Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue

被引:530
作者
Gerdes, Michael J. [1 ]
Sevinsky, Christopher J. [2 ]
Sood, Anup [3 ]
Adak, Sudeshna [13 ]
Bello, Musodiq O. [4 ]
Bordwell, Alexander
Can, Ali [4 ]
Corwin, Alex [5 ]
Dinn, Sean [3 ]
Filkins, Robert J. [6 ]
Hollman, Denise [2 ]
Kamath, Vidya [7 ]
Kaanumalle, Sireesha [3 ]
Kenny, Kevin [8 ]
Larsen, Melinda [1 ]
Lazare, Michael [9 ]
Li, Qing [9 ]
Lowes, Christina [9 ]
McCulloch, Colin C. [10 ]
McDonough, Elizabeth
Montalto, Michael C.
Pang, Zhengyu [2 ]
Rittscher, Jens [11 ]
Santamaria-Pang, Alberto [4 ]
Sarachan, Brion D. [12 ]
Seel, Maximilian L. [2 ]
Seppo, Antti [1 ]
Shaikh, Kashan [5 ]
Sui, Yunxia
Zhang, Jingyu [2 ]
Ginty, Fiona
机构
[1] GE Global Res Ctr, Cell Biol Lab, Niskayuna, NY 12309 USA
[2] GE Global Res Ctr, Biochem & Bioanalyt Lab, Niskayuna, NY 12309 USA
[3] GE Global Res Ctr, Biol & Organ Chem Lab, Niskayuna, NY 12309 USA
[4] GE Global Res Ctr, Biomed Image Anal Lab, Niskayuna, NY 12309 USA
[5] GE Global Res Ctr, Microsyst & Microfluid Lab, Niskayuna, NY 12309 USA
[6] GE Global Res Ctr, Clin Syst & Signal Proc Org, Niskayuna, NY 12309 USA
[7] GE Global Res Ctr, Computat Biol & Biostat Lab, Niskayuna, NY 12309 USA
[8] GE Global Res Ctr, Adv Comp Lab, Niskayuna, NY 12309 USA
[9] GE Global Res Ctr, Biomed Imaging & Physiol Lab, Niskayuna, NY 12309 USA
[10] GE Global Res Ctr, Appl Stat Lab, Niskayuna, NY 12309 USA
[11] GE Global Res Ctr, Comp Vis Lab, Niskayuna, NY 12309 USA
[12] GE Global Res Ctr, Software Sci & Analyt Org, Niskayuna, NY 12309 USA
[13] John F Welch Technol Ctr, GE Healthcare, Bangalore 560066, Karnataka, India
关键词
cancer diagnostics; high-content cellular analysis; image analysis; mTOR; multiplexing; BREAST-CANCER; TRANSLATIONAL CONTROL; KINASE INHIBITORS; PROTEIN CLUSTERS; IMMUNOHISTOCHEMISTRY; CARCINOMA; SECTIONS; SUBTYPES; GROWTH; GENE;
D O I
10.1073/pnas.1300136110
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Limitations on the number of unique protein and DNA molecules that can be characterized microscopically in a single tissue specimen impede advances in understanding the biological basis of health and disease. Here we present a multiplexed fluorescence microscopy method (MxIF) for quantitative, single-cell, and subcellular characterization of multiple analytes in formalin-fixed paraffin-embedded tissue. Chemical inactivation of fluorescent dyes after each image acquisition round allows reuse of common dyes in iterative staining and imaging cycles. The mild inactivation chemistry is compatible with total and phosphoprotein detection, as well as DNA FISH. Accurate computational registration of sequential images is achieved by aligning nuclear counterstain-derived fiducial points. Individual cells, plasma membrane, cytoplasm, nucleus, tumor, and stromal regions are segmented to achieve cellular and subcellular quantification of multiplexed targets. In a comparison of pathologist scoring of diaminobenzidine staining of serial sections and automated MxIF scoring of a single section, human epidermal growth factor receptor 2, estrogen receptor, p53, and androgen receptor staining by diaminobenzidine and MxIF methods yielded similar results. Single-cell staining patterns of 61 protein antigens by MxIF in 747 colorectal cancer subjects reveals extensive tumor heterogeneity, and cluster analysis of divergent signaling through ERK1/2, S6 kinase 1, and 4E binding protein 1 provides insights into the spatial organization of mechanistic target of rapamycin and MAPK signal transduction. Our results suggest MxIF should be broadly applicable to problems in the fields of basic biological research, drug discovery and development, and clinical diagnostics.
引用
收藏
页码:11982 / 11987
页数:6
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