Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system

Dong Ku Kang, Kaixiang Zhang, M. Monsur Ali, Linan Liu, Louai Labanieh, Mengrou Lu, Hamidreza Riazifar, Thi N. Nguyen, Jason A. Zell, Michelle A. Digman, Enrico Gratton, Jinghong Li, Weian Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantification of miRNAs in blood can be potentially used for early disease detection, surveillance monitoring and drug response evaluation. However, quantitative and robust measurement of miRNAs in blood is still a major challenge in large part due to their low concentration and complicated sample preparation processes typically required in conventional assays. Here, we present the 'Integrated Comprehensive Droplet Digital Detection' (IC 3D) system where the plasma sample containing target miRNAs is encapsulated into microdroplets, enzymatically amplified and digitally counted using a novel, high-throughput 3D particle counter. Using Let-7a as a target, we demonstrate that IC 3D can specifically quantify target miRNA directly from blood plasma at extremely low concentrations ranging from 10s to 10,000 copies/mL in ≤ 3 hours without the need for sample processing such as RNA extraction. Using this new tool, we demonstrate that target miRNA content in colon cancer patient blood is significantly higher than that in healthy donor samples.

Original languageEnglish (US)
Title of host publicationMicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PublisherChemical and Biological Microsystems Society
Pages200-202
Number of pages3
ISBN (Electronic)9780979806483
StatePublished - Jan 1 2015
Event19th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2015 - Gyeongju, Korea, Republic of
Duration: Oct 25 2015Oct 29 2015

Publication series

NameMicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences

Other

Other19th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2015
CountryKorea, Republic of
CityGyeongju
Period10/25/1510/29/15

Fingerprint

Blood
Plasmas
Radiation counters
RNA
Assays
Throughput
Monitoring
Processing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Kang, D. K., Zhang, K., Ali, M. M., Liu, L., Labanieh, L., Lu, M., ... Zhao, W. (2015). Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system. In MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences (pp. 200-202). (MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences). Chemical and Biological Microsystems Society.
Kang, Dong Ku ; Zhang, Kaixiang ; Ali, M. Monsur ; Liu, Linan ; Labanieh, Louai ; Lu, Mengrou ; Riazifar, Hamidreza ; Nguyen, Thi N. ; Zell, Jason A. ; Digman, Michelle A. ; Gratton, Enrico ; Li, Jinghong ; Zhao, Weian. / Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system. MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society, 2015. pp. 200-202 (MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences).
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abstract = "Quantification of miRNAs in blood can be potentially used for early disease detection, surveillance monitoring and drug response evaluation. However, quantitative and robust measurement of miRNAs in blood is still a major challenge in large part due to their low concentration and complicated sample preparation processes typically required in conventional assays. Here, we present the 'Integrated Comprehensive Droplet Digital Detection' (IC 3D) system where the plasma sample containing target miRNAs is encapsulated into microdroplets, enzymatically amplified and digitally counted using a novel, high-throughput 3D particle counter. Using Let-7a as a target, we demonstrate that IC 3D can specifically quantify target miRNA directly from blood plasma at extremely low concentrations ranging from 10s to 10,000 copies/mL in ≤ 3 hours without the need for sample processing such as RNA extraction. Using this new tool, we demonstrate that target miRNA content in colon cancer patient blood is significantly higher than that in healthy donor samples.",
author = "Kang, {Dong Ku} and Kaixiang Zhang and Ali, {M. Monsur} and Linan Liu and Louai Labanieh and Mengrou Lu and Hamidreza Riazifar and Nguyen, {Thi N.} and Zell, {Jason A.} and Digman, {Michelle A.} and Enrico Gratton and Jinghong Li and Weian Zhao",
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Kang, DK, Zhang, K, Ali, MM, Liu, L, Labanieh, L, Lu, M, Riazifar, H, Nguyen, TN, Zell, JA, Digman, MA, Gratton, E, Li, J & Zhao, W 2015, Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system. in MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences. MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences, Chemical and Biological Microsystems Society, pp. 200-202, 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2015, Gyeongju, Korea, Republic of, 10/25/15.

Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system. / Kang, Dong Ku; Zhang, Kaixiang; Ali, M. Monsur; Liu, Linan; Labanieh, Louai; Lu, Mengrou; Riazifar, Hamidreza; Nguyen, Thi N.; Zell, Jason A.; Digman, Michelle A.; Gratton, Enrico; Li, Jinghong; Zhao, Weian.

MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society, 2015. p. 200-202 (MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Kang, Dong Ku

AU - Zhang, Kaixiang

AU - Ali, M. Monsur

AU - Liu, Linan

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AU - Lu, Mengrou

AU - Riazifar, Hamidreza

AU - Nguyen, Thi N.

AU - Zell, Jason A.

AU - Digman, Michelle A.

AU - Gratton, Enrico

AU - Li, Jinghong

AU - Zhao, Weian

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AB - Quantification of miRNAs in blood can be potentially used for early disease detection, surveillance monitoring and drug response evaluation. However, quantitative and robust measurement of miRNAs in blood is still a major challenge in large part due to their low concentration and complicated sample preparation processes typically required in conventional assays. Here, we present the 'Integrated Comprehensive Droplet Digital Detection' (IC 3D) system where the plasma sample containing target miRNAs is encapsulated into microdroplets, enzymatically amplified and digitally counted using a novel, high-throughput 3D particle counter. Using Let-7a as a target, we demonstrate that IC 3D can specifically quantify target miRNA directly from blood plasma at extremely low concentrations ranging from 10s to 10,000 copies/mL in ≤ 3 hours without the need for sample processing such as RNA extraction. Using this new tool, we demonstrate that target miRNA content in colon cancer patient blood is significantly higher than that in healthy donor samples.

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M3 - Conference contribution

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T3 - MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences

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BT - MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences

PB - Chemical and Biological Microsystems Society

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Kang DK, Zhang K, Ali MM, Liu L, Labanieh L, Lu M et al. Digital quantification of miRNA in blood using integrated comprehensive droplet digital detection (IC3D) system. In MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society. 2015. p. 200-202. (MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences).