Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...

As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...

New research suggests that autoimmune diseases may be driven by DNA mutations in immune cells that remove the natural brakes on the immune system. It reveals a previously hidden role for somatic ...

Type 1 diabetes researchers have made great progress in understanding the disease in the last two decades, even as a cure remains elusive. Now they have something that benefits any scientific effort.

Airway epithelial cells are frontline sentinels that detect, restrict, and orchestrate immune responses to respiratory viruses. Beyond canonical interferon ...

A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...

Using single-cell sequencing and spatial tools, researchers have created the most comprehensive map of the maternal–fetal interface yet.

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream tasks, have transformed natural language processing and multimodal AI. However, ...

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...

A quiet signal inside a tumor may soon guide how surgeons treat early lung cancer. Researchers now report that hidden genetic ...

The advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized oncology. However, a significant proportion of patients ...