The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Advances and Applications of Single-Cell Sequencing Technologies
Open accessAbstract
Single cell sequencing (SCS) has emerged as a powerful new set of technologies for studying rare cells and delineating complex populations. Over the past 5 years, SCS methods for DNA and RNA have had a broad impact on many diverse fields of biology, including microbiology, neurobiology, development, tissue mosaicism, immunology and cancer research. In this review, we will discuss SCS technologies and applications, as well as translational applications in the clinic.
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Cites
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
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Organoid models of human and mouse ductal pancreatic cancer
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Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Usoskin, D., Furlan, A., Islam, S., Abdo, H., Lönnerberg, P., Lou, D., Hjerling-Leffler, J., Haeggström, J., Kharchenko, O., Kharchenko, P. V., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3881 · Cited by 2,136
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
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Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Elefant, N., Paul, F., Zaretsky, I., Mildner, A., Cohen, N., Jung, S., Tanay, A., et al. (2014) · Science · doi:10.1126/science.1247651 · Cited by 1,795
Single-cell Hi-C reveals cell-to-cell variability in chromosome structure
Nagano, T., Lubling, Y., Stevens, T. J., Schoenfelder, S., Yaffe, E., Dean, W., Laue, E. D., Tanay, A., & Fraser, P. (2013) · Nature · doi:10.1038/nature12593 · Cited by 1,589
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
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Cited by
Partners, C.-N. M. A., Xue, Y., Bao, Y., Zhang, Z., Zhao, W., Xiao, J., He, S., Zhang, G., Li, Y., Zhao, G., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab951 · Cited by 1,044
Self-citationRapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Ho, C.-S., Jean, N., Hogan, C. A., Blackmon, L., Jeffrey, S. S., Holodniy, M., Banaei, N., Saleh, A. A. E., Ermon, S., & Dionne, J. (2019) · Nature Communications · doi:10.1038/s41467-019-12898-9 · Cited by 871
Revealing the vectors of cellular identity with single-cell genomics
Wagner, A., Regev, A., & Yosef, N. (2016) · Nature Biotechnology · doi:10.1038/nbt.3711 · Cited by 632
Decontamination of ambient RNA in single-cell RNA-seq with DecontX
Yang, S., Corbett, S. E., Koga, Y., Wang, Z., Johnson, W. E., Yajima, M., & Campbell, J. D. (2020) · Genome Biology · doi:10.1186/s13059-020-1950-6 · Cited by 635
Booth, L. N., & Brunet, A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.05.013 · Cited by 499
Metadata
- Authors
- Wang, Y., & Navin, N. E.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 58
- Issue
- 4
- Pages
- 598-609
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2133811295
- Cited by
- 618
- References
- 31
- FWCI
- 22.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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