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基于膜结合型MUC1糖型分析评估肿瘤特征

Assessment of tumor characteristics based on glycoform analysis of membrane-tethered MUC1.

作者信息

Matsuda Atsushi, Higashi Michiyo, Nakagawa Tomomi, Yokoyama Seiya, Kuno Atsushi, Yonezawa Suguru, Narimatsu Hisashi

机构信息

Glycomedicine Technology Research Center (GTRC), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

Department of Pathology, Field of Oncology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka, Kagoshima, Japan.

出版信息

Lab Invest. 2017 Sep;97(9):1103-1113. doi: 10.1038/labinvest.2017.53. Epub 2017 Jun 5.

Abstract

Clinical tissue specimens are useful for pathological diagnosis, which is, in some cases, supported by visualization of biomolecule localization. In general, diagnostic specificity in molecular pathology is increased by the acquisition of a probe to distinguish the modification of isomers. Although glycosylation is one of the candidate modifications in a protein, comparative glycan analysis of disease-associated proteins derived from a single tissue section is still challenging because of the lack of analytical sensitivity. Here we demonstrate a possible method for differential glycoform analysis of an endogenous tumor-associated glycoprotein MUC1 by an antibody-overlay lectin microarray. Tissue sections (5 μm thick) of patients with cholangiocarcinoma (CCA; n=21) and pancreatic ductal adenocarcinoma (PDAC; n=50) were stained with an anti-MUC1 antibody MY.1E12 that was established as a monoclonal antibody recognizing an MUC1 glycosylation isoform with a sialyl-core 1 structure (NeuAcα2-3galactosyl β1-3-N-acetylgalactosamine). MY.1E12-positive tissue areas (2.5 mm) were selectively dissected with a laser capture microdissection procedure. The membrane MUC1 was enriched by immunoprecipitation with MY.1E12 and subjected to lectin microarray analysis. Even though the reactivities of MY.1E12 between CCA and PDAC were similar, the lectin-binding patterns varied. We found Maackia amurensis leukoagglutinin and pokeweed lectin distinguished MY.1E12-reactive MUC1 of CCA from that of PDAC. Moreover, MUC1 with M. amurensis hemagglutinin (MAH) reactivity potentially reflected the degree of malignancy. These results were confirmed with MAH-MY.1E12 double fluorescent immunostaining. These glycan changes on MUC1 were detected with high sensitivity owing to the cluster effect of immobilized lectins on a tandem repeat peptide antigen covered with highly dense glycosylation such as mucin. Our approach provides the information to investigate novel glycodynamics in biology, for example, glycoalteration, as well as diseases related to not only MUC1 but also other membrane proteins.

摘要

临床组织标本对病理诊断很有用,在某些情况下,生物分子定位的可视化可为病理诊断提供支持。一般来说,通过获取用于区分异构体修饰的探针,分子病理学中的诊断特异性会提高。虽然糖基化是蛋白质中候选修饰之一,但由于缺乏分析灵敏度,对源自单个组织切片的疾病相关蛋白进行比较聚糖分析仍然具有挑战性。在此,我们展示了一种通过抗体覆盖凝集素微阵列对内源性肿瘤相关糖蛋白MUC1进行差异糖型分析的可能方法。对胆管癌(CCA;n = 21)和胰腺导管腺癌(PDAC;n = 50)患者的组织切片(5μm厚)用抗MUC1抗体MY.1E12进行染色,该抗体是一种单克隆抗体,可识别具有唾液酸化核心1结构(NeuAcα2 - 3半乳糖基β1 - 3 - N - 乙酰半乳糖胺)的MUC1糖基化异构体。使用激光捕获显微切割程序选择性地切割MY.1E12阳性组织区域(2.5mm)。通过用MY.1E12进行免疫沉淀富集膜MUC1,并进行凝集素微阵列分析。尽管CCA和PDAC之间MY.1E12的反应性相似,但凝集素结合模式有所不同。我们发现黑果腺肋花楸凝集素和商陆凝集素能区分CCA的MY.1E12反应性MUC1和PDAC的MY.1E12反应性MUC1。此外,具有黑果腺肋花楸血凝素(MAH)反应性的MUC1可能反映了恶性程度。这些结果通过MAH - MY.1E12双重荧光免疫染色得到证实。由于固定化凝集素对覆盖有高密度糖基化的串联重复肽抗原(如粘蛋白)的簇集效应,MUC1上的这些聚糖变化得以高灵敏度检测。我们的方法为研究生物学中的新型糖动力学提供了信息,例如糖基改变,以及不仅与MUC1而且与其他膜蛋白相关的疾病。

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