Proteomic Portrait of Human Lymphoma Reveals Protein Molecular Fingerprint of Disease Specific Subtypes and Progression.

IF 3.7 Q2 GENETICS & HEREDITY
Phenomics (Cham, Switzerland) Pub Date : 2022-12-12 eCollection Date: 2023-04-01 DOI:10.1007/s43657-022-00075-w
Xin Ku, Jinghan Wang, Haikuo Li, Chen Meng, Fang Yu, Wenjuan Yu, Zhongqi Li, Ziqi Zhou, Can Zhang, Ying Hua, Wei Yan, Jie Jin
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引用次数: 0

Abstract

An altered proteome in lymph nodes often suggests abnormal signaling pathways that may be associated with diverse lymphatic disorders. Current clinical biomarkers for histological classification of lymphomas have encountered many discrepancies, particularly for borderline cases. Therefore, we launched a comprehensive proteomic study aimed to establish a proteomic landscape of patients with various lymphatic disorders and identify proteomic variations associated with different disease subgroups. In this study, 109 fresh-frozen lymph node tissues from patients with various lymphatic disorders (with a focus on Non-Hodgkin's Lymphoma) were analyzed by data-independent acquisition mass spectrometry. A quantitative proteomic landscape was comprehensively characterized, leading to the identification of featured protein profiles for each subgroup. Potential correlations between clinical outcomes and expression profiles of signature proteins were also probed. Two representative signature proteins, phospholipid-binding proteins Annexin A6 (ANXA6) and Phospholipase C Gamma 2 (PLCG2), were successfully validated via immunohistochemistry. We also evaluated the capability of acquired proteomic signatures to segregate multiple lymphatic abnormalities and identified several core signature proteins, such as Sialic Acid Binding Ig Like Lectin 1 (SIGLEC1) and GTPase of immunity-associated protein 5 (GIMAP5). In summary, the established lympho-specific data resource provides a comprehensive map of protein expression in lymph nodes during multiple disease states, thus extending the existing human tissue proteome atlas. Our findings will be of great value in exploring protein expression and regulation underlying lymphatic malignancies, while also providing novel protein candidates to classify various lymphomas for more precise medical practice.

Supplementary information: The online version contains supplementary material available at 10.1007/s43657-022-00075-w.

人类淋巴瘤的蛋白质组学图谱揭示了疾病特异性亚型和进展的蛋白质分子指纹。
淋巴结中蛋白质组的改变通常表明信号通路异常,可能与多种淋巴疾病有关。目前淋巴瘤组织学分类的临床生物标志物遇到了许多差异,特别是在边缘病例中。因此,我们启动了一项全面的蛋白质组学研究,旨在建立各种淋巴系统疾病患者的蛋白质组景观,并确定与不同疾病亚组相关的蛋白质组变异。在这项研究中,通过数据独立采集质谱法分析了109例来自各种淋巴疾病(重点是非霍奇金淋巴瘤)患者的新鲜冷冻淋巴结组织。对定量蛋白质组学景观进行了全面表征,从而确定了每个亚组的特征蛋白质图谱。还探讨了临床结果与特征蛋白表达谱之间的潜在相关性。两种具有代表性的标志蛋白,磷脂结合蛋白膜联蛋白A6(ANXA6)和磷脂酶Cγ2(PLCG2),通过免疫组织化学成功验证。我们还评估了获得的蛋白质组学特征分离多种淋巴异常的能力,并鉴定了几种核心特征蛋白,如唾液酸结合Ig样凝集素1(SIGLEC1)和免疫相关蛋白5的GTP酶(GIMAP5)。总之,所建立的淋巴特异性数据资源提供了多种疾病状态下淋巴结中蛋白质表达的全面图谱,从而扩展了现有的人类组织蛋白质组图谱。我们的发现将对探索淋巴恶性肿瘤背后的蛋白质表达和调节具有重要价值,同时也为更精确的医学实践提供了新的蛋白质候选者来对各种淋巴瘤进行分类。补充信息:在线版本包含补充材料,请访问10.1007/s43657-022-00075-w。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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