scholarly journals Improved transposon-based library preparation for the Ion Torrent platform

BioTechniques ◽  
2015 ◽  
Vol 58 (4) ◽  
Author(s):  
Tatyana Gorbacheva ◽  
Wilber Quispe-Tintaya ◽  
Vasily N. Popov ◽  
Jan Vijg ◽  
Alexander Y. Maslov
protocols.io ◽  
2021 ◽  
Author(s):  
Elias Dahdouh ◽  
Fernando Lázaro Perona ◽  
María Rodríguez Tejedor ◽  
Rubén Cáceres Sánchez ◽  
Iván Bloise Sánchez ◽  
...  

Author(s):  
Amina Abed ◽  
Gaétan Légaré ◽  
Sonia Pomerleau ◽  
Jérôme St-Cyr ◽  
Brian Boyle ◽  
...  

2014 ◽  
Vol 80 (24) ◽  
pp. 7583-7591 ◽  
Author(s):  
Stephen J. Salipante ◽  
Toana Kawashima ◽  
Christopher Rosenthal ◽  
Daniel R. Hoogestraat ◽  
Lisa A. Cummings ◽  
...  

ABSTRACTHigh-throughput sequencing of the taxonomically informative 16S rRNA gene provides a powerful approach for exploring microbial diversity. Here we compare the performances of two common “benchtop” sequencing platforms, Illumina MiSeq and Ion Torrent Personal Genome Machine (PGM), for bacterial community profiling by 16S rRNA (V1-V2) amplicon sequencing. We benchmarked performance by using a 20-organism mock bacterial community and a collection of primary human specimens. We observed comparatively higher error rates with the Ion Torrent platform and report a pattern of premature sequence truncation specific to semiconductor sequencing. Read truncation was dependent on both the directionality of sequencing and the target species, resulting in organism-specific biases in community profiles. We found that these sequencing artifacts could be minimized by using bidirectional amplicon sequencing and an optimized flow order on the Ion Torrent platform. Results of bacterial community profiling performed on the mock community and a collection of 18 human-derived microbiological specimens were generally in good agreement for both platforms; however, in some cases, results differed significantly. Disparities could be attributed to the failure to generate full-length reads for particular organisms on the Ion Torrent platform, organism-dependent differences in sequence error rates affecting classification of certain species, or some combination of these factors. This study demonstrates the potential for differential bias in bacterial community profiles resulting from the choice of sequencing platform alone.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4444-4444
Author(s):  
Georgia M. Andrew ◽  
Laura W. Dillon ◽  
Maria Saeed ◽  
Ting-Chia Chang ◽  
Srikrishna K. Narava ◽  
...  

Abstract Background: In the last decade there have been significant advances in diagnosing and classifying adult acute myeloid leukemia (AML) based on genomic profiling, enabling risk-stratification and targeted therapies. In 2017 the US FDA approved the first gene mutation targeted therapies for AML with multiple additional targeted therapies since approved or in development. Given the typical acuity of AML at initial presentation however and the current turnaround time for next-generation sequencing (NGS) assays, most patients will start definitive initial therapy before all potentially targetable mutations are known. There is, therefore, a significant need for a fast molecular genotyping test to determine eligibility for personalized therapy in AML. The NCI Myeloid Assay (NMA) is a comprehensive targeted NGS assay on the Ion Torrent Genexus System, a fully automated platform that provides a rapid turnaround time from specimen receipt to clinical reporting. NMA utilizes Thermo Fisher Scientific's Oncomine Myeloid Assay GX and appears ideally suited for use in upcoming AML targeted therapy trials but has yet to be extensively tested in a cohort of AML patient diagnostic samples and compared to a standard targeted "myeloid panel" NGS assay platform (s-NGS). Methods: DNA samples (n=173) extracted from pretreatment bone marrow and/or peripheral blood of adult patients (n=112) diagnosed with de novo AML or high-risk myelodysplastic syndrome (MDS), were blindly tested in parallel using the NMA and s-NGS assays. For the NMA assay, 27.75ng of DNA was put into the Genexus System. All runs, controls, and samples were first analyzed for sequencing quality using established quality control (QC) metrics to assess pass/fail status. For all samples that passed QC metrics, variant results generated by the Ion Torrent Genexus pipeline were manually reviewed prior to being called true positive variants. For the s-NGS, using the ArcherDx Myeloid VariantPlex assay, a DNA input of 50ng was used for library preparation on a dual pre- and post-PCR separated automated liquid-handling workflow. Resulting libraries were sequencing on the Novaseq 6000 (Illumina) and the data analyzed using the Archer Analysis software and filtered as previously described (PMID: 34258102). Results from the two assays were compared for mutations with a variant allele fraction (VAF) >5% occurring in genes of interest in small molecule targeted clinical trials including: FLT3, IDH1, IDH2, JAK2, KIT, NPM1, NRAS, KRAS, and TP53. For FLT3-ITD comparison, the presence or absence of a call by the assay was used. Results: Utilizing a 5% VAF reporting threshold, a total of 171 and 174 variants were detected by NMA and s-NGS assays, respectively. A high rate of concordance was observed between the assays, with NMA detecting 96% of s-NGS variants and s-NGS detecting 95% of NMA variants. The VAF of detected single nucleotide variants was highly correlated (r=0.9848, P<0.0001, Figure 1A). NPM1 mutation VAF values trended lower by s-NGS compared to NMA. We investigated the discordant calls (n=15 total in 11 patients). One patient was correctly identified as having an NRAS p.Gly12 mutation by both approaches, but the resulting mutation was incorrectly annotated by the s-NGS pipeline. Samples from two patients (including one with both blood and marrow tested) were correctly identified as being FLT3 tyrosine kinase domain mutated by both sequencing approaches, although only the major of two missense variants identified by s-NGS was reported by the NMA pipeline. None of these patients, however, would be misclassified. The remaining 11 discordant calls were false negatives (including 6 variants detected by s-NGS but not by NMA). All of these "edge case" variants were detectable by lowering the VAF reporting threshold below 5% (Figure 1B). Conclusions: NMA is an automated sample-to-results workflow that can identify myeloid disorder-associated genomic variants in less than 48 hours from library preparation to clinical reporting. We show that NMA is highly concordant with a standard DNA NGS assay for detecting mutations within recurrently mutated AML genes. Accurate rapid genotyping is required for assignment to initial treatment with targeted therapy, and this technology may be a valuable tool for upcoming clinical trials for patients with myeloid malignancies. Figure 1 Figure 1. Disclosures Zhang: Thermo Fisher Scientific: Current Employment. Sedova: Thermo Fisher Scientific: Current Employment. Huang: Thermo Fisher Scientific: Current Employment. Mittal: Thermo Fisher Scientific: Current Employment. Hatch: Thermo Fisher Scientific: Current Employment. Ni: Thermo Fisher Scientific: Current Employment. Kaznadzey: Thermo Fisher Scientific: Current Employment. Sadis: Thermo Fisher Scientific: Current Employment. Smith: Thermo Fisher Scientific: Current Employment. Williams: Illumina: Other: CRADA. Hourigan: Sellas: Research Funding.


2021 ◽  
Author(s):  
Carli B Jones ◽  
James R White ◽  
Sarah E Ernst ◽  
Karen S Sfanos ◽  
Lauren B Peiffer

Short read 16S rRNA amplicon sequencing is a common technique used in microbiome research. However, inaccuracies in estimated bacterial community composition can occur due to amplification bias of the targeted hypervariable region. A potential solution is to sequence and assess multiple hypervariable regions in tandem, yet there is currently no consensus as to the appropriate method for analyzing this data. Additionally, there are many sequence analysis resources for data produced from the Illumina platform, but fewer open-source options available for data from the Ion Torrent platform. Herein, we present an analysis pipeline using an open-source analysis platform that integrates data from multiple hypervariable regions and is compatible with data produced from the Ion Torrent platform. We used the ThermoFisher Ion 16S™ Metagenomics Kit and a mock community of 20 bacterial strains to assess taxonomic classification of amplicons from 6 separate hypervariable regions (V2, V3, V4, V6-7, V8, V9) using our analysis pipeline. We report that different hypervariable regions have different specificities for taxonomic classification, which also had implications for global level analyses such as alpha and beta diversity. Finally, we utilize a generalized linear modeling approach to statistically integrate the results from multiple hypervariable regions and apply this methodology to data from a small clinical cohort. We conclude that scrutinizing sequencing results separately by hypervariable region provides a more granular view of the taxonomic classification achieved by each primer set as well as the concordance of results across hypervariable regions. However, the data across all hypervariable regions can be combined using generalized linear models to statistically evaluate overall differences in community structure and relatedness among sample groups.


2019 ◽  
Author(s):  
Rachel L. Marine ◽  
Laura C. Magaña ◽  
Christina J. Castro ◽  
Kun Zhao ◽  
Anna M. Montmayeur ◽  
...  

ABSTRACTNext-generation sequencing is a powerful tool for virological surveillance. While Illumina® and Ion Torrent® sequencing platforms are used extensively for generating viral RNA genome sequences, there is limited data comparing different platforms. We evaluated the Illumina MiSeq, Ion Torrent PGM and Ion Torrent S5 platforms using a panel of sixteen specimens containing picornaviruses and human caliciviruses (noroviruses and sapoviruses). The specimens were processed, using combinations of three library preparation and five sequencing kits, to assess the quality and completeness of assembled viral genomes, and an estimation of cost per sample to generate the data was calculated. The choice of library preparation kit and sequencing platform was found to impact the breadth of genome coverage and accuracy of consensus viral genomes. The Ion Torrent S5 outperformed the older Ion Torrent PGM platform in data quality and cost, and generated the highest proportion of reads for enterovirus D68 samples. However, indels at homopolymer regions impacted the accuracy of consensus genome sequences. For lower throughput sequencing runs (i.e., Ion Torrent 510 or Illumina MiSeq Nano V2), the cost per sample was lower on the MiSeq platform, whereas with higher throughput runs (Ion Torrent 530 or Illumina MiSeq V2) the cost per sample was comparable. These findings suggest that the Ion Torrent S5 and Illumina MiSeq platforms are both viable options for genomic sequencing of RNA viruses, each with specific advantages and tradeoffs.


2020 ◽  
Vol 3 (1) ◽  
pp. 44-47
Author(s):  
Boban Dobrevski ◽  
Elena Shukarova Angelovska ◽  
Meri Kirijas ◽  
Gorjan Milanovski ◽  
Teodora Brnjarchevska Blazhevska ◽  
...  

Noonan syndrome (NS) is a genetic autosomal dominant condition, caused by mutations in PTPN11 and other genes. The aim of this report is to highlight a finding of a rare mutation in the RAF1 gene in a six-year-old child evaluated for Noonan Syndrome. An Ampliseq Research Panel covering A2ML1, BRAF, CBL, HRAS, KRAS, MAP2K1, MAP2K2, NRAS, PTPN11, RAF1, RIT1, SHOC2, SOS1 and SPRED1 genes was used on the Ion Torrent platform. Out of 54 variants detected, a single nucleotide missense mutation c.483T>G in the RAF1 gene was classified as likely pathogenic, based on a single previous submission to Clinvar. Further investigations may shed light on the possible role of this variant in the pathogenesis of Noonan Syndrome and other RASopathies.


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