Tumour evolution inferred by single-cell sequencing

By N. Navin, J. Kendall, J. Troge, Peter A. Andrews, L. Rodgers, J. McIndoo, K. Cook, A. Stepansky, D. Levy, D. Esposito and 5 more. Nature, 2011

2,594 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/807307141ba49471fbce69662a1ad601a3ab7fbb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Charles Swanton
2. Nicholas McGranahan
3. Gad Getz
4. Peter J. Campbell
5. Dominic Grün
6. Alexander van Oudenaarden
7. Daniel C. Koboldt
8. S. Nik-Zainal

In Genetics

1. Pavel A. Pevzner
2. Alexander van Oudenaarden
3. Dmitry Antipov
4. Dominic Grün
5. Charles Swanton
6. Nicholas McGranahan
7. Peter W. Laird
8. R. Weinberg

In Molecular Biology

1. Pavel A. Pevzner
2. Nicholas McGranahan
3. Charles Swanton
4. Alexander van Oudenaarden
5. Eric S. Lander
6. Dominic Grün
7. Peter W. Laird
8. R. Weinberg

Citations in the corpus

• Evolution and impact of subclonal mutations in chronic lymphocytic leukemia (2013, positive): “Recent genomic studies have revealed that individual cancer samples are genetically heterogeneous and contain subclonal populations (Carter et al., 2012; Ding et al., 2012; Gerlinger et al., 2012; Mullighan et al., 2008; Navin et al., 2011; Nik-Zainal et al., 2012; Shah et al., 2012).”
• Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing (2014, methodology): “We flow-sorted 50 single nuclei from the H, D and A ploidy distributions for copy number profiling using SNS (Fig.”
• Mapping the Mouse Cell Atlas by Microwell-Seq. (2018, positive): “Other methodologies, such as single-cell genome analysis (Hou et al., 2012; Navin et al., 2011; Wang et al., 2012; Xu et al., 2012), epigenome analysis (Buenrostro et al.”
• Clonal evolution in relapsed acute myeloid leukemia revealed by whole genome sequencing (2012, positive): “…who recently described patterns of clonal evolution in ALL patients using FISH and/or copy number alterations detected by SNP arrays, and it enhances the understanding of genetic changes acquired during disease progression, as previously described for breast and pancreatic cancer metastases 22–25 .”
• Signal transduction in cancer. (2015, neutral): “…from sequencing of single cells and multiple regions of tumors from individual patients has revealed this is far greater than previously imagined (Navin et al. 2011; Ruiz et al. 2011; Ding et al. 2012; Gerlinger et al. 2012; Xu et al. 2012b; Bashashati et al. 2013) In one study of kidney tumors,…”
• A deep generative model for gene expression profiles from single-cell RNA sequencing (2017, background): “Therefore, single-cell experiments took gene expression understanding to the next level with applications in immunology [4], oncology [5] and other subfields of biology [6].”
• SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing (2012, background): “…in 2011 have opened the possibilities of performing genome-wide haplotyping (Fan et al., 2011), studying heterogeneity within stem cell and tumor populations (Dalerba et al., 2011), tracing tumor evolution (Navin et al., 2011), and characterizing a single-cell transcriptome (Islam et al., 2011).”