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

In the last decade, single-cell RNA sequencing routinely performed on large numbers of
single cells has greatly advanced our understanding of the underlying heterogeneity of …

The dia-PASEF technology uses ion mobility separation to reduce signal interferences and
increase sensitivity in proteomic experiments. Here we present a two-dimensional peak …

Primary cilia, antenna-like sensory organelles protruding from the surface of most vertebrate
cell types, are essential for regulating signalling pathways during development and adult …

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

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

Mass spectrometry (MS)-based proteomics has become a powerful technology to quantify
the entire complement of proteins in cells or tissues. Here, we review challenges and recent …

Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently
become technically feasible. While such analysis has the potential to accurately quantify …

Single-cell resolution analysis of complex biological tissues is fundamental to capture cell-
state heterogeneity and distinct cellular signaling patterns that remain obscured with …

Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-
cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual …