Literature DB >> 26777141

Target identification by image analysis.

V Fetz1, H Prochnow2, M Brönstrup3, F Sasse2.   

Abstract

Covering: 1997 to the end of 2015Each biologically active compound induces phenotypic changes in target cells that are characteristic for its mode of action. These phenotypic alterations can be directly observed under the microscope or made visible by labelling structural elements or selected proteins of the cells with dyes. A comparison of the cellular phenotype induced by a compound of interest with the phenotypes of reference compounds with known cellular targets allows predicting its mode of action. While this approach has been successfully applied to the characterization of natural products based on a visual inspection of images, recent studies used automated microscopy and analysis software to increase speed and to reduce subjective interpretation. In this review, we give a general outline of the workflow for manual and automated image analysis, and we highlight natural products whose bacterial and eucaryotic targets could be identified through such approaches.

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Year:  2016        PMID: 26777141     DOI: 10.1039/c5np00113g

Source DB:  PubMed          Journal:  Nat Prod Rep        ISSN: 0265-0568            Impact factor:   13.423


  9 in total

Review 1.  Opportunities and challenges in phenotypic drug discovery: an industry perspective.

Authors:  John G Moffat; Fabien Vincent; Jonathan A Lee; Jörg Eder; Marco Prunotto
Journal:  Nat Rev Drug Discov       Date:  2017-07-07       Impact factor: 84.694

2.  Highly selective inhibition of IMPDH2 provides the basis of antineuroinflammation therapy.

Authors:  Li-Xi Liao; Xiao-Min Song; Li-Chao Wang; Hai-Ning Lv; Jin-Feng Chen; Dan Liu; Ge Fu; Ming-Bo Zhao; Yong Jiang; Ke-Wu Zeng; Peng-Fei Tu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-03       Impact factor: 11.205

3.  Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

Authors:  Germán González; Conor L Evans
Journal:  Bioessays       Date:  2019-05-16       Impact factor: 4.345

4.  Dihydroartemisinin suppresses renal fibrosis in mice by inhibiting DNA-methyltransferase 1 and increasing Klotho.

Authors:  Wei Zhou; Min-Min Chen; Hui-Ling Liu; Zi-Lin Si; Wen-Hui Wu; Hong Jiang; Lin-Xiao Wang; Nosratola D Vaziri; Xiao-Fei An; Ke Su; Cheng Chen; Ning-Hua Tan; Zhi-Hao Zhang
Journal:  Acta Pharmacol Sin       Date:  2022-03-28       Impact factor: 7.169

5.  Synthesis, Biological Evaluation of Fluorescent 23-Hydroxybetulinic Acid Probes, and Their Cellular Localization Studies.

Authors:  Hong Yao; Guoxiang Wei; Yanpeng Liu; Hequan Yao; Zheying Zhu; Wencai Ye; Xiaoming Wu; Jinyi Xu; Shengtao Xu
Journal:  ACS Med Chem Lett       Date:  2018-09-25       Impact factor: 4.345

Review 6.  Screening and identification of novel biologically active natural compounds.

Authors:  David Newman
Journal:  F1000Res       Date:  2017-06-05

7.  A cell-level quality control workflow for high-throughput image analysis.

Authors:  Minhua Qiu; Bin Zhou; Frederick Lo; Steven Cook; Jason Chyba; Doug Quackenbush; Jason Matzen; Zhizhong Li; Puiying Annie Mak; Kaisheng Chen; Yingyao Zhou
Journal:  BMC Bioinformatics       Date:  2020-07-02       Impact factor: 3.169

8.  Data-analysis strategies for image-based cell profiling.

Authors:  Juan C Caicedo; Sam Cooper; Florian Heigwer; Scott Warchal; Peng Qiu; Csaba Molnar; Aliaksei S Vasilevich; Joseph D Barry; Harmanjit Singh Bansal; Oren Kraus; Mathias Wawer; Lassi Paavolainen; Markus D Herrmann; Mohammad Rohban; Jane Hung; Holger Hennig; John Concannon; Ian Smith; Paul A Clemons; Shantanu Singh; Paul Rees; Peter Horvath; Roger G Linington; Anne E Carpenter
Journal:  Nat Methods       Date:  2017-08-31       Impact factor: 28.547

9.  Machine learning approach for discrimination of genotypes based on bright-field cellular images.

Authors:  Godai Suzuki; Yutaka Saito; Motoaki Seki; Daniel Evans-Yamamoto; Mikiko Negishi; Kentaro Kakoi; Hiroki Kawai; Christian R Landry; Nozomu Yachie; Toutai Mitsuyama
Journal:  NPJ Syst Biol Appl       Date:  2021-07-21
  9 in total

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