Cited by 864Molecular Biology Techniques and ApplicationsClinical Laboratory Practices and Quality ControlMeta-analysis and systematic reviews

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

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Huggett, Jim F, Foy, Carole A, Benes, Vladimir, Emslie, Kerry, Garson, Jeremy A, Haynes, Ross, Hellemans, Jan, Kubista, Mikael, Mueller, Reinhold D, Nolan, Tania, Pfaffl, Michael W, Shipley, Gregory L, Vandesompele, Jo, Wittwer, Carl T, Bustin, Stephen A·2013·Clinical Chemistry

DOI 10.1373/clinchem.2013.206375

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Abstract

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.

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The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments
Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112797 · Cited by 16,303
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High-throughput droplet digital PCR system for absolute quantitation of DNA copy number
Hindson, B. J., Ness, K. D., Masquelier, D. A., Belgrader, P., Heredia, N. J., Makarewicz, A. J., Bright, I. J., Lucero, M. Y., Hiddessen, A. L., Legler, T. C., et al. (2011) · Analytical Chemistry · doi:10.1021/ac202028g · Cited by 2,792
Digital PCR
Vogelstein, B., & Kinzler, K. W. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.16.9236 · Cited by 1,770
Quantitative real-time RT-PCR – a perspective
Bustin, S. A., Benes, V, Nolan, T., & Pfaffl, M. W. (2005) · Journal of Molecular Endocrinology · doi:10.1677/jme.1.01755 · Cited by 1,321
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Pinheiro, L. B., Coleman, V. A., Hindson, C. M., Herrmann, J., Hindson, B. J., Bhat, S., & Emslie, K. R. (2011) · Analytical Chemistry · doi:10.1021/ac202578x · Cited by 1,089
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Genome instability: a mechanistic view of its causes and consequences
Aguilera, A., & Gómez‐González, B. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2268 · Cited by 830
Quantitation of targets for PCR by use of limiting dilution.
Sykes, P. J., Neoh, S. H., Brisco, M. J., Hughes, E., Condon, J. C., & Morley, A. A. (1992) · PubMed · Cited by 618
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Whale, A. S., Huggett, J. F., Cowen, S., Speirs, V., Shaw, J., Ellison, S., Foy, C. A., & Scott, D. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks203 · Cited by 453
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Self-citation
Reliable and robust droplet digital PCR (ddPCR) and RT-ddPCR protocols for mouse studies
Lindner, L., Cayrou, P., Jacquot, S., Birling, M., Hérault, Y., & Pavlovic, G. (2020) · Methods · doi:10.1016/j.ymeth.2020.07.004 · Cited by 43
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Authors: Huggett, J. F., Foy, C. A., Benes, V., Emslie, K., Garson, J. A., Haynes, R., Hellemans, J., Kubista, M., Mueller, R. D., Nolan, T., Pfaffl, M. W., Shipley, G. L., Vandesompele, J., Wittwer, C. T., & Bustin, S. A.
Affiliations: LGC (GB)
Genomics Core Facility, EMBL Heidelberg, Heidelberg, Germany
National Measurement Institute (AU)
University College London (GB)
National Institute of Standards and Technology (US)
Ghent University Hospital (BE)
Czech Academy of Sciences, Institute of Biotechnology (CZ)
Sequenom Center for Molecular Medicine, San Diego, CA
Sigma Custom Products, Haverhill, Suffolk, UK
Physiology Weihenstephan, Center of Life and Food Sciences Weihenstephan, Germany
Shipley Consulting, LLC, Houston, TX
University of Utah (US)
Anglia Ruskin University (GB)
Corresponding author: Huggett, Jim F
ORCID: Huggett, Jim F
Foy, Carole A
Emslie, Kerry
Garson, Jeremy A
Hellemans, Jan
Kubista, Mikael
Pfaffl, Michael W
Vandesompele, Jo
Wittwer, Carl T
Bustin, Stephen A
Venue: Clinical Chemistry
Publisher: Oxford University Press (OUP)
Published: 2013-06-01
Volume: 59
Issue: 6
Pages: 892-902
ISSN: 0009-9147 (ISSN-L)
1530-8561
DOI: 10.1373/clinchem.2013.206375
OpenAlex: W2099066165
Cited by: 859
References: 45
Citations by year: 2026: 47 · 2025: 47 · 2024: 50 · 2023: 56 · 2022: 78 · 2021: 95 · 2020: 96 · 2019: 67 · 2018: 71 · 2017: 59 · 2016: 74 · 2015: 58 · 2014: 48 · 2013: 11
FWCI: 28.54
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations: Clinical Chemistry (publishedVersion)
PubMed (publishedVersion)
Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Anglia Ruskin Research Online (Anglia Ruskin University) (submittedVersion)
ASEP (submittedVersion, public-domain)
UCL Discovery (University College London) (submittedVersion)
Figshare (submittedVersion, cc-by)
Funders: UK National Measurement System (AV0Z50520701, GACR GA P303/10/1338)
BioFire Diagnostics
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords: digital PCR, MIQE guidelines, reporting guidelines, experimental reproducibility, nucleic acid quantification, experimental design, control, standardization of protocols
MeSH terms: Computers, Guidelines as Topic, Real-Time Polymerase Chain Reaction

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

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