The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Profiling metabolites and peptides in single cells
Open accessAbstract
The intracellular levels and spatial localizations of metabolites and peptides reflect the state of a cell and its relationship to its surrounding environment. Moreover, the amounts and dynamics of metabolites and peptides are indicative of normal or pathological cellular conditions. Here we highlight established and evolving strategies for characterizing the metabolome and peptidome of single cells. Focused studies of the chemical composition of individual cells and functionally defined groups of cells promise to provide a greater understanding of cell fate, function and homeostatic balance. Single-cell bioanalytical microanalysis has also become increasingly valuable for examining cellular heterogeneity, particularly in the fields of neuroscience, stem cell biology and developmental biology.
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Cites
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042
Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy
Freudiger, C. W., Min, W., Saar, B. G., Lu, S., Holtom, G. R., He, C., Tsai, J. C., Kang, J. X., & Xie, X. S. (2008) · Science · doi:10.1126/science.1165758 · Cited by 2,255
Generation of a functional mammary gland from a single stem cell
Shackleton, M., Vaillant, F., Simpson, K. J., Stingl, J., Smyth, G. K., Asselin-Labat, M.-L., Wu, L., Lindeman, G. J., & Visvader, J. E. (2006) · Nature · doi:10.1038/nature04372 · Cited by 2,005
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876 · cited 1×
“One of the most exciting examples of this is the Brainbow mouse, a strain with a multitude of fluorescent labels that have been genetically encoded and expressed in a stochastic manner at varying concentration levels in different neuron”
Cooks, R. G., Ouyang, Z., Takats, Z., & Wiseman, J. M. (2006) · Science · doi:10.1126/science.1119426 · Cited by 1,474
Bandura, D. R., Baranov, V. I., Ornatsky, O. I., Antonov, A., Kinach, R., Lou, X., Pavlov, S., Vorobiev, S., Dick, J. E., & Tanner, S. D. (2009) · Analytical Chemistry · doi:10.1021/ac901049w · Cited by 1,295
Droplet microfluidic technology for single-cell high-throughput screening
Brouzes, E., Medkova, M., Savenelli, N., Marran, D., Twardowski, M., Hutchison, J. B., Rothberg, J. M., Link, D. R., Perrimon, N., & Samuels, M. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903542106 · Cited by 1,069
Nemes, P., & Vertes, A. (2007) · Analytical Chemistry · doi:10.1021/ac071181r · Cited by 817
Self-citationNuclear reprogramming to a pluripotent state by three approaches
Yamanaka, S., & Blau, H. M. (2010) · Nature · doi:10.1038/nature09229 · Cited by 776
Cited by
Advantages and challenges of microfluidic cell culture in polydimethylsiloxane devices
Halldorsson, S., Lucumi, E., Gómez-Sjöberg, R., & Fleming, R. M. T. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2014.07.029 · Cited by 1,027
Liu, X., & Locasale, J. W. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.01.004 · Cited by 453
Single-cell proteomics enabled by next-generation sequencing or mass spectrometry
Bennett, H. M., Stephenson, W., Rose, C. M., & Darmanis, S. (2023) · Nature Methods · doi:10.1038/s41592-023-01791-5 · Cited by 351
Lombard‐Banek, C., Moody, S. A., & Nemes, P. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201510411 · Cited by 214
Self-citationZhu, H., Zou, G., Wang, N., Zhuang, M., Xiong, W., & Huang, G. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615557114 · Cited by 133
Metadata
- Authors
- Rubakhin, S. S., Romanova, E. V., Nemes, P., & Sweedler, J. V.
- Venue
- Nature Methods
- Published
- 2011-03-30
- Volume
- 8
- Issue
- S4
- Pages
- S20-S29
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2081412654
- Cited by
- 347
- References
- 80
- FWCI
- 13.64
- 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).
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