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 …

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 …

Proteoforms, which arise from post-translational modifications, genetic polymorphisms and
RNA splice variants, play a pivotal role as drivers in biology. Understanding proteoforms is …

Single-cell proteomics sequencing technology sheds light on protein–protein interactions,
posttranslational modifications and proteoform dynamics in the cell. However, the …

Multiplexed and label-free mass spectrometry–based approaches with single-cell resolution
have attributed surprising heterogeneity to presumed homogenous cell populations. Even …

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 …

The shotgun proteomic analysis is currently the most promising single-cell protein
sequencing technology, however its identification level of~ 1000 proteins per cell is still …

Single-cell methodologies and technologies have started a revolution in biology which until
recently has primarily been limited to deep sequencing and imaging modalities. With the …

The field of single-cell omics is rapidly progressing. Although DNA and RNA sequencing-
based methods have dominated the field to date, global proteome profiling has also entered …