NLS
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Related Articles from SNS
Active Nuclear Shuttling Enables Efficient Virus-Free CAR Gene Integration Using Ready-to-Use Lipid Nanoparticles
Non-viral engineering of chimeric antigen receptor T (CAR -T) cells is highly desirable to overcome the cost, safety, and scalability limitations associated with viral vectors and electroporation. However, efficient nuclear delivery and stable genomic integration of DNA in primary human T cells remain major challenges. Here, we established a virus-free CAR-T manufacturing platform using lipid nanoparticles (LNPs) combined with a nuclear localization signal (NLS) shuttle strategy.
Palmitoylated importin α recruits PKCε to the plasma membrane to drive breast cancer cell motility
Importin is a nuclear transport factor which canonically has a role in binding and shuttling NLS-containing proteins from the cytoplasm into the nucleus. Recently, it has been shown that when palmitoylated by specific palmitoyl acyl transferases, importin can partition to the plasma membrane where its roles remain widely unknown. Patients with breast cancer displaying increased importin expression have advanced tumor size, poor tumor differentiation, and reduced overall and recurrence-free...
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
arXiv:2606.06523v1 Announce Type: new Abstract: Equipping Large Language Models (LLMs) to execute reliable multi-step workflows has become a central challenge in artificial intelligence. Despite recent advances in LLMs' agentic capabilities, most agent systems still lack formal methods for specifying, verifying, and debugging their workflow and execution trajectories. This challenge mirrors a long-standing problem in mathematics, where the ambiguity of natural languages (NLs) motivates the...
Architecture Shapes Transfer Specificity in Implicit Neural Representations
arXiv:2606.06827v1 Announce Type: new Abstract: Transfer in coordinate networks is often measured by warm-start gain, but whether that gain reflects source-specific structure or generic weight reuse is less clear. We study this question across three implicit neural representation (INR) families, SIREN, ReLU MLPs, and Fourier-feature MLPs, using controlled analytic tests, a 2D lid-driven-cavity Navier--Stokes benchmark, and 1D PDE reference-solution suites for heat, viscous Burgers, and...