Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA.
Akoya Biosciences, 1505 O'Brien Drive, Menlo Park, CA, USA.
Eur J Immunol. 2021 May;51(5):1262-1277. doi: 10.1002/eji.202048891. Epub 2021 Mar 10.
Multiparameter tissue imaging enables analysis of cell-cell interactions in situ, the cellular basis for tissue structure, and novel cell types that are spatially restricted, giving clues to biological mechanisms behind tissue homeostasis and disease. Here, we streamlined and simplified the multiplexed imaging method CO-Detection by indEXing (CODEX) by validating 58 unique oligonucleotide barcodes that can be conjugated to antibodies. We showed that barcoded antibodies retained their specificity for staining cognate targets in human tissue. Antibodies were visualized one at a time by adding a fluorescently labeled oligonucleotide complementary to oligonucleotide barcode, imaging, stripping, and repeating this cycle. With this we developed a panel of 46 antibodies that was used to stain five human lymphoid tissues: three tonsils, a spleen, and a LN. To analyze the data produced, an image processing and analysis pipeline was developed that enabled single-cell analysis on the data, including unsupervised clustering, that revealed 31 cell types across all tissues. We compared cell-type compositions within and directly surrounding follicles from the different lymphoid organs and evaluated cell-cell density correlations. This sequential oligonucleotide exchange technique enables a facile imaging of tissues that leverages pre-existing imaging infrastructure to decrease the barriers to broad use of multiplexed imaging.
多参数组织成像能够分析原位细胞间相互作用、组织结构的细胞基础,以及空间受限的新型细胞类型,为组织稳态和疾病背后的生物学机制提供线索。在这里,我们通过验证 58 个独特的寡核苷酸条形码,这些条形码可以与抗体结合,简化并简化了多重成像方法 CO-Detection by indEXing (CODEX)。我们表明,标记了条形码的抗体保留了对人组织中同源靶标的特异性染色。通过添加与寡核苷酸条形码互补的荧光标记寡核苷酸,一次可视化一个抗体,进行成像、剥离,然后重复这个循环。利用这一方法,我们开发了一个由 46 种抗体组成的试剂盒,用于染色五种人类淋巴组织:三个扁桃体、一个脾脏和一个淋巴结。为了分析产生的数据,我们开发了一个图像处理和分析管道,能够对数据进行单细胞分析,包括无监督聚类,揭示了所有组织中的 31 种细胞类型。我们比较了不同淋巴器官滤泡内和直接周围的细胞类型组成,并评估了细胞-细胞密度相关性。这种顺序寡核苷酸交换技术能够方便地对组织进行成像,利用现有的成像基础设施来降低多重成像广泛应用的障碍。