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 transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein
profiling methods as a major pillar for cellular atlas building of complex samples, from …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …

Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in
health and disease, but comprehensive mapping of cell types in situ remains a challenge …

Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …

Chromosomal instability (CIN) is a driver of cancer metastasis,,–, yet the extent to which this
effect depends on the immune system remains unknown. Using ContactTracing—a newly …

Aging is characterized by a progressive deterioration of physiological integrity, leading to
impaired functional ability and ultimately increased susceptibility to death. It is a major risk …

The tumor microenvironment (TME) is composed of many different cellular and acellular
components that together drive tumor growth, invasion, metastasis, and response to …