Single-cell sequencing technology has been applied to the field of cancer, revealing exciting discoveries in the potential mechanisms of tumor driver gene mutation, clonal evolution, invasion and metastasis. It also provides favorable conditions for developing new tumor biomarkers and providing more ...
Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis Darrell L. Ellsworth, Heather L. Blackburn, Craig D. Shriver, Shahrooz Rabizadeh, Patrick Soon-Shiong & Rachel E. Ellsworth Clinical and Translational Medicine volume 6, Article number: 15 (201...
single-cell sequencingstromatumour microenvironmentHere, using single-cell RNA sequencing, we examine the stromal compartment in murine melanoma and draining lymph nodes (LNs) at points across tumor development, providing data at http://www.teichlab.org/data/. Naive lymphocytes from LNs undergo ...
Single-cell atlas of human breast cancer.aUMAP plot of 49,141 cells from tumor tissue of the 8 untreated breast cancer patients, showing 10 clusters in the plot. Each cluster was shown in different color. R package harmony was used to correct batch effects and constructed one UMAP based on...
Lung adenocarcinoma (LUAD) harboring EGFR mutations prevails in Asian population. However, the inter-patient and intra-tumor heterogeneity has not been addressed at single-cell resolution. Here we performed single-cell RNA sequencing (scRNA-seq) of total
A protocol for whole-genome, single-cell sequencing could help identify new cancer markers and therapeutic targets. Individual cells were isolated from kidney cancer samples from patients, and the samples' DNA was amplified. Exome sequencing of the amplified DNA identified genetic variability at the ...
In this study, we analyzed tumor epithelial cells and associated nonmalignant cells of the tumor microenvironment of lung adenocarcinomas by single-cell RNA sequencing. Extending previous single-cell studies [7,8,9,10], we found that the heterogeneous cellular composition of the tumor microenvironment...
Single-cell sequencing promises a high-resolution view of genetic heterogeneity and clonal evolution in cancer. However, methods to infer tumor evolution from single-cell sequencing data lag behind methods developed for bulk-sequencing data. Here, we present OncoNEM, a probabilistic method for inferrin...
Single-cell sequencing (scRNA-seq) distinguished from traditional bulk RNA-seq, interpreted the gene expression patterns of each cell and explored the intercellular signaling networks. In recent years, it has been wildly used in cancer research (Lambrechts et al., 2018, Olsen and Baryawno, 2018...
The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) is a complex ecosystem that drives tumor progression; however, in-depth single cell characterization of the PDAC TME and its role in response to therapy is lacking. Here, we perf