The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Integrated microfluidic bioprocessor for single-cell gene expression analysis
Open accessAbstract
An integrated microdevice is developed for the analysis of gene expression in single cells. The system captures a single cell, transcribes and amplifies the mRNA, and quantitatively analyzes the products of interest. The key components of the microdevice include integrated nanoliter metering pumps, a 200-nL RT-PCR reactor with a single-cell capture pad, and an affinity capture matrix for the purification and concentration of products that is coupled to a microfabricated capillary electrophoresis separation channel for product analysis. Efficient microchip integration of these processes enables the sensitive and quantitative examination of gene expression variation at the single-cell level. This microdevice is used to measure siRNA knockdown of the GAPDH gene in individual Jurkat cells. Single-cell measurements suggests the presence of 2 distinct populations of cells with moderate (≈50%) or complete (≈0%) silencing. This stochastic variation in gene expression and silencing within single cells is masked by conventional bulk measurements.
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Cites
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
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
Probing Gene Expression in Live Cells, One Protein Molecule at a Time
Yu, J., Xiao, J., Ren, X., Lao, K., & Xie, X. S. (2006) · Science · doi:10.1126/science.1119623 · Cited by 918
Cited by
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Horvath, P., Aulner, N., Bickle, M., Davies, A. M., Nery, E. D., Ebner, D., Montoya, M. C., Östling, P., Pietiäinen, V., Price, L. S., et al. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.175 · Cited by 525
Mass spectrometry-based proteomics: existing capabilities and future directions
Angel, T. E., Aryal, U. K., Hengel, S. M., Baker, E. S., Kelly, R. T., Robinson, E. W., & Smith, R. D. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15331a · Cited by 441
Single-Cell Transcriptomics of the Human Endocrine Pancreas
Wang, Y. J., Schug, J., Won, K.-J., Liu, C., Naji, A., Avrahami, D., Golson, M. L., & Kaestner, K. H. (2016) · Diabetes · doi:10.2337/db16-0405 · Cited by 432
Industrial lab-on-a-chip: Design, applications and scale-up for drug discovery and delivery
Vladisavljević, G. T., Khalid, N., Neves, M. A., Kuroiwa, T., Nakajima, M., Uemura, K., Ichikawa, S., & Kobayashi, I. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.07.017 · Cited by 313
Han, L., Zi, X., Garmire, L. X., Wu, Y., Weissman, S. M., Pan, X., & Fan, R. (2014) · Scientific Reports · doi:10.1038/srep06485 · Cited by 83
Metadata
- Authors
- Toriello, N. M., Douglas, E. S., Thaitrong, N., Hsiao, S. C., Francis, M. B., Bertozzi, C. R., & Mathies, R. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-12-23
- Volume
- 105
- Issue
- 51
- Pages
- 20173-20178
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2130029353
- Cited by
- 236
- References
- 3
- FWCI
- 14.71
- Type
- journal article
- Language
- en
- Open access
- green
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- Toriello, N. M., Douglas, E. S., Thaitrong, N., Hsiao, S. C., Francis, M. B., Bertozzi, C. R., & Mathies, R. A. (2008). Integrated microfluidic bioprocessor for single-cell gene expression analysis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0806355106
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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