Results 131 to 140 of about 386,039 (382)

Kinsenoside‐Loaded Microneedle Accelerates Diabetic Wound Healing by Reprogramming Macrophage Metabolism via Inhibiting IRE1α/XBP1 Signaling Axis

open access: yesAdvanced Science, EarlyView.
Gut metabolite trimethylamine N‐oxide accumulates in the diabetic wound area to amplify macrophage inflammation via enhancing glycolysis activities. Kinsenoside induces macrophage repolarization from M1 to M2 phenotype through inhibiting IRE1α/XBP1 pathway, followed by HIF‐1α‐glycolysis axis repression and mitophagy‐oxidative phosphorylation axis ...
Li Lu   +13 more
wiley   +1 more source

Bionic Nanostructures Create Mechanical Signals to Mediate the Composite Structural Bone Regeneration Through Multi‐System Regulation

open access: yesAdvanced Science, EarlyView.
Inspired by the structural and functional characteristics of bone, bionic nanomaterials combined with nanotechnology can more accurately replicate stem cell niches, enabling the design of bone tissue engineering scaffolds with diverse nanoscale properties to promote stem cell migration, proliferation, and differentiation. This precise control over stem
Yangfan Pei   +11 more
wiley   +1 more source

Loss of STARD7 Triggers Metabolic Reprogramming and Cell Cycle Arrest in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Breast cancer cells undergo metabolic and transcriptomic reprogramming to support aberrant cell proliferation. Their mitochondria rely on the transfer of phosphatidylcholine from the endoplasmic reticulum to their membranes by STARD7, a candidate upregulated in breast cancer, to be functional.
Ewelina Dondajewska   +18 more
wiley   +1 more source

Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning [PDF]

open access: yesarXiv, 2019
The current state of cancer therapeutics has been moving away from one-size-fits-all cytotoxic chemotherapy, and towards a more individualized and specific approach involving the targeting of each tumor's genetic vulnerabilities. Different tumors, even of the same type, may be more reliant on certain cellular pathways more than others.
arxiv  

A Requirement for Cyclin D3–Cyclin-dependent Kinase (cdk)-4 Assembly in the Cyclic Adenosine Monophosphate–dependent Proliferation of Thyrocytes [PDF]

open access: bronze, 1998
Fabienne Depoortere   +8 more
openalex   +1 more source

PP2A Promotes the Symmetric Division of MUC1‐Dominant Cancer Stem‐Like Cells in Small Cell Lung Cancer

open access: yesAdvanced Science, EarlyView.
During the G2/M phase, mucin1 (MUC1) activates protein phosphatase 2A (PP2A), leading to reduced phosphorylation of protein kinase C ζ (PKCζ) and NUMB, which promotes symmetric division and expansion of cancer stem‐like cells (CSLCs), thereby driving tumorigenesis. Combined inhibition of the MUC1–PP2A axis using LB100/GO203 with etoposide restores PKCζ
Shengze Li   +15 more
wiley   +1 more source

Tβ4‐Engineered ADSC Extracellular Vesicles Rescue Cell Senescence Through Separable Microneedle Patches for Diabetic Wound Healing

open access: yesAdvanced Science, EarlyView.
A separable microneedle patch is designed for Tβ4–modified ADSC‐derived extracellular vesicles delivery. The overexpressed Tβ4 released from the microneedles can mitigate cellular senescence and promote wound healing via the PTEN/PI3K/AKT pathway, offering a promising approach for diabetic wound treatment. This bioengineered therapeutic system serve as
Youjun Ding   +7 more
wiley   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection [PDF]

open access: yesarXiv
Phosphorylation site prediction based on kinase-substrate interaction plays a vital role in understanding cellular signaling pathways and disease mechanisms. Computational methods for this task can be categorized into kinase-family-focused and individual kinase-targeted approaches.
arxiv  

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