Simmons Alan J, Scurrah Cherié R, McKinley Eliot T, Herring Charles A, Irish Jonathan M, Washington M Kay, Coffey Robert J, Lau Ken S
Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Sci Signal. 2016 Oct 11;9(449):rs11. doi: 10.1126/scisignal.aah4413.
Cellular heterogeneity poses a substantial challenge to understanding tissue-level phenotypes and confounds conventional bulk analyses. To analyze signaling at the single-cell level in human tissues, we applied mass cytometry using cytometry time of flight to formalin-fixed, paraffin-embedded (FFPE) normal and diseased intestinal specimens. This technique, called FFPE-DISSECT (disaggregation for intracellular signaling in single epithelial cells from tissue), is a single-cell approach to characterizing signaling states in embedded tissue samples. We applied FFPE-DISSECT coupled to mass cytometry and found differential signaling by tumor necrosis factor-α in intestinal enterocytes, goblet cells, and enteroendocrine cells, implicating the downstream RAS-RAF-MEK pathway in determining goblet cell identity. Application of this technique and computational analyses to human colon specimens confirmed the reduced differentiation in colorectal cancer (CRC) compared to normal colon and revealed increased intratissue and intertissue heterogeneity in CRC with quantitative changes in the regulation of signaling pathways. Specifically, coregulation of the kinases p38 and ERK, the translation regulator 4EBP1, and the transcription factor CREB in proliferating normal colon cells was lost in CRC. Our data suggest that this single-cell approach, applied in conjunction with genomic annotation, enables the rapid and detailed characterization of cellular heterogeneity from clinical repositories of embedded human tissues. This technique can be used to derive cellular landscapes from archived patient samples (beyond CRC) and as a high-resolution tool for disease characterization and subtyping.
细胞异质性对理解组织水平的表型构成了重大挑战,并使传统的整体分析变得复杂。为了在人体组织的单细胞水平上分析信号传导,我们将飞行时间流式细胞术应用于福尔马林固定、石蜡包埋(FFPE)的正常和患病肠道标本。这种技术称为FFPE-DISSECT(从组织中分离单个上皮细胞内的信号),是一种用于表征包埋组织样本中信号状态的单细胞方法。我们将FFPE-DISSECT与流式细胞术相结合,发现肿瘤坏死因子-α在肠道肠细胞、杯状细胞和肠内分泌细胞中存在差异信号传导,这表明下游的RAS-RAF-MEK通路在决定杯状细胞身份方面发挥作用。将该技术和计算分析应用于人类结肠标本,证实与正常结肠相比,结直肠癌(CRC)的分化程度降低,并揭示了CRC中组织内和组织间异质性增加,信号通路调节存在定量变化。具体而言,在增殖的正常结肠细胞中,激酶p38和ERK、翻译调节因子4EBP1以及转录因子CREB的协同调节在CRC中丧失。我们的数据表明,这种单细胞方法与基因组注释相结合,能够从包埋的人体组织临床库中快速、详细地表征细胞异质性。该技术可用于从存档的患者样本(超越CRC)中得出细胞图谱,并作为疾病表征和亚型分类的高分辨率工具。