Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Psychometric Validation of Culturally Adapted Tool for Measuring Attitudes Toward Domestic Violence: Bridging Social Norms and Community Interventions. [PDF]
Selim A +6 more
europepmc +1 more source
SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1
Cells expressing SIRT4 (H161Y), a catalytically inactive mutant of the sirtuin SIRT4, fail to upregulate LC3B‐II and exhibit a reduced autophagic flux under stress conditions. Interestingly, SIRT4(H161Y) promotes phosphorylation of ULK1 at S638 and S758 that are associated with inhibition of autophagy initiation.
Isabell Lehmkuhl +13 more
wiley +1 more source
Social Support and Its Influencing Factors Among Perimenopausal Women in Tianjin, China: A Community-Based Study. [PDF]
Yuan S, Ren J.
europepmc +1 more source
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid +3 more
wiley +1 more source
The role of meaningful work and workplace attachment styles in predicting entrepreneurial well-being: insights from a structured sales network. [PDF]
Koša V, Lisá E.
europepmc +1 more source
Predictors of Dental Misconceptions Among Taif Population, Saudi Arabia. [PDF]
Al Harthi S.
europepmc +1 more source
Machine learning-driven model for predicting knowledge, attitudes, and practices regarding medication safety among residents in Hubei, China. [PDF]
Mei C +6 more
europepmc +1 more source

