Results 201 to 210 of about 80,046 (337)
In this study, the expression and function of LCN2 in GC is aimed to investigate and elucidate the mechanisms by which the LCN2‐dependent positive‐feedback loop between GC cells and TAMs drives lymphangiogenesis and lymphatic metastasis. These findings suggest that LCN2 may serve as a potential prognostic biomarker and therapeutic target in GC ...
Zhixin Huang+15 more
wiley +1 more source
Erratum: Control of protein degradation by E3 ubiquitin ligases in Drosophila eye development [PDF]
openalex +1 more source
This study demonstrates that SenExo‐cCCT2 enables targeted delivery of cCCT2 to pancreatic cancer cells, where it disrupts IPO13‐mediated nuclear translocation of UBC9, impairing SUMOylation‐dependent DNA damage repair and inducing senescence. Senescent tumor cells secrete CXCL10 to recruit CD8⁺ T‐cells while upregulating PD‐L1.
Shuncang Zhu+18 more
wiley +1 more source
UBR5: A New Player in Protein Quality Control for Skeletal Muscle Growth and Remodeling. [PDF]
Hughes DC, Bodine SC.
europepmc +1 more source
Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases. [PDF]
Boomsma W+4 more
europepmc +1 more source
The Arabidopsis Mutant sleepy1gar2-1 Protein Promotes Plant Growth by Increasing the Affinity of the SCFSLY1 E3 Ubiquitin Ligase for DELLA Protein Substrates[W] [PDF]
Xiangdong Fu+5 more
openalex +1 more source
A cost‐effective strategy is developed analyzing sub‐threshold GWAS loci (5 × 10−8 < P ≤ 10−6), identifying 180 risk loci and 304 high‐confidence genes through combined GWAS/subGWAS analysis. This approach reveals dendrite development and morphogenesis (DDM) as a novel SCZ pathway.
Rui Chen+15 more
wiley +1 more source
Targeting the Ubiquitin-Proteasome System for Cancer. [PDF]
Liu Z, Lai J, Ma Z, Pan J, Yang C, Fu R.
europepmc +1 more source
Downregulation of Major Histocompatibility Complex Class I by Human Ubiquitin Ligases Related to Viral Immune Evasion Proteins [PDF]
Eric Bartee+4 more
openalex +1 more source
Biomolecular Interaction Prediction: The Era of AI
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley +1 more source