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 …

Joint profiling of chromatin accessibility and gene expression in individual cells provides an
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …

Cell types are the basic functional units of an organism. Cell types exhibit diverse
phenotypic properties at multiple levels, making them challenging to define, categorize, and …

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 …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

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

Spatial transcriptomics technologies are used to profile transcriptomes while preserving
spatial information, which enables high-resolution characterization of transcriptional patterns …

Biological systems are immensely complex, organized into a multi-scale hierarchy of
functional units based on tightly regulated interactions between distinct molecules, cells …