Profiling protein expression at single‐cell resolution is essential for fundamental biological
research (such as cell differentiation and tumor microenvironmental examination) and …

Single‐cell technologies that can quantify features of individual cells within a tumor are
critical for treatment strategies aiming to target cancer cells while sparing or activating …

Datasets are mathematical objects (eg, point clouds, matrices, graphs, images,
fields/functions) that have shape. This shape encodes important knowledge about the …

A primary hypothesis that drives scientific and engineering studies is that data has structure.
The dominant paradigms for describing such structure are statistics (eg, moments …

Effective T cell responses entail the coproduction of IFN-γ, TNF-α, and IL-2. Cytokine
production is determined by transcriptional and posttranscriptional events. However …

Mass cytometry uniquely enables high‐dimensional single‐cell analysis of complex
populations. This recently developed technology is based on inductively coupled time‐of …

The systematic modulation of mRNA and proteins governs the complicated and intermingled
biological functions of our cells. Traditionally, transcriptomic technologies such as DNA …

Glioblastoma (GBM) stem-like cells (GSCs) represent the most undifferentiated state of
malignant cells with distinct biological characteristics. The fraction of these cells within a glial …

Single-cell protein analysis has emerged as a powerful tool for understanding cellular
heterogeneity and deciphering the complex mechanisms governing cellular function and …

ABSTRACT T cells produce a wide variety of effector molecules in response to infections,
such as cytokines, chemokines, granzymes, and perforins. Because different stimuli promote …