Single-cell atlases promise to provide a 'missing link'between genes, diseases and
therapies. By identifying the specific cell types, states, programs and contexts where disease …

Anti-angiogenic therapies (AATs) are used to treat different types of cancers. However, their
success is limited owing to insufficient efficacy and resistance. Recently, single-cell omics …

Map** single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

Monocyte-derived tumor-associated macrophages (Mo-TAMs) intensively infiltrate diffuse
gliomas with remarkable heterogeneity. Using single-cell transcriptomics, we chart a …

Numerous cancers express platelet-derived growth factors (PDGFs) and PDGF receptors
(PDGFRs). By directly stimulating tumour cells in an autocrine manner or by stimulating …

As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has
become a powerful tool for describing cell subpopulation classification and cell …

Fibroblasts are poorly characterised cells that variably impact tumour progression. Here, we
use single cell RNA-sequencing, multiplexed immunohistochemistry and digital cytometry …

Precision cancer medicine is a multidisciplinary team effort that requires involvement and
commitment of many stakeholders including the society at large. Building on the success of …

Human tumors are intricate ecosystems composed of diverse genetic clones and malignant
cell states that evolve in a complex tumor micro-environment. Single-cell RNA-sequencing …

The molecular heterogeneity of cancer cells contributes to the often partial response to
targeted therapies and relapse of disease due to the escape of resistant cell populations …