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

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

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

Open access

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

Open this paper in CoChat — free account Open PDF

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1373/clinchem.2013.206375

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
Self-citation
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
Self-citation
Evaluation of a Droplet Digital Polymerase Chain Reaction Format for DNA Copy Number Quantification
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
Self-citation
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
Quantitative and sensitive detection of rare mutations using droplet-based microfluidics
Pekin, D., Skhiri, Y., Baret, J., Corre, D. L., Mažutis, L., Salem, C. B., Millot, F., Harrak, A. E., Hutchison, J. B., Larson, J. W., et al. (2011) · Lab on a Chip · doi:10.1039/c1lc20128j · Cited by 536
Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation
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
Self-citation
Digital PCR for the molecular detection of fetal chromosomal aneuploidy
Lo, Y. M. D., Lun, F. M. F., Chan, K. C. A., Tsui, N. B. Y., Chong, K. C., Lau, T. K., Leung, T. Y., Zee, B. C.-Y., Cantor, C. R., & Chiu, R. W. K. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705765104 · Cited by 434

Show all 45 references

Sorted by citations

Items 501–600 of 864

Limited correlation between tumor markers and minimal residual disease detected by seven neuroblastoma‑associated mRNAs in high‑risk neuroblastoma patients
Uemura, S., Lin, K. S., Thwin, K. K. M., Nakatani, N., Ishida, T., Yamamoto, N., Tamura, A., Saito, A., Mori, T., Hasegawa, D., et al. (2021) · Molecular and Clinical Oncology · doi:10.3892/mco.2021.2299 · Cited by 10
Digital PCR detection of EGFR somatic mutations in non-small-cell lung cancer formalin fixed paraffin embedded samples
Carvalho, T. M., Dourado, R. M., Nakatani, S. M., Duarte, C. A. B., Ioshii, S. O., Riediger, I. N., Tuon, F. F., & Boldt, A. B. W. (2021) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2021.101745 · Cited by 10
A Synthetic DNA Construct to Evaluate the Recovery Efficiency of Cell-Free DNA Extraction and Bisulfite Modification
Goh, S. K., Cox, D. R. A., Wong, B. K. L., Musafer, A., Witkowski, T., Do, H., Muralidharan, V., & Dobrovic, A. (2021) · Clinical Chemistry · doi:10.1093/clinchem/hvab095 · Cited by 10
Applying Contextofuse to Quantitative Polymerase Chain Reaction Method Validation and Analysis: A Recommendation From the European Bioanalysis Forum
Laurén, A., Braun, M., Byrne, P., Cazzin, C., Colletti, K. S., Cox, C., Dietz, L., Emrich, T., Geddes, K., Herr, K., et al. (2021) · Bioanalysis · doi:10.4155/bio-2021-0218 · Cited by 11
Comparative genomic analysis of Escherichia coli strains obtained from continuous imipenem stress evolution
Geng, J., Liu, H., Chen, S., Long, J., Jin, Y., Yang, H., & Duan, G. (2022) · FEMS Microbiology Letters · doi:10.1093/femsle/fnac015 · Cited by 10
Differentially Expressed Inflammation-Regulating MicroRNAs in Oligoarticular Juvenile Idiopathic Arthritis
McAlpine, S. M., Roberts, S. E., Hargreaves, B. K. V., Bullock, C., RAMSEY, S. E., Stringer, E., Lang, B. A., Huber, A. M., György, B., Erdélyi, F., et al. (2022) · The Journal of Rheumatology · doi:10.3899/jrheum.220160 · Cited by 10
PCR and Infectious Diseases
Zauli, D. A. G. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.85630 · Cited by 10
Development of an event-specific PCR method to quantify genetically modified soybean DBN8002 on both real-time and digital PCR platforms
Yao, X., Li, J., Wan, D., Gao, H., Li, Y., Fang, X., Zhai, S., Wu, G., & Wu, Y. (2024) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2024.106657 · Cited by 9
Frontiers in Point-of-Care Testing: A Comprehensive Review
Huma, H., Shabbir, M., Seo, S. E., & Kwon, O. S. (2024) · Applied Science and Convergence Technology · doi:10.5757/asct.2024.33.5.117 · Cited by 11
Mapping Tumor–Stroma–ECM Interactions in Spatially Advanced 3D Models of Pancreatic Cancer
Kataki, A.-D., Gupta, P., Cheema, U., Nisbet, A., Wang, Y., Kocher, H. M., Pérez-Mancera, P. A., & Velliou, E. G. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c02296 · Cited by 12
Analytical Aspects of the Implementation of Biomarkers in Clinical Transplantation
Shipkova, M., López, O. M., Picard, N., Noceti, O., Sommerer, C., Christians, U., & Wieland, E. (2015) · Therapeutic Drug Monitoring · doi:10.1097/ftd.0000000000000230 · Cited by 9
Salivary extracellular RNA biomarkers for insulin resistance detection in hispanics
Zhang, Y., Sun, J. L., Li, F., Grogan, T., Vergara, J. L., Luan, Q., Park, M., Chia, D., Elashoff, D. A., JOSHIPURA, K. J., et al. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.07.008 · Cited by 9
Cellular and molecular complementary immune stress markers for the model species Dreissena polymorpha
Guernic, A. L., Geffard, A., Rioult, D., Bigot‐Clivot, A., Leprêtre, M., & Ladeiro, M. P. (2020) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2020.10.027 · Cited by 10
Event-specific detection of transgenic potato AV43-6-G7 using real-time and digital PCR methods
Gao, H., Yu, X., Deng, T., Sun, M. H., Xiao, X., Huang, X., Chen, Y., & Li, R. (2016) · BMC Biotechnology · doi:10.1186/s12896-016-0303-8 · Cited by 9
1Hz and 100mT Electromagnetic Field Induces Apoptosis in Breast Cancer Cells Through Up-Regulation of P38 and P21
Sajadian, A. S., Razmpoosh, E., Alaeddini, F., & Bassiri, M. (2020) · doi:10.30699/acadpub.mci.4.1.23 · Cited by 9
Lactobacillus johnsonii-activated chicken bone marrow-derived dendritic cells exhibit maturation and increased expression of cytokines and chemokines in vitro
Huang, X., Ma, S., Wang, L., Zhou, H., Jiang, Y., Cui, W., Qiao, X., Xu, Y., Li, Y., & Tang, L. (2020) · Cytokine · doi:10.1016/j.cyto.2020.155269 · Cited by 9
Selection and verification of the combination of reference genes for RT-qPCR analysis in rat adrenal gland development
Xia, X., Liu, Y., Liu, L., Chen, Y., & Wang, H. (2021) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2021.105821 · Cited by 9
Digital Droplet-PCR for Quantification of Viable Campylobacter jejuni and Campylobacter coli in Chicken Meat Rinses
Govindaswamy, J., Zeller-Péronnet, V., Pavlovic, M., Wirtz, D., Murr, L., Thärigen, D., Colson, B., Uhlig, S., Busch, U., & Huber, I. (2022) · Applied Sciences · doi:10.3390/app12115315 · Cited by 9
Transcriptomic studies and assessment of Yersinia pestis reference genes in various conditions
Koch, L., Poyot, T., Schnetterle, M., Guillier, S., Soulé, E., Nolent, F., Gorgé, O., Neulat-Ripoll, F., Valade, E., Sebbane, F., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-39072-x · Cited by 9
Antibiotic resistance genes in an urban stream before and after a state fair
O'Malley, K., McNamara, P., & McDonald, W. (2021) · Journal of Water and Health · doi:10.2166/wh.2021.151 · Cited by 9
Correction to: Transmission studies of the newly described apple chlorotic fruit spot viroid using a combined RT-qPCR and droplet digital PCR approach
Leichtfried, T., Reisenzein, H., Steinkellner, S., & Gottsberger, R. A. (2020) · Archives of Virology · doi:10.1007/s00705-020-04753-w · Cited by 9
Detection and quantification of integrated vector copy number by multiplex droplet digital PCR in dual-transduced CAR T cells
Wang, W., Al‐Hajj, M., & Alavi, A. (2023) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2023.07.003 · Cited by 8
Quantification of the percentage proportion of individual animal species in meat products by multiplex qPCR and digital PCR
Nesvadbová, M., Dziedzinská, R., Hulánková, R., Babák, V., & Králík, P. (2023) · Food Control · doi:10.1016/j.foodcont.2023.110024 · Cited by 8
Analysis of qPCR Data: From PCR Efficiency to Absolute Target Quantity
Ruijter, J. M., & van den Hoff, M. J. B. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262411885 · Cited by 8
A blood-based gene expression and signaling pathway analysis to differentiate between high and low grade gliomas
Ponnampalam, S. N., Kamaluddin, N. R., Zakaria, Z., Matheneswaran, V., Ganesan, D., Haspani, M. S. M., Ryten, M., & Hardy, J. (2016) · Oncology Reports · doi:10.3892/or.2016.5285 · Cited by 8
Assessment of the Appearance and Toxin Production Potential of Invasive Nostocalean Cyanobacteria Using Quantitative Gene Analysis in Nakdong River, Korea
Kim, Y.-J., Park, H., & Kim, I. (2022) · Toxins · doi:10.3390/toxins14050294 · Cited by 8
Internal reference genes with the potential for normalizing quantitative PCR results for oral fluid specimens
Cheng, T., Zimmerman, J. J., & Gimenez-Lirola, L. G. (2022) · Animal Health Research Reviews · doi:10.1017/s1466252322000044 · Cited by 8
Screening and validation of the optimal panel of reference genes in colonic epithelium and relative cancer cell lines
Hu, Y., Jiang, Q., Zhai, X., Liu, L., & Hong, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-45174-4 · Cited by 8
Enhanced Specificity of TPMT*2 Genotyping Using Unidirectional Wild-Type and Mutant Allele-Specific Scorpion Primers in a Single Tube
Dong, C., Yang, Z., Xia, H., Huang, J.-F., Zhang, Y., Jiang, T.-N., Wang, G., Chuai, Z.-R., Fu, W., & Huang, Q. Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091824 · Cited by 8
Application of digital PCR for assessing DNA fragmentation in cytotoxicity response
Han, J., Lee, J. Y., & Bae, Y. (2019) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2019.05.001 · Cited by 8
Gene identification and functional characterization of a Δ12 fatty acid desaturase in Tetrahymena thermophila and its influence in homeoviscous adaptation to low temperature
Granel, M. L. S., Cánepa, C., Cid, N. G., Navarro, J. C., Monroig, Ó., Verstraeten, S. V., Nudel, C. B., & Nusblat, A. D. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2019.08.003 · Cited by 8
Statistical differences resulting from selection of stable reference genes after hypoxia and hypothermia in the neonatal rat brain
Bustelo, M., Bruno, M. A., Loidl, C. F., Rey‐Funes, M., Steinbusch, H. W. M., Gavilanes, A. W. D., & van den Hove, D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233387 · Cited by 8
Validation of Preamplification to Improve Quantification of Cytomegalovirus DNA Using Droplet Digital Polymerase Chain Reaction
Zhang, W., Bream, J. H., Leng, S. X., & Margolick, J. B. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c02890 · Cited by 8
Digital PCR (dPCR) and qPCR mediated determination of transgene copy number in the forage legume white clover (Trifolium repens)
Narancio, R., John, U. P., Mason, J. G., Giraldo, P. A., & SPANGENBERG, G. C. (2021) · Molecular Biology Reports · doi:10.1007/s11033-021-06354-5 · Cited by 8
Characterization of Plasma Cell-Free DNA Integrity Using Droplet-Based Digital PCR: Toward the Development of Circulating Tumor DNA-Dedicated Assays
Poulet, G., Garlan, F., Garrigou, S., Zonta, E., Benhaïm, L., Carrillon, M.-J., Didelot, A., Corre, D. L., Mulot, C., Nizard, P., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.639675 · Cited by 8
Microfluidic Digital Quantitative PCR to Measure Internal Cargo of Individual Liposomes
Riley, B. F. M., Mai, H. T., & Linz, T. H. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c01232 · Cited by 8
Optimised multiplex droplet digital PCR is more precise, but not more sensitive, than real-time PCR for the detection of allergenic peanut
Eischeid, A. C. (2022) · Food Additives & Contaminants Part A · doi:10.1080/19440049.2022.2126530 · Cited by 8
Fermented whey modulated AFB1 and OTA-induced hepatotoxicity and nephrotoxicity in vivo. A relative and absolute quantification about sex differences
Frangiamone, M., Yemelin, A., Cimbalo, A., Font, G., Thines, E., & Manyes, L. (2023) · Toxicology Mechanisms and Methods · doi:10.1080/15376516.2023.2195488 · Cited by 8
Fish community composition detected using traditional fishing and eDNA in Dianchi Lake, Southwest China
Zhang, K., Xia, Z., Hong, Z., Fu, Z.-H., Li, Q., Chang, X., Chen, G., & MacIsaac, H. J. (2023) · Hydrobiologia · doi:10.1007/s10750-023-05401-5 · Cited by 8
Digitale Polymerasekettenreaktion (dPCR)
Guertler, P., & Gerdes, L. U. (2014) · BIOspektrum · doi:10.1007/s12268-014-0498-y · Cited by 8
Digital PCR and Its Potential Application to Microbiology
(2016) · Molecular Microbiology · doi:10.1128/9781555819071.ch4 · Cited by 9
Optimisation of a droplet digital PCR for strain specific quantification of a probiotic Bifidobacterium animalis strain in poultry feed
Raurich, S., Weber, B., Klose, V., Mohnl, M., Petri, D., & Fibi-Smetana, S. (2019) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2019.105646 · Cited by 8
Detection of Human Microchimerism following Allogeneic Cell Transplantation Using Droplet Digital PCR
Lombard, C. A., Fabre, A., Ambroise, J., Ravau, J., André, F., Jazouli, N., Najimi, M., Stéphenne, X., Smets, F. N., Vaerman, J.-L., et al. (2019) · Stem Cells International · doi:10.1155/2019/8129797 · Cited by 8
A newly discovered teleost disulfide isomerase, thioredoxin domain containing 5 (TXNDC5), from big-belly seahorse (Hippocampus abdominalis): Insights into its molecular and functional properties and immune regulatory functions
Sandamalika, W. M. G., Samaraweera, A. V., Yang, H., & Lee, J. (2020) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2020.103827 · Cited by 8
Bloom of tetracycline resistance genes in mudflats following fertilization is attributed to the increases in the shared potential hosts between soil and organic fertilizers
Kang, Y., Xu, W., Zhang, Y., Tang, X., Bai, Y., & Hu, J. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16676-3 · Cited by 8
Molecular and cytogenetic analysis
Vulliamy, T., Kaeda, J., Foroni, L., & Bain, B. J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-7020-3408-4.00008-4 · Cited by 8
Will droplet digital PCR become the test of choice for detecting and quantifying ocularChlamydia trachomatisinfection? Maybe
Roberts, C. H., Last, A. R., Burr, S. E., Bailey, R. L., Mabey, D. C. W., & Holland, M. J. (2014) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.2014.897609 · Cited by 8
Comparison of RT-qPCR and Digital PCR Methods for Wastewater-Based Testing of SARS-CoV-2Preprint
Hinkle, A., Greenwald, H., Metzger, M., Thornton, M. M., Kennedy, L. C., Loomis, K., Herrera, M., Abayan, R., Nelson, K. L., & Kantor, R. S. (2022) · medRxiv · doi:10.1101/2022.06.15.22276459 · Cited by 8
Evaluation of Droplet Digital PCR for the Detection of BRAF V600E in Fine-Needle Aspiration Specimens of Thyroid Nodules
Min, Y. K., Kim, J. K., Park, K., & Kim, J. (2024) · Annals of Laboratory Medicine · doi:10.3343/alm.2023.0405 · Cited by 7
Droplet digital PCR for fish pathogen detection and quantification: A systematic review and meta‐analysis
Sumon, M. A. A., Meregildo-Rodríguez, E. D., Lee, P., Dinh‐Hung, N., Larson, E. T., Permpoonpattana, P., Doan, H. V., Jung, W., & Linh, N. V. (2024) · Journal of Fish Diseases · doi:10.1111/jfd.14019 · Cited by 7
Assessing reliability and accuracy of qPCR, dPCR and ddPCR for estimating mitochondrial DNA copy number in songbird blood and sperm cells
Bagdonaitė, L., Leder, E. H., Lifjeld, J. T., Johnsen, A., & Mauvisseau, Q. (2025) · PeerJ · doi:10.7717/peerj.19278 · Cited by 7
Greenhouse gas emission and functional gene dynamics in plant microbial fuel cells with natural and salt-affected soils
Guan, C., Hung, K.-C., & Yu, C. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.146231 · Cited by 7
Validation of digital PCR assay for the quantification of Mycobacterium avium subsp. paratuberculosis in bovine faeces according to the ISO 20395:2019
Russo, S., Cortimiglia, C., Filippi, A., Palladini, G., Garbarino, C. A., Massella, E., & Ricchi, M. (2023) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2023.106825 · Cited by 7
A duplex droplet digital PCR assay for absolute quantification and characterization of long self-amplifying RNA
Casmil, I. C., Huang, C., & Blakney, A. K. (2023) · Scientific Reports · doi:10.1038/s41598-023-46314-6 · Cited by 9
An overview of molecular markers for identification of non-human fecal pollution sources
Žlender, T., & Rupnik, M. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1256174 · Cited by 7
Droplet size affects the degree of separation between fluorescence-positive and fluorescence-negative droplet populations in droplet digital PCR
Nakamura, Y., & Hashimoto, M. (2023) · Analytical Methods · doi:10.1039/d3ay01689g · Cited by 7
Electromagnetic field as a possible inhibitor of tumor invasion by declining E-cadherin/N-cadherin switching in triple negative breast cancer
Moori, M., Norouzian, D., Yaghmaei, P., & Farahmand, L. (2024) · Electromagnetic Biology and Medicine · doi:10.1080/15368378.2024.2381575 · Cited by 7
Probe-based dual-chip digital loop-mediated isothermal amplification for the simultaneous detection of Staphylococcus aureus and Salmonella enteritidis in livestock and aquatic products
Chen, A., Ma, B., Zhang, Y. D., Huang, W., Xiao, Y., Li, J., Tang, Q., & Zhang, M. (2024) · Food Control · doi:10.1016/j.foodcont.2024.110988 · Cited by 7
Control Materials and Digital PCR Methods for Evaluation of Circulating Cell-Free DNA Extractions from Plasma
Whale, A. S., Fernández-González, A., Gutteridge, A., & Devonshire, A. S. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7778-9_4 · Cited by 7
Detection and quantification of ricin-mediated 28S ribosomal depurination by digital droplet PCR
Lewis, J. L., Shields, K. A., & Chong, D. C. (2018) · Analytical Biochemistry · doi:10.1016/j.ab.2018.09.017 · Cited by 7
Selection and identification of the panel of reference genes for quantitative real-time PCR normalization in rat testis at different development periods
Liu, Y., Liu, M., Zhang, Q., Chen, G., & Wang, H. (2020) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2020.115243 · Cited by 7
Chemokine receptor 8 expression may be linked to disease severity and elevated interleukin 6 secretion in acute pancreatitis
Nalisa, M., Nweke, E. E., Smith, M., Omoshoro–Jones, J., Devar, J. W., Metzger, R., Augustine, T. N., & Fru, P. (2021) · World Journal of Gastrointestinal Pathophysiology · doi:10.4291/wjgp.v12.i6.115 · Cited by 7
Heterogenous distribution of kākahi (freshwater musselEchyridella menziesii) environmental DNA in 5 New Zealand lakes of differing size and geomorphology
Steiner, K., Drinan, T. J., Zaiko, A., Burton, T., Clearwater, S. J., Stocker, M. G., McMillan, M., Bayer, T. K., Vandergoes, M. J., & Wood, S. A. (2022) · Freshwater Science · doi:10.1086/722968 · Cited by 7
Development of the Droplet Digital PCR Method for the Detection and Quantification of Erwinia pyrifoliae
He, L., Kim, S. H., & Yu, J. M. (2023) · The Plant Pathology Journal · doi:10.5423/ppj.nt.08.2022.0117 · Cited by 7
Benchmarking digital PCR partition classification methods with empirical and simulated duplex data
Chen, Y., Spiegelaere, W. D., Trypsteen, W., Gleerup, D., Vandesompele, J., Lievens, A., Vynck, M., & Thas, O. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae120 · Cited by 7
Self-citation
Assay Optimization Can Equalize the Sensitivity of Real-Time PCR with ddPCR for Detection of Helicoverpa armigera (Lepidoptera: Noctuidae) in Bulk Samples
de Oliveira, T. M. R., Zink, F. A., Menezes, R. D. C., Dianese, É. D. C., Albernaz, K. C., da Cunha, M. G., Timm, A. E., Gilligan, T. M., & Tembrock, L. R. (2021) · Insects · doi:10.3390/insects12100885 · Cited by 7
Development of a triplex droplet digital polymerase chain reaction assay for the detection of three New Zealand native freshwater mussels (Echyridella) in environmental samples
Steiner, K., Dyer, N., Lee, C. K., Vandergoes, M. J., & Wood, S. A. (2022) · Environmental DNA · doi:10.1002/edn3.302 · Cited by 7
The Porcine TSPY Gene Is Tricopy but Not a Copy Number Variant
Quach, A. T., Oluwole, O. A., King, W. A., & Révay, T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131745 · Cited by 7
Temporal TGF-β Supergene Family Signalling Cues Modulating Tissue Morphogenesis: Chondrogenesis within a Muscle Tissue Model?
Xiong, F., Hausdorf, J., Niethammer, T. R., Jansson, V. A., & Klar, R. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144863 · Cited by 7
Primary Quantitative Reference Standards for Viral Nucleic Acids Should Be Developed Using Digital Polymerase Chain Reaction Instead of Consensus Testing
Hayden, R. T. (2022) · Journal of Clinical Microbiology · doi:10.1128/jcm.01338-22 · Cited by 7
Lab-In-Fiber Optofluidic Device for Droplet Digital Polymerase Chain Reaction (DdPCR) with Real-Time Monitoring
Liang, M., Liang, L., Tayebi, M., Zhong, J., & Ai, Y. (2024) · ACS Sensors · doi:10.1021/acssensors.4c01467 · Cited by 6
A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independent surveys
Dias, P. J., Lehman, R. N., Huerta‐Beltrán, B. L., Wheeler, A., Hightower, C. L., Heise, J., Switzer, T. S., Rhode, C., Drymon, J. M., Stokes, L., et al. (2025) · PeerJ · doi:10.7717/peerj.18778 · Cited by 6
Revisiting the Potential Role of Urine in Wastewater Surveillance for COVID-19 and Beyond
Bivins, A. (2025) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.4c00911 · Cited by 5
Comprehensive analysis of flavohemoprotein copy number variation in Giardia intestinalis: exploring links to metronidazole resistance
Korenková, V., Weisz, F., Perglerová, A., Cacciò, S. M., Nohýnková, E., & Tůmová, P. (2024) · Parasites & Vectors · doi:10.1186/s13071-024-06392-5 · Cited by 7
Low tristetraprolin expression activates phenotypic plasticity and primes transition to lethal prostate cancer in mice
Morel, K. L., German, B., Hamid, A., Nanda, J. S., Linder, S., Bergman, A. M., van der Poel, H. G., Hofland, I., Bekers, E. M., Trostel, S. Y., et al. (2024) · Journal of Clinical Investigation · doi:10.1172/jci175680 · Cited by 6
SlipChip Device for Digital Nucleic Acid Amplification
Shen, F. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6734-6_10 · Cited by 6
Acute and chronic response to a change in salinity of the euryhaline polychaete Pygospio elegans (Claparède)
Thonig, A., Banta, G. T., Gibon, S., Kesäniemi, J., Hansen, B. W., & Knott, K. E. (2019) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2019.05.002 · Cited by 6
Current applications and technological advances in quantitative real-time PCR (qPCR): a versatile tool for the study of phytoplankton ecology
Coyne, K. J., Wang, Y., Wood, S. A., Countway, P. D., & Greenlee, S. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822861-6.00019-4 · Cited by 6
Expression Profiling in Ovarian Cancer Reveals Coordinated Regulation of BRCA1/2 and Homologous Recombination Genes
Custódio, N., Savisaar, R., Carvalho, C., Bak‐Gordon, P., Ribeiro, M. I., Tavares, J., Borralho, P., Peixoto, A., Pinto, C., Escudeiro, C., et al. (2022) · Biomedicines · doi:10.3390/biomedicines10020199 · Cited by 6
Identification of long non-coding RNA using single nucleotide epimutation analysis: a novel gene discovery approach
Kerachian, M. A., & Azghandi, M. (2022) · Cancer Cell International · doi:10.1186/s12935-022-02752-2 · Cited by 6
Designing and Validation of a Droplet Digital PCR Procedure for Diagnosis and Accurate Quantification of Nervous Necrosis Virus in the Mediterranean Area
Souto, S., Olveira, J. G., López‐Vázquez, C., Bandı́n, I., & Dopazo, C. P. (2023) · Pathogens · doi:10.3390/pathogens12091155 · Cited by 6
The Development of a Series of Genomic DNA Reference Materials with Specific Copy Number Ratios for The Detection of Genetically Modified Maize DBN9936
Li, J., Gao, H., Li, Y., Zhai, S., Fang, X., Wu, G., & Wu, Y. (2024) · Foods · doi:10.3390/foods13050747 · Cited by 6
Digital PCR identifies changes in CDH1 (E-cadherin) transcription pattern in intestinal-type gastric cancer
Khouzam, R. A., Molinari, C., Salvi, S., Marabelli, M., Molinaro, V., Orioli, D., Saragoni, L., Morgagni, P., Calistri, D., & Ranzani, G. N. (2016) · Oncotarget · doi:10.18632/oncotarget.13401 · Cited by 6
Investigation of direct counting and sizing of DNA fragments in flow applying an improved data analysis and correction method
Hussels, M., Engel, S., & Bock, N. (2019) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2019.100083 · Cited by 6
Association study of copy number variants in CCL3L1, FCGR3A and FCGR3B genes with risk of ankylosing spondylitis in a West Algerian population
Dahmani, A., Benzaoui, A., Amroun, H., Zemani‐Fodil, F., Petit, É., & Boudjema, A. (2019) · International Journal of Immunogenetics · doi:10.1111/iji.12454 · Cited by 6
Rapid and ultrasensitive digital PCR (dPCR) profiling of EGFRvIII in tumor cells and tissues
Saxena, D., Sheikh, S., Kao, G. D., Binder, Z. A., Alonso‐Basanta, M., O’Rourke, D. M., Nasrallah, M. P., & Dorsey, J. F. (2019) · Neuro-Oncology Advances · doi:10.1093/noajnl/vdz030 · Cited by 6
Nucleic Acid–Based Methods in the Detection of Foodborne Pathogens
Aslan, H., Ekinci, A., & Aslan, İ. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819304-4.00013-0 · Cited by 7
Recent trends in molecular techniques for food pathogen detection
Rao, S., & Arora, K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813266-1.00005-x · Cited by 6
Reproducibility Challenges for Biomarker Detection with Uncertain But Informative Experimental Data
Zhuang, W. V., Camacho, L., Silva, C. S., & Hong, H. (2020) · Biomarkers in Medicine · doi:10.2217/bmm-2019-0599 · Cited by 6
Development of New PCR Assay with SYBR Green I for Detection of Mycoplasma, Acholeplasma, and Ureaplasma sp. in Cell Cultures
Krzysztoń-Russjan, J., Chudziak, J., Bednarek, M., & Anuszewska, E. (2021) · Diagnostics · doi:10.3390/diagnostics11050876 · Cited by 6
Molecular Hematopathology
He, R. Q., Oliveira, J. L., Hoyer, J. D., & Viswanatha, D. S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-323-47913-4.00024-0 · Cited by 6
Digital Quantification of DNA Replication and Chromosome Segregation Enables Determination of Antimicrobial Susceptibility after only 15 Minutes of Antibiotic Exposure
Schoepp, N. G., Khorosheva, E. M., Schlappi, T. S., Curtis, M. S., Humphries, R. M., Hindler, J. A., & Ismagilov, R. F. (2016) · Angewandte Chemie · doi:10.1002/ange.201602763 · Cited by 6
Selection and Validation of the Optimal Panel of Reference Genes for RT-qPCR Analysis in the Developing Rat Cartilage
Liu, L., Han, H., Li, Q., Chen, M., Zhou, S., Wang, H., & Chen, L. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.590124 · Cited by 6
Extending digital PCR analysis by modelling quantification cycle data
Wilson, P. J., & Ellison, S. L. R. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1275-3 · Cited by 6
Detection and quantification of enteric pathogens in aerosols near open wastewater canals in cities with poor sanitationPreprint
Ginn, O., Rocha-Melogno, L., Bivins, A. W., Lowry, S. A., Cardelino, M., Nichols, D., Tripathi, S. N., Soria, F., Andrade, M. F., Bergin, M. H., et al. (2021) · medRxiv · doi:10.1101/2021.02.14.21251650 · Cited by 5
Reframing veterinary vaccine quality control: Integrating alternative assays within lifecycle-based regulatory frameworks
Abousenna, M. S. (2026) · Veterinary Immunology and Immunopathology · doi:10.1016/j.vetimm.2026.111109 · Cited by 6
Chip-based digital Polymerase Chain Reaction as quantitative technique for the detection of PIK3CA mutations in breast cancer patients
Giannoni‐Luza, S., Acosta, Ó., Carrasco, A. G. M., Danos-Diaz, P., Cotrina, J. M., Miller, H. G., Pinto, J. A., Aguilar, A., Araujo, J. M., Fujita, R., et al. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e11396 · Cited by 5
Measurable residual disease after CAR T-cell therapy
Chokr, N., & Gomez-Arteaga, A. (2023) · Seminars in Hematology · doi:10.1053/j.seminhematol.2023.02.001 · Cited by 5
Droplet Digital PCR: A New Molecular Method to Detect G1105S/V Mutations in Plasmopara viticola CesA3 Gene
Sánchez-Zelaia, H., Nanni, I. M., Oggiano, I., Hernández, M., Díez-Navajas, A. M., & Collina, M. (2024) · Biology · doi:10.3390/biology13110919 · Cited by 5
Nucleic Acid Amplification Methods Overview
(2016) · Molecular Microbiology · doi:10.1128/9781555819071.ch1 · Cited by 5

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks