Publications by authors named "S Y Liang"

The excessive cytokine release and limited persistence represent major challenges for chimeric antigen receptor T (CAR-T) cell therapy in diverse tumors. Conventional CARs employ an intracellular domain (ICD) from the ζ subunit of CD3 as a signaling module, and it is largely unknown how alternative CD3 chains potentially contribute to CAR design. Here, we obtained a series of CAR-T cells against HER2 and mesothelin using a domain comprising a single immunoreceptor tyrosine-based activation motif from different CD3 subunits as the ICD of CARs.

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Cyclin-dependent kinase 9 (CDK9) plays a pivotal role in promoting oncogenic transcriptional pathways, significantly contributing to the development and progression of cancer. Given the unique biostability of d-amino acid, the development of d-amino acid-containing peptides (DAACPs) is a promising strategy for cancer treatment. Currently, no DAACPs inhibitor targeting CDK9-cyclin T1 have been reported.

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Background: Lupus nephritis (LN) is one of the most common and severe complications of systemic lupus erythematosus (SLE). Multitarget therapy (MT) achieves a 20% higher complete remission (CR) rate compared to conventional therapy in LN management. Intrigued by its excellent clinical efficacy, we aimed to develop a single-agent therapy with comparable efficacy to MT, offering a simplified treatment regimen.

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Ornithine transcarbamylase deficiency (OTCD) is the most common urea cycle disorder, characterized by hyperammonemia and accompanied by a high unmet patient need. mRNA therapies have been shown to be efficacious in hypomorphic Sparse-fur abnormal skin and hair (Spf-ash) mice, a model of late-onset disease. However, studying the efficacy of ornithine transcarbamylase (OTC) mRNA therapy in traditional knockout mice, a model for severe early-onset OTCD, is hampered by the rapid lethality of the model, and poor lipid nanoparticle (LNP) uptake into neonatal mouse liver.

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To achieve efficient size tuning of printed microstructures on insulating substrates, an integrated process parameter intelligent optimization design framework for alternating current pulse modulation electrohydrodynamic (AC-EHD) printing is proposed for the first time. The framework is comprised of two stages: the construction of a prediction model and the acquisition of process parameters. The first stage employs the elk herd optimizer(EHO)-artificial neural network(ANN) to establish a mapping relationship between printing process parameters and the size of deposited droplets.

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