Integrated Analytical System for Clinical Single-Cell Analysis

被引:5
|
作者
Peterson, Hannah M. [1 ]
Chin, Lip Ket [1 ]
Iwamoto, Yoshi [1 ]
Oh, Juhyun [1 ]
Carlson, Jonathan C. T. [1 ,2 ]
Lee, Hakho [1 ,3 ]
Im, Hyungsoon [1 ,3 ]
Weissleder, Ralph [1 ,2 ,3 ,4 ]
机构
[1] Massachusetts Gen Hosp, Ctr Syst Biol, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Canc Ctr, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02114 USA
[4] Harvard Med Sch, Dept Syst Biol, Boston, MA 02115 USA
关键词
biopsy; cancer; deep profiling; diagnostic; FINE-NEEDLE; BIOPSY; LIGHT;
D O I
10.1002/advs.202200415
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
High-dimensional analyses of cancers can potentially be used to better define cancer subtypes, analyze the complex tumor microenvironment, and perform cancer cell pathway analyses for drug trials. Unfortunately, integrated systems that allow such analyses in serial fine needle aspirates within a day or at point-of-care currently do not exist. To achieve this, an integrated immunofluorescence single-cell analyzer (i2SCAN) for deep profiling of directly harvested cells is developed. By combining a novel cellular imaging system, highly cyclable bioorthogonal FAST antibody panels, and integrated computational analysis, it is shown that same-day analysis is possible in thousands of harvested cells. It is demonstrated that the i2SCAN approach allows comprehensive analysis of breast cancer samples obtained by fine needle aspiration or core tissues. The method is a rapid, robust, and low-cost solution to high-dimensional analysis of scant clinical specimens.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Single-Cell Metabolomics: Analytical and Biological Perspectives
    Zenobi, R.
    SCIENCE, 2013, 342 (6163) : 1201 - +
  • [22] Computational and analytical challenges in single-cell transcriptomics
    Stegle, Oliver
    Teichmann, Sarah A.
    Marioni, John C.
    NATURE REVIEWS GENETICS, 2015, 16 (03) : 133 - 145
  • [23] Computational and analytical challenges in single-cell transcriptomics
    Oliver Stegle
    Sarah A. Teichmann
    John C. Marioni
    Nature Reviews Genetics, 2015, 16 : 133 - 145
  • [24] Integrated single-cell analysis reveals heterogeneity and therapeutic insights in osteosarcoma
    He, Dongan
    Che, Xiaoqian
    Zhang, Haiming
    Guo, Jiandong
    Cai, Lei
    Li, Jian
    Zhang, Jinxi
    Jin, Xin
    Wang, Jianfeng
    DISCOVER ONCOLOGY, 2024, 15 (01)
  • [25] Integrated Proteome Analysis Device for Fast Single-Cell Protein Profiling
    Shao, Xi
    Wang, Xuantang
    Guan, Sheng
    Lin, Haizhu
    Yan, Guoquan
    Gao, Mingxia
    Deng, Chunhui
    Zhang, Xiangmin
    ANALYTICAL CHEMISTRY, 2018, 90 (23) : 14003 - 14010
  • [26] SCell: integrated analysis of single-cell RNA-seq data
    Diaz, Aaron
    Liu, Siyuan J.
    Sandoval, Carmen
    Pollen, Alex
    Nowakowski, Tom J.
    Lim, Daniel A.
    Kriegstein, Arnold
    BIOINFORMATICS, 2016, 32 (14) : 2219 - 2220
  • [27] Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
    Jones, Matthew G.
    Rosen, Yanay
    Yosef, Nir
    CELL REPORTS METHODS, 2022, 2 (04):
  • [28] Clinical and translational mode of single-cell measurements: An artificial intelligent single-cell
    Wang, Xiangdong
    Powell, Charles A.
    Ma, Qin
    Fan, Jia
    CLINICAL AND TRANSLATIONAL MEDICINE, 2024, 14 (09):
  • [29] Author Correction: An analytical framework for interpretable and generalizable single-cell data analysis
    Jian Zhou
    Olga G. Troyanskaya
    Nature Methods, 2022, 19 : 370 - 370
  • [30] A microchip for integrated single-cell genotoxicity assay
    Dong, Hui
    Sun, Hao
    Zheng, Jianping
    TALANTA, 2016, 161 : 804 - 811