多发性骨髓瘤小鼠模型细胞免疫功能测定数据

本数据集聚焦多发性骨髓瘤小鼠模型，系统收录了多发性骨髓瘤小鼠的细胞免疫功能相关检测数据。数据涵盖细胞免疫功能核心检测指标（如总淋巴细胞、总T细胞、CD4+/CD8+ 细胞比例、NK细胞活性、B淋巴细胞数量等）。数据集通过标准化采集与严谨质控流程生成，旨在为多发性骨髓瘤的临床诊疗研究（如免疫功能状态评估与预后关联分析）、药物研发（如免疫调节剂疗效监测）、医学学术研究提供高质量、可复用的数据支撑，助力推动血液系统恶性肿瘤免疫相关领域的科研与临床应用发展。

This dataset centers on multiple myeloma mouse models, and systematically compiles detection data related to cellular immune function in multiple myeloma mice. The data covers core cellular immune function detection indicators, including total lymphocytes, total T cells, CD4+/CD8+ cell ratio, NK cell activity, B lymphocyte count, and other relevant metrics. Generated via standardized data collection and strict quality control procedures, this dataset aims to provide high-quality, reusable data support for multiple myeloma-related clinical diagnosis and treatment research (such as immune function status evaluation and prognostic correlation analysis), drug development (such as efficacy monitoring of immunomodulators), and medical academic studies, so as to promote the progress of scientific research and clinical applications in the field of immune-related hematological malignancies.