Image-Based Annotation of Chemogenomic Libraries for Phenotypic Screening

被引:16
|
作者
Tjaden, Amelie [1 ,2 ]
Chaikuad, Apirat [1 ,2 ]
Kowarz, Eric [3 ]
Marschalek, Rolf [3 ]
Knapp, Stefan [1 ,2 ]
Schroeder, Martin [1 ,2 ]
Mueller, Susanne [1 ,2 ]
机构
[1] Goethe Univ Frankfurt, Inst Pharmaceut Chem, Max von Laue Str 9, D-60438 Frankfurt, Germany
[2] Goethe Univ Frankfurt, Struct Genom Consortium, BMLS, Max von Laue Str 15, D-60438 Frankfurt, Germany
[3] Goethe Univ, Inst Pharmaceut Biol, Max von Laue Str 9, D-60438 Frankfurt, Germany
来源
MOLECULES | 2022年 / 27卷 / 04期
基金
加拿大创新基金会; 欧盟地平线“2020”; 巴西圣保罗研究基金会;
关键词
phenotypic screening; high content imaging; chemogenomics; machine learning; cell cycle; ASSAY INTERFERENCE COMPOUNDS; FACTOR RECEPTOR INHIBITOR; CELL LUNG-CANCER; IN-VITRO; COMPOUNDS PAINS; DRUG DISCOVERY; DNA-DAMAGE; CYCLE; GROWTH; CHEMOTHERAPY;
D O I
10.3390/molecules27041439
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Phenotypical screening is a widely used approach in drug discovery for the identification of small molecules with cellular activities. However, functional annotation of identified hits often poses a challenge. The development of small molecules with narrow or exclusive target selectivity such as chemical probes and chemogenomic (CG) libraries, greatly diminishes this challenge, but non-specific effects caused by compound toxicity or interference with basic cellular functions still pose a problem to associate phenotypic readouts with molecular targets. Hence, each compound should ideally be comprehensively characterized regarding its effects on general cell functions. Here, we report an optimized live-cell multiplexed assay that classifies cells based on nuclear morphology, presenting an excellent indicator for cellular responses such as early apoptosis and necrosis. This basic readout in combination with the detection of other general cell damaging activities of small molecules such as changes in cytoskeletal morphology, cell cycle and mitochondrial health provides a comprehensive time-dependent characterization of the effect of small molecules on cellular health in a single experiment. The developed high-content assay offers multi-dimensional comprehensive characterization that can be used to delineate generic effects regarding cell functions and cell viability, allowing an assessment of compound suitability for subsequent detailed phenotypic and mechanistic studies.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] "Function-First" Lead Discovery: Mode of Action Profiling of Natural Product Libraries Using Image-Based Screening
    Schulze, Christopher J.
    Bray, Walter M.
    Woerhmann, Marcos H.
    Stuart, Joshua
    Lokey, R. Scott
    Linington, Roger G.
    CHEMISTRY & BIOLOGY, 2013, 20 (02): : 285 - 295
  • [22] Image-based rendering using image-based priors
    Fitzgibbon, A
    Wexler, Y
    Zisserman, A
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2005, 63 (02) : 141 - 151
  • [23] Image-Based Rendering Using Image-Based Priors
    Andrew Fitzgibbon
    Yonatan Wexler
    Andrew Zisserman
    International Journal of Computer Vision, 2005, 63 : 141 - 151
  • [24] Image-based rendering using image-based priors
    Fitzgibbon, A
    Wexler, Y
    Zisserman, A
    NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 1176 - 1183
  • [25] A method for high-throughput image-based antifungal screening
    Sabburg, Rosalie
    Gregson, Aphrika
    Urquhart, Andrew S.
    Aitken, Elizabeth A. B.
    Smith, Linda
    Thatcher, Louise F.
    Gardiner, Donald M.
    JOURNAL OF MICROBIOLOGICAL METHODS, 2021, 190
  • [26] Image-based cell-resolved screening assays in flow
    Cheung, Man Ching
    McKenna, Brian
    Wang, Steve S.
    Wolf, Dane
    Ehrlich, Daniel J.
    CYTOMETRY PART A, 2015, 87A (06) : 541 - 548
  • [27] Automated image-based screening of cell cultures for cell therapy
    Glory, E.
    Meas-Yedid, V.
    Stamon, G.
    Pinset, Ch.
    Olivio-Marin, J. -Ch.
    2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3, 2006, : 259 - +
  • [28] A Deep Learning Framework for Image-Based Screening of Kawasaki Disease
    Lam, Jonathan Y.
    Kanegaye, John T.
    Xu, Ellen
    Gardiner, Michael A.
    Burns, Jane C.
    Nemati, Shamim
    Tremoulet, Adriana H.
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [29] Image-Based Neonatal Hyperbilirubinemia Screening after Hospital Discharge
    Dong, Xiaoyue
    Sun, Xiaofan
    Yu, Zhangbin
    Han, Shuping
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2020, 49 (06) : 1079 - 1086
  • [30] An image-based assay for high throughput screening of Giardia lamblia
    Gut, Jiri
    Ang, Kenny K. H.
    Legac, Jennifer
    Arkin, Michelle R.
    Rosenthal, Philip J.
    McKerrow, James H.
    JOURNAL OF MICROBIOLOGICAL METHODS, 2011, 84 (03) : 398 - 405