiac stress protein biomarkers, such as calmodulin-dependent protein kinase II and the transcription activator Brg1 were reduced, suggesting recovery toward a healthy myocardium. Transcriptome analyses further revealed no significant changes of argonaute (AGO1, AGO2) and endoribonuclease dicer (DICER1) transcripts, and endogenous microRNAs were preserved, suggesting that the RNAi pathway was not saturated.

CONCLUSIONS

Our results show the feasibility, efficacy, and safety of RNAi therapeutics directed towards human restrictive cardiomyopathy. This is a promising step toward targeted therapy for a prevalent human disease.

Allele-selective transcriptional repression of mutant HTT for the treatment of Huntington's disease

Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder caused by a CAG trinucleotide expansion in the huntingtin gene (HTT), which codes for the pathologic mutant HTT (mHTT) protein. Since normal HTT is thought to be important for brain function, we engineered zinc finger protein transcription factors (ZFP-TFs) to target the pathogenic CAG repeat and selectively lower mHTT as a therapeutic strategy. Using patient-derived fibroblasts and neurons, we demonstrate that ZFP-TFs selectively repress >99% of HD-causing alleles over a wide dose range while preserving expression of >86% of normal alleles. Other CAG-containing genes are minimally affected, and virally delivered ZFP-TFs are active and well tolerated in HD neurons beyond 100 days in culture and for at least nine months in the mouse brain. Using three HD mouse models, we demonstrate improvements in a range of molecular, histopathological, electrophysiological and functional endpoints. Our findings support the continued development of an allele-selective ZFP-TF for the treatment of HD.

EGFR Gene Polymorphism Predicts Improved Outcome in Patients With EGFR Mutation-positive Non-small cell Lung Cancer Treated With Erlotinib

BACKGROUND

Patients with advanced-stage non-small cell lung cancer with epidermal growth factor receptor (EGFR) mutations are successfully treated with tyrosine kinase inhibitors (TKIs). However, treatment outcome varies significantly. Previously, we found the polymorphism 181946C>T (rs2293347) located in exon 25 of the EGFR gene to be a predictor of improved outcome. However, these data were based on a subgroup analysis. Furthermore, other minor studies have found conflicting data. Thus, the aim of this study was to demonstrate the association of 181946C>T with clinical outcome in an independent cohort of EGFR-mutated patients treated with erlotinib.

PATIENTS AND METHODS

Seventy-five patients were prospectively enrolled. Blood samples were collected, and genotype for 181946C>T was determined by allele-specific polymerase chain reaction. Genotype was correlated with outcome.

RESULTS

In 73 patients, 181946C>T was successfully measured. Patients harboring the 181946CT genotype had a significantly longer median progression-free survival compared with patients harboring the 181946CC genotype (49.9 months [95% confidence interval (CI), 5.9-93.9 months] versus 11.1 months (95% CI, 7.4-14.9 months); P = .020). Moreover, a significantly longer median overall survival of 65.6 months (95% CI, 11.0-120.3 months) versus 31.2 months (95% CI, 10.9-51.6 months) was found (P = .019). Both results remained significant in a multivariate analysis adjusting for potential confounders.

CONCLUSION

We demonstrate that the 181946C>T polymorphism is a significant predictor of prolonged progression-free survival and overall survival in an independent cohort of EGFR mutation-positive patients treated with erlotinib. The polymorphism could be an important predictor of treatment response in these patients. A large multicenter cohort study involving other concurrent genetic alterations is warranted.

The evolving role of receptors as predictive biomarkers for metastatic breast cancer

INTRODUCTION

In breast cancer, estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) are essential biomarkers to predict response to endocrine and anti-HER2 therapies, respectively. In metastatic breast cancer, the use of these receptors and targeted therapies present additional challenges: temporal heterogeneity, together with limited sampling methodologies, hinders receptor status assessment, and the constant evolution of the disease invariably leads to resistance to treatment. Areas covered: This review summarizes the genomic abnormalities in ER and HER2, such as mutations, amplifications, translocations, and alternative splicing, emerging as novel biomarkers that provide an insight into underlying mechanisms of resistance and hold potential predictive value to inform treatment selection. We also describe how liquid biopsies for sampling of circulating markers and ultrasensitive detection technologies have emerged which complement ongoing efforts for biomarker discovery and analysis. Expert commentary: While evidence suggests that genomic aberrations in ER and HER2 could contribute to meeting the pressing need for better predictive biomarkers, efforts need to be made to standardize assessment methods and better understand the resistance mechanisms these markers denote. Taking advantage of emerging technologies, research in upcoming years should include prospective trials incorporating these predictors into the study design to validate their potential clinical value.

Monitoring the Transcriptional Activity of Human Endogenous Retroviral HERV-W Family Using PNA Strand Invasion into Double-Stranded DNA

In the presented assay, we elaborated a method for distinguishing sequences that are genetically closely related to each other. This is particularly important in a situation where a fine balance of the allele abundance is a point of research interest. We developed a peptide nucleic acid (PNA) strand invasion technique for the differentiation between multiple sclerosis-associated retrovirus (MSRV) and ERVWE1 sequences, both molecularly similar, belonging to the human endogenous retrovirus HERV-W family. We have found that this method may support the PCR technique in screening for minor alleles which, in certain conditions, may be undetected by the standard PCR technique. We performed the analysis of different ERVWE1 and MSRV template mixtures ranging from 0 to 100% of ERVWE1 in the studied samples, finding the linear correlation between template composition and signal intensity of final reaction products. Using the PNA strand invasion assay, we were able to estimate the relative ERVWE1 expression level in human specimens such as U-87 MG, normal human astrocytes cell lines and placental tissue. The results remained in concordance with those obtained by semi-quantitative or quantitative PCR.

A novel but frequent variant in LPA KIV-2 is associated with a pronounced Lp(a) and cardiovascular risk reduction

Aims

Lp(a) concentrations represent a major cardiovascular risk factor and are almost entirely controlled by one single locus (LPA). However, many genetic factors in LPA governing the enormous variance of Lp(a) levels are still unknown. Since up to 70% of the LPA coding sequence are located in a difficult to access hypervariable copy number variation named KIV-2, we hypothesized that it may contain novel functional variants with pronounced effects on Lp(a) concentrations. We performed a large scale mutation analysis in the KIV-2 using an extreme phenotype approach.

Methods and Results

We compiled an discovery set of 123 samples showing discordance between LPA isoform phenotype and Lp(a) concentrations and controls. Using ultra-deep sequencing, we identified a splice site variant (G4925A) in preferential association with the smaller LPA isoforms. Follow-up in a European general population (n = 2892) revealed an exceptionally high carrier frequency of 22.1% in the general population. The variant explains 20.6% of the Lp(a) variance in carriers of low molecular weight (LMW) apo(a) isoforms (P = 5.75e-38) and reduces Lp(a) concentrations by 31.3 mg/dL. Accordingly the odds ratio for cardiovascular disease was reduced from 1.39 [95% confidence interval (CI): 1.17–1.66, P = 1.89e-04] for wildtype LMW individuals to 1.19 [95%CI: 0.92; 1.56, P = 0.19] in LMW individuals who were additionally positive for G4925A. Functional studies point towards a reduction of splicing efficiency by this novel variant.

Conclusion

A highly frequent but until now undetected variant in the LPA KIV-2 region is strongly associated with reduced Lp(a) concentrations and reduced cardiovascular risk in LMW individuals.

New applications of CRISPR/Cas9 system on mutant DNA detection

The detection of mutant DNA is critical for precision medicine, but low-frequency DNA mutation is very hard to be determined. CRISPR/Cas9 is a robust tool for in vivo gene editing, and shows the potential for precise in vitro DNA cleavage. Here we developed a DNA mutation detection system based on CRISPR/Cas9 that can detect gene mutation efficiently even in a low-frequency condition. The system of CRISPR/Cas9 cleavage in vitro showed a high accuracy similar to traditional T7 endonuclease I (T7E1) assay in estimating mutant DNA proportion in the condition of normal frequency. The technology was further used for low-frequency mutant DNA detection of EGFR and HBB somatic mutations. To the end, Cas9 was employed to cleave the wild-type (WT) DNA and to enrich the mutant DNA. Using amplified fragment length polymorphism analysis (AFLPA) and Sanger sequencing, we assessed the sensitivity of CRISPR/Cas9 cleavage-based PCR, in which mutations at 1%-10% could be enriched and detected. When combined with blocker PCR, its sensitivity reached up to 0.1%. Our results suggested that this new application of CRISPR/Cas9 system is a robust and potential method for heterogeneous specimens in the clinical diagnosis and treatment management.

Multiplexed enrichment of rare DNA variants via sequence-selective and temperature-robust amplification

Rare DNA-sequence variants hold important clinical and biological information, but existing detection techniques are expensive, complex, allele-specific, or don't allow for significant multiplexing. Here, we report a temperature-robust polymerase-chain-reaction method, which we term blocker displacement amplification (BDA), that selectively amplifies all sequence variants, including single-nucleotide variants (SNVs), within a roughly 20-nucleotide window by 1,000-fold over wild-type sequences. This allows for easy detection and quantitation of hundreds of potential variants originally at ≤0.1% in allele frequency. BDA is compatible with inexpensive thermocycler instrumentation and employs a rationally designed competitive hybridization reaction to achieve comparable enrichment performance across annealing temperatures ranging from 56 °C to 64 °C. To show the sequence generality of BDA, we demonstrate enrichment of 156 SNVs and the reliable detection of single-digit copies. We also show that the BDA detection of rare driver mutations in cell-free DNA samples extracted from the blood plasma of lung-cancer patients is highly consistent with deep sequencing using molecular lineage tags, with a receiver operator characteristic accuracy of 95%.

A "Ct contrast"-based strain-specific real-time quantitative PCR system for Lactobacilllus paracasei subsp. paracasei NTU 101

BACKGROUND/PURPOSES

Routine cell number determination for specific Lactobacillus strain by cultivation requires at least 4-7 days. Thus rapid and specific cell number determine methods such as strain-specific quantitative PCR (qPCR) are valuable. However, qPCR method is vulnerable to difficult PCR target such as dimer/secondary structure forming sequence.

METHODS

In this study, a two-component, "Ct contrast" approach was applied to strain-specific qPCR system following the development of Lactobacillus paracasei subsp. paracasei NTU 101 (NTU 101) strain-specific PCR with random amplification of polymorphic DNA (RAPD)-derived strain-specific sequences.

RESULTS

The quantitative range of the NTU 101 strain-specific qPCR system was 3.0 × 10¹ to 3.0 × 10⁵ copies for pure cultures, and 3.0 × 10² to 3.0 × 10⁵ copies for multi-strain or unknown food samples. The results of spike in test and real sample testing suggested that non-specific weak background signals did not compromise test specificity, and demonstrated the potential of the NTU 101 strain-specific qPCR system in food samples.

CONCLUSION

The two-component, "Ct contrast" approach is useful for qPCR discrimination when no ideal PCR target is available or the variance of the target site is unpredictable. The Ct contrast approach might provide a simple and robust solution for other challenging qPCR targets.

Pyrosequencing analysis of KRAS codon 61 mutations in Thai patients with advanced colorectal cancer

Background

KRAS, coding for a small G-protein downstream of epidermal growth factor receptor (EGFR) plays an important role in the EGFR signaling network. Mutation in KRAS is associated with resistance to anti-EGFR in patients with advanced colorectal cancer (CRC). According to the American Society of Clinical Oncology (ASCO) guidelines, screening for mutations in KRAS codons 12 and 13 in tumor samples is mandatory for all CRC patients who are candidates for anti-EGFR targeted therapy. However, some patients with undetectable mutations in codons 12/13 do not benefit from anti-EGFR treatment, and this might be because of mutations in codon 61, which is not currently recommended for screening.

Objectives

To develop an in-house pyrosequencing method to screen for KRAS codon 61 mutations, and examine the prevalence of mutations in Thai patients with advanced CRC with no detectable mutation in codons 12/13.

Materials and Methods

DNA extracted from FFPE specimens was screened for KRAS codon 61 mutations using pyrosequencing. Our method was suitable for routine clinical samples (formalin-fixed, paraffin-embedded tissue), and was able to detect 5 common mutations in codon 61 of the KRAS gene, including c.182AT (p.Q61L), c.182AG (p.Q61R), c.182AC (p.Q61P), c.183AC (p.Q61H), and c.183AT (p.Q61H).

Results

Of the 74 samples with undetectable codon 12/13 mutation examined, two (2.7%) were found to harbor mutation in codon 61.

Conclusion

Despite the low prevalence of KRAS codon 61 mutation in our population with advanced CRC, adding the mutation test into the routine molecular service deserves consideration because the cost of treatment is very expensive.

Oligonucleotide-Mediated Genome Editing Provides Precision and Function to Engineered Nucleases and Antibiotics in Plants

Here, we report a form of oligonucleotide-directed mutagenesis for precision genome editing in plants that uses single-stranded oligonucleotides (ssODNs) to precisely and efficiently generate genome edits at DNA strand lesions made by DNA double strand break reagents. Employing a transgene model in Arabidopsis (Arabidopsis thaliana), we obtained a high frequency of precise targeted genome edits when ssODNs were introduced into protoplasts that were pretreated with the glycopeptide antibiotic phleomycin, a nonspecific DNA double strand breaker. Simultaneous delivery of ssODN and a site-specific DNA double strand breaker, either transcription activator-like effector nucleases (TALENs) or clustered, regularly interspaced, short palindromic repeats (CRISPR/Cas9), resulted in a much greater targeted genome-editing frequency compared with treatment with DNA double strand-breaking reagents alone. Using this site-specific approach, we applied the combination of ssODN and CRISPR/Cas9 to develop an herbicide tolerance trait in flax (Linum usitatissimum) by precisely editing the 5'-ENOLPYRUVYLSHIKIMATE-3-PHOSPHATE SYNTHASE (EPSPS) genes. EPSPS edits occurred at sufficient frequency that we could regenerate whole plants from edited protoplasts without employing selection. These plants were subsequently determined to be tolerant to the herbicide glyphosate in greenhouse spray tests. Progeny (C1) of these plants showed the expected Mendelian segregation of EPSPS edits. Our findings show the enormous potential of using a genome-editing platform for precise, reliable trait development in crop plants.

Evaluation of Clarithromycin Resistance Among Iranian Helicobacter pylori Isolates by E-Test and Real-Time Polymerase Chain Reaction Methods

Background

Helicobacter pylori is an important pathogen of human gastric mucosa. Antibiotic resistance, especially resistance to clarithromycin is a major factor for treatment failure of H. pylori infections. The main mechanism of clarithromycin resistance in these bacteria is related to point mutations in three different locations of 23S rRNA gene.

Objectives

The aims of this study were to evaluate the resistance rate to clarithromycin among local H. pylori isolates by the E-test method and to determine the profile of point mutation in 23S rRNA by real-time polymerase chain reaction (PCR) method.

Patients and Methods

Eighty biopsy samples were collected from dyspeptic patients by endoscopy during 2011 - 2012. All samples were homogenized immediately and cultured on supplemented brucella blood agar and incubated under microaerophilic conditions. Further biochemical tests and ureC gene PCR was done for H. pylori confirmation. The H. pylori OC1096 strain was used as the control strain, simultaneously. Frequency of clarithromycin resistance was determined by the E-test method based on the clinical and laboratory standard institute (CLSI) standards. Point mutation profile was determined by real-time PCR and further analysis of melting curve, amplicon sequencing was done continuously.

Results

From 80 biopsy samples, 20 positive H. pylori isolates were detected and confirmed by biochemical tests and PCR method. Overall, 21.7% of the H. pylori isolates, showed clarithromycin resistance phenotype by use of the E-test. Also, the minimal inhibitory concentration of clarithromycin was determined as ≥ 0.5 mg/L by the E-test method. Only point mutation in the location of A2143G with melting temperature of 54.7°C was observed in all resistant isolates.

Conclusions

This study showed that the frequency of H. pylori clarithromycin resistance in Iran is relatively high. Since clarithromycin is not commonly used in Iran for H. pylori eradication, the high rate of resistance could be related to cross-reactivity between other macrolides. Therefore, macrolide antibiotics must be prescribed with precaution in any case of treatment other than H. pylori infections. All resistant isolates showed A2143G mutation in 23S rRNA as the dominant pattern of point mutation at least in Tehran H. pylori isolates.

Development of low-density oligonucleotide microarrays for detecting mutations causing Wilson's disease

Background & objectives:

Wilson's disease (WD) is an autosomal recessive disorder caused by mutations in ATP7B, a copper transporter gene, leading to hepatic and neuropsychiatric manifestations due to copper accumulation. If diagnosed early, WD patients can be managed by medicines reducing morbidity and mortality. Diagnosis of this disease requires a combination of tests and at times is inconclusive due to overlap of the symptoms with other disorders. Genetic testing is the preferred alternative in such cases particularly for individuals with a family history. Use of DNA microarray for detecting mutations in ATP7B gene is gaining popularity because of the advantages it offers in terms of throughput and sensitivity. This study attempts to establish the quality analysis procedures for microarray based diagnosis of Wilson's disease.

Methods:

A home-made microarrayer was used to print oligonucleotide based low-density microarrays for addressing 62 mutations causing Wilson's disease reported from Indian population. Inter- and intra- array comparisons were used to study quality of the arrays. The arrays were validated by using mutant samples generated by site directed mutagenesis.

Results:

The hybridization reaction were found to be consistent across the surface of a given microarray. Our results have shown that 52 °C post-hybridization wash yields better reproducibility across experiments compared to 42 °C. Our arrays have shown > 80 per cent sensitivity in detecting these 62 mutations.

Interpretation & conclusions:

The present results demonstrate the design and evaluation of a low-density microarray for the detection of 62 mutations in ATP7B gene, and show that a microarray based approach can be cost-effective for detecting a large number of mutations simultaneously. This study also provides information on some of the important parameters required for microarray based diagnosis of genetic disorders.

Native characterization of nucleic acid motif thermodynamics via non-covalent catalysis

DNA hybridization thermodynamics is critical for accurate design of oligonucleotides for biotechnology and nanotechnology applications, but parameters currently in use are inaccurately extrapolated based on limited quantitative understanding of thermal behaviours. Here, we present a method to measure the ΔG° of DNA motifs at temperatures and buffer conditions of interest, with significantly better accuracy (6- to 14-fold lower s.e.) than prior methods. The equilibrium constant of a reaction with thermodynamics closely approximating that of a desired motif is numerically calculated from directly observed reactant and product equilibrium concentrations; a DNA catalyst is designed to accelerate equilibration. We measured the ΔG° of terminal fluorophores, single-nucleotide dangles and multinucleotide dangles, in temperatures ranging from 10 to 45 °C.

DNA hybridisation thermodynamics parameters underlie rational design of oligonucleotides for diagnostics and nanotechnology. Here, the authors present an accurate method to measure the free energy of a given DNA structure at specific temperature and buffer conditions.

Somatic mutation in single human neurons tracks developmental and transcriptional history

Neurons live for decades in a postmitotic state, their genomes susceptible to DNA damage. Here we survey the landscape of somatic single-nucleotide variants (SNVs) in the human brain. We identified thousands of somatic SNVs by single-cell sequencing of 36 neurons from the cerebral cortex of three normal individuals. Unlike germline and cancer SNVs, which are often caused by errors in DNA replication, neuronal mutations appear to reflect damage during active transcription. Somatic mutations create nested lineage trees, allowing them to be dated relative to developmental landmarks and revealing a polyclonal architecture of the human cerebral cortex. Thus, somatic mutations in the brain represent a durable and ongoing record of neuronal life history, from development through postmitotic function.

Detecting the H3F3A mutant allele found in high-grade pediatric glioma by real-time PCR

Diffuse intrinsic pontine glioma (DIPG) is an aggressive pediatric brain tumor with a median survival of 1 year after diagnosis. It has been reported recently that about 80% of DIPG cases and 70% of midline glioblastomas contain a mutation at one allele of the H3F3A gene (encoding histone H3 variant H3.3), replacing the lysine 27 with methionine (K27M). In order to facilitate diagnosis of DIPG patients, a quick and reliable method to identify the H3F3A K27M mutation is needed. Here, we describe a real-time PCR-based procedure involving a mutant-specific primer, a blocker oligonucleotide, and a reverse primer that can differentiate samples with H3F3A K27M mutation from those that do not. We first tested four different mutant-specific primers for their ability to selectively amplify H3F3A K27M-mutant allele and found that one primer amplified the mutant allele more efficiently than the rest. We then determined the optimal concentration of blocker oligo that significantly improved amplification of the H3F3A K27M-mutant allele. Using this optimized real-time PCR assay, we analyzed eleven samples, two of which containing H3F3A K27M mutation, and found that these two samples were differentially amplified from the nine others. In addition, we were able to discern the H3F3A K27M mutation in a newly obtained pediatric brainstem glioblastoma sample whose H3.3 status was not known previously, and in three other DIPG samples as well as paraffin embedded samples. These results demonstrate that we have developed a new reliable procedure for detecting the H3F3A K27M mutation in pediatric glioblastoma patient samples.

Genetic polymorphism in the epidermal growth factor receptor gene predicts outcome in advanced non-small cell lung cancer patients treated with erlotinib

OBJECTIVES

Epidermal growth factor receptor (EGFR) mutations are important predictors of treatment response to tyrosine kinase inhibitors (TKIs) in patients with non-small cell lung cancer (NSCLC). However, some patients with mutations do not respond and some patients without mutations show response. We therefore need additional biomarkers to improve the selection of these patients for treatment. A promising candidate could be germline genetic variations in the EGFR gene that can alter protein expression or function and may influence the response to TKIs. Thus, the aim of this study was to evaluate the predictive role of genetic variations in the EGFR gene in advanced NSCLC patients treated with a TKI.

MATERIALS AND METHODS

Genotypes for -216G>T, -191C>A and 181946C>T in the EGFR gene were retrospectively evaluated by DNA sequencing and allele-specific PCR analysis in 331 Caucasian patients with advanced NSCLC. Genotypes were correlated with clinical characteristics, toxicity and outcome. A multivariate analysis was performed using Cox proportional hazards model while adjusting for clinically relevant factors including EGFR mutation status.

RESULTS

181946CT or TT genotypes showed an association with clinical outcome compared with patients with the 181946CC genotype (disease control rate (DCR), 68% versus 52%; P=0.049; progression-free survival (PFS), adjusted hazard ratio (HR)=0.74 (95% confidence interval (CI): 0.55-0.99); overall survival (OS), adjusted HR=0.73 (95% CI: 0.54-0.97)). Subgroup analysis demonstrated that the association may be most relevant in EGFR mutation-positive patients (PFS, adjusted HR=0.43 (95% CI: 0.22-0.82); OS, adjusted HR=0.47 (95% CI: 0.24-0.93)).

CONCLUSION

The 181946C>T polymorphisms in the EGFR gene seems to be a potential predictor of higher DCR, longer PFS and OS in advanced NSCLC patients treated with erlotinib, especially in EGFR mutation-positive patients. Thus, this SNP may be a new potential tool for selection of patients for treatment. Prospective randomized studies are wanted to confirm our data.

Class III Receptor Tyrosine Kinases in Acute Leukemia - Biological Functions and Modern Laboratory Analysis

Acute myeloid leukemia (AML) is a complex disease caused by deregulation of multiple signaling pathways. Mutations in class III receptor tyrosine kinases (RTKs) have been implicated in alteration of cell signals concerning the growth and differentiation of leukemic cells. Point mutations, insertions, or deletions of RTKs as well as chromosomal translocations induce constitutive activation of the receptor, leading to uncontrolled proliferation of undifferentiated myeloid blasts. Aberrations can occur in all domains of RTKs causing either the ligand-independent activation or mimicking the activated conformation. The World Health Organization recommended including RTK mutations in the AML classification since their detection in routine laboratory diagnostics is a major factor for prognostic stratification of patients. Polymerase chain reaction (PCR)-based methods are well-validated for the detection of fms-related tyrosine kinase 3 (FLT3) mutations and can easily be applied for other RTKs. However, when methodological limitations are reached, accessory techniques can be applied. For a higher resolution and more quantitative approach compared to agarose gel electrophoresis, PCR fragments can be separated by capillary electrophoresis. Furthermore, high-resolution melting and denaturing high-pressure liquid chromatography are reliable presequencing screening methods that reduce the sample amount for Sanger sequencing. Because traditional DNA sequencing is time-consuming, next-generation sequencing (NGS) is an innovative modern possibility to analyze a high amount of samples simultaneously in a short period of time. At present, standardized procedures for NGS are not established, but when this barrier is resolved, it will provide a new platform for rapid and reliable laboratory diagnostic of RTK mutations in patients with AML. In this article, the biological and physiological role of RTK mutations in AML as well as possible laboratory methods for their detection will be reviewed.

Simulation-guided DNA probe design for consistently ultraspecific hybridization

Hybridization of complementary sequences is one of the central tenets of nucleic acid chemistry; however, the unintended binding of closely related sequences limits the accuracy of hybridization-based approaches for analyzing nucleic acids. Thermodynamics-guided probe design and empirical optimization of reaction conditions have been used to enable discrimination of single nucleotide variants, but typically these approaches provide only an approximate 25-fold difference in binding affinity. Here we show that simulations of the binding kinetics are both necessary and sufficient to design nucleic acid probe systems with consistently high specificity as they enable the discovery of an optimal combination of thermodynamic parameters. Simulation-guided probe systems designed against 44 different target single nucleotide variants sequences showed between 200- and 3000-fold (median 890) higher binding affinity than their corresponding wildtype sequences. As a demonstration of the usefulness of this simulation-guided design approach we developed probes which, in combination with PCR amplification, we use to detect low concentrations of variant alleles (1%) in human genomic DNA.

Quantitative detection of DNMT3A R882H mutation in acute myeloid leukemia

Background

DNMT3A mutations represent one of the most frequent gene alterations detectable in acute myeloid leukemia (AML) with normal karyotype. Although various recurrent somatic mutations of DNMT3A have been described, the most common mutation is located at R882 in the methyltransferase domain of the gene. Because of their prognostic significance and high stability during disease evolution, DNMT3A mutations might represent highly informative biomarkers for prognosis and outcome of disease.

Methods

We describe an allele-specific PCR with a Blocking reagent for the quantitative detection of DNMT3A R882H mutation providing the possibility to analyze the quantitative amount of mutation during the course of disease. Next, we analyzed 62 follow-up samples from 6 AML patients after therapy and allogeneic stem cell transplantation (alloSCT).

Results

We developed an ASB-PCR assay for quantitative analysis of R882H DNMT3A mutation. After optimization of blocker concentration, a R882H-positive plasmid was constructed to enhance the accuracy of the sensitivity of quantitative detection. The assay displayed a high efficiency and sensitivity up to 10⁻³. The reproducibility of assay analyzed using follow-up samples showed the standard deviation less than 3.1 %. This assay displayed a complete concordance with sequencing and endonuclease restriction analysis. We have found persistence of DNMT3A R882H mutations in complete remission (CR) after standard cytoreduction therapy that could be indicating presence of DNMT3A mutation in early pre-leukemic stem cells that resist chemotherapy. The loss of correlation between NPM1 and DNMT3A in CR could be associated with evolution of pre-leukemic and leukemic clones. In patients with CR with complete donor chimerism after alloSCT, we have found no DNMT3A R882H. In relapsed patients, all samples showed an increasing of both NPM1 and DNMT3A mutated alleles. This suggests at least in part the presence of NPM1 and DNMT3A mutations in the same cell clone.

Conclusion

We developed a rapid and reliable method for quantitative detection of DNMT3A R882H mutations in AML patients. Quantitative detection of DNMT3A R882H mutations at different time points of AML disease enables screening of follow-up samples. This could provide additional information about the role of DNMT3A mutations in development and progression of AML.

Fluorescence virus-guided capturing system of human colorectal circulating tumour cells for non-invasive companion diagnostics

BACKGROUND

Molecular-based companion diagnostic tests are being used with increasing frequency to predict their clinical response to various drugs, particularly for molecularly targeted drugs. However, invasive procedures are typically required to obtain tissues for this analysis. Circulating tumour cells (CTCs) are novel biomarkers that can be used for the prediction of disease progression and are also important surrogate sources of cancer cells. Because current CTC detection strategies mainly depend on epithelial cell-surface markers, the presence of heterogeneous populations of CTCs with epithelial and/or mesenchymal characteristics may pose obstacles to the detection of CTCs.

METHODS

We developed a new approach to capture live CTCs among millions of peripheral blood leukocytes using a green fluorescent protein (GFP)-expressing attenuated adenovirus, in which the telomerase promoter regulates viral replication (OBP-401, TelomeScan).

RESULTS

Our biological capturing system can image epithelial and mesenchymal tumour cells with telomerase activities as GFP-positive cells. After sorting, direct sequencing or mutation-specific PCR can precisely detect different mutations in KRAS, BRAF and KIT genes in epithelial, mesenchymal or epithelial-mesenchymal transition-induced CTCs, and in clinical blood samples from patients with colorectal cancer.

CONCLUSIONS

This fluorescence virus-guided viable CTC capturing method provides a non-invasive alternative to tissue biopsy or surgical resection of primary tumours for companion diagnostics.