Results 201 to 210 of about 83,219 (270)

PARPi Combining Nanoparticle LIN28B siRNA for the Management of Malignant Ascites

open access: yesAdvanced Science, EarlyView.
This study demonstrates that co‐inhibition of LIN28B and PARP using siLin28b/DSSP@lip‐PEG‐FA nanoparticles in combination with the PARP inhibitor BMN673 effectively suppresses the accumulation of malignant ascites associated with advanced cancers.
Yan Fang   +13 more
wiley   +1 more source

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance

open access: yesAdvanced Science, EarlyView.
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar   +7 more
wiley   +1 more source

A dsRNA Viral Transcriptional Regulator Evades Innate Immunity by Hijacking Host CoTranscription Factor DHX9

open access: yesAdvanced Science, EarlyView.
This study identifies a new viral mechanism by a viral protein σ3 that functions as a vTR to suppress NF‐κB gene expression via its direct interaction with the host helicase DHX9. Through their interaction, σ3 not only impairs the initial recruitment of Pol II but also affects Pol II pause‐release and ultimately suppresses NF‐κB gene expression ...
Xueyang Pang   +12 more
wiley   +1 more source

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

open access: yesAdvanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du   +5 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

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