Anglia Ruskin Research Online (ARRO)
Browse

File(s) not publicly available

The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments

journal contribution
posted on 2023-07-26, 12:58 authored by Jim F. Huggett, Carole A. Foy, Vladimir Benes, Kerry Emslie, Jeremy A. Garson, Ross Haynes, Jan Hellemans, Mikael Kubista, Reinhold D. Mueller, Tania Nolan, Michael W. Pfaffl, Gregory L. Shipley, Jo Vandesompele, Carl T. Wittwer, Stephen A. Bustin
There is growing interest in digital PCR (dPCR) because technological progress makes it a practical and increasingly affordable technology. dPCR allows the precise quantification of nucleic acids, facilitating the measurement of small percentage differences and quantification of rare variants. dPCR may also be more reproducible and less susceptible to inhibition than quantitative real-time PCR (qPCR). Consequently, dPCR has the potential to have a substantial impact on research as well as diagnostic applications. However, as with qPCR, the ability to perform robust meaningful experiments requires careful design and adequate controls. To assist independent evaluation of experimental data, comprehensive disclosure of all relevant experimental details is required. To facilitate this process we present the Minimum Information for Publication of Quantitative Digital PCR Experiments guidelines. This report addresses known requirements for dPCR that have already been identified during this early stage of its development and commercial implementation. Adoption of these guidelines by the scientific community will help to standardize experimental protocols, maximize efficient utilization of resources, and enhance the impact of this promising new technology.

History

Refereed

  • Yes

Volume

59

Issue number

6

Page range

892-902

Publication title

Clinical Chemistry

ISSN

1530-8561

Publisher

American Association for Clinical Chemistry

Language

  • other

Legacy posted date

2013-04-22

Legacy Faculty/School/Department

ARCHIVED Faculty of Health, Social Care & Education (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC