The field of machine learning is witnessing its golden era as deep learning slowly becomes
the leader in this domain. Deep learning uses multiple layers to represent the abstractions of …

Considerable advances have been made in recent years in understanding the generation
and function of memory T cells. Memory T cells are typically parsed into discreet subsets …

Immune-checkpoint blockade is able to achieve durable responses in a subset of patients;
however, we lack a satisfying comprehension of the underlying mechanisms of anti-CTLA-4 …

Single-cell proteomics by mass spectrometry (SCoPE-MS) is a recently introduced method
to quantify multiplexed single-cell proteomes. While this technique has generated great …

The maintenance of pregnancy relies on finely tuned immune adaptations. We demonstrate
that these adaptations are precisely timed, reflecting an immune clock of pregnancy in …

The granulocyte-macrophage colony-stimulating factor (GM-CSF) was initially classified as a
hematopoietic growth factor. However, unlike its close relatives macrophage CSF (M-CSF) …

Animal models have highlighted the importance of innate lymphoid cells (ILCs) in multiple
immune responses. However, technical limitations have hampered adequate …

Recent technological developments in high‐dimensional flow cytometry and mass cytometry
(CyTOF) have made it possible to detect expression levels of dozens of protein markers in …

Advances in single-cell mass cytometry have increasingly improved highly multidimensional
characterization of immune cell heterogeneity. The immunoassay multiplexing capacity …

The cellular complexity and functional diversity of the human immune system necessitate the
use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as …