Input DNA Research Articles

Robust Bisulfite‐Free Single‐Molecule Real‐Time Sequencing of Methyldeoxycytidine Based on a Novel hpTet3 Enzyme

In addition to the four canonical nucleosides dA, dG, dC and T, genomic DNA contains the additional base 5‐methyldeoxycytidine (mdC). The presence of this methylated cytidine nucleoside in promoter regions or gene bodies significantly affects the transcriptional activity of the corresponding gene. Consequently, the methylation patterns of genes are crucial for either silencing or activating genes. Sequencing the positions of mdC in the genome is therefore of paramount importance for early cancer diagnostics as it helps determine incorrect gene expression. Currently, the bisulfite method is the gold standard for mdC‐sequencing. However, this method has the drawback that the majority of the input DNA is degraded during the bisulfite treatment. Additionally, bisulfite sequencing is prone to errors. Here, we report a benign, bisulfite‐free mdC sequencing method termed EMox‐seq, which is based on third‐generation single‐molecule SMRT sequencing. The foundation of this technology is a new Tet3 enzyme that efficiently oxidizes mdCs to 5‐carboxycytidine (cadC). In turn, cadC provides an excellent readout by SMRT sequencing using specially trained AI‐based algorithms.

Robust Bisulfite-Free Single-Molecule Real-Time Sequencing of Methyldeoxycytidine Based on a Novel hpTet3 Enzyme.

In addition to the four canonical nucleosides dA, dG, dC and T, genomic DNA contains the additional base 5-methyldeoxycytidine (mdC). The presence of this methylated cytidine nucleoside in promoter regions or gene bodies significantly affects the transcriptional activity of the corresponding gene. Consequently, the methylation patterns of genes are crucial for either silencing or activating genes. Sequencing the positions of mdC in the genome is therefore of paramount importance for early cancer diagnostics as it helps determine incorrect gene expression. Currently, the bisulfite method is the gold standard for mdC-sequencing. However, this method has the drawback that the majority of the input DNA is degraded during the bisulfite treatment. Additionally, bisulfite sequencing is prone to errors. Here, we report a benign, bisulfite-free mdC sequencing method termed EMox-seq, which is based on third-generation single-molecule SMRT sequencing. The foundation of this technology is a new Tet3 enzyme that efficiently oxidizes mdCs to 5-carboxycytidine (cadC). In turn, cadC provides an excellent readout by SMRT sequencing using specially trained AI-based algorithms.

BIOM-61. CSF CTDNA ANALYSIS OF PATIENTS WITH DIFFUSE GLIOMAS REVEALS DIAGNOSTIC MOLECULAR ALTERATIONS

Abstract There is a critical need for better strategies to diagnose and monitor patients with diffuse gliomas. Liquid biopsies are less invasive than tissue biopsies and are amenable to serial collection at multiple timepoints. However, analysis of circulating tumor DNA (ctDNA) in cerebrospinal fluid (CSF) in patients with diffuse gliomas remains underutilized in clinical practice due to technical challenges and a scarcity of studies demonstrating clinical utility. We evaluated ctDNA in 49 CSF samples from patients with various types of diffuse gliomas with a next generation sequencing (NGS) panel interrogating 613 cancer-related genes. Cell-free DNA concentration obtained from CSF (0.4-5mL) ranged from 0.009 to 60ng/µL. Input DNA concentration ranged from 0.12-30ng. Mutations were detected in 29/49 (59.2%) samples including 22/49 (44.9%) with single nucleotide changes, 14/49 (28.6%) with copy number changes, and 1 fusion (2.0%). The majority of samples without mutations detected (n=20) had suboptimal DNA input (<30ng): 17/20 (85%). We identified diagnostic alterations in CSF including mutations in IDH1 (3/5 IDH-mutant gliomas), TERTp and EGFR amplification (7/34 glioblastomas), H3-3A (4/6 pediatric high-grade gliomas). Some of these mutations, in combination with other clinical parameters, allowed us to identify specific CNS tumor types based on the 2021 WHO classification of CNS tumors, resulting in the reclassification of 2 patients. Matched tumor tissue sequencing results were available for 23/49 (46.9%) patients and the results showed good concordance with CSF ctDNA analysis. In summary, our results suggest that the NGS analysis of CSF-ctDNA can provide clinically relevant information in patients with diffuse gliomas.

BIOM-19. METHYLATION PROFILING OF PLASMA CELL-FREE DNA IN PEDIATRIC BRAIN TUMOR PATIENTS

Abstract BACKGROUND Circulating tumor DNA (ctDNA) assays are being evaluated to inform clinical decisions in cancer care in adult patients, but the study in pediatric brain tumor patients is rare partly due to very low levels of ctDNA in blood. Currently, treatment decisions require invasive diagnostic surgical biopsies that carry risks and morbidity. The aim of this study is to utilize methylomes from plasma ctDNA for non-invasive diagnosis in pediatric brain tumor patients. METHODS Using cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq), which with low input DNA requirement, we measured methylation profiles of plasma samples from 77 pediatric brain tumor patients and 16 patients with non-neoplastic diseases like epilepsy. Binomial GLMnet classifiers of tumor or tumor subtype were built, in 2000 iterations of 60% training sets. Performance was evaluated in 40% test sets. RESULTS. These 77 pediatric brain tumor patients were a mixture of the most common pediatric brain tumors, include circumscribed astrocytic gliomas (N=23), glioneuronal tumors (N=16), embryonal tumor (N=9), ependymal tumor (N=7), pediatric type diffuse high grade glioma (N= 5), glioma NOS (N=4), mesenchymal tumor (N=4) and other pediatric brain tumors (N=9). The methylation profile differentiated brain tumors from non-neoplastic diseases with 82.9% accuracy (precision = 92.6%, sensitivity = 86.2%, specificity = 66.7 %). For subtype analysis, the methylation profile detected circumscribed astrocytic glioma from non-neoplastic diseases with 85.7% accuracy (precision = 87.5%, sensitivity = 87.5 %, specificity = 83.3 %), and glioneuronal tumors from non- neoplastic diseases with 83.3% accuracy (all precision, sensitivity, and specificity = 83.3 %). CONCLUSIONS The results suggest that methylation profiling of plasma cell-free DNA has the potential to discriminate between pediatric brain tumor patients and patients with non- neoplastic diseases. Larger population cohorts to train even more accurate classifiers will be needed.

Minimal residual disease detection for acute lymphoblastic leukaemia in peripheral blood-Are we there yet?

Can peripheral blood be used to detect residual disease in acute lymphoblastic leukaemia (ALL) when we increase the sensitivity of the method used? Bendig etal. found that a larger amount of material and the use of next-generation sequencing (NGS) detects MRD in peripheral blood in up to half of patients with B-cell precursor ALL (BCP-ALL) where routine examination was negative. However, a negative result does not exclude the presence of residual disease and thus still limits the use of peripheral blood. Commentary on: Bendig etal. Next-generation sequencing and high DNA input identify previously missed measurable residual disease in peripheral blood of B-cell precursor acute lymphoblastic leukaemia. Br J Haematol 2024 (Online ahead of print). doi: 10.1111/bjh.19834.

Factors impacting target-enriched long-read sequencing of resistomes and mobilomes.

We investigated the efficiency of target-enriched long-read sequencing (TELSeq) for detecting antimicrobial resistance genes (ARGs) and mobile genetic elements (MGEs) within complex matrices. We aimed to overcome limitations associated with traditional antimicrobial resistance (AMR) detection methods, including short-read shotgun metagenomics, which can lack sensitivity, specificity, and the ability to provide detailed genomic context. By combining biotinylated probe-based enrichment with long-read sequencing, we facilitated the amplification and sequencing of ARGs, eliminating the need for bioinformatic reconstruction. Our experimental design included replicates of human fecal microbiota transplant material, bovine feces, pristine prairie soil, and a mock human gut microbial community, allowing us to examine variables including genomic DNA input and probe set composition. Our findings demonstrated that TELSeq markedly improves the detection rates of ARGs and MGEs compared to traditional sequencing methods, underlining its potential for accurate AMR monitoring. A key insight from our research is the importance of incorporating mobilome profiles to better predict the transferability of ARGs within microbial communities, prompting a recommendation for the use of combined ARG-MGE probe sets for future studies. We also reveal limitations for ARG detection from low-input workflows, and describe the next steps for ongoing protocol refinement to minimize technical variability and expand utility in clinical and public health settings. This effort is part of our broader commitment to advancing methodologies that address the global challenge of AMR.

High chromosomal instability is associated with higher 10-year risks of recurrence for hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer patients: clinical evidence from a large-scale, multiple-site, retrospective study.

Long-term survival varies among hormone receptor-positive (HR+) and human epidermal growth factor receptor 2-negative (HER2-) breast cancer patients and is seriously impaired by metastasis. Chromosomal instability (CIN) was one of the key drivers of breast cancer metastasis. Here we evaluate CIN and 10-year invasive disease-free survival (iDFS) and overall survival (OS) in HR+/HER2-- breast cancer. In this large-scale, multiple-site, retrospective study, 354 HR+/HER2- breast cancer patients were recruited. Of these, 204 patients were used for internal training, 70 for external validation, and 80 for cross-validation. All medical records were carefully reviewed to obtain the disease recurrence information. Formalin-fixed paraffin-embedded tissue samples were collected, followed by low-pass whole-genome sequencing with a median genome coverage of 1.86X using minimal 1 ng DNA input. CIN was then assessed using a customized bioinformatics workflow. Three or more instances of CIN per sample was defined as high CIN and the frequency was 42.2% (86/204) in the internal cohort. High CIN correlated significantly with increased lymph node metastasis, vascular invasion, progesterone receptor negative status, HER2 low, worse pathological type, and performed as an independent prognostic factor for HR+/- breast cancer. Patients with high CIN had shorter iDFS and OS than those with low CIN [10-year iDFS 11.1% versus 82.2%, hazard ratio (HR) = 11.12, p < 0.01; 10-year OS 45.7% versus 94.3%, HR = 14.17, p < 0.01]. These findings were validated in two external cohorts with 70 breast cancer patients. Moreover, high CIN could predict the prognosis more accurately than Adjuvant! Online score (10-year iDFS 11.1% versus 48.6%, HR = 2.71, p < 0.01). Cross-validation analysis found that high consistency (83.8%) was observed between CIN and MammaPrint score, while only 45% between CIN and Adjuvant! Online score. In conclusion, high CIN is an independent prognostic indicator for HR+/HER2- breast cancer with shorter iDFS and OS and holds promise for predicting recurrence and metastasis.

Multiplexed Methylated DNA Immunoprecipitation Sequencing (Mx-MeDIP-Seq) to Study DNA Methylation Using Low Amounts of DNA

Background/Objectives: DNA methylation is a key epigenetic mark involved in regulating gene expression. Aberrant DNA methylation contributes to various human diseases, including cancer, autoimmune disorders, atherosclerosis, and cardiovascular diseases. While whole-genome bisulfite sequencing and methylated DNA immunoprecipitation (MeDIP) are standard techniques for studying DNA methylation, they are typically limited to a few samples per run, making them expensive and low-throughput. Therefore, an automation-friendly method is needed to increase throughput and reduce costs without compromising data quality. Methods and Results: We developed a novel method called Multiplexed Methylated DNA Immunoprecipitation Sequencing (Mx-MeDIP-Seq), which can be used to analyze many DNA samples in parallel, requiring only small amounts of input DNA. In this method, 10 different DNA samples were fragmented, purified, barcoded, and pooled prior to immunoprecipitation. In a head-to-head comparison, we observed a 99% correlation between MeDIP-Seq performed individually or combined as Mx-MeDIP-Seq. Moreover, multiplexed MeDIP led to more than 95% normalized percent recovery and a 25-fold enrichment ratio by qPCR, like the enrichment of the conventional method. This technique was successfully performed with as little as 25 ng of DNA, equivalent to 3400 to 6200 cells. Up to 10 different samples were processed simultaneously in a single run. Overall, the Mx-MeDIP-Seq method is cost-effective with faster processing to analyze DNA methylome, making this technique more suitable for high-throughput DNA methylome analysis. Conclusions: Mx-MeDIP-Seq is a cost-effective and efficient method for high-throughput DNA methylation analysis, offering faster processing and reduced sample requirements. This technique makes DNA methylome analysis more accessible for large-scale studies.

Internal validation of the Precision ID GlobalFiler NGS STR panel v2 kit with locus-specific analytical threshold, and with special regard to mixtures and low template DNA detection

We performed an internal laboratory validation of the Precision ID GlobalFiler NGS STR panel v2 kit to assist the introduction of the technology into the routine forensic casework practice. The study was designed and evaluated based not only on the key validation standards like sensitivity, stability, reproducibility, repeatability, mixture, and concordance, but we also tested the effect of reduced input DNA, we measured and applied locus-specific analytical threshold values, tested two different PCR cycle conditions, sequence artifacts and stutters were also analysed. During the study we also tested the new method on real casework samples. The sensitivity study confirmed that adding 500 pg template DNA for library preparation can be optimal at base PCR cycle number (that was 24), because the measured average heterozygote balance was not lower than 0.82, and each allele was detected above the analytical threshold. However, contrary to previous communications, increasing the PCR cycle numbers up to 28 has not resulted the significant elevation of the heterozygote imbalance. According to our results, raised PCR cycle condition (i.e. 28) is appropriate at or below 150 pg total input DNA. For most loci, the calculated AT was lower than the manufacturer’s recommended. Applying the newly established ATs with raised PCR cycle conditions the allele detection sensitivity and reliability increased. We observed allele dropouts only at the 15 pg template DNA experiments with 5 % frequency, that is better to previously published studies. This result indicates that this low amount of DNA (i.e. 15 pg) could be a minimum limit of template input for a potentially successful analysis. In the mixture study the minor contributor could be detected up to 1:19 mixture ratio. We detected minor alleles in all measurements and concentrations above the threshold if the template DNA were fixed and only SNP differences were observed between the same alleles of the contributors. To test concordance between the new method and traditional STR genotyping we analysed 58 Hungarian individual samples in parallel. Nearby the detected 248 different length-based alleles on the 31 loci in the sample pool we revealed additional 75 sequence variant alleles, that represent an approximately 23 % increase in the total number of observed alleles. The casework study confirmed that the Precision ID GlobalFiler NGS STR panel v2 kit is effective even in genotyping degraded samples with extremely low levels of DNA, if we apply elevated cycle number for library preparation and use locus-specific analytical thresholds.

Exploring nanopore direct sequencing performance of forensic STRs, SNPs, InDels, and DNA methylation markers in a single assay

IntroductionThe field of forensic DNA analysis has undergone rapid advancements in recent decades. The integration of massively parallel sequencing (MPS) has notably expanded the forensic toolkit, moving beyond identity matching to predicting phenotypic traits and biogeographical ancestry. This shift is of particular significance in cases where conventional DNA profiling fails to identify a single suspect. Supplementing forensic analyses with estimated biological age may be valuable but involves a complex and time-consuming DNA methylation analysis. This study explores and validates the performance of a comprehensive forensic third-generation sequencing assay utilizing Oxford Nanopore Technologies (ONT) in an adaptive and direct sequencing approach. We incorporated the most widely used forensic markers, i.e., STRs, SNPs, InDels, mitochondrial DNA (mtDNA), and two methylation-based clock classifiers, thereby combining forensic genetic and epigenetic analysis in one single workflow. Methods and resultsIn our investigation, DNA from six anonymous individuals was sequenced using the ONT standard adaptive direct sequencing approach, reaching a mean percentage of on-target reads ranging from 6.6 % to 7.7 % per sample. ONT data was compared to standard MPS data and Illumina EPIC DNA methylation profiles. Basecalling employed recommended ONT software packages. TREAT was used for ONT-based analysis of autosomal and Y-chromosome STRs, achieving 90–92 % correct calls depending on allelic read depth thresholds. InDel analyses for two lower-quality samples proved challenging due to inadequate read depth, while the remaining four samples significantly contributed to the observed percentage markers (60.9 %) and correct calls (97.8 %). SNP analysis achieved a 98 % call rate, with only two mismatches and two missed alleles. ONT-generated DNA methylation data demonstrated Pearson’s correlation coefficients with EPIC data ranging from 0.67 to 0.97 for Horvath’s clock. Additional age-associated markers exhibited Pearson’s correlation coefficients with chronological age between 0.14 (ELOVL2) and 0.96 (FHL2) at read depths of <30 and <20, respectively. Despite excluding mtDNA from our targeted sequencing approach, adaptive proof-reading fragments covered the complete mtDNA with an average read depth of 21–72, showing 100 % concordance with reference data. DiscussionOur exploratory study using ONT adaptive sequencing for conventional forensic and age associated DNA methylation markers showed high sequencing accuracy for a significant number of markers, showcasing ONT as a promising (epi)genetic forensic method. Future studies must address three critical aspects: determining clear quantity and quality measures and detection thresholds for accuracy, optimizing input DNA quantity for forensic casework expectations, and addressing ethical considerations associated with phenotype and ancestry analysis to prevent ethnic biases.

B-025 Revolutionizing NGS-driven Laboratory Developed Tests: The impact of automated liquid handling on plate-based bead clean-up

Abstract Background Automated liquid handling systems are proving to be a transformative technology in the landscape of Laboratory Developed Tests (LDTs), especially those utilizing Next-Generation Sequencing (NGS). By enhancing accuracy, boosting efficiency, and offering scalable solutions, these systems enable labs to meet current and future challenges more effectively. The right system not only improves the quality of diagnostics but also positions labs to be agile and adaptive in a rapidly advancing healthcare environment. firefly® is a well-suited liquid handling solution for diagnostics labs developing LDTs due to its compact footprint, user-friendly software and exceptional versatility. Validated protocol templates that support NGS library preparation are readily available from the firefly cloud and can be adapted to meet specific lab needs. For example, automated bead-based clean-ups designed for 96- and 384- NGS applications are available on firefly. These remove DNA fragments of undesirable sizes, enzymes or primers rom the amplified DNA after a PCR reaction. Automating this process facilitates higher throughput and scaling. firefly has a unique combination of 6 positive displacement dispense heads and a 96/384-well air-displacement pipetting head, making it ideal to distribute the reagents required for bead clean-ups. Methods firefly protocols were developed and optimized to be compatible with a range of elution volumes and bead ratios. Protocol performance was tested using library DNA (∼300bp). The same input DNA was plated out and quantified using the QuantiFluor dsDNA system (Promega) before and after running the protocol. This data was used to assess any reduction in DNA concentration and uniformity across the plate. The protocol's ability to successfully modulate the fragment size distribution was demonstrated using a 50bp DNA ladder and different bead ratios. Data was obtained using a Fragment Analyzer (Agilent, DNF-474 HS NGS Fragment Kit). Well-to-well contamination was assessed by running no-template-controls (NTCs) in wells adjacent to library DNA, then analyzed by qPCR using a LightCycler 480 System (Roche, KAPA Library Quantification kit). Results 96 format has a setup time of 10 minutes, run time of 43 and %CV library concentration of &amp;lt;6%. 384 format has a setup time of 10 minutes, run time of 47 and %CV library concentration of &amp;lt;8%. Uniformity of concentration and fragment sizes was seen across the plates. Comparison of the library concentration before and after the clean-up showed a 5% reduction in DNA concentration after the 96-well plate clean-up and an 11% reduction in library concentration when using the 384-well plate clean-up. Fragment size analysis showed that fragment sizes can be successfully modulated on firefly by changing the bead ratio of the firefly run and no detectable well-to-well contamination was detected by qPCR. Conclusions We have demonstrated that automated bead clean-ups on firefly are uniform show uniformity across both 96- and 384-well plates, with no detectable well-to-well contamination, to deliver the consistent and robust results required for an LDT. Bead-based cleanups on firefly offer a fast, 100% walkaway solution. By running 96-samples at once on firefly, we see approximately a 6-fold increase in throughput than when performed manually by a single user.

Integrating allele-specific PCR with CRISPR-Cas13a for sensitive KRAS mutation detection in pancreatic cancer

BackgroundThe clustered regulatory interspaced short palindromic repeats (CRISPR)-Cas13a system has strong potential for highly sensitive detection of exogenous sequences. The detection of KRASG12 point mutations with low allele frequencies may prove powerful for the formal diagnosis of pancreatic ductal adenocarcinoma (PDAC).ResultsWe implemented preamplification of KRAS alleles (wild-type and mutant) to reveal the presence of mutant KRAS with CRISPR-Cas13a. The discrimination of KRASG12D from KRASWT was poor for the generic KRAS preamplification templates and depended on the crRNA design, the secondary structure of the target templates, and the nature of the mismatches between the guide and the templates. To improve the specificity, we used an allele-specific PCR preamplification method called CASPER (Cas13a Allele-Specific PCR Enzyme Recognition). CASPER enabled specific and sensitive detection of KRASG12D with low DNA input. CASPER detected KRAS mutations in DNA extracted from patients’ pancreatic ultrasound-guided fine-needle aspiration fluid.ConclusionCASPER is easy to implement and is a versatile and reliable method that is virtually adaptable to any point mutation.

Rapid genome-wide profiling of DNA methylation and genetic variation using guide positioning sequencing (GPS).

Whole-genome bisulfite sequencing (WGBS) has been extensively utilized for DNA methylation profiling over the past decade. However, it has shown limitations in terms of high costs and inefficiencies. The productivity and accuracy of DNA methylation detection rely critically on the optimization of methodologies and the continuous refinements of related sequencing platforms. Here, we describe a detailed protocol of guide positioning sequencing (GPS), a bisulfite-based, location-specific sequencing technology designed for comprehensive DNA methylation characterization across the genome. The fundamental principle of GPS lies in the substitution of dCTP with 5-methyl-dCTP (5mC) at the 3'-end of DNA fragments by T4 DNA polymerase, which protects cytosines from bisulfite conversion to preserve the integrity of the base composition. This alteration allows the 3'-end to independently facilitate genetic variation profiling and guides the 5'-end, enriched with methylation information, to align more rapidly to the reference genome. Hence, GPS enables the concurrent detection of both genetic and epigenetic variations. Additionally, we provide an accessible description of the data processing, specifically involving certain software and scripts. Overall, the entire GPS procedure can be completed within a maximum of 15days, starting with a low initial DNA input of 100-500ng, followed by 4-5days for library construction, 8-10days for high-throughput sequencing (HTS) and data analysis, which can greatly facilitate the promotion and application of DNA methylation detection, especially for the rapid clinical diagnosis of diverse disease pathologies associated with concurrent genetic and epigenetic variations.

DNA-Origami-Armored DNA Condensates.

DNA condensates, formed by liquid-liquid phase separation (LLPS), emerge as promising soft matter assemblies for creating artificial cells. The advantages of DNA condensates are their molecular permeability through the surface due to their membrane-less structure and their fluidic property. However, they face challenges in the design of their surface, e. g., unintended fusion and less regulation of permeable molecules. Addressing them, we report surface modification of DNA condensates with DNA origami nanoparticles, employing a Pickering-emulsion strategy. We successfully constructed core-shell structures with DNA origami coatings on DNA condensates and further enhanced the condensate stability toward fusion via connecting DNA origamis by responding to DNA input strands. The 'armoring' prevented the fusion of DNA condensates, enabling the formation of multicellular-like structures of DNA condensates. Moreover, the permeability was altered through the state change from coating to armoring the DNA condensates. The armored DNA condensates have significant potential for constructing artificial cells, offering increased surface stability and selective permeability for small molecules while maintaining compartmentalized space and multicellular organization.

A modified dual preparatory method for improved isolation of nucleic acids from laser microdissected fresh-frozen human cancer tissue specimens.

A central theme in cancer research is to increase our understanding of the cancer tissue microenvironment, which is comprised of a complex and spatially heterogeneous ecosystem of malignant and non-malignant cells, both of which actively contribute to an intervening extracellular matrix. Laser microdissection (LMD) enables histology selective harvest of cellular subpopulations from the tissue microenvironment for their independent molecular investigation, such as by high-throughput DNA and RNA sequencing. Although enabling, LMD often requires a labor-intensive investment to harvest enough cells to achieve the necessary DNA and/or RNA input requirements for conventional next-generation sequencing workflows. To increase efficiencies, we sought to use a commonplace dual preparatory (DP) procedure to isolate DNA and RNA from the same LMD harvested tissue samples. While the yield of DNA from the DP protocol was satisfactory, the RNA yield from the LMD harvested tissue samples was significantly poorer compared to a dedicated RNA preparation procedure. We determined that this low yield of RNA was due to incomplete partitioning of RNA in this widely used DP protocol. Here, we describe a modified DP protocol that more equally partitions nucleic acids and results in significantly improved RNA yields from LMD-harvested cells.

It’s all relative: A multi-generational study using ForenSeq™ Kintelligence

The successful application of Forensic Investigative Genetic Genealogy (FIGG) to the identification of unidentified human remains and perpetrators of serious crime has led to a growing interest in its use internationally, including Australia. Routinely, FIGG has relied on the generation of high-density single nucleotide polymorphism (SNP) profiles from forensic samples using whole genome array (WGA) (∼650,000 or more SNPs) or whole genome sequencing (WGS) (millions of SNPs) for DNA segment-based comparisons in commercially available genealogy databases. To date, this approach has required DNA of a quality and quantity that is often not compatible with forensic samples. Furthermore, it requires the management of large data sets that include SNPs of medical relevance. The ForenSeq™ Kintelligence kit, comprising of 10,230 SNPs including 9867 for kinship association, was designed to overcome these challenges using a targeted amplicon sequencing-based method developed for low DNA inputs, inhibited and/or degraded forensic samples. To assess the ability of the ForenSeq™ Kintelligence workflow to correctly predict biological relationships, a comparative study comprising of 12 individuals from a family (with varying degrees of relatedness from 1st to 6th degree relatives) was undertaken using ForenSeq™ Kintelligence and a WGA approach using the Illumina Global Screening Array-24 version 3.0 Beadchip. All expected 1st, 2nd, 3rd, 4th and 5th degree relationships were correctly predicted using ForenSeq™ Kintelligence, while the expected 6th degree relationships were not detected. Given the (often) limited availability of forensic samples, findings from this study will assist Australian Law enforcement and other agencies considering the use of FIGG, to determine if the ForenSeq™ Kintelligence is suitable for existing workflows and casework sample types considered for FIGG.

Inter-laboratory comparison of eleven quantitative or digital PCR assays for detection of proviral bovine leukemia virus in blood samples

Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leukosis and causes a persistent infection that can leave cattle with no symptoms. Many countries have been able to successfully eradicate BLV through improved detection and management methods. However, with the increasing novel molecular detection methods there have been few efforts to standardize these results at global scale. This study aimed to determine the interlaboratory accuracy and agreement of 11 molecular tests in detecting BLV. Each qPCR/ddPCR method varied by target gene, primer design, DNA input and chemistries. DNA samples were extracted from blood of BLV-seropositive cattle and lyophilized to grant a better preservation during shipping to all participants around the globe. Twenty nine out of 44 samples were correctly identified by the 11 labs and all methods exhibited a diagnostic sensitivity between 74 and 100%. Agreement amongst different assays was linked to BLV copy numbers present in samples and the characteristics of each assay (i.e., BLV target sequence). Finally, the mean correlation value for all assays was within the range of strong correlation. This study highlights the importance of continuous need for standardization and harmonization amongst assays and the different participants. The results underscore the need of an international calibrator to estimate the efficiency (standard curve) of the different assays and improve quantitation accuracy. Additionally, this will inform future participants about the variability associated with emerging chemistries, methods, and technologies used to study BLV. Altogether, by improving tests performance worldwide it will positively aid in the eradication efforts.

Application of the Agilent 2100 Bioanalyzer instrument as quality control for next-generation sequencing.

Next-generation sequencing (NGS) technologies have expanded the spectrum of forensic DNA analysis by facilitating efficient and precise genotyping of a large number of genetic markers. Yet, challenges persist regarding complex sample processing and assurance of equal molar concentrations across pooled samples. Since optimal cluster density is crucial for sequencing performance, the determination of both quantity and quality is indispensable for library preparation. In this study, we investigated the application of the Agilent 2100 Bioanalyzer for library quality control, as studies for forensic approaches, particularly for highly degraded postmortem samples, are rare. Our analysis encompassed assessing total DNA concentrations, fluorescence unit (FU) values, and adapter dimer concentrations in purified DNA libraries derived from buccal swabs and tissue samples of decomposed corpses. The sensitivity study tested a serial dilution derived from buccal swabs and revealed a decrease in FU values and an increase in adapter dimers with declining DNA input concentrations. Deviations in total DNA concentrations and average peak heights between the Agilent 2100 Bioanalyzer runs indicated a lack of repeatability in data and presented challenges in accurate quantification, which was also observed in previous studies. Yet, the analysis of degraded samples from decomposed human remains has shown the ability to detect adapter dimer concentrations, which can be crucial for the quality of subsequent NGS library preparation and sequencing success. Therefore, the Agilent 2100 Bioanalyzer proves to be a valuable tool for NGS quality control.

Development of multiplex digital PCR based droplex NSCLC panel test for detecting major mutations in patients with non-small cell lung cancer (NSCLC).

46 Background: Recently, in the treatment of non-small cell lung cancer(NSCLC) patient, immunotherapies and targeted therapies aimed at various genes have been developed. Next-Generation Sequencing(NGS) technology is currently known as the only method for detecting genetic alterations in many different genes simultaneously. However, this technology requires a substantial amount of DNA or RNA input from patients to obtain high-quality results in a clinical setting. We have developed a Droplex NSCLC Panel Test Kit based on multiplex digital PCR, which is known as ideal molecular diagnostic technique due to its simple workflow, minimal sample input, high sensitivity and specificity. In addition, it has a one-day TAT (Turn around time) and low costs compared NGS, resulting in a lower financial burden for patients. Recently, the development of non-invasive liquid biopsy diagnostics as an alternative to tissue biopsy is emerging important issue. The kit, applying a digital PCR platform, enables multiple mutation detection using plasma samples of blood. The digital PCR-based Droplex NSCLC Panel Test Kit is designed to detect over 170 key mutations in 11 genes, namely EGFR, ALK, ROS1, BRAF, MET, RET, KRAS, HER2, NTRK1, NTRK2, and NTRK3, using DNA and RNA extracted from NSCLC FFPET and plasma samples. Methods: The Droplex NSCLC Panel Test Kit consists of four Oligo Mixtures (OMs) for detecting mutations of 4 genes on DNA and two OMs for detecting 7 gene rearrangements on RNA. After extracting DNA and RNA from a single sample, cDNA synthesis from RNA is prioritized, followed by simultaneous execution of droplet generation, PCR processes, and data analysis. The kit test was based on QX600 droplet digital PCR system of Bio-rad with 6 fluorescent channels. To validate the analytical performance of the Droplex NSCLC Panel Test Kit for each type of sample, DNA and RNA samples were extracted from FFPET sections and plasma isolated from NSCLC patients. Each type of samples, contrived samples were manufactured and tested for analytical performance. Results: The results showed that DNA/RNA multiple mutations can be detected simultaneously on a 6-fluorescent channel system. The kit was highly sensitive for low-input sample in dilutions studies ranging from 5 to 20ng DNA or RNA for FFPET samples and plasma sample. The Digital PCR NSCLC panel test detected an analytical specificity of 100% and detection limit of 0.25% or higher for all genes included in the kit. Conclusions: We demonstrated that the performance of the Droplex NSCLC Panel Test is reliable and effective for the detection of above 170 clinically relevant mutations of 11 genes in FFPET and plasma samples of patients with NSCLC. Additionally, it will be necessary to evaluate the utility of the kit through further clinical studies with NSCLC patients, as well as expanding its compatibility to various digital PCR platforms.

Rapid identification of Africanized honey bee Apis mellifera (hymenoptera: apidae) using high-resolution melting analysis DNA from honey

Genetic characterization of honey bee populations, particularly the identification of Africanized honey bees, has traditionally been based on different molecular methods that involve the amplification and analysis of different regions of the mitochondrial or nuclear genome which often take a long time. We introduce high-resolution melting analysis (HRM) as a novel approach for rapid and cost-effective identification of the African lineage in Apis mellifera populations from mitochondrial DNA extracted from honey. Samples were collected from 111 apiaries in 13 Argentinean provinces between 2012 and 2018. Total DNA was extracted from 10 g honey sediment and subjected to quantitative PCR (qPCR) using specific primers (APIS-F/Afr207R) amplifying a 207 bp product. Positive controls (Africanized/Non-Africanized) were used for mitotype validation and a subset of qPCR products were sequenced to compare different haplotypes. HRM analysis enabled the quick detection of sequence polymorphisms in short amplicons generated by qPCR. Among the analyzed apiaries, 26 located above 35° S in Misiones, La Rioja, Catamarca, Formosa, Corrientes, Córdoba, and Santa Fé exhibited the Africanized mitotypes while the remaining apiaries below this latitude, mainly in Buenos Aires, Rio Negro, Neuquén, and Entre Ríos, showed the European mitotypes. These results align with previous characterizations in the region. HRM analysis demonstrated high sensitivity and effectiveness, requiring minimal DNA input, and reducing costs and sampling efforts. This approach provides a rapid and reliable method for identifying the African lineage, facilitating honey bee breeding programs, conservation efforts, and management strategies in regions with Africanized honey bee populations.