Results 101 to 110 of about 168,693 (248)
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
CXCR4 functions as a potential cancer stem cell‐associated marker linked to chemoresistance in ovarian cancer, and an inhibitor of CXCR4, AMD3100, can enhance the cytotoxic response to cisplatin. Based on these findings, [68Ga]Ga‐Pentixafor positron emission tomography enables selective visualization of CXCR4‐high ovarian cancer, while AMD3100 combined
Lixia Feng +12 more
wiley +1 more source
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng +7 more
wiley +1 more source
This schematic illustrates a capacitive deionization (CDI) system for the selective extraction of lithium from salt‐lake brine. The system employs a cathode fabricated from the Fe‐THBQ@MoSe2@MXene composite alongside an activated carbon (AC) anode. Upon applied voltage, the cathode demonstrates high efficiency in capturing Li+ ions while effectively ...
Pengze Li +12 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Thanks to the appropriate structure preorganization of an N3O2‐pentadentate planar ligand, 2,6‐bis(2‐hydroxyphenylmethylaminomethyl)pyridine (H2saldamp) exhibits the strongest coordination affinity to UO22+ (log βU = 33.60) compared to ligands developed for uranium harvesting from seawater to date, as well as good separability of UO22+ from other metal
Ryuto Nabata +2 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Science competition-driven teaching optimization for mining engineering. [PDF]
Li X +6 more
europepmc +1 more source

