Results 191 to 200 of about 479,582 (349)

Gut–Metabolome–Proteome Interactions in Age‐Related Hearing Loss: Insights from Fecal Microbiota Transplantation and Multi‐Omics Analyses

open access: yesAdvanced Science, EarlyView.
Germ‐free (GF) mice receiving fecal microbiota transplantation (FMT) reveal microbiota‐dependent effects on auditory aging. Integrated metagenomic, metabolomic and proteomic profiling maps gut–inner ear network and highlights 5‐hydroxytryptophan (5‐HTP) as a microbiota‐linked metabolic hub in age‐related hearing loss (ARHL).
Ting Yang   +12 more
wiley   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

OCIAD2 Stabilizes Integrin β1 Signaling Through SNX17‐Mediated Endosomal Recycling to Lipid Rafts and Modulates Cisplatin Response in HNSCC

open access: yesAdvanced Science, EarlyView.
This study identifies OCIAD2 as a critical regulator of cisplatin resistance in HNSCC. Mechanistically, OCIAD2 stabilizes integrin β1 through a direct physical interaction and facilitates its SNX17‐dependent endosomal recycling to lipid raft microdomains. Targeting OCIAD2 disrupts integrin β1 trafficking and significantly enhances cisplatin sensitivity,
Li Cui   +9 more
wiley   +1 more source

Paradox and context shift. [PDF]

open access: yesPhilos Stud, 2023
Mankowitz P.
europepmc   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

open access: yesAdvanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen   +22 more
wiley   +1 more source

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