Cited by 618Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsCancer Cells and Metastasis

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Tumour heterogeneity and metastasis at single-cell resolution

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Abstract

Tumours comprise a heterogeneous collection of cells with distinct genetic and phenotypic properties that can differentially promote progression, metastasis and drug resistance. Emerging single-cell technologies provide a new opportunity to profile individual cells within tumours and investigate what roles they play in these processes. This Review discusses key technological considerations for single-cell studies in cancer, new findings using single-cell technologies and critical open questions for future applications.

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Crossref · 10.1038/s41556-018-0236-7

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Research works printed but not linked: 2

  1. Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352, 189–196 (2016). · DOI · Paper page
  2. Klein, A. M. et al. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161, 1187–1201 (2015). · DOI · Paper page

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Items 501–600 of 618

Metadata

Authors
Lawson, D. A., Kessenbrock, K., Davis, R. T., Pervolarakis, N., & Werb, Z.
Affiliations
  • University of California, Irvine (US)
  • University of California, San Francisco (US)
Corresponding author
  • Lawson, Devon A.
  • Kessenbrock, Kai
Venue
Nature Cell Biology
Published
2018-11-26
Volume
20
Issue
12
Pages
1349-1360
ISSN
  • 1465-7392 (ISSN-L)
  • 1476-4679
OpenAlex
W2900850487
Cited by
606
References
157
Citations by year
2026: 51 · 2025: 78 · 2024: 89 · 2023: 74 · 2022: 90 · 2021: 98 · 2020: 76 · 2019: 48 · 2018: 1
FWCI
5.55
Type
journal article
Language
en
Open access
Locations
  • Nature Cell Biology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Cancer Institute (R00CA181490, U01CA199315, K22CA190511, U54CA217378, T32CA009054)
  • National Institute of Biomedical Imaging and Bioengineering (T32EB009418)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
Keywords
tumor heterogeneity, metastasis, single-cell technologies, single-cell profiling, tumor progression, drug resistance, tumor cell subpopulations
MeSH terms
Humans, Neoplastic Cells, Circulating, Neoplasm Metastasis, Neoplasms, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Genetic Heterogeneity, Single-Cell Analysis, Tumor Microenvironment

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