Latest SenNet Consortium Papers from PubMed

Lysosomes and lysosomal dysfunction in ageing biology

Nat Cell Biol. 2026 Jul 15. doi: 10.1038/s41556-026-02007-6. Online ahead of print.

ABSTRACT

Lysosomes are essential regulators of cellular homeostasis. Emerging evidence positions lysosomes as both vulnerable targets and active drivers of ageing biology. During ageing, lysosomes exhibit impaired biogenesis, defective acidification, reduced hydrolytic activity and compromised membrane integrity. These defects impair the clearance of damaged organelles and macromolecules and promote cellular stress responses, inflammageing and senescence, causing age-dependent functional decline across tissues. Lysosomal dysfunction has been increasingly linked to age-related diseases, including neurodegeneration, cardiometabolic disorders and increased susceptibility to infection, among others. Thus, lysosomal dysfunction is a hallmark of ageing that drives age-related pathology. Here we review recent progress in lysosomal biogenesis and quality control, discuss how lysosomes intersect with fundamental ageing mechanisms and evaluate emerging therapeutic strategies that target lysosomes to promote healthy ageing and potentially ameliorate age-associated pathologies.

PMID:42457930 | DOI:10.1038/s41556-026-02007-6

Cellular hallmarks and aging clock of the human lung parenchyma

Nat Commun. 2026 Jul 15. doi: 10.1038/s41467-026-75427-5. Online ahead of print.

ABSTRACT

Aging affects lung function, predisposing older adults to respiratory diseases; however, the cellular and molecular mechanisms of lung aging are not fully understood. Leveraging single-cell and spatial transcriptomics data from 184 and 70 lung parenchyma samples, respectively, we present an analytical platform to dissect the cell composition, gene expression modules, and regulatory changes linked to multiple hallmarks of lung aging. Our findings show cell type-specific age-association of senescence markers and a decline in alveolar cell proliferation, autocrine WNT signaling, and stemness indicators with advancing age. Analysis of myeloid cells reveals a global reduction in macrophage subsets and a surge in mitochondrial dysfunction and inflammatory signaling. In contrast, lung parenchyma T cells expand with age and exhibit heightened interferon gamma expression, cytotoxic activity, and exhaustion in older lung and blood samples, indicative of age-related immune dysfunction. Cell interaction and spatial analysis demonstrate aberrant myeloid-T cell cross-talk, leading to an increase in T cell chemotaxis and activation. Lastly, we use machine learning to predict lung biological age and identify putative biomarkers of lung aging and disease risk.

PMID:42457688 | DOI:10.1038/s41467-026-75427-5

Spatial mapping and senolytic targeting of senescent and disease-associated microglia in aged mouse brain white matter

Nat Aging. 2026 Jul;6(7):1417-1436. doi: 10.1038/s43587-026-01154-7. Epub 2026 Jul 13.

ABSTRACT

Brain white matter undergoes structural and functional alterations linked to late-life cognitive decline, but the cellular and molecular basis of its selective vulnerability remains incompletely defined. Here, in naturally aged mice, we demonstrate that senescent and disease-associated microglia (DAM) phenotypes converge in hippocampal-adjacent white matter, particularly in the fimbria. Using regional gene expression profiling, immunolabeling, GeoMx digital spatial profiling and CosMx spatial molecular imaging, we identify an aged brain-exclusive microglial population concentrated in white matter that expresses DAM genes together with a 'SenBrain' senescence gene signature, including galectin-3 (GAL3/Lgals3). Single-cell spatial trajectory analyses suggest that multiple cell fate transitions may give rise to this aged, proinflammatory, senescent- and DAM-linked state. Pharmacogenetic or pharmacological senotherapeutic interventions reduced white matter GAL3+ DAM abundance and restored a more youthful microglial organization in aged fimbria. These findings identify a senescence- and DAM-enriched microglial state as a prominent and partially reversible feature of aged brain white matter.

PMID:42443609 | DOI:10.1038/s43587-026-01154-7

Matrix Stiffness Induces Endothelial Network Senescence

Adv Sci (Weinh). 2026 Jul 2:e76304. doi: 10.1002/advs.76304. Online ahead of print.

ABSTRACT

Identifying the drivers of cellular senescence that contribute to the decline in vascular function with age and disease is critical for developing restorative interventions. Here, we investigated how increased mechanical stress from extracellular matrix (ECM) stiffening shapes endothelial cell (EC) senescence. We developed a 3D human in vitro model that decouples mechanical stress from inflammatory or biochemical signals, enabling the study of senescence responses to tissue stiffening alone. We found that matrix stiffening induces an EC senescence phenotype with elevated p16/p21 and an immunomodulatory senescence-associated secretory phenotype (SASP), in the absence of inflammatory signals. This mechano-induced senescence activates Notch signaling, and treatment with an FDA-approved γ-secretase inhibitor attenuates stiffness-induced senescence. Analysis of fibrotic capsule tissue from patients with synthetic breast implants, a model of localized, mechanically driven fibrosis, validated an increase in p16+Notch1+ endothelial populations. Complementary single-cell RNA sequencing data further confirmed enrichment of Notch- and SASP-related gene programs. Our work provides a human-relevant platform for studying targetable stages of endothelial mechanoaging and identifies potential therapeutic targets associated with stiffness-induced endothelial senescence for mechanically remodeled tissues.

PMID:42389866 | PMC:PMC13337105 | DOI:10.1002/advs.76304

Large-scale, spatially resolved panoramic CRISPR screening in native tissue environments using Perturb-DBiT

Nat Biotechnol. 2026 Jun 11. doi: 10.1038/s41587-026-03127-y. Online ahead of print.

ABSTRACT

Spatially resolved CRISPR screening in vivo has been limited to small perturbation panels and subsets of protein-coding RNAs. We present Perturb-DBiT, a method for co-sequencing of spatial total RNA whole transcriptomes and single guide RNAs (sgRNAs) on the same tissue section in situ. In a human cancer metastatic colonization model, we applied large (80,000+) sgRNA panels across tumor colonies in multiple consecutive tissue sections alongside their corresponding total RNA transcriptomes. We linked perturbations affecting long noncoding RNA covariation, microRNA-mRNA interactions and distinct amino acid-specific tRNA alterations to tumor migration and growth. By integrating transcriptional pseudotime trajectories, we further observed the impact of perturbations on clonal dynamics and cooperation. In an immune-competent syngeneic mouse model, investigation of the tumor immune microenvironment indicated distinct, synergistic effects on immune infiltration and suppression. Perturb-DBiT provides a spatially resolved comprehensive view of perturbation responses in complex tissues, including small and large RNA regulation, tumor proliferation, migration, metastasis and immune interactions.

PMID:42277225 | DOI:10.1038/s41587-026-03127-y