The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Single-cell protein analysis
Open accessAbstract
Heterogeneity of cellular systems has been widely recognized but only recently have tools become available that allow probing of genes and proteins in single cells to understand it. While the advancement in single cell genomic analysis has been greatly aided by the power of amplification techniques (e.g., PCR), analysis of proteins in single cells has proven to be more challenging. However, recent advances in multi-parameter flow cytometry, microfluidics and other techniques have made it possible to measure wide variety of proteins in single cells. In this review, we highlight key recent developments in analysis of proteins in a single cell, and discuss their significance in biological research.
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Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
Taniguchi, Y., Choi, P. J., Li, G.-W., Chen, H., Babu, M., Hearn, J., Emili, A., & Xie, X. S. (2010) · Science · doi:10.1126/science.1188308 · Cited by 1,982 · cited 1×
“Alternatives to antibodies include genetic probes – the GFP family of fluorescent proteins that can be genetically fused to the protein of interest, and translated into fluorescent fusion proteins that are detectable and quantifiable, even for large scale proteomic profiling [33].”
Seventeen-colour flow cytometry: unravelling the immune system
Perfetto, S. P., Chattopadhyay, P. K., & Roederer, M. (2004) · Nature Reviews Immunology · doi:10.1038/nri1416 · Cited by 1,019
Ma, C., Fan, R., Ahmad, H., Shi, Q., Comin-Anduix, B., Chodon, T., Koya, R. C., Liu, C.-C., Kwong, G. A., Radu, C. G., et al. (2011) · Nature Medicine · doi:10.1038/nm.2375 · Cited by 441 · cited 2×
“In a clinical context, single-cell level examination of T cell populations previously thought to be homogeneous were found to contain subpopulations with different cytokine profiles [25 ], and these differences may serve to predict patient immune response to drug therapy.”
Cited by
Zitnik, M., Nguyen, F., Wang, B., Leskovec, J., Goldenberg, A., & Hoffman, M. M. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.09.012 · Cited by 675
Single-cell multiomics: multiple measurements from single cells
Macaulay, I. C., Ponting, C. P., & Voet, T. (2017) · Trends in Genetics · doi:10.1016/j.tig.2016.12.003 · Cited by 451
Inferring biological networks by sparse identification of nonlinear dynamics
Mangan, N. M., Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · IEEE Transactions on Molecular, Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2016.2633265 · Cited by 436
Protein post-translational modifications and regulation of pluripotency in human stem cells
Wang, Y.-C., Peterson, S. E., & Loring, J. F. (2014) · Cell Research · doi:10.1038/cr.2013.151 · Cited by 395
Single Cell Isolation and Analysis
Hu, P., Zhang, W., Xin, H., & Deng, G. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2016.00116 · Cited by 384
Metadata
- Authors
- Wu, M., & Singh, A. K.
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 23
- Issue
- 1
- Pages
- 83-88
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2136482549
- Cited by
- 167
- References
- 4
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
