Absolute quantification by droplet digital PCR versus analog real-time PCR
Open accessAbstract
Nanoliter-sized droplet technology paired with digital PCR (ddPCR) holds promise for highly precise, absolute nucleic acid quantification. Our comparison of microRNA quantification by ddPCR and real-time PCR revealed greater precision (coefficients of variation decreased 37-86%) and improved day-to-day reproducibility (by a factor of seven) of ddPCR but with comparable sensitivity. When we applied ddPCR to serum microRNA biomarker analysis, this translated to superior diagnostic performance for identifying individuals with cancer.
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Recent studies comparing qPCR and dPCR reported improved precision and reproducibility with dPCR.
“Recent studies have compared the two technologies and reported improved precision and reproducibility with dPCR (11).”
From Analysis of Extracellular RNA by Digital PCR (2014) · cites this paper as [11]
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Dube, S., Qin, J., & Ramakrishnan, R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002876 · Cited by 302 · see citing works
Weaver, S., Dube, S., Mir, A., Qin, J., Sun, G., Ramakrishnan, R., Jones, R. C., & Livak, K. J. (2010) · Methods · doi:10.1016/j.ymeth.2010.01.003 · Cited by 220 · see citing works
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Research works printed but not linked: 22
- [1]Vogelstein B Kinzler KW Proc Natl Acad Sci USA 96 9236 9241 1999 10430926 PMC17763
- [2]Sykes PJ Biotechniques 13 444 449 1992 1389177
- [3]Bustin SA Nolan T J Biomol Tech 15 155 166 2004 15331581 PMC2291693
- [4]Hindson BJ Anal Chem 83 8604 8610 2011 22035192 PMC3216358
- [5]Pinheiro LB Anal Chem 84 1003 1011 2012 22122760 PMC3260738
- [6]Hayden RT J Clin Microbiol 51 540 546 2013 23224089 PMC3553899
- [7]Kloosterman WP Plasterk RH Dev Cell 11 441 450 2006 17011485
- [8]Mitchell PS Proc Natl Acad Sci USA 105 10513 10518 2008 18663219 PMC2492472
- [9]Arroyo JD Proc Natl Acad Sci USA 108 5003 5008 2011 21383194 PMC3064324
- [10]Redis RS Calin S Yang Y You MJ Calin GA Pharmacol Ther 136 169 174 2012 22903157 PMC3855335
- [11]Reid G Kirschner MB van Zandwijk N Crit Rev Oncol Hematol 80 193 208 2011 21145252
- [12]Bryant RJ Br J Cancer 106 768 774 2012 22240788 PMC3322952
- [13]Lawrie CH Br J Haematol 141 672 675 2008 18318758
- [14]Munding JB Int J Cancer 131 E86 E95 2012 21953293
- [15]du Rieu MC Clin Chem 56 603 612 2010 20093556
- [16]Kroh EM Parkin RK Mitchell PS Tewari M Methods 50 298 301 2010 20146939 PMC4186708
- [17]Nolan T Hands RE Bustin SA Nat Protoc 1 1559 1582 2006 17406449
- [18]Pfaffl MW Nucleic Acids Res 29 e45 2001 11328886 PMC55695
- [19]Massart DL Handbook of chemometrics and qualimetrics Elsevier 1997
- [21]Weaver S Methods 50 271 276 2010 20079846
- [22]Dube S Qin J Ramakrishnan R PLoS ONE 3 e2876 2008 18682853 PMC2483940
- [23]Andreasen D Methods 50 S6 S9 2010 20215018
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Sorted by citations
Taylor, S. C., Laperriere, G., & Germain, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-02217-x · Cited by 626 · see citing works
“Droplet Digital PCR (ddPCR) is a recent technology that has become commercially available since 2011 9, 10 .”
BackgroundA Single-Cell Transcriptomic Atlas of Human Skin Aging
Zou, Z., Long, X., Zhao, Q., Zheng, Y., Song, M., Ma, S., Jing, Y., Wang, S., He, Y., Esteban, C. R., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2020.11.002 · Cited by 402 · see citing works
Circulating tumour DNA predicts response to anti-PD1 antibodies in metastatic melanoma
Lee, J. H., Long, G. V., Boyd, S., Lo, S., Menzies, A. M., Tembe, V., Guminski, A., Jakrot, V., Scolyer, R. A., Mann, G. J., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx026 · Cited by 333 · see citing works
Role of circular RNAs in brain development and CNS diseases
Mehta, S. L., Dempsey, R. J., & Vemuganti, R. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101746 · Cited by 281 · see citing works
Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma
Nikbakht, H., Panditharatna, E., Mikael, L. G., Li, R., Gayden, T., Osmond, M., Ho, C.-Y., Kambhampati, M., Hwang, E. I., Faury, D., et al. (2016) · Nature Communications · doi:10.1038/ncomms11185 · Cited by 252 · see citing works
Rački, N., Dreo, T., Gutierrez-Aguirre, I., Blejec, A., & Ravnikar, M. (2014) · Plant Methods · doi:10.1186/s13007-014-0042-6 · Cited by 257 · see citing works
Taylor, S. C., Carbonneau, J., Shelton, D. N., & Boivin, G. (2015) · Journal of Virological Methods · doi:10.1016/j.jviromet.2015.08.014 · Cited by 142 · see citing works
Verhaegen, B., De Reu, K., De Zutter, L., Verstraete, K., Heyndrickx, M., & Van Coillie, E. (2016) · Toxins · doi:10.3390/toxins8050157 · Cited by 103 · see citing works
Ricciotti, R. W., Baraff, A. J., Jour, G., Kyriss, M., Wu, Y., Liu, Y., Li, S.-C., Hoch, B., & Liu, Y. J. (2017) · Cancer Genetics · doi:10.1016/j.cancergen.2017.09.005 · Cited by 67 · see citing works
Zmienko, A., Samelak-Czajka, A., Goralski, M., Sobieszczuk-Nowicka, E., Kozlowski, P., & Figlerowicz, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118226 · Cited by 62 · see citing works
“The target mRNA concentrations were calculated using the Poisson statistics [15] and background-corrected based on the no template control data.”
MethodInfluentialAnalysis of Extracellular RNA by Digital PCR
Takahashi, K., Yan, I. K., Kim, C., Kim, J., & Patel, T. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00129 · Cited by 51 · see citing works
“Recent studies have compared the two technologies and reported improved precision and reproducibility with dPCR (11).”
BackgroundLaudanski, P., Charkiewicz, R., Tolwinska, A., Szamatowicz, J., Charkiewicz, A., & Niklinski, J. (2015) · BioMed Research International · doi:10.1155/2015/760698 · Cited by 48 · see citing works
Ni, J., Weng, L., Liu, Y., Sun, Z., Bai, C., & Wang, Y. (2017) · Oncology Letters · doi:10.3892/ol.2017.6022 · Cited by 23 · see citing works
An international comparability study on quantification of mRNA gene expression ratios: CCQM-P103.1
Devonshire, A. S., Sanders, R., Whale, A. S., Nixon, G. J., Cowen, S., Ellison, S. L. R., Parkes, H., Pine, P. S., Salit, M., McDaniel, J., et al. (2016) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2016.05.003 · Cited by 19 · see citing works
- Authors
- Hindson, C. M., Chevillet, J. R., Briggs, H. A., Gallichotte, E. N., Ruf, I. K., Hindson, B. J., Vessella, R. L., & Tewari, M.
- Affiliations
- Bio-Rad (United States) (US)
- Fred Hutch Cancer Center (US)
- University of Washington (US)
- Corresponding author
- Tewari, Muneesh
- Venue
- Nature Methods
- Published
- 2013-09-01
- Volume
- 10
- Issue
- 10
- Pages
- 1003-1005
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC4118677
- OpenAlex
- W2042194227
- Cited by
- 1,488
- References
- 2
- Citations by year
- 2026: 83 · 2025: 120 · 2024: 131 · 2023: 133 · 2022: 128 · 2021: 164 · 2020: 144 · 2019: 112 · 2018: 123 · 2017: 116 · 2016: 116 · 2015: 68 · 2014: 43 · 2013: 3
- FWCI
- 34.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5p50ca083636-15)
- National Cancer Institute (P50-CA083636, P50 CA83636, P01CA085859, CA100606, U01CA157703, P50CA097186, P01CA85859)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK085714)
- National Institute of Biomedical Imaging and Bioengineering (R01EB010106)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Innovative Microfluidic and Catalytic Techniques Innovation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- droplet digital PCR, absolute quantification, real-time PCR comparison, microRNA quantification, nanoliter droplets, precision and reproducibility, detection sensitivity, serum microRNA biomarker, cancer diagnosis
- MeSH terms
- Humans, Male, Prostatic Neoplasms, Sensitivity and Specificity, Biomarkers, Tumor, Reproducibility of Results, MicroRNAs, Limit of Detection, Real-Time Polymerase Chain Reaction
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