[CHARACTERIZATION OF THE ADAPTIVE IMMUNE REPERTOIRE USING NEXT GENERATION SEQUENCING: RECENT DISCOVERIES IN THE FIELD OF PRIMARY IMMUNODEFICIENCY, AND THE UPCOMING FUTURE].

Harefuah Pub Date : 2024-03-01
Tal Beit Halevi, Raz Somech, Yu Nee Lee-Avnir
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Abstract

Introduction: A powerful adaptive immune system, which includes cellular (T lymphocytes) and humoral (B lymphocytes) immunity, depends on its ability to recognize and protect against millions of different foreign antigens. It does so through an enormous diverse array of T-cell and B-cell receptors, collectively referred to as the adaptive immune repertoire. Using high-throughput sequencing as next generation sequencing (NGS) led to multiple breakthroughs in the field of molecular medicine. It has increased our ability to characterize the immune repertoire in primary immunodeficiency (PID) and to identify defects in diversification processes among other parameters as well. Human inborn errors of immunity represent a unique genotype-phenotype model that enable the study of critical genes' and proteins' role in disease and health. Recent studies regarding immune repertoire profiling of PID allowed us to better define genotype-phenotype correlations in diseases with wide clinical spectrum, the underlining patho-mechanism causing the specific genetic disease, the common features of similar diseases as well as the unique molecular signature for each genetic disease. Immune repertoire knowledge is an integral part of PID research, and aids in improving diagnosis and designing personalized treatment. Nevertheless, NGS has created some challenges that emphasize the need for technologies such as cloud-based platforms like Kusto, enabling scalable data analysis and the incorporation of artificial intelligence techniques.

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[利用新一代测序技术确定适应性免疫复合物的特征:原发性免疫缺陷领域的最新发现和即将到来的未来]。
导读强大的适应性免疫系统,包括细胞(T 淋巴细胞)和体液(B 淋巴细胞)免疫,取决于其识别和抵御数百万不同外来抗原的能力。它通过大量不同的 T 细胞和 B 细胞受体(统称为适应性免疫系统)来实现这一目标。下一代测序(NGS)这种高通量测序技术为分子医学领域带来了多项突破。它提高了我们描述原发性免疫缺陷症(PID)免疫复合物特征的能力,也提高了我们鉴别多样化过程及其他参数缺陷的能力。人类先天性免疫错误是一种独特的基因型-表型模型,可用于研究关键基因和蛋白质在疾病和健康中的作用。最近关于先天性免疫缺陷免疫复合物的研究使我们能够更好地确定临床范围广泛的疾病的基因型-表型相关性、导致特定遗传疾病的基本病理机制、类似疾病的共同特征以及每种遗传疾病的独特分子特征。免疫复合物知识是 PID 研究不可或缺的一部分,有助于改进诊断和设计个性化治疗。然而,NGS 也带来了一些挑战,强调了对 Kusto 等云平台等技术的需求,这些技术可以进行可扩展的数据分析并结合人工智能技术。
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