Research Radar — 2026-04-29
Biomedical discoveries
Biomedicine
Unbiased niche labeling maps immune-excluded niche in bone metastasis
Cell Published 2026-04-27 research article DOI:
bone metastasis immune exclusion tumor microenvironment tumor-associated macrophages spatial niche mapping
Summary: An unbiased niche-labeling method, SAMENT, maps cellular and molecular features of metastatic niches and highlights the role of ERα⁺ niche macrophages in preventing T cell infiltration, thereby promoting bone metastasis.
Why it matters: Bone metastasis is notoriously resistant to immunotherapy. Identifying the specific macrophage subset (ERα⁺) that enforces immune exclusion provides a concrete mechanistic target for combination strategies aimed at converting cold bone metastases to immune-infiltrated.
Why for Yiru: Directly maps to tumor microenvironment, macrophage biology, T cell exclusion, and translational cancer immunotherapy — with a spatial niche methodology that complements spatial omics interests.
ErbB family receptor dimerization dynamics and dysregulation via long-term single-molecule imaging
Cell Published 2026-04-27 research article DOI:
receptor signaling single-molecule imaging oncogenic mutations HER2 HER3 ErbB network
Summary: Ma et al. developed long-term single-particle tracking of ErbB family receptors in living cells using upconverting nanoparticles. They discovered constitutive HER2 and HER3 homodimerization and showed how oncogenic mutations and ligand stimulation affect dimerization dynamics, offering new insights into the mechanisms of oncogenic signaling and the ErbB receptor interaction network.
Why it matters: ErbB/HER family signaling drives many cancers, yet the dynamic dimerization behavior of these receptors in living cells has been poorly understood. Single-molecule resolution of constitutive dimerization and mutation-driven dysregulation refines the mechanistic model of oncogenic signaling and could inform therapeutic design.
Why for Yiru: Relevant to cancer biology and oncogenic signaling, with a cutting-edge live-cell single-molecule methodology angle. The receptor network systems-view resonates with computational modeling interests.