Results 141 to 150 of about 165,865 (302)

Harnessing MDM2‐Mediated Targeted Degradation of Transcriptional and Epigenetic Machinery to Disrupt Oncogenic Addictions in Pediatric Sarcoma

open access: yesAdvanced Science, EarlyView.
MDM2 dependency in pediatric sarcomas is driven by a novel p53‐independent oncogenic cistrome alongside canonical p53 pathway suppression. This study introduces MDM2‐recruiting transcriptional and epigenetic machinery degraders (MDM2‐TEMADs) as a novel precision oncology modality.
Jiawei Zhou   +21 more
wiley   +1 more source

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

open access: yesAdvanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li   +4 more
wiley   +1 more source

Oncogenes Induce and Activate Endogenous p73 Protein

open access: yes, 2001
The identification of upstream pathways that signal to TP73 is crucial for understanding the biological role of this gene. Since some evidence suggests thatTP73 might play a role in tumorigenesis, we asked whether oncogenes can induce and activate ...
Moll, Ute M   +3 more
core   +1 more source

FUCA2 Sustains AKT Signaling and Suppresses Senescence by Antagonizing FUT3‐Mediated ErbB3 Fucosylation in Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
ABSTRACT While targeted therapies have improved outcomes in lung adenocarcinoma (LUAD), many patients still lack targetable mutations. Here, we identified alpha‐L‐fucosidase 2 (FUCA2) as a crucial driver of LUAD by preventing cellular senescence. Mechanistically, through the restriction of fucosyltransferase 3 (FUT3)‐mediated α‐1,3‐fucosylation of ...
Lu Chen   +18 more
wiley   +1 more source

Ras oncogenes and their downstream targets

open access: yes, 2007
RAS proteins are small GTPases, which serve as master regulators of a myriad of signaling cascades involved in highly diverse cellular processes. RAS oncogenes have been originally discovered as retroviral oncogenes, and ever since constitutively ...
Ralf Schreck   +7 more
core   +1 more source

Spontaneous Non‐Catalyzed Molecular Reactions and Interactions in the Human Body: Biomedical Implications

open access: yesAdvanced Science, EarlyView.
ABSTRACT The human body functions as a natural reactor for a vast network of chemical and biological reactions and physical interactions among small molecules, proteins, cells, and numerous other components. These reactions/interactions are essential for maintaining normal physiological functions.
Yuhao Cai, Chao Zhao
wiley   +1 more source

Editorial: Reviews in cancer genetics

open access: yesFrontiers in Oncology, 2023
Zhanjun Guo   +2 more
doaj   +1 more source

Boosting Sensory Nerve‐to‐Bone Interactions Enhances Hedgehog Mediated Calvarial Bone Repair

open access: yesAdvanced Science, EarlyView.
Boosting sensory nerve activity via TrkA agonism strongly accelerates calvarial bone repair in adult mice. Furthermore, single‐cell RNA sequencing and neuron–bone interactome analyses identify these sensory neurons as a direct neural source of Hedgehog pathway ligands. Consequently, these ligands drive osteoblast differentiation of skeletal progenitors,
Zhao Li   +9 more
wiley   +1 more source

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

open access: yesAdvanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang   +6 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

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