Dataset Information

Modified Genomic Sequencing PCR Using the MiSeq Platform to Identify Retroviral Integration Sites.

ABSTRACT: High-throughput mapping of retroviral vector integration sites (RIS) has become an invaluable tool to evaluate novel gene therapy vectors and to track clonal contribution in preclinical and clinical studies. Beard et al. (Methods Mol Biol 2014;1185:321-344) described an improved protocol developed for efficient capture, sequencing, and analysis of RIS that preserves gene-modified clonal contribution information. Here we describe adaptations to the previously published modified genomic sequencing PCR (MGS-PCR) protocol using the Illumina MiSeq paired-end sequencing platform. Lentiviral, gammaretroviral, and foamy virus vector integrations were analyzed. MGS-PCR using the MiSeq platform allows for the use of merged paired-end reads, which allows for efficient localization of RIS to published genomes.

SUBMITTER: Rae DT

PROVIDER: S-EPMC4677540 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Modified Genomic Sequencing PCR Using the MiSeq Platform to Identify Retroviral Integration Sites.

Rae Dustin T DT Collins Casey P CP Hocum Jonah D JD Browning Diana L DL Trobridge Grant D GD

Human gene therapy methods 20151020 6

High-throughput mapping of retroviral vector integration sites (RIS) has become an invaluable tool to evaluate novel gene therapy vectors and to track clonal contribution in preclinical and clinical studies. Beard et al. (Methods Mol Biol 2014;1185:321-344) described an improved protocol developed for efficient capture, sequencing, and analysis of RIS that preserves gene-modified clonal contribution information. Here we describe adaptations to the previously published modified genomic sequencing ...[more]

PMID: 26415022

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Project description:Illumina's MiSeq has become the dominant platform for gene amplicon sequencing in microbial ecology studies; however, various technical concerns, such as reproducibility, still exist. To assess reproducibility, 16S rRNA gene amplicons from 18 soil samples of a reciprocal transplantation experiment were sequenced on an Illumina MiSeq. The V4 region of 16S rRNA gene from each sample was sequenced in triplicate with each replicate having a unique barcode. The average OTU overlap, without considering sequence abundance, at a rarefaction level of 10,323 sequences was 33.4±2.1% and 20.2±1.7% between two and among three technical replicates, respectively. When OTU sequence abundance was considered, the average sequence abundance weighted OTU overlap was 85.6±1.6% and 81.2±2.1% for two and three replicates, respectively. Removing singletons significantly increased the overlap for both (~1-3%, p<0.001). Increasing the sequencing depth to 160,000 reads by deep sequencing increased OTU overlap both when sequence abundance was considered (95%) and when not (44%). However, if singletons were not removed the overlap between two technical replicates (not considering sequence abundance) plateaus at 39% with 30,000 sequences. Diversity measures were not affected by the low overlap as α-diversities were similar among technical replicates while β-diversities (Bray-Curtis) were much smaller among technical replicates than among treatment replicates (e.g., 0.269 vs. 0.374). Higher diversity coverage, but lower OTU overlap, was observed when replicates were sequenced in separate runs. Detrended correspondence analysis indicated that while there was considerable variation among technical replicates, the reproducibility was sufficient for detecting treatment effects for the samples examined. These results suggest that although there is variation among technical replicates, amplicon sequencing on MiSeq is useful for analyzing microbial community structure if used appropriately and with caution. For example, including technical replicates, removing spurious sequences and unrepresentative OTUs, using a clustering method with a high stringency for OTU generation, estimating treatment effects at higher taxonomic levels, and adapting the unique molecular identifier (UMI) and other newly developed methods to lower PCR and sequencing error and to identify true low abundance rare species all can increase reproducibility.

Project description:Autoinflammatory diseases occupy one of a group of primary immunodeficiency diseases that are generally thought to be caused by mutation of genes responsible for innate immunity, rather than by acquired immunity. Mutations related to autoinflammatory diseases occur in 12 genes. For example, low-level somatic mosaic NLRP3 mutations underlie chronic infantile neurologic, cutaneous, articular syndrome (CINCA), also known as neonatal-onset multisystem inflammatory disease (NOMID). In current clinical practice, clinical genetic testing plays an important role in providing patients with quick, definite diagnoses. To increase the availability of such testing, low-cost high-throughput gene-analysis systems are required, ones that not only have the sensitivity to detect even low-level somatic mosaic mutations, but also can operate simply in a clinical setting. To this end, we developed a simple method that employs two-step tailed PCR and an NGS system, MiSeq platform, to detect mutations in all coding exons of the 12 genes responsible for autoinflammatory diseases. Using this amplicon sequencing system, we amplified a total of 234 amplicons derived from the 12 genes with multiplex PCR. This was done simultaneously and in one test tube. Each sample was distinguished by an index sequence of second PCR primers following PCR amplification. With our procedure and tips for reducing PCR amplification bias, we were able to analyze 12 genes from 25 clinical samples in one MiSeq run. Moreover, with the certified primers designed by our short program-which detects and avoids common SNPs in gene-specific PCR primers-we used this system for routine genetic testing. Our optimized procedure uses a simple protocol, which can easily be followed by virtually any office medical staff. Because of the small PCR amplification bias, we can analyze simultaneously several clinical DNA samples with low cost and can obtain sufficient read numbers to detect a low level of somatic mosaic mutations.

Dataset Information

Modified Genomic Sequencing PCR Using the MiSeq Platform to Identify Retroviral Integration Sites.

Publications

Modified Genomic Sequencing PCR Using the MiSeq Platform to Identify Retroviral Integration Sites.

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