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Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR

Cancers are heterogeneous and genetically unstable. New methods are needed that provide the sensitivity and specificity to query single cells at the genetic loci that drive cancer progression, thereby enabling researchers to study the progression of individual tumors. Here, we report the development...

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Autores principales: Shuga, Joe, Zeng, Yong, Novak, Richard, Lan, Qing, Tang, Xiaojiang, Rothman, Nathaniel, Vermeulen, Roel, Li, Laiyu, Hubbard, Alan, Zhang, Luoping, Mathies, Richard A., Smith, Martyn T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3763562/
https://www.ncbi.nlm.nih.gov/pubmed/23873959
http://dx.doi.org/10.1093/nar/gkt613
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author Shuga, Joe
Zeng, Yong
Novak, Richard
Lan, Qing
Tang, Xiaojiang
Rothman, Nathaniel
Vermeulen, Roel
Li, Laiyu
Hubbard, Alan
Zhang, Luoping
Mathies, Richard A.
Smith, Martyn T.
author_facet Shuga, Joe
Zeng, Yong
Novak, Richard
Lan, Qing
Tang, Xiaojiang
Rothman, Nathaniel
Vermeulen, Roel
Li, Laiyu
Hubbard, Alan
Zhang, Luoping
Mathies, Richard A.
Smith, Martyn T.
author_sort Shuga, Joe
collection PubMed
description Cancers are heterogeneous and genetically unstable. New methods are needed that provide the sensitivity and specificity to query single cells at the genetic loci that drive cancer progression, thereby enabling researchers to study the progression of individual tumors. Here, we report the development and application of a bead-based hemi-nested microfluidic droplet digital PCR (dPCR) technology to achieve ‘quantitative’ measurement and single-molecule sequencing of somatically acquired carcinogenic translocations at extremely low levels (<10(−6)) in healthy subjects. We use this technique in our healthy study population to determine the overall concentration of the t(14;18) translocation, which is strongly associated with follicular lymphoma. The nested dPCR approach improves the detection limit to 1 × 10(−7) or lower while maintaining the analysis efficiency and specificity. Further, the bead-based dPCR enabled us to isolate and quantify the relative amounts of the various clonal forms of t(14;18) translocation in these subjects, and the single-molecule sensitivity and resolution of dPCR led to the discovery of new clonal forms of t(14;18) that were otherwise masked by the conventional quantitative PCR measurements. In this manner, we created a quantitative map for this carcinogenic mutation in this healthy population and identified the positions on chromosomes 14 and 18 where the vast majority of these t(14;18) events occur.
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spelling pubmed-37635622013-09-10 Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR Shuga, Joe Zeng, Yong Novak, Richard Lan, Qing Tang, Xiaojiang Rothman, Nathaniel Vermeulen, Roel Li, Laiyu Hubbard, Alan Zhang, Luoping Mathies, Richard A. Smith, Martyn T. Nucleic Acids Res Methods Online Cancers are heterogeneous and genetically unstable. New methods are needed that provide the sensitivity and specificity to query single cells at the genetic loci that drive cancer progression, thereby enabling researchers to study the progression of individual tumors. Here, we report the development and application of a bead-based hemi-nested microfluidic droplet digital PCR (dPCR) technology to achieve ‘quantitative’ measurement and single-molecule sequencing of somatically acquired carcinogenic translocations at extremely low levels (<10(−6)) in healthy subjects. We use this technique in our healthy study population to determine the overall concentration of the t(14;18) translocation, which is strongly associated with follicular lymphoma. The nested dPCR approach improves the detection limit to 1 × 10(−7) or lower while maintaining the analysis efficiency and specificity. Further, the bead-based dPCR enabled us to isolate and quantify the relative amounts of the various clonal forms of t(14;18) translocation in these subjects, and the single-molecule sensitivity and resolution of dPCR led to the discovery of new clonal forms of t(14;18) that were otherwise masked by the conventional quantitative PCR measurements. In this manner, we created a quantitative map for this carcinogenic mutation in this healthy population and identified the positions on chromosomes 14 and 18 where the vast majority of these t(14;18) events occur. Oxford University Press 2013-09 2013-07-19 /pmc/articles/PMC3763562/ /pubmed/23873959 http://dx.doi.org/10.1093/nar/gkt613 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Shuga, Joe
Zeng, Yong
Novak, Richard
Lan, Qing
Tang, Xiaojiang
Rothman, Nathaniel
Vermeulen, Roel
Li, Laiyu
Hubbard, Alan
Zhang, Luoping
Mathies, Richard A.
Smith, Martyn T.
Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title_full Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title_fullStr Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title_full_unstemmed Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title_short Single molecule quantitation and sequencing of rare translocations using microfluidic nested digital PCR
title_sort single molecule quantitation and sequencing of rare translocations using microfluidic nested digital pcr
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3763562/
https://www.ncbi.nlm.nih.gov/pubmed/23873959
http://dx.doi.org/10.1093/nar/gkt613
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