Results 141 to 150 of about 153,654 (268)

Genetic Control of Tissue Remodeling by a Non‐Coding SNP in ITGA8 Explains Carotenoid‐Based Color Polymorphism in Marine Mollusks

open access: yesAdvanced Science, EarlyView.
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei   +17 more
wiley   +1 more source

Dual Aptamers‐Based SETDB1 PROTACs as Effective Anti‐Tumor Strategies for Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study establishes dual‐aptamer PROTACs targeting SETDB1 using a SETDB1‐specific aptamer conjugated to AS1411. The designed PROTACs penetrate cells, recruit MDM2 to degrade SETDB1, and inhibit cancer cell proliferation and migration. Remarkably, they also overcome tamoxifen resistance and enhance CD8+ T cell cytotoxicity, suppressing tumor growth ...
Yanxuan Guo   +6 more
wiley   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

open access: yesAdvanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling   +17 more
wiley   +1 more source

Unnatural Amino Acid and Emerging Chemistry Approaches to Map RNA–Protein Interactions

open access: yesAngewandte Chemie, EarlyView.
This review highlights emerging chemistries for mapping RNA–protein interactions, including genetically encoded unnatural amino acids, novel photocrosslinkers, and non‐photoactivatable crosslinking systems. We compare their mechanisms, reactivity and applications, outlining how these next‐generation tools enable higher‐resolution, site‐specific ...
Eryn Lundrigan   +3 more
wiley   +2 more sources

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

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