The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Single cell analysis: the new frontier in ‘omics’
Open accessAbstract
Cellular heterogeneity arising from stochastic expression of genes, proteins and metabolites is a fundamental principle of cell biology, but single cell analysis has been beyond the capabilities of ‘Omics’ technologies. This is rapidly changing with the recent examples of single cell genomics, transcriptomics, proteomics and metabolomics. The rate of change is expected to accelerate owing to emerging technologies that range from micro/nanofluidics to microfabricated interfaces for mass spectrometry to third- and fourth-generation automated DNA sequencers. As described in this review, single cell analysis is the new frontier in Omics, and single cell Omics has the potential to transform systems biology through new discoveries derived from cellular heterogeneity.
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Cites
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Paxdb, a database of protein abundance averages across all three domains of life
Wang, M., Weiss, M., Simonovic, M., Haertinger, G., Schrimpf, S. P., Hengartner, M. O., & von Mering, C. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.014704 · Cited by 466
Bioaugmentation and its application in wastewater treatment: A review
Herrero, M., & Stuckey, D. C. (2015) · Chemosphere · doi:10.1016/j.chemosphere.2014.10.033 · Cited by 461
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Metadata
- Authors
- Wang, D., & Bodovitz, S.
- Venue
- Trends in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 28
- Issue
- 6
- Pages
- 281-290
- ISSN
- 0167-7799 (ISSN-L)
- OpenAlex
- W1540655326
- Cited by
- 673
- References
- 10
- FWCI
- 2.50
- 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.
