In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

Large pretrained models have become foundation models leading to breakthroughs in
natural language processing and related fields. Develo** foundation models for …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …

Abstract PD-1 blockade unleashes CD8 T cells, including those specific for mutation-
associated neoantigens (MANA), but factors in the tumour microenvironment can inhibit …

Persistent inflammation driven by cytokines such as type-one interferon (IFN-I) can cause
immunosuppression. We show that administration of the Janus kinase 1 (JAK1) inhibitor …

Metabolism is a major regulator of immune cell function, but it remains difficult to study the
metabolic status of individual cells. Here, we present Compass, an algorithm to characterize …

The development of single-cell multi-omics technology has greatly enhanced our
understanding of biology, and in parallel, numerous algorithms have been proposed to …

A key challenge in analyzing single cell RNA-sequencing data is the large number of false
zeros, where genes actually expressed in a given cell are incorrectly measured as …

Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …