The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-Throughput Single Copy DNA Amplification and Cell Analysis in Engineered Nanoliter Droplets
Abstract
A high-throughput single copy genetic amplification (SCGA) process is developed that utilizes a microfabricated droplet generator (microDG) to rapidly encapsulate individual DNA molecules or cells together with primer functionalized microbeads in uniform PCR mix droplets. The nanoliter volume droplets uniquely enable quantitative high-yield amplification of DNA targets suitable for long-range sequencing and genetic analysis. A hybrid glass-polydimethylsiloxane (PDMS) microdevice assembly is used to integrate a micropump into the microDG that provides uniform droplet size, controlled generation frequency, and effective bead incorporation. After bulk PCR amplification, the droplets are lysed and the beads are recovered and rapidly analyzed via flow cytometry. DNA targets ranging in size from 380 to 1139 bp at single molecule concentrations are quantitatively amplified using SCGA. Long-range sequencing results from beads each carrying approximately 100 amol of a 624 bp product demonstrate that these amplicons are competent for achieving attomole-scale Sanger sequencing from a single bead and for advancing pyrosequencing read-lengths. Successful single cell analysis of the glyceraldehyde 3 phosphate dehydrogenase (GAPDH) gene in human lymphocyte cells and of the gyr B gene in bacterial Escherichia coli K12 cells establishes that SCGA will also be valuable for performing high-throughput genetic analysis on single cells.
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Cites
A haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858
The Diploid Genome Sequence of an Individual Human
Levy, S., Sutton, G., Ng, P. C., Feuk, L., Halpern, A. L., Walenz, B. P., Axelrod, N., Huang, J., Kirkness, E. F., Denisov, G., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050254 · Cited by 1,778
Stochastic protein expression in individual cells at the single molecule level
Cai, L., Friedman, N., & Xie, X. S. (2006) · Nature · doi:10.1038/nature04599 · Cited by 1,145
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Shang, L., Cheng, Y., & Zhao, Y. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00848 · Cited by 1,584
Quan, P.-L., Sauzade, M., & Brouzes, E. (2018) · Sensors · doi:10.3390/s18041271 · Cited by 664
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Baret, J.-C. (2012) · Lab Chip · doi:10.1039/c1lc20582j · Cited by 649
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Yeo, L. Y., Chang, H., Chan, P. P. Y., & Friend, J. R. (2011) · Small · doi:10.1002/smll.201000946 · Cited by 622
Microdroplets: A sea of applications?
Huebner, A., Sharma, S., Srisa-Art, M., Hollfelder, F., Edel, J. B., & deMello, A. J. (2008) · Lab on a Chip · doi:10.1039/b806405a · Cited by 619
Latest Developments in Micro Total Analysis Systems
Arora, A., Simone, G., Salieb-Beugelaar, G. B., Kim, J. T., & Manz, A. (2010) · Analytical Chemistry · doi:10.1021/ac100969k · Cited by 421
Measurement of single-cell dynamics
Spiller, D. G., Wood, C. D., Rand, D. A., & White, M. R. H. (2010) · Nature · doi:10.1038/nature09232 · Cited by 411
High-Throughput Quantitative Polymerase Chain Reaction in Picoliter Droplets
Kiss, M. M., Ortoleva-Donnelly, L., Beer, N. R., Warner, J., Bailey, C. G., Colston, B. W., Rothberg, J. M., Link, D. R., & Leamon, J. H. (2008) · Analytical Chemistry · doi:10.1021/ac801276c · Cited by 326
Shen, F., Du, W., Kreutz, J. E., Fok, A., & Ismagilov, R. F. (2010) · Lab on a Chip · doi:10.1039/c004521g · Cited by 295
Metadata
- Authors
- Kumaresan, P., Yang, C. J., Cronier, S. A., Blazej, R. G., & Mathies, R. A.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-04-15
- Volume
- 80
- Issue
- 10
- Pages
- 3522-3529
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2045551515
- Cited by
- 226
- References
- 3
- FWCI
- 14.92
- Type
- journal article
- Language
- en
- Open access
- closed
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