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 …

Proteomics plays a vital role in biomedical research in the post-genomic era. With the
technological revolution and emerging computational and statistic models, proteomic …

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 …

Current mass spectrometry methods enable high-throughput proteomics of large sample
amounts, but proteomics of low sample amounts remains limited in depth and throughput. To …

Major aims of single-cell proteomics include increasing the consistency, sensitivity and
depth of protein quantification, especially for proteins and modifications of biological interest …

Mammalian cells have about 30,000 times as many protein molecules as mRNA molecules,
which has major implications in the development of proteomics technologies. We discuss …

Cancer driver events refer to key genetic aberrations that drive oncogenesis; however, their
exact molecular mechanisms remain insufficiently understood. Here, our multi-omics pan …

Mass spectrometry-based biomolecular analyses have become permanent fixtures of
academic, industrial, and clinical research settings. The rise in utilization of mass …

Background Many biological processes, such as cell division cycle and drug resistance, are
reflected in protein covariation across single cells. This covariation can be quantified and …