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

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

The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug ...

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

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

Adelaide University is leading the international Wheat Spatial Omics Consortium (WSOC) of more than 30 institutions in nine ...

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.

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 ...

A large-scale effort to map epigenetic changes in the aging brain is offering an unprecedented view into how molecular processes evolve over time. By integrating multiple layers of genomic and spatial ...

Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Larotrectinib in Patients With Tumors With NTRK Fusions: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol EAY131-Z1E Advancements in profiling technologies have deepened our ...