The development of single-cell and spatial transcriptomics methods was instrumental in the
conception of the Human Cell Atlas initiative, which aims to generate an integrated map of …

Brain development in humans is achieved through precise spatiotemporal genetic control,
the mechanisms of which remain largely elusive. Recently, integration of technological …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

Molecular characterization of cell types using single-cell transcriptome sequencing is
revolutionizing cell biology and enabling new insights into the physiology of human organs …

Despite no apparent defects in T cell priming and recruitment to tumors, a large subset of T
cell rich tumors fail to respond to immune checkpoint blockade (ICB). We leveraged a …

Tumor evolution is driven by the progressive acquisition of genetic and epigenetic
alterations that enable uncontrolled growth and expansion to neighboring and distal tissues …

Non-small cell lung cancer (NSCLC) is characterized by molecular heterogeneity with
diverse immune cell infiltration patterns, which has been linked to therapy sensitivity and …

Single-cell omics technologies have enabled the creation of comprehensive cell atlases
across tissues and species and delivered key insights into the biological mechanisms …

Most spatial transcriptomics technologies are limited by their resolution, with spot sizes
larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can …

Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …