Results 191 to 200 of about 152,539 (295)

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
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

Study protocol for exploring diabetes numeracy and health literacy across Europe (EDUCATE): A multicentre cross-sectional study. [PDF]

open access: yesDiabet Med
den Brok EJ   +21 more
europepmc   +1 more source

Selectivity Filter Dynamics Define Ion Conductance and Selectivity Differences in CNG and HCN Channels

open access: yesAdvanced Science, EarlyView.
Cyclic nucleotide‐gated (CNG) and hyperpolarization‐activated cyclic nucleotide‐gated (HCN) channels share substantial sequence and structural similarity but differ markedly in ion conductance and K+ selectivity. Microsecond‐scale atomistic MD simulations qualitatively reproduced the conductance differences observed in single‐channel recordings and ...
Haoran Liu   +3 more
wiley   +1 more source

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

open access: yesAdvanced Science, EarlyView.
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans   +8 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

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