美国斯坦福大学Sean C. Bendall团队研究提出复用单细胞形态学可用于血液病理学诊断。相关论文于2020年3月11日发表于《自然-医学》。
淋巴瘤和白血病的诊断需要血液病理学家结合显微镜下可见的细胞形态与抗体鉴定的细胞表面分子表达。为了将这些融合为一种高通量、高度复用的单细胞测定法，研究人员通过其潜在的、抗体可测定的分子成分来量化细胞的形态特征，从而使细胞计数仪能够像病理学家一样“看到”。
当应用于71种不同的临床样品时，单细胞形态分析可以揭示每种主要细胞类型的“形态”标记的稳健而独特的模式。单一地，lamin B1会突出急性白血病，lamin A / C有助于将正常肿瘤与肿瘤成熟T细胞区分开来，而VAMP-7概括了光细胞计数法的侧向散射。
形态学标记与机器学习相结合，形成了正常和肿瘤细胞分布与分化的直观可视化。
据介绍，当对骨髓单核细胞计数进行重新校准时，这种方法优于流式细胞术，可与专业显微镜相媲美，而无需经过多年的专门培训。
在独立的形态学框架上对传统表面标记物的背景分析可以对复杂的造血系统疾病进行更加灵敏和自动化的诊断。
附：英文原文
Title: Multiplexed single-cell morphometry for hematopathology diagnostics
Author: Albert G. Tsai, David R. Glass, Marisa Juntilla, Felix J. Hartmann, Jean S. Oak, Sebastian Fernandez-Pol, Robert S. Ohgami, Sean C. Bendall
Issue&Volume: 2020-03-11
Abstract: The diagnosis of lymphomas and leukemias requires hematopathologists to integrate microscopically visible cellular morphology with antibody-identified cell surface molecule expression. To merge these into one high-throughput, highly multiplexed, single-cell assay, we quantify cell morphological features by their underlying, antibody-measurable molecular components, which empowers mass cytometers to ‘see’ like pathologists. When applied to 71 diverse clinical samples, single-cell morphometric profiling reveals robust and distinct patterns of ‘morphometric’ markers for each major cell type. Individually, lamin B1 highlights acute leukemias, lamin A/C helps distinguish normal from neoplastic mature T cells, and VAMP-7 recapitulates light-cytometric side scatter. Combined with machine learning, morphometric markers form intuitive visualizations of normal and neoplastic cellular distribution and differentiation. When recalibrated for myelomonocytic blast enumeration, this approach is superior to flow cytometry and comparable to expert microscopy, bypassing years of specialized training. The contextualization of traditional surface markers on independent morphometric frameworks permits more sensitive and automated diagnosis of complex hematopoietic diseases.
DOI: 10.1038/s41591-020-0783-x
Source: https://www.nature.com/articles/s41591-020-0783-x
Nature Medicine：《自然—医学》，创刊于1995年。隶属于施普林格·自然出版集团，最新IF：87.241
官方网址：https://www.nature.com/nm/
投稿链接：https://mts-nmed.nature.com/cgi-bin/main.plex
本期文章：《自然—医学》：Online/在线发表
