Últimas 48 h · PubMed · Europe PMC · bioRxiv · incluye Aging-US y Rejuvenation Research vía PubMed
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bioRxiv (preprint)
· 2026-07-14 · biorxiv
· doi:10.64898/2026.07.10.737740
Belhac, V.; Stolzing, A.; Martin, N.
Proliferating cells can enter an irreversible state of cell-cycle arrest known as cellular senescence. The accumulation of senescent cells contributes to organismal ageing and age-related pathologies. Consequently, therapeutic strategies have emerged to selectively eliminate senescent cells (senolytics). Our previous work suggested that senescent mouse myoblasts are more susceptible to reductive …
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bioRxiv (preprint)
· 2026-07-14 · biorxiv
· doi:10.64898/2026.07.12.738086
Kozik, K.; Razali, N.; Kono, K.
Cellular senescence is a stable cell cycle arrest characterized by extensive metabolic remodeling and a proinflammatory secretome known as senescence-associated secretory phenotype (SASP). While transient SASP supports tissue repair and wound healing, its persistent activation drives chronic inflammation and age-related pathology. Despite the complex regulation of SASP, the contribution of vesicl…
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bioRxiv (preprint)
· 2026-07-14 · biorxiv
· doi:10.64898/2026.07.12.738053
Day, J. H.; Farrell, J. D.; Yang, D.; Neira, F. N.; Allen, E. A.; Byrne, A. M.; Leksa, N. C.; Klinger, K. W.; de Nola, G.; Al-Jazrawe, M.; Boyer, L. A.
Quantitative image analysis of subcellular organization requires sufficient spatial resolution to resolve individual organelles and sample size to capture heterogeneity both within cells and between cells. Existing imaging approaches often force a tradeoff between spatial resolution and throughput, limiting the ability to measure organelle-level phenotypes across cell populations. Here, we establ…
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bioRxiv (preprint)
· 2026-07-14 · biorxiv
· doi:10.64898/2026.07.13.738204
Hendriks, T. F. E.; Eijkel, G. B.; Broen, M. P. G.; Hoeben, A.; De Vleeschouwer, S.; Heeren, R. M. A.; Cuypers, E.
Glioblastoma is characterized by spatial heterogeneity, with tumor-core and invasive-edge regions differing in cellular composition, transcriptional state, and metabolic context. Spatial transcriptomics has improved understanding of glioblastoma tissue organization. However, cellular transcriptional programs and metabolic interpretation remain poorly resolved. Here, single-cell matrix-assisted la…
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bioRxiv (preprint)
· 2026-07-14 · biorxiv
· doi:10.64898/2026.07.13.738302
Kirkland, N. J.; Yang, Y.; Castro, M. A.; Munoz-Canoves, P.; Levine, Z. A.
We present targeted ATAC-see (tATAC-see), a visual genomics assay for site-specific chromatin profiling. By integrating the in situ visualization of ATAC-see with antibody-tethered tagmentation, tATAC-see captures chromatin states at defined protein-occupied domains with the simplicity of standard immunofluorescence. Modulating the spatial interaction radius of Tn5 via salt titration enables exte…
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JPRAS open
· 2026 Sep · pubmed
· doi:10.1016/j.jpra.2026.05.041
Bohórquez JMC, Wan J, Wong IKJ, Green JB
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Rejuvenation research
· 2026 Jun 8 · pubmed
· doi:10.1177/15491684261449703
Devi R, Shukla D, Kumar V, Upadhayay S
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Aging
· 2026 Jun 26 · pubmed
· doi:10.18632/aging.206392
Menard R, Madelaine R
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Rejuvenation research
· 2026 Jun 17 · pubmed
· doi:10.1177/15491684261462406
Zhang Y, Gao Y, Luo A, Liang A
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Rejuvenation research
· 2026 Jun 17 · pubmed
· doi:10.1177/15491684261462413
Chan AHY, Beyene K, Lai B, Kim S
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Rejuvenation research
· 2026 Jul 9 · pubmed
· doi:10.1177/15491684261460820
Hao Z, Meng T, Li S, Bu Y
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Aging
· 2026 Jul 8 · pubmed
· doi:10.18632/aging.206404
Chang WT, Shih JY, Lin YW, Huang TL
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Aging
· 2026 Jul 8 · pubmed
· doi:10.18632/aging.206398
Lorente ABL, Vazquez S, Iwasaki K, Adebayo A
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Zoological research
· 2026 Jul 18 · pubmed
· doi:10.24272/j.issn.2095-8137.2025.356
Wang D, Zheng HX, Chen JY, Cheng MD
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BMC pulmonary medicine
· 2026 Jul 16 · pubmed
· doi:10.1186/s12890-026-04496-5
Aliyev V, Guliyev M, Fidan MC, Birsin Z