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A High-Efficiency Electrochemical Biosensor for the Detection of Mucosal-Associated Invariant T Cells.

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Center for Cell Structure and Function, Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China.

Mucosal-associated invariant T (MAIT) cells exhibit significant potential in the assessment of tumor development and immunotherapy. However, there is currently no convenient and efficient method to analyze the quantitative changes of MAIT cells during cancer development and treatment, which has not been extensively studied. Here, we report an electrochemical biosensor designed to efficiently monitor MAIT cells in peripheral blood by simultaneously recognizing Vα7.

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Objective: To evaluate the characteristics of antifungal immunity in patients with bilateral chronic rhinosinusitis with nasal polyps.

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Tralokinumab, an anti-IL-13 antibody, is an effective treatment for patients with atopic dermatitis (AD). However, predictive factors for responders to tralokinumab remain unclear in real-world practice. This study aimed to identify predictive factors for early and late responders to tralokinumab treatment.

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Background: Triple-negative breast cancer (TNBC) is a serious disease with limited treatment options. We explored the significance of androgen receptor (AR) expression and tumor-infiltrating lymphocytes (TILs) in predicting neoadjuvant chemotherapy (NAC) resistance in TNBC, hypothesizing that AR/TIL classification using pretreatment biopsies can identify NAC-resistant subgroups and improve the understanding of apocrine differentiation.

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We introduce , an antibody variable domain diffusion model based on a general protein backbone diffusion framework, which was extended to handle multiple chains. Assessing the designability and novelty of the structures generated with our model, we find that produces highly designable antibodies that can contain novel binding regions. The backbone dihedral angles of sampled structures show good agreement with a reference antibody distribution.

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