Suppr超能文献

利用 DNA 偶联抗体的 CODEX 多重组织成像

CODEX multiplexed tissue imaging with DNA-conjugated antibodies.

机构信息

Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA.

Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.

出版信息

Nat Protoc. 2021 Aug;16(8):3802-3835. doi: 10.1038/s41596-021-00556-8. Epub 2021 Jul 2.

Abstract

Advances in multiplexed imaging technologies have drastically improved our ability to characterize healthy and diseased tissues at the single-cell level. Co-detection by indexing (CODEX) relies on DNA-conjugated antibodies and the cyclic addition and removal of complementary fluorescently labeled DNA probes and has been used so far to simultaneously visualize up to 60 markers in situ. CODEX enables a deep view into the single-cell spatial relationships in tissues and is intended to spur discovery in developmental biology, disease and therapeutic design. Herein, we provide optimized protocols for conjugating purified antibodies to DNA oligonucleotides, validating the conjugation by CODEX staining and executing the CODEX multicycle imaging procedure for both formalin-fixed, paraffin-embedded (FFPE) and fresh-frozen tissues. In addition, we describe basic image processing and data analysis procedures. We apply this approach to an FFPE human tonsil multicycle experiment. The hands-on experimental time for antibody conjugation is ~4.5 h, validation of DNA-conjugated antibodies with CODEX staining takes ~6.5 h and preparation for a CODEX multicycle experiment takes ~8 h. The multicycle imaging and data analysis time depends on the tissue size, number of markers in the panel and computational complexity.

摘要

多重成像技术的进步极大地提高了我们在单细胞水平上对健康和患病组织进行特征描述的能力。索引共检测(CODEX)依赖于 DNA 偶联抗体以及互补荧光标记 DNA 探针的循环添加和去除,迄今为止已被用于同时原位可视化多达 60 个标记物。CODEX 能够深入观察组织中单细胞的空间关系,旨在促进发育生物学、疾病和治疗设计方面的发现。本文中,我们提供了将纯化抗体偶联到 DNA 寡核苷酸的优化方案,通过 CODEX 染色验证了偶联,并为福尔马林固定石蜡包埋(FFPE)和新鲜冷冻组织执行了 CODEX 多循环成像程序。此外,我们还描述了基本的图像处理和数据分析程序。我们将此方法应用于 FFPE 人扁桃体多循环实验。抗体偶联的实际操作时间约为 4.5 小时,用 CODEX 染色验证 DNA 偶联抗体需要约 6.5 小时,准备 CODEX 多循环实验需要约 8 小时。多循环成像和数据分析时间取决于组织大小、面板中的标记物数量和计算复杂性。

相似文献

1
CODEX multiplexed tissue imaging with DNA-conjugated antibodies.
Nat Protoc. 2021 Aug;16(8):3802-3835. doi: 10.1038/s41596-021-00556-8. Epub 2021 Jul 2.
2
Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction.
Eur J Immunol. 2021 May;51(5):1262-1277. doi: 10.1002/eji.202048891. Epub 2021 Mar 10.
3
Multiplexed Immunophenotyping of Lymphoma Tissue Samples.
Methods Mol Biol. 2025;2865:375-393. doi: 10.1007/978-1-0716-4188-0_16.
4
A Hitchhiker's guide to high-dimensional tissue imaging with multiplexed ion beam imaging.
Methods Cell Biol. 2024;186:213-231. doi: 10.1016/bs.mcb.2024.02.018. Epub 2024 Mar 10.
6
Rhesus Macaque CODEX Multiplexed Immunohistochemistry Panel for Studying Immune Responses During Ebola Infection.
Front Immunol. 2021 Dec 6;12:729845. doi: 10.3389/fimmu.2021.729845. eCollection 2021.
7
Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging.
Front Immunol. 2021 May 19;12:687673. doi: 10.3389/fimmu.2021.687673. eCollection 2021.
10
Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging.
Cell. 2018 Aug 9;174(4):968-981.e15. doi: 10.1016/j.cell.2018.07.010. Epub 2018 Aug 2.

引用本文的文献

1
Constructing and Using Cell Type Populations of the Human Reference Atlas.
bioRxiv. 2025 Aug 20:2025.08.14.670406. doi: 10.1101/2025.08.14.670406.
2
Refining the Composition and Significance of Human Renal Intratubular Casts Using Spatial Protein Imaging.
medRxiv. 2025 Aug 24:2025.08.20.25334083. doi: 10.1101/2025.08.20.25334083.
4
Spatial morphoproteomic features predict disease states from tissue architectures.
iScience. 2025 Jul 24;28(8):113204. doi: 10.1016/j.isci.2025.113204. eCollection 2025 Aug 15.
5
ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images.
Nat Commun. 2025 Aug 16;16(1):7633. doi: 10.1038/s41467-025-62346-0.
8
Autoimmune origin for immune checkpoint inhibitor-diabetes revealed by deep immune phenotyping of the pancreas.
J Immunother Cancer. 2025 Aug 14;13(8):e011818. doi: 10.1136/jitc-2025-011818.
9
MiroSCOPE: An AI-driven digital pathology platform for annotating functional tissue units.
bioRxiv. 2025 Jul 17:2025.07.11.664228. doi: 10.1101/2025.07.11.664228.
10
Multiplex imaging analysis of the tumor immune microenvironment for guiding precision immunotherapy.
Front Immunol. 2025 Jul 11;16:1617906. doi: 10.3389/fimmu.2025.1617906. eCollection 2025.

本文引用的文献

1
Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging.
Front Immunol. 2021 May 19;12:687673. doi: 10.3389/fimmu.2021.687673. eCollection 2021.
2
Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction.
Eur J Immunol. 2021 May;51(5):1262-1277. doi: 10.1002/eji.202048891. Epub 2021 Mar 10.
3
Cellpose: a generalist algorithm for cellular segmentation.
Nat Methods. 2021 Jan;18(1):100-106. doi: 10.1038/s41592-020-01018-x. Epub 2020 Dec 14.
4
Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front.
Cell. 2020 Sep 3;182(5):1341-1359.e19. doi: 10.1016/j.cell.2020.07.005. Epub 2020 Aug 6.
5
Combining Qdot Nanotechnology and DNA Nanotechnology for Sensitive Single-Cell Imaging.
Adv Mater. 2020 Jul;32(30):e1908410. doi: 10.1002/adma.201908410. Epub 2020 Jun 16.
6
Publisher Correction: Tissue clearing and its applications in neuroscience.
Nat Rev Neurosci. 2020 May;21(5):298. doi: 10.1038/s41583-020-0291-5.
7
Single-cell morphology encodes metastatic potential.
Sci Adv. 2020 Jan 22;6(4):eaaw6938. doi: 10.1126/sciadv.aaw6938. eCollection 2020 Jan.
8
Immuno-SABER enables highly multiplexed and amplified protein imaging in tissues.
Nat Biotechnol. 2019 Sep;37(9):1080-1090. doi: 10.1038/s41587-019-0207-y. Epub 2019 Aug 19.
9
Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy.
Cell Rep. 2019 Jul 16;28(3):819-831.e4. doi: 10.1016/j.celrep.2019.06.049.
10
Deep learning for cellular image analysis.
Nat Methods. 2019 Dec;16(12):1233-1246. doi: 10.1038/s41592-019-0403-1. Epub 2019 May 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验