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 accessAbstract
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.
Overview
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
Cites
Statistics
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“As a first step toward this, guidelines for digital MIQE have been proposed (16).”
From Analysis of Extracellular RNA by Digital PCR (2014) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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-citationHigh-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
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-citationEvaluation 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-citationGenome 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
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-citationDigital 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
Cited by
Sorted by citations
An overview of microRNAs: Biology, functions, therapeutics, and analysis methods
Saliminejad, K., Khorram Khorshid, H. R., Soleymani Fard, S., & Ghaffari, S. H. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.27486 · Cited by 1,872
Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease
Mori, M. A., Ludwig, R. G., García-Martín, R., Brandão, B. B., & Kahn, C. R. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.011 · Cited by 990
Clonal haematopoiesis harbouring AML-associated mutations is ubiquitous in healthy adults
Young, A. L., Challen, G. A., Birmann, B. M., & Druley, T. E. (2016) · Nature Communications · doi:10.1038/ncomms12484 · Cited by 692
Quan, P.-L., Sauzade, M., & Brouzes, E. (2018) · Sensors · doi:10.3390/s18041271 · Cited by 664
Reporting the limits of detection and quantification for environmental DNA assays
Klymus, K. E., Merkes, C. M., Allison, M. J., Goldberg, C. S., Helbing, C. C., Hunter, M. E., Jackson, C. A., Lance, R. F., Mangan, A. M., Monroe, E. M., et al. (2019) · Environmental DNA · doi:10.1002/edn3.29 · Cited by 590
The dMIQE Group, Whale, A. S., Spiegelaere, W. D., Trypsteen, W., Nour, A. M. A., Bae, Y., Beneš, V., Burke, D. G., Cleveland, M. H., Corbisier, P., et al. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa125 · Cited by 557
Self-citationGuidelines for validation of qualitative real-time PCR methods
Broeders, S., Huber, I., Grohmann, L., Berben, G., Taverniers, I., Mazzara, M., Roosens, N. H. C., & Morisset, D. (2014) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2014.03.008 · Cited by 474
Considerations for Digital PCR as an Accurate Molecular Diagnostic Tool
Huggett, J. F., Cowen, S., & Foy, C. A. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2014.221366 · Cited by 445
Self-citationPCR inhibition in qPCR, dPCR and MPS—mechanisms and solutions
Sidstedt, M., Rådström, P., & Hedman, J. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02490-2 · Cited by 400
Bustin, S. A., Ruijter, J. M., van den Hoff, M. J. B., Kubista, M., Pfaffl, M. W., Shipley, G. L., Tran, N., Rödiger, S., Untergasser, A., Mueller, R. D., et al. (2025) · Clinical Chemistry · doi:10.1093/clinchem/hvaf043 · Cited by 370
Self-citationBustin, S. A., & Huggett, J. F. (2017) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2017.11.001 · Cited by 314
Self-citationDigital Assays Part I: Partitioning Statistics and Digital PCR
Basu, A. S. (2017) · SLAS TECHNOLOGY · doi:10.1177/2472630317705680 · Cited by 307
Devonshire, A. S., Whale, A. S., Gutteridge, A., Jones, G. M., Cowen, S., Foy, C. A., & Huggett, J. F. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-014-7835-3 · Cited by 308
Self-citationDong, L., Kovářová, J., Bajzíková, M., Bezawork‐Geleta, A., Švec, D., Endaya, B., Sachaphibulkij, K., Coelho, A. R., Šebková, N., Růžičková, A., et al. (2017) · eLife · doi:10.7554/elife.22187 · Cited by 301
Self-citationBrain Tumor Mutations Detected in Cerebral Spinal Fluid
Pan, W., Gu, W., Nagpal, S., Gephart, M. H., & Quake, S. R. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2014.235457 · Cited by 299
Advances in digital polymerase chain reaction (dPCR) and its emerging biomedical applications
Cao, L., Cui, X., Hu, J., Li, Z., Choi, J. R., Yang, Q., Lin, M., Hui, L. Y., & Xu, F. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.09.082 · Cited by 298
Applications of Digital PCR for Clinical Microbiology
Kuypers, J. M., & Jerome, K. R. (2017) · Journal of Clinical Microbiology · doi:10.1128/jcm.00211-17 · Cited by 282
Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality
Holcomb, D., & Stewart, J. R. (2020) · Current Environmental Health Reports · doi:10.1007/s40572-020-00278-1 · Cited by 312
Ahmed, W., Simpson, S. L., Bertsch, P. M., Bibby, K. J., Bivins, A. W., Blackall, L. L., Bofill-Mas, S., Bosch, A., Brandão, J. C., Choi, P. M., et al. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149877 · Cited by 271
Rački, N., Dreo, T., Gutierrez-Aguirre, I., Blejec, A., & Ravnikar, M. (2014) · Plant Methods · doi:10.1186/s13007-014-0042-6 · Cited by 257
Borchardt, M. A., Boehm, A. B. B., Salit, M., Spencer, S. K., Wigginton, K. R., & Noble, R. T. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c01767 · Cited by 255
Yang, S., Che, S. P. Y., Kurywchak, P., Tavormina, J. L., Gansmo, L. B., Correa de Sampaio, P., Tachezy, M., Bockhorn, M., Gebauer, F., Haltom, A. R., et al. (2017) · Cancer Biology & Therapy · doi:10.1080/15384047.2017.1281499 · Cited by 248
Doi, H., Takahara, T., Minamoto, T., Matsuhashi, S., Uchii, K., & Yamanaka, H. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b00253 · Cited by 257
Expanding Ecological Assessment by Integrating Microorganisms into Routine Freshwater Biomonitoring
Sagova-Mareckova, M., Boenigk, J., Bouchez, A., Cermakova, K., Chonova, T., Cordier, T., Eisendle, U., Elersek, T., Fazi, S., Fleituch, T., et al. (2021) · Water Research · doi:10.1016/j.watres.2020.116767 · Cited by 232
Fundamentals of multiplexing with digital PCR
Whale, A. S., Huggett, J. F., & Tzonev, S. (2016) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2016.05.002 · Cited by 235
Self-citationThe P2X7 receptor directly interacts with the NLRP3 inflammasome scaffold protein
Franceschini, A., Capece, M., Chiozzi, P., Falzoni, S., Sanz, J. M., Sarti, A. C., Bonora, M., Pinton, P., & Di Virgilio, F. (2015) · The FASEB Journal · doi:10.1096/fj.14-268714 · Cited by 225
Reexamining assumptions about miRNA-guided gene silencing
Kilikevicius, A., Meister, G., & Corey, D. R. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1256 · Cited by 194
“While qPCR is a useful technique for comparing the relative amounts of RNA expression in different cell lines or under different conditions, it is important to understand that the method should not be viewed as a ‘black box’, its limitations be understood, and that appropriate guidelines be followed (105,106).”
Current and Emerging Applications of Droplet Digital PCR in Oncology
López, S. O., García‐Arranz, M., & García‐Olmo, D. (2017) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-017-0278-8 · Cited by 208
Forschner, A., Battke, F., Hadaschik, D., Schulze, M., Weißgraeber, S., Han, T., Kopp, M., Frick, M., Klumpp, B. D., Tietze, N., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0659-0 · Cited by 215
Cao, Y., Raith, M. R., & Griffith, J. F. (2014) · Water Research · doi:10.1016/j.watres.2014.12.008 · Cited by 192
A survey of tools for the analysis of quantitative PCR (qPCR) data
Pabinger, S., Rödiger, S., Kriegner, A., Vierlinger, K., & Weinhäusel, A. (2014) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2014.08.002 · Cited by 189
Multiplexed Target Detection Using DNA-Binding Dye Chemistry in Droplet Digital PCR
McDermott, G. P., Do, D., Litterst, C. M., Maar, D., Hindson, C. M., Steenblock, E. R., Legler, T. C., Jouvenot, Y., Marrs, S. H., Bemis, A., et al. (2013) · Analytical Chemistry · doi:10.1021/ac403061n · Cited by 190
Extracellular vesicle analysis
Hendrix, A., Lippens, L., Pinheiro, C., Théry, C., Jaular, L. M., Lötvall, J. O., Lässer, C., Hill, A. F., & Witwer, K. W. (2023) · Nature Reviews Methods Primers · doi:10.1038/s43586-023-00240-z · Cited by 197
Umesha, S., & Manukumar, H. M. G. (2016) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2015.1126701 · Cited by 192
Assessing Viability and Stress Tolerance of Probiotics—A Review
Wendel, U. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.818468 · Cited by 203
Polar Body Genome Transfer for Preventing the Transmission of Inherited Mitochondrial Diseases
Wang, T., Sha, H., Ji, D., Zhang, H. L., Chen, D., Cao, Y., & Zhu, J. (2014) · Cell · doi:10.1016/j.cell.2014.04.042 · Cited by 181
Copy number variability of expression plasmids determined by cell sorting and Droplet Digital PCR
Jahn, M., Vorpahl, C., Hübschmann, T., Harms, H., & Müller, S. (2016) · Microbial Cell Factories · doi:10.1186/s12934-016-0610-8 · Cited by 181
Digital PCR analysis of circulating nucleic acids
Hudecova, I. (2015) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2015.03.015 · Cited by 181
Highly accurate and sensitive diagnostic detection of SARS-CoV-2 by digital PCR
Dong, L., Zhou, J., Niu, C., Wang, Q., Pan, Y., Sheng, S., Wang, X., Zhang, Y., Yang, J., Liu, M., et al. (2020) · Talanta · doi:10.1016/j.talanta.2020.121726 · Cited by 183
Evaluation of Digital PCR for Absolute RNA Quantification
Sanders, R., Mason, D. J., Foy, C. A., & Huggett, J. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075296 · Cited by 174
Self-citationDong, L., Meng, Y., Sui, Z., Wang, J., Wu, L., & Fu, B. (2015) · Scientific Reports · doi:10.1038/srep13174 · Cited by 171
Ahmed, W., Bivins, A. W., Bertsch, P. M., Bibby, K. J., Choi, P. M., Farkas, K., Gyawali, P., Hamilton, K. A., Haramoto, E., Kitajima, M., et al. (2020) · Current Opinion in Environmental Science & Health · doi:10.1016/j.coesh.2020.09.003 · Cited by 168
Campomenosi, P., Gini, E., Noonan, D. M., Poli, A., D’Antona, P., Rotolo, N., Dominioni, L., & Imperatori, A. S. (2016) · BMC Biotechnology · doi:10.1186/s12896-016-0292-7 · Cited by 159
Dreo, T., Pirc, M., Ramšak, Ž., Pavšič, J., Milavec, M., Žel, J., & Gruden, K. (2014) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-014-8084-1 · Cited by 158
Hunter, M. E., Dorazio, R. M., Butterfield, J. S. S., Meigs‐Friend, G., Nico, L. G., & Ferrante, J. A. (2016) · Molecular Ecology Resources · doi:10.1111/1755-0998.12619 · Cited by 158
Ma, H., Bell, K. N., & Loker, R. N. (2020) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2020.11.007 · Cited by 154
Nixon, G. J., Garson, J. A., Grant, P. R., Nastouli, E., Foy, C. A., & Huggett, J. F. (2014) · Analytical Chemistry · doi:10.1021/ac500208w · Cited by 148
Self-citationZhao, Y., Xia, Q., Yin, Y., & Wang, Z. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159004 · Cited by 148
Jensen, S. Ø., Øgaard, N., Ørntoft, M. W., Rasmussen, M. H., Bramsen, J. B., Kristensen, H., Mouritzen, P., Madsen, M. R., Madsen, A. H., Gotschalck, K. A., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0757-3 · Cited by 140
Ono, S., Lam, S., Nagahara, M., & Hoon, D. S. �. (2015) · Journal of Clinical Medicine · doi:10.3390/jcm4101890 · Cited by 140
One-step RT-droplet digital PCR: a breakthrough in the quantification of waterborne RNA viruses
Rački, N., Morisset, D., Gutiérrez‐Aguirre, I., & Ravnikar, M. (2013) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7476-y · Cited by 142
Dobnik, D., Štebih, D., Blejec, A., Morisset, D., & Žel, J. (2016) · Scientific Reports · doi:10.1038/srep35451 · Cited by 137
Corbisier, P., Pinheiro, L. B., Stephane, M., Kortekaas, A.-M., Chung, P. Y. J., Gerganova, T., Roebben, G., Emons, H., & Emslie, K. R. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8458-z · Cited by 133
Self-citationIdentification of Chromosomally Integrated Human Herpesvirus 6 by Droplet Digital PCR
Sedlak, R. H., Cook, L., Huang, M.-L. W., Magaret, A., Zerr, D. M., Boeckh, M., & Jerome, K. R. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.217240 · Cited by 137
Steele, J. A., Blackwood, A. D., Griffith, J. F., Noble, R. T., & Schiff, K. (2018) · Water Research · doi:10.1016/j.watres.2018.01.056 · Cited by 132
Drandi, D., Kubiczková, L., Ferrero, S., Dani, N., Passera, R., Mantoan, B., Gambella, M., Monitillo, L., Saraci, E., Ghione, P., et al. (2015) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2015.05.007 · Cited by 130
Integrated microfluidic systems with sample preparation and nucleic acid amplification
Yin, J., Suo, Y., Zou, Z., Sun, J., Zhang, S., Wang, B., Xu, Y., Darland, D. C., Zhao, J. X., & Mu, Y. (2019) · Lab on a Chip · doi:10.1039/c9lc00389d · Cited by 128
van Ginkel, J. H., Huibers, M. M. H., van Es, R. J. J., de Bree, R., & Willems, S. M. (2017) · BMC Cancer · doi:10.1186/s12885-017-3424-0 · Cited by 128
Digital PCR Modeling for Maximal Sensitivity, Dynamic Range and Measurement Precision
Majumdar, N., Wessel, T., & Marks, J. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118833 · Cited by 124
Tian, H., Sun, Y., Liu, C., Duan, X., Tang, W., & Li, Z. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b01225 · Cited by 124
Application of digital PCR for public health-related water quality monitoring
Tiwari, A., Ahmed, W., Oikarinen, S., Sherchan, S. P., Heikinheimo, A., Jiang, G., Simpson, S. L., Greaves, J., & Bivins, A. W. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155663 · Cited by 129
Digital PCR as a Novel Technology and Its Potential Implications for Molecular Diagnostics
Huggett, J. F., & Whale, A. S. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2013.214742 · Cited by 130
Self-citationDroplet Digital PCR for Absolute Quantification of Pathogens
Gutiérrez‐Aguirre, I., Rački, N., Dreo, T., & Ravnikar, M. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2620-6_24 · Cited by 122
Bivins, A. W., Kaya, D., Bibby, K. J., Simpson, S. L., Bustin, S. A., Shanks, O. C., & Ahmed, W. (2021) · Water Research · doi:10.1016/j.watres.2021.117516 · Cited by 121
Self-citationKeenum, I. M., Liguori, K., Calarco, J., Davis, B. C., Milligan, E., Harwood, V. J., & Pruden, A. J. (2022) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2021.2024739 · Cited by 120
Multi-template polymerase chain reaction
Kalle, E., Kubista, M., & Rensing, C. (2014) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2014.11.002 · Cited by 120
Self-citationCurrent and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review
López, S. O., Olivera-Salazar, R., García‐Arranz, M., & García‐Olmo, D. (2021) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-021-00562-2 · Cited by 128
Brutscher, L. M., Daughenbaugh, K. F., & Flenniken, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-06623-z · Cited by 127
Bustin, S., & Nolan, T. (2017) · European Journal of Clinical Investigation · doi:10.1111/eci.12801 · Cited by 113
Self-citationPerkins, G., Lu, H., Garlan, F., & Taly, V. (2016) · Advances in clinical chemistry · doi:10.1016/bs.acc.2016.10.001 · Cited by 114
Rowlands, V., Rutkowski, A. J., Meuser, E., Carr, T. H., Harrington, E. A., & Barrett, J. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-49043-x · Cited by 119
Yin, W., Zhuang, J., Li, J., Xia, L., Hu, K., Yin, J., & Mu, Y. (2023) · Small · doi:10.1002/smll.202303398 · Cited by 110
Considerations and quality controls when analyzing cell-free tumor DNA
Johansson, G., Andersson, D., Filges, S., Li, J., Muth, A., Godfrey, T. E., & Ståhlberg, A. (2019) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2018.12.003 · Cited by 113
Ivashko-Pachima, Y., Hadar, A., Grigg, I., Korenková, V., Kapitansky, O., Karmon, G., Gershovits, M., Sayas, C. L., Kooy, R. F., Attems, J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0563-5 · Cited by 107
Lei, S., Chen, S., & Zhong, Q. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.06.132 · Cited by 112
Highly Reproducible Absolute Quantification of Mycobacterium tuberculosis Complex by Digital PCR
Devonshire, A. S., Honeyborne, I., Gutteridge, A., Whale, A. S., Nixon, G. J., Wilson, P., Jones, G. M., McHugh, T. D., Foy, C. A., & Huggett, J. F. (2015) · Analytical Chemistry · doi:10.1021/ac5041617 · Cited by 108
Self-citationCiesielski, M., Blackwood, A. D., Clerkin, T. J., González, R., Thompson, H., Larson, A., & Noble, R. T. (2021) · Journal of Virological Methods · doi:10.1016/j.jviromet.2021.114230 · Cited by 102
Current commercial dPCR platforms: technology and market review
Tan, L. L., Loganathan, N., Agarwalla, S., Yang, C., Yuan, W., Zeng, J., Wu, R., Wang, W. T., & Duraiswamy, S. (2022) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2022.2037503 · Cited by 109
A panel of four decreased serum microRNAs as a novel biomarker for early Parkinson’s disease
Dong, H., Wang, C., Lu, S., Yu, C., Huang, L., Feng, W., Xu, H., Chen, X., Zen, K., Yan, Q., et al. (2015) · Biomarkers · doi:10.3109/1354750x.2015.1118544 · Cited by 103
Buschmann, D., Haberberger, A., Kirchner, B., Spornraft, M., Riedmaier, I., Schelling, G., & Pfaffl, M. W. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw545 · Cited by 102
Self-citationFcγ receptors: genetic variation, function, and disease
Hargreaves, C. E., Rose-Zerilli, M. J. J., Machado, L. R., Iriyama, C., Hollox, E. J., Cragg, M. S., & Strefford, J. C. (2015) · Immunological Reviews · doi:10.1111/imr.12341 · Cited by 104
van Ginkel, J. H., van den Broek, D. A., van Kuik, J., Linders, D., de Weger, R. A., Willems, S. M., & Huibers, M. M. H. (2017) · Cancer Medicine · doi:10.1002/cam4.1184 · Cited by 100
Seitz, A. K., Thoene, S., Bietenbeck, A., Nawroth, R., Tauber, R., Thalgott, M. K., Schmid, S. C., Secci, R., Retz, M. M., Gschwend, J. E., et al. (2017) · European Urology · doi:10.1016/j.eururo.2017.07.024 · Cited by 99
Absolute quantification of lung cancer related microRNA by droplet digital PCR
Wang, P., Jing, F., Li, G., Wu, Z., Cheng, Z., Zhang, J., Zhang, H., Jia, C., Jin, Q., Mao, H., et al. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.07.048 · Cited by 97
Zonta, E., Garlan, F., Pécuchet, N., Perez‐Toralla, K., Caën, O., Milbury, C. A., Didelot, A., Fabre, E., Blons, H., Laurent‐Puig, P., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159094 · Cited by 97
MicroRNAs as potential liquid biopsy biomarkers in colorectal cancer: A systematic review
Toiyama, Y., Okugawa, Y., Fleshman, J., Boland, C. R., & Goel, A. (2018) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2018.05.006 · Cited by 96
Gerdes, L., Iwobi, A. N., Busch, U., & Pecoraro, S. (2016) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2015.12.003 · Cited by 100
Schoepp, N. G., Khorosheva, E. M., Schlappi, T. S., Curtis, M. S., Humphries, R. M., Hindler, J. A., & Ismagilov, R. F. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201602763 · Cited by 94
Waking up dormant tumor suppressor genes with zinc fingers, TALEs and the CRISPR/dCas9 system
García‐Bloj, B., Moses, C., Sgro, A., Plani-Lam, J. H. C., Arooj, M., Duffy, C., Thiruvengadam, S., Sorolla, A., Rashwan, R., Mancera, R. L., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.11142 · Cited by 92
Comparison among the Quantification of Bacterial Pathogens by qPCR, dPCR, and Cultural Methods
Ricchi, M., Bertasio, C., Boniotti, M. B., Vicari, N., Russo, S., Tilola, M., Bellotti, M. A., & Bertasi, B. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01174 · Cited by 92
Assessment of the real-time PCR and different digital PCR platforms for DNA quantification
Pavšič, J., Žel, J., & Milavec, M. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-9107-2 · Cited by 91
Gines, G., Menezes, R., Xiao, W., Rondelez, Y., & Taly, V. (2019) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2019.11.002 · Cited by 93
Measurements Methods for the Development of MicroRNA-Based Tests for Cancer Diagnosis
Precazzini, F., Detassis, S., Imperatori, A. S., Denti, M. A., & Campomenosi, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031176 · Cited by 91
The workflow of single-cell expression profiling using quantitative real-time PCR
Ståhlberg, A., & Kubista, M. (2014) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.2014.901154 · Cited by 86
Self-citationDeprez, L., Corbisier, P., Kortekaas, A.-M., Stephane, M., Beaz‐Hidalgo, R., Trapmann, S., & Emons, H. (2016) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2016.08.002 · Cited by 87
Minimum Information Necessary for Quantitative Real-Time PCR Experiments
Johnson, G. L., Nour, A. M. A., Nolan, T., Huggett, J. F., & Bustin, S. A. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0733-5_2 · Cited by 87
Self-citationGobert, G., Cotillard, A., Fourmestraux, C., Pruvost, L., Miguet, J., & Boyer, M. (2018) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2018.03.004 · Cited by 89
Whale, A. S., Jones, G. M., Pavšič, J., Dreo, T., Redshaw, N. M., Akyürek, S., Akgöz, M., Divieto, C., Sassi, M. P., He, H., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.285478 · Cited by 86
Self-citationUshio, R., Yamamoto, M., Nakashima, K., Watanabe, H., Nagai, K., Shibata, Y., Tashiro, K., Tsukahara, T., Nagakura, H., Horita, N., et al. (2016) · Tuberculosis · doi:10.1016/j.tube.2016.04.004 · Cited by 84
MIQE: A Step Toward More Robust and Reproducible Quantitative PCR
Bustin, S. A., & Wittwer, C. T. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2016.268953 · Cited by 86
Self-citation
Metadata
- 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
- 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
- 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