Literature DB >> 17637778

Image-based chemical screening.

Anne E Carpenter1.   

Abstract

Technological advances have made it feasible to conduct high-throughput small-molecule screens based on visual phenotypes of individual cells, using automated imaging and analysis. These screens are rapidly moving from being small, proof-of-principle tests to robust and widespread screens of hundreds of thousands of compounds. Automated imaging screens maximize the information obtained in an initial screen and improve the ability to select high-quality leads. In this Perspective, I highlight the key steps necessary for conducting a high-throughput image-based chemical compound screen.

Mesh:

Year:  2007        PMID: 17637778     DOI: 10.1038/nchembio.2007.15

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  43 in total

1.  Giving Rho(d) directions.

Authors:  Markus K Muellner; Sebastian M B Nijman
Journal:  Nat Chem Biol       Date:  2010-06       Impact factor: 15.040

2.  Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning.

Authors:  Thouis R Jones; Anne E Carpenter; Michael R Lamprecht; Jason Moffat; Serena J Silver; Jennifer K Grenier; Adam B Castoreno; Ulrike S Eggert; David E Root; Polina Golland; David M Sabatini
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

3.  Identifying the proteins to which small-molecule probes and drugs bind in cells.

Authors:  Shao-En Ong; Monica Schenone; Adam A Margolin; Xiaoyu Li; Kathy Do; Mary K Doud; D R Mani; Letian Kuai; Xiang Wang; John L Wood; Nicola J Tolliday; Angela N Koehler; Lisa A Marcaurelle; Todd R Golub; Robert J Gould; Stuart L Schreiber; Steven A Carr
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-02       Impact factor: 11.205

4.  Fast fluorescence microscopy for imaging the dynamics of embryonic development.

Authors:  Julien Vermot; Scott E Fraser; Michael Liebling
Journal:  HFSP J       Date:  2008-05-13

5.  Raman spectroscopy of synovial fluid as a tool for diagnosing osteoarthritis.

Authors:  Karen A Esmonde-White; Gurjit S Mandair; Farhang Raaii; Jon A Jacobson; Bruce S Miller; Andrew G Urquhart; Blake J Roessler; Michael D Morris
Journal:  J Biomed Opt       Date:  2009 May-Jun       Impact factor: 3.170

6.  Lysate microarrays enable high-throughput, quantitative investigations of cellular signaling.

Authors:  Mark Sevecka; Alejandro Wolf-Yadlin; Gavin MacBeath
Journal:  Mol Cell Proteomics       Date:  2011-02-04       Impact factor: 5.911

7.  Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment.

Authors:  Vebjorn Ljosa; Peter D Caie; Rob Ter Horst; Katherine L Sokolnicki; Emma L Jenkins; Sandeep Daya; Mark E Roberts; Thouis R Jones; Shantanu Singh; Auguste Genovesio; Paul A Clemons; Neil O Carragher; Anne E Carpenter
Journal:  J Biomol Screen       Date:  2013-09-17

8.  A spectral graph theoretic approach to quantification and calibration of collective morphological differences in cell images.

Authors:  Yu-Shi Lin; Chung-Chih Lin; Yuh-Show Tsai; Tien-Chuan Ku; Yi-Hung Huang; Chun-Nan Hsu
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

9.  Introduction to the quantitative analysis of two-dimensional fluorescence microscopy images for cell-based screening.

Authors:  Vebjorn Ljosa; Anne E Carpenter
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

10.  Enhanced CellClassifier: a multi-class classification tool for microscopy images.

Authors:  Benjamin Misselwitz; Gerhard Strittmatter; Balamurugan Periaswamy; Markus C Schlumberger; Samuel Rout; Peter Horvath; Karol Kozak; Wolf-Dietrich Hardt
Journal:  BMC Bioinformatics       Date:  2010-01-14       Impact factor: 3.169

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