基于酪酰胺的多重免疫荧光表征肿瘤免疫微环境。

IF 3.1 4区 医学 Q2 ENDOCRINOLOGY & METABOLISM Journal of Mammary Gland Biology and Neoplasia Pub Date : 2020-12-01 Epub Date: 2021-02-15 DOI:10.1007/s10911-021-09479-2
Hidetoshi Mori, Jennifer Bolen, Louis Schuetter, Pierre Massion, Clifford C Hoyt, Scott VandenBerg, Laura Esserman, Alexander D Borowsky, Michael J Campbell
{"title":"基于酪酰胺的多重免疫荧光表征肿瘤免疫微环境。","authors":"Hidetoshi Mori,&nbsp;Jennifer Bolen,&nbsp;Louis Schuetter,&nbsp;Pierre Massion,&nbsp;Clifford C Hoyt,&nbsp;Scott VandenBerg,&nbsp;Laura Esserman,&nbsp;Alexander D Borowsky,&nbsp;Michael J Campbell","doi":"10.1007/s10911-021-09479-2","DOIUrl":null,"url":null,"abstract":"<p><p>Multiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.</p>","PeriodicalId":16413,"journal":{"name":"Journal of Mammary Gland Biology and Neoplasia","volume":"25 4","pages":"417-432"},"PeriodicalIF":3.1000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10911-021-09479-2","citationCount":"23","resultStr":"{\"title\":\"Characterizing the Tumor Immune Microenvironment with Tyramide-Based Multiplex Immunofluorescence.\",\"authors\":\"Hidetoshi Mori,&nbsp;Jennifer Bolen,&nbsp;Louis Schuetter,&nbsp;Pierre Massion,&nbsp;Clifford C Hoyt,&nbsp;Scott VandenBerg,&nbsp;Laura Esserman,&nbsp;Alexander D Borowsky,&nbsp;Michael J Campbell\",\"doi\":\"10.1007/s10911-021-09479-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Multiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.</p>\",\"PeriodicalId\":16413,\"journal\":{\"name\":\"Journal of Mammary Gland Biology and Neoplasia\",\"volume\":\"25 4\",\"pages\":\"417-432\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s10911-021-09479-2\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mammary Gland Biology and Neoplasia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10911-021-09479-2\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/2/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mammary Gland Biology and Neoplasia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10911-021-09479-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/2/15 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 23

摘要

多重免疫荧光(mIF)允许在单个组织切片上同时检测基于抗体的多个标记物与核反染色。最近的研究表明,mIF正在成为肿瘤微环境免疫分析的重要工具,进一步推进了我们对癌症与免疫系统之间相互作用的理解,并确定了对免疫治疗反应的预测性生物标志物。加速mIF的发现将导致诊断小组的改进,而重要的是,mIF方案必须标准化,以促进其过渡到临床使用。手工处理mIF的切片非常耗时,而且是众多样本之间存在差异的潜在来源。为了提高再现性和吞吐量,我们演示了使用自动滑动染色机结合酰胺信号放大(TSA)的mIF。我们描述了两个旨在表征肿瘤免疫微环境的小组。第1组包括CD3、CD20、CD117、FOXP3、Ki67、全细胞角化蛋白(CK)和DAPI,第2组包括CD3、CD8、CD68、PD-1、PD-L1、CK和DAPI。首先通过标准免疫组织化学和单路IF检测一抗,然后制作多路板,使用Vectra 3.0多光谱成像系统获得图像。各种图像分析方法(识别细胞类型,确定细胞密度,表征细胞-细胞关联)概述。这些mIF协议将成为肿瘤微环境免疫分析的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Characterizing the Tumor Immune Microenvironment with Tyramide-Based Multiplex Immunofluorescence.

Multiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Mammary Gland Biology and Neoplasia
Journal of Mammary Gland Biology and Neoplasia 医学-内分泌学与代谢
CiteScore
5.30
自引率
4.00%
发文量
22
期刊介绍: Journal of Mammary Gland Biology and Neoplasia is the leading Journal in the field of mammary gland biology that provides researchers within and outside the field of mammary gland biology with an integrated source of information pertaining to the development, function, and pathology of the mammary gland and its function. Commencing in 2015, the Journal will begin receiving and publishing a combination of reviews and original, peer-reviewed research. The Journal covers all topics related to the field of mammary gland biology, including mammary development, breast cancer biology, lactation, and milk composition and quality. The environmental, endocrine, nutritional, and molecular factors regulating these processes is covered, including from a comparative biology perspective.
期刊最新文献
Differential effects of oral contraceptives on lymph node metastasis in breast cancer: role of tumor size as an effect modifier. COX-2- and IDO-associated immunomodulatory functions of stage II carcinoma-associated fibroblasts in breast cancer. Preserving RNA quality when freezing of human milk samples must occur before extraction: Validation of methods utilized in a multi-center cohort study. In Vitro Model of Milking Pulses and Stretching Cycles: Assessing Mechanical Effects on Bovine Mammary Cells. Looking in the Rear-View Mirror: How Lineage Tracing Experiments Redefined Cell Hierarchy in the Mammary Gland.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1