Results 71 to 80 of about 19,225 (255)

Neuron‐Derived MIF Engages VCAM1 to Fuel a Self‐Amplifying CXCL8 Loop That Drives Perineural Invasion and Metastasis in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li   +13 more
wiley   +1 more source

Lactate‐Driven Restriction of Mitochondrial Permeability Transition Promotes Resistance to Chemo‐Immunotherapy by Suppressing Tumor PANoptosis

open access: yesAdvanced Science, EarlyView.
Tumor‐derived lactate establishes a metabolic lock that drives chemo‐immunotherapy resistance by suppressing PANoptosis. Mechanistically, KAT8 lactylates the mitochondrial translocator ANT2, which recruits PGAM5 to dephosphorylate CypD. This cascade restricts mitochondrial permeability transition pore opening, preventing pro‐inflammatory mtDNA leakage.
Sen Zhong   +20 more
wiley   +1 more source

Substrate in the emergence and initial growth of seedlings of Caesalpinia pulcherrima

open access: yesCiência Rural
: Caesalpinia pulcherrima is an exotic species belongs to the Fabaceae family commonly known as flamboyant-mirim, and widely used for urban forestry. This study aimed to evaluate the effect of different substrates on the emergence and early seedlings ...
Magnólia Martins Alves   +3 more
doaj   +1 more source

Explosivity Properties of Dusts from Torrefied Biomass Pellets

open access: yesChemical Engineering Transactions, 2016
A modified Hartmann tube apparatus was used to study the explosivity properties of dusts from torrefied biomass pellets. The sensitivity of the dusts to explode was assessed by determining the minimum ignition energies (MIE) and the minimum explosible ...
Pedro Abelha   +2 more
doaj   +1 more source

Longitudinal Single‐Axon‐Resolution Imaging of Peripheral Nerve Injury Response in Mice Using an Optical Window Implant

open access: yesAdvanced Science, EarlyView.
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky   +15 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

Occupational exposure to wood dust and formaldehyde and risk of nasal, nasopharyngeal, and lung cancer among Finnish men

open access: yesCancer Management and Research, 2012
Sie Sie Siew,1,2 Timo Kauppinen,1 Pentti Kyyrönen,3 Pirjo Heikkilä,1 Eero Pukkala2,31Finnish Institute of Occupational Health, Helsinki, Finland; 2School of Health Sciences, University of Tampere, Tampere, Finland; 3Finnish Cancer ...
Siew SS   +3 more
doaj  

PAPAN GYPSUM DARI SERBUK KAYU DAN SENYAWA BOR TERHADAP SIFAT MEKANIK DAN UJI BAKAR

open access: yesJurnal Riset Industri Hasil Hutan, 2012
The using saw dust Lua, Kambang, Tarap wood and addition of boron solution on Modulus of Rupture (MOR), Modulus of Elasticity (MOE) and the fire  resistant gypsum boar.
Djoko Purwanto
doaj   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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