Results 221 to 230 of about 306,960 (301)

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

open access: yesAdvanced Science, EarlyView.
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

Phosphatidic Acid‐TRIM59‐Olig2 Signaling Couples Metabolic Dysfunction to Myelination Failure in PWMI

open access: yesAdvanced Science, EarlyView.
PA accumulates after hypoxic‐ischemic injury and stabilizes the E3 ligase TRIM59 in OPCs. Stabilized TRIM59 enhances ubiquitination and degradation of Olig2, blocking differentiation and causing hypomyelination in PWMI. Modulating PA synthesis restores Olig2 levels, improves myelination, and ameliorates behavioral deficits, defining a metabolically ...
Xinyu Li   +8 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

An unfavorable biologic profile associated with decreased overall survival and cancer-specific survival in non-metastatic breast cancer: A latent class analysis. [PDF]

open access: yesTransl Oncol
Falandry C   +9 more
europepmc   +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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