The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
High-Performance Single Cell Genetic Analysis Using Microfluidic Emulsion Generator Arrays
Open accessAbstract
High-throughput genetic and phenotypic analysis at the single cell level is critical to advance our understanding of the molecular mechanisms underlying cellular function and dysfunction. Here we describe a high-performance single cell genetic analysis (SCGA) technique that combines high-throughput microfluidic emulsion generation with single cell multiplex polymerase chain reaction (PCR). Microfabricated emulsion generator array (MEGA) devices containing 4, 32, and 96 channels are developed to confer a flexible capability of generating up to 3.4 x 10(6) nanoliter-volume droplets per hour. Hybrid glass-polydimethylsiloxane diaphragm micropumps integrated into the MEGA chips afford uniform droplet formation, controlled generation frequency, and effective transportation and encapsulation of primer functionalized microbeads and cells. A multiplex single cell PCR method is developed to detect and quantify both wild type and mutant/pathogenic cells. In this method, microbeads functionalized with multiple forward primers targeting specific genes from different cell types are used for solid-phase PCR in droplets. Following PCR, the droplets are lysed and the beads are pooled and rapidly analyzed by multicolor flow cytometry. Using Escherichia coli bacterial cells as a model, we show that this technique enables digital detection of pathogenic E. coli O157 cells in a high background of normal K12 cells, with a detection limit on the order of 1/10(5). This result demonstrates that multiplex SCGA is a promising tool for high-throughput quantitative digital analysis of genetic variation in complex populations.
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Cites
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Detection and quantification of mutations in the plasma of patients with colorectal tumors
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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
Sensitive digital quantification of DNA methylation in clinical samples
Li, M., Chen, W.-D., Papadopoulos, N., Goodman, S. N., Bjerregaard, N. C., Laurberg, S., Levin, B., Juhl, H., Arber, N., Moinova, H., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1559 · Cited by 341
BEAMing up for detection and quantification of rare sequence variants
Li, M., Diehl, F., Dressman, D., Vogelstein, B., & Kinzler, K. W. (2006) · Nature Methods · doi:10.1038/nmeth850 · Cited by 261
Cited by
Seemann, R., Brinkmann, M., Pfohl, T., & Herminghaus, S. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/1/016601 · Cited by 1,049
Surfactants in droplet-based microfluidics
Baret, J.-C. (2012) · Lab Chip · doi:10.1039/c1lc20582j · Cited by 649
The role of physiological heterogeneity in microbial population behavior
Lidstrom, M. E., & Konopka, M. C. (2010) · Nature Chemical Biology · doi:10.1038/nchembio.436 · Cited by 296
Micro Total Analysis Systems for Cell Biology and Biochemical Assays
Kovarik, M. L., Gach, P. C., Ornoff, D. M., Wang, Y., Balowski, J., Farrag, L., & Allbritton, N. L. (2012) · Analytical Chemistry · doi:10.1021/ac202611x · Cited by 270
Kreutz, J. E., Munson, T., Huynh, T., Shen, F., Du, W., & Ismagilov, R. F. (2011) · Analytical Chemistry · doi:10.1021/ac201658s · Cited by 148
Metadata
- Authors
- Zeng, Y., Novak, R., Shuga, J., Smith, M. T., & Mathies, R. A.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-01
- Volume
- 82
- Issue
- 8
- Pages
- 3183-3190
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1968579293
- Cited by
- 232
- References
- 6
- FWCI
- 18.57
- Type
- journal article
- Language
- en
- Open access
- green
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