High-content and high-throughput identification of macrophage polarization phenotypes

被引:27
|
作者
Geng, Yingying [1 ,2 ]
Hardie, Joseph [2 ]
Landis, Ryan F. [2 ]
Mas-Rosario, Javier A. [1 ,2 ]
Chattopadhyay, Aritra Nath [2 ]
Keshri, Puspam [2 ]
Sun, Jiadi [2 ,3 ]
Rizzo, Erik M. [2 ]
Gopalakrishnan, Sanjana [2 ]
Farkas, Michelle E. [1 ,2 ]
Rotello, Vincent M. [1 ,2 ]
机构
[1] Univ Massachusetts, Mol & Cellular Biol Program, 710 N Pleasant St, Amherst, MA 01003 USA
[2] Univ Massachusetts, Dept Chem, 710 N Pleasant St, Amherst, MA 01003 USA
[3] Jiangnan Univ, Sch Food Sci, State Key Lab Food Sci & Technol, Wuxi, Jiangsu, Peoples R China
基金
美国国家卫生研究院;
关键词
TUMOR-ASSOCIATED MACROPHAGES; RAPID IDENTIFICATION; CELLS; ACTIVATION; CANCER; BACTERIA; MODULATION; MECHANISMS; PLASTICITY; MONOCYTES;
D O I
10.1039/d0sc02792h
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Macrophages are plastic cells of the innate immune system that perform a wide range of immune- and homeostasis-related functions. Due to their plasticity, macrophages can polarize into a spectrum of activated phenotypes. Rapid identification of macrophage polarization states provides valuable information for drug discovery, toxicological screening, and immunotherapy evaluation. The complexity associated with macrophage activation limits the ability of current biomarker-based methods to rapidly identify unique activation states. In this study, we demonstrate the ability of a 2-element sensor array that provides an information-rich 5-channel output to successfully determine macrophage polarization phenotypes in a matter of minutes. The simple and robust sensor generates a high dimensional data array which enables accurate macrophage evaluations in standard cell lines and primary cells after cytokine treatment, as well as following exposure to a model disease environment.
引用
收藏
页码:8231 / 8239
页数:9
相关论文
共 50 条
  • [41] A Microscopic Phenotypic Assay for the Quantification of Intracellular Mycobacteria Adapted for High-throughput/High-content Screening
    Queval, Christophe. J.
    Song, Ok-Ryul
    Delorme, Vincent
    Iantomasi, Raffaella
    Veyron-Churlet, Romain
    Deboosere, Nathalie
    Landry, Valerie
    Baulard, Alain
    Brodin, Priscille
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2014, (83):
  • [42] Automated high-throughput, high-content 3D imaging of intact pancreatic islets
    McCarty, Sean M.
    Clasby, Martin C.
    Sexton, Jonathan Z.
    SLAS DISCOVERY, 2023, 28 (07) : 316 - 324
  • [43] Detection of Phospholipidosis Induction: A Cell-Based Assay in High-Throughput and High-Content Format
    Shahane, Sampada A.
    Huang, Ruili
    Gerhold, David
    Baxa, Ulrich
    Austin, Christopher P.
    Xia, Menghang
    JOURNAL OF BIOMOLECULAR SCREENING, 2014, 19 (01) : 66 - 76
  • [44] High-throughput screening for ethanol phenotypes
    Matthews, DB
    Chesler, E
    Williams, R
    Hamre, K
    Goldowitz, D
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2005, 29 (05) : 195A - 195A
  • [45] Challenges and solutions to developing an automated high-throughput/high-content screening platform for the 'neglected' schistosome parasite
    Caffrey, Conor
    Chen, Steven
    Suzuki, Brian
    Singh, Rahul
    Arkin, Michelle
    FASEB JOURNAL, 2016, 30
  • [46] High-content live cell imaging with RNA probes: advancements in high-throughput antimalarial drug discovery
    Cervantes, Serena
    Prudhomme, Jacques
    Carter, David
    Gopi, Krishna G.
    Li, Qian
    Chang, Young-Tae
    Le Roch, Karine G.
    BMC CELL BIOLOGY, 2009, 10
  • [47] From observing to predicting single-cell structure and function with high-throughput/high-content microscopy
    Chessel, Anatole
    Salas, Rafael E. Carazo
    SINGLE CELL BIOLOGY, 2019, 63 (02): : 197 - 208
  • [48] Challenges and solutions to developing an automated high-throughput/high-content screening platform for the 'neglected' schistosome parasite
    Caffrey, Conor
    Chen, Steven
    Suzuki, Brian
    Singh, Rahul
    Arkin, Michelle
    FASEB JOURNAL, 2016, 30
  • [49] A combined high-throughput and high-content platform for unified on-chip synthesis, characterization and biological screening
    Benz, Maximilian
    Asperger, Arndt
    Hamester, Meike
    Welle, Alexander
    Heissler, Stefan
    Levkin, Pavel A.
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [50] A phenotypic high-content, high-throughput screen identifies inhibitors of NLRP3 inflammasome activation
    Nizami, Sohaib
    Millar, Val
    Arunasalam, Kanisa
    Zarganes-Tzitzikas, Tryfon
    Brough, David
    Tresadern, Gary
    Brennan, Paul E.
    Davis, John B.
    Ebner, Daniel
    Di Daniel, Elena
    SCIENTIFIC REPORTS, 2021, 11 (01)