Cancer represents an evolutionary process through which growing malignant populations
genetically diversify, leading to tumour progression, relapse and resistance to therapy. In …

Cancers are characterized by extensive heterogeneity that occurs intratumorally, between
lesions, and across patients. To study cancer as a complex biological system …

The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …

Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

Single cell high throughput genomic measurements are revolutionizing the fields of biology
and medicine, providing a means to tackle biological problems that have thus far been …

Cancer is a major cause of global mortality underpinned by genomic and epigenomic
derangements. Here, we highlight the importance of multimodal data integration in …

It has become increasingly clear that both normal and cancer tissues are composed of
heterogeneous populations. Genetic variation can be attributed to the downstream effects of …

Human cancer cell lines have long served as tools for cancer research and drug discovery,
but the presence and the source of intra-cell-line heterogeneity remain elusive. Here, we …

Single-cell multiomics technologies typically measure multiple types of molecule from the
same individual cell, enabling more profound biological insight than can be inferred by …

Cells are a fundamental unit of life, and the ability to study the phenotypes and behaviors of
individual cells is crucial to understanding the workings of complex biological systems. Cell …