Results 41 to 50 of about 83,835 (249)
Mechanism of chemical carcinogenesis [PDF]
526-532The mechanism of chemical carcinogenesis induced by different types of compounds such as polycylic aromatics, aromatic amines, tricycloquinazolines, N-nitrosoamines, and halogen compounds, has been discussed.
Gupta, S P
core
Discovery of a Potent Fluorescence Polarization Probe for Identifying USP1 Allosteric Inhibitors
This study presents the first ubiquitin‐specific protease 1 (USP1) allosteric fluoroprobe and fluorescence polarization assay, enabling the differentiation of allosteric and catalytic site inhibitors. Further, a novel class of tetrahydroisoquinoline‐based USP1 inhibitors is designed, with compound 14a (USP1 IC50 = 29.9 nM) showing strong selectivity ...
Jiawei Cheng +12 more
wiley +1 more source
This review outlines bottom‐up and biomimetic fabrication strategies of quantum dots, and highlights their emerging applications in biosensing, multimodal bioimaging, and intelligent cancer theranostics. It further discusses key translational barriers and future perspectives for advancing QD‐based nanomedicine toward clinical implementation.
Jie Ju +5 more
wiley +1 more source
Supplementary Figure 1 from A DNA Vaccine against ERBB2 Impairs Chemical Carcinogenesis in Random-Bred ...
Federica Cavallo (380294) +11 more
core +1 more source
A novel dual‐atom manganese MRI contrast agent (Mn‐BN) with a unique asymmetric coordination geometry provided a promising platform for sensitive and specific tumor imaging. In mice model, Mn‐BN nanoparticles precisely functioned as both a primary tumor‐specific enhancer in subcutaneous models and a hepatocyte‐specific agent in liver metastases models ...
Ding Yang +13 more
wiley +1 more source
Cutaneous Chemical Carcinogenesis: Past, Present, And Future
Skin tumors chemically induced in mice have provided an important experimental model for studying carcinogenesis and for bioassaying carcinogenic agents.
Hennings, Henry +2 more
core +1 more source
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
Supplementary Figure 2 from A DNA Vaccine against ERBB2 Impairs Chemical Carcinogenesis in Random-Bred ...
Federica Cavallo (380294) +11 more
core +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Supplementary Table 1 from A DNA Vaccine against ERBB2 Impairs Chemical Carcinogenesis in Random-Bred ...
Federica Cavallo (380294) +11 more
core +1 more source

