Results 111 to 120 of about 153,605 (251)

Discovery and Engineering of a Rat Endogenous Retrovirus Reverse Transcriptase for Efficient Prime Editing

open access: yesAdvanced Science, EarlyView.
We screened 558 reverse transcriptases and engineered an optimized rat endogenous retrovirus‐derived variant, enRERV‐RT, via structure‐guided engineering and deep mutational scanning. This enhanced prime editor, based on the engineered RT, outperforms conventional M‐MLV‐RT systems across plant and animal cells, particularly at hard‐to‐edit loci ...
Linsha Ma   +22 more
wiley   +1 more source

A Wireless 3D Magneto‐Mechanical Stimulation Platform Drives In Situ Chondrogenic Commitment of Endogenous MSCs

open access: yesAdvanced Science, EarlyView.
An intracellular magneto‐mechanical platform utilizing MSC‐targeted nanomotors is developed. After intra‐articular delivery, these nanomotors target endogenous BMSCs and are actuated within lysosomes to execute trans‐planar rotational‐bouncing motions under a rotating‐fluctuating 3D magnetic field, generating amplified mechanical stimulation.
Zhenguang Li   +7 more
wiley   +1 more source

Supercritical CO2‐Induced Porous MXene Films for Electromagnetic Interference Shielding and Infrared Stealth

open access: yesAdvanced Science, EarlyView.
The phase transition of supercritical CO2 induces the foaming of dense MXene film without compromise inherent structure of MXene nanosheet. The foamed porous MXene film manifests remarkable EMI shielding and infrared thermal camouflage performances. Moreover, the foaming strategy is broadly adaptable and can be extended to other two‐dimensional films ...
Hui Zhao   +7 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

open access: yesAdvanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao   +9 more
wiley   +1 more source

Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing

open access: yesAdvanced Science, EarlyView.
A novel CDA1Δ‐SpRY architecture fused with HMGN1 and VP64 yields a nearly PAM‐less base editing platform. By focusing cytosine conversion predominantly at position −18, this synergistic complex ensures highly precise targeting. Demonstrating enhanced efficiency across diverse models, including yeast and rice, the platform offers a robust solution for ...
Xi Luo   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy