Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

By Huipeng Li, Elise T. Courtois, Debarka Sengupta, Yuliana Tan, Kok Hao Chen, Jolene Jie Lin Goh, S. Kong, C. Chua, Lim Kiat Hon, W. Tan and 7 more. Nature Genetics, 2017

962 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/00504f819aa49e9105af04b64267eb712f2de946

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Citations in the corpus

In search of definitions: Cancer‐associated fibroblasts and their markers (2019, background): “Downregulaled in one CAF subtype (CAF-A).(23,28,66) No”
Machine learning approaches to drug response prediction: challenges and recent progress (2020, methodology): “New computational pipelines and approaches have been developed to improve all the steps in processing of the single-cell sequencing data 93,94 , including tackling noise and dropout in these experiments, normalization techniques, dimensionality reduction 95 – 97 and clustering approaches 98,99 .”
Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts. (2019, background): “PDPN has been shown to be expressed in a specific subtype of CAFs in patients with colorectal cancer (44), and high PDPN expression in stromal fibroblasts was correlated with poorer prognosis in patients with pancreatic cancer (45).”
Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer. (2020, background): “The first single-cell data on CAFs from human cancers and mouse models confirmed the existence of ECM-rich (CAF-S1) and contractile (CAF-S4) subpopulations (16, 24, 26, 29, 38), indicating that CAF-S1 and CAF-S4 can be detected in distinct cancer types and across species.”
Spatially organized multicellular immune hubs in human colorectal cancer (2021, methodology): “, 2016) or single cells (Lee et al., 2020; Li et al., 2017; Zhang et al., 2018, 2020) have been used to classify colorectal cancer (CRC) into subtypes, define their cellular composition, and infer interaction networks between cell types based on the expression of receptor-ligand pairs.”