Results 151 to 160 of about 155,866 (241)

Glutamine Deprivation Triggers Tribbles Homolog 3 Dependent G‐Quadruplex Resolution to Maintain DNA Repair and Tumor Survival

open access: yesAdvanced Science, EarlyView.
Glutamine deprivation triggers transient DNA damage yet activates adaptive repair in hepatocellular carcinoma cells. We identify TRIB3 as a stress‐induced nuclear scaffold that associates with DDX5 and G‐quadruplex DNA atBRCA1 andRAD51AP1 promoters. TRIB3 loss increases G4 accumulation, suppresses HR gene transcription, elevates γ‐H2A.X, and sensitizes
Qiang Ji   +10 more
wiley   +1 more source

Genome Instability Precedes Viral Integration in Human Papillomavirus-Transformed Tonsillar Keratinocytes. [PDF]

open access: yesMol Cancer Res
Chan K   +12 more
europepmc   +1 more source

Evolution of Prime Editing: Enhancing Efficiency and Expanding Capacity

open access: yesAdvanced Science, EarlyView.
Most rare diseases are caused by genetic mutations. Prime editing (PE) has emerged as a versatile tool capable of inducing diverse mutations without generating DNA double‐strand breaks. Despite its significant clinical potential, PE faces limitations in terms of efficiency and scalability.
Jihyeon Yu   +5 more
wiley   +1 more source

Mitochondrial Genome Instability in W303-SK1 Yeast Cytoplasmic Hybrids. [PDF]

open access: yesBiology (Basel)
Epremyan KK   +4 more
europepmc   +1 more source

Synergistic Activation of Immunogenic Cell Death and the cGAS–STING Pathway by Engineered Zinc/Manganese‐Based Metal–Organic Framework Nanoplatforms for Colon Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
A zinc/manganese (Zn/Mn)‐based metal‐organic framework (MOF) loaded with the STING agonist c‐di‐AMP diammonium (denoted AMP@Zn/Mn‐MOF) was developed to synergistically activate the cGAS‐STING pathway and induce immunogenic cell death. This nanoplatform reprograms the immunosuppressive tumor microenvironment, significantly enhancing anti‐PD‐L1 ...
Bingzi Zhu   +15 more
wiley   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

open access: yesAdvanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng   +8 more
wiley   +1 more source

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