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Driving efficiency in a high-throughput metabolic stability assay through a generic high-resolution accurate mass method and automated data mining.

ABSTRACT: Improving analytical throughput is the focus of many quantitative workflows being developed for early drug discovery. For drug candidate screening, it is common practice to use ultra-high performance liquid chromatography (U-HPLC) coupled with triple quadrupole mass spectrometry. This approach certainly results in short analytical run time; however, in assessing the true throughput, all aspects of the workflow needs to be considered, including instrument optimization and the necessity to re-run samples when information is missed. Here we describe a high-throughput metabolic stability assay with a simplified instrument set-up which significantly improves the overall assay efficiency. In addition, as the data is acquired in a non-biased manner, high information content of both the parent compound and metabolites is gathered at the same time to facilitate the decision of which compounds to proceed through the drug discovery pipeline.

SUBMITTER: Shui W

PROVIDER: S-EPMC4875332 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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Driving efficiency in a high-throughput metabolic stability assay through a generic high-resolution accurate mass method and automated data mining.

Shui Wenqing W Lin Song S Zhang Allen A Chen Yan Y Huang Yingying Y Sanders Mark M

Protein & cell 20110801 8

Improving analytical throughput is the focus of many quantitative workflows being developed for early drug discovery. For drug candidate screening, it is common practice to use ultra-high performance liquid chromatography (U-HPLC) coupled with triple quadrupole mass spectrometry. This approach certainly results in short analytical run time; however, in assessing the true throughput, all aspects of the workflow needs to be considered, including instrument optimization and the necessity to re-run ...[more]

PMID: 21904983

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Project description:BACKGROUND:In a high-throughput environment, to PCR amplify and sequence a large set of viral isolates from populations that are potentially heterogeneous and continuously evolving, the use of degenerate PCR primers is an important strategy. Degenerate primers allow for the PCR amplification of a wider range of viral isolates with only one set of pre-mixed primers, thus increasing amplification success rates and minimizing the necessity for genome finishing activities. To successfully select a large set of degenerate PCR primers necessary to tile across an entire viral genome and maximize their success, this process is best performed computationally. RESULTS:We have developed a fully automated degenerate PCR primer design system that plays a key role in the J. Craig Venter Institute's (JCVI) high-throughput viral sequencing pipeline. A consensus viral genome, or a set of consensus segment sequences in the case of a segmented virus, is specified using IUPAC ambiguity codes in the consensus template sequence to represent the allelic diversity of the target population. PCR primer pairs are then selected computationally to produce a minimal amplicon set capable of tiling across the full length of the specified target region. As part of the tiling process, primer pairs are computationally screened to meet the criteria for successful PCR with one of two described amplification protocols. The actual sequencing success rates for designed primers for measles virus, mumps virus, human parainfluenza virus 1 and 3, human respiratory syncytial virus A and B and human metapneumovirus are described, where >90% of designed primer pairs were able to consistently successfully amplify >75% of the isolates. CONCLUSIONS:Augmenting our previously developed and published JCVI Primer Design Pipeline, we achieved similarly high sequencing success rates with only minor software modifications. The recommended methodology for the construction of the consensus sequence that encapsulates the allelic variation of the targeted population and is a key step prior to designing degenerate primers is also formally described.

Project description:A rare viroid disease, Orange Spotting (OS), has been associated with Coconut cadang-cadang viroid variant (named OS-CCCVd) in oil palm. The low concentration of OS-CCCVd in oil palm leaf tissues makes it tedious to obtain high-quality RNA. Various conventional extraction protocols are available for extracting RNA; however, the bottleneck to the methods is the acquisition of good yields of high-quality RNA suitable for use in viroid detection. Studies looking into the automation of magnetic bead extraction systems for viroid detection in oil palm are limited. In this study, we have compared four extraction methods, namely the MagMAX™ mirVana Total RNA isolation kit (Mag-A), MagMAX™ plant RNA isolation kit (Mag-B), modification of MagMAX™ mirVana Total RNA isolation kit (Mag-Mod) and the convention method (NETME buffer). The KingFisher Flex System uses a 96-well plate format for the three automated approaches. The major modification in the Mag-Mod protocol is the inclusion of lithium chloride solution and NETME buffer to the lysis buffer (which enhances RNA recovery) and the reduction in the volume of reagents used per reaction and run conditions, including time. High-quality small RNA was produced as a result of altering the buffers and reagent volume in the Mag-Mod method, which also increased sample productivity (48 samples per day) and detection sensitivity. These effects indirectly decreased the number of technical replicates in a run. Importantly, the alteration permitted the use of ground plant tissue samples with a small sample amount of 0.05- 0.1 g as opposed to the 2-4 grequired with the conventional method. The development of the modified Mag-Mod method using the 96-deep well plate with a magnetic bead system vastly increased our sample throughput, complementing the detection methods (e.g. RT-PCR and HRM-qPCR). Aside from developing an improved extraction method (Mag-Mod method), a novel HRM-qPCR assay successfully differentiated OS-CCCVd variants and identified the presence of OS-CCCVd in samples, obviating the need for Sanger Sequencing.

Dataset Information

Driving efficiency in a high-throughput metabolic stability assay through a generic high-resolution accurate mass method and automated data mining.

Publications

Driving efficiency in a high-throughput metabolic stability assay through a generic high-resolution accurate mass method and automated data mining.

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