Title |
Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis
|
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Published in |
Clinical and Translational Medicine, April 2017
|
DOI | 10.1186/s40169-017-0145-6 |
Pubmed ID | |
Authors |
Darrell L. Ellsworth, Heather L. Blackburn, Craig D. Shriver, Shahrooz Rabizadeh, Patrick Soon-Shiong, Rachel E. Ellsworth |
Abstract |
Extensive genomic and transcriptomic heterogeneity in human cancer often negatively impacts treatment efficacy and survival, thus posing a significant ongoing challenge for modern treatment regimens. State-of-the-art DNA- and RNA-sequencing methods now provide high-resolution genomic and gene expression portraits of individual cells, facilitating the study of complex molecular heterogeneity in cancer. Important developments in single-cell sequencing (SCS) technologies over the past 5 years provide numerous advantages over traditional sequencing methods for understanding the complexity of carcinogenesis, but significant hurdles must be overcome before SCS can be clinically useful. In this review, we: (1) highlight current methodologies and recent technological advances for isolating single cells, single-cell whole-genome and whole-transcriptome amplification using minute amounts of nucleic acids, and SCS, (2) summarize research investigating molecular heterogeneity at the genomic and transcriptomic levels and how this heterogeneity affects clonal evolution and metastasis, and (3) discuss the promise for integrating SCS in the clinical care arena for improved patient care. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 8 | 27% |
United States | 5 | 17% |
Canada | 3 | 10% |
Australia | 2 | 7% |
Austria | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 10 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 57% |
Practitioners (doctors, other healthcare professionals) | 8 | 27% |
Scientists | 4 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Unknown | 168 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 38 | 22% |
Student > Ph. D. Student | 36 | 21% |
Student > Bachelor | 22 | 13% |
Student > Master | 11 | 7% |
Student > Doctoral Student | 8 | 5% |
Other | 26 | 15% |
Unknown | 28 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 51 | 30% |
Agricultural and Biological Sciences | 39 | 23% |
Medicine and Dentistry | 21 | 12% |
Computer Science | 7 | 4% |
Immunology and Microbiology | 5 | 3% |
Other | 13 | 8% |
Unknown | 33 | 20% |