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 …

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

Spatial omics technologies generate wealthy but highly complex datasets. Here we present
Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources …

Distribution shifts—where the training distribution differs from the test distribution—can
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …

A common drawback of metabolic analyses of complex biological samples is the inability to
consider cell-to-cell heterogeneity in the context of an organ or tissue. To overcome this …

Mass spectrometry (MS) has become a central technique in cancer research. The ability to
analyze various types of biomolecules in complex biological matrices makes it well suited for …

Chemical exchange often serves as the first step in plant–microbe interactions and
exchanges of various signals, nutrients, and metabolites continue throughout the interaction …

Single-cell metabolomics with mass spectrometry enables a large variety of metabolites to
be simultaneously detected from individual cells, without any preselection or labelling, to …

Spatial metabolomics is an emerging field of omics research that has enabled localizing
small molecules in tissues and cells. Mass spectrometry imaging (MSI) technologies allow …