Automated microscopy for high-content RNAi screening

Fluorescence microscopy is one of the most powerful tools to investigate complex cellular processes such as cell division, cell motility, or intracellular trafficking. The availability of RNA interference (RNAi) technology and automated microscopy has opened the possibility to perform cellular imaging in functional genomics and other large-scale applications. Although imaging often dramatically increases the content of a screening assay, it poses new challenges to achieve accurate quantitative annotation and therefore needs to be carefully adjusted to the specific needs of individual screening applications. In this review, we discuss principles of assay design, large-scale RNAi, microscope automation, and computational data analysis. We highlight strategies for imaging-based RNAi screening adapted to different library and assay designs.

[1]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[2]  Richard J. Prokop,et al.  A survey of moment-based techniques for unoccluded object representation and recognition , 1992, CVGIP Graph. Model. Image Process..

[3]  Paul T. Jackway,et al.  Statistical geometric features-extensions for cytological texture analysis , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[4]  T. Kanda,et al.  Histone–GFP fusion protein enables sensitive analysis of chromosome dynamics in living mammalian cells , 1998, Current Biology.

[5]  A. Fire,et al.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans , 1998, Nature.

[6]  Thomas D. Y. Chung,et al.  A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays , 1999, Journal of biomolecular screening.

[7]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[8]  Sebastian A. Leidel,et al.  Functional genomic analysis of cell division in C. elegans using RNAi of genes on chromosome III , 2000, Nature.

[9]  J. Ellenberg,et al.  Four-dimensional imaging and quantitative reconstruction to analyse complex spatiotemporal processes in live cells , 2001, Nature Cell Biology.

[10]  D. Sabatini,et al.  Microarrays of cells expressing defined cDNAs , 2001, Nature.

[11]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[12]  Robert F. Murphy,et al.  A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells , 2001, Bioinform..

[13]  T. Tuschl,et al.  Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells , 2001, Nature.

[14]  F. Buchholz,et al.  Short RNA duplexes produced by hydrolysis with Escherichia coli RNase III mediate effective RNA interference in mammalian cells , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[15]  George H Patterson,et al.  Photobleaching and photoactivation: following protein dynamics in living cells. , 2003, Nature cell biology.

[16]  J. Ellenberg,et al.  4D imaging to assay complex dynamics in live specimens. , 2003, Nature cell biology.

[17]  Erik Brauner,et al.  Informatics and Quantitative Analysis in Biological Imaging , 2003, Science.

[18]  J. Yates,et al.  Dissection of the Mammalian Midbody Proteome Reveals Conserved Cytokinesis Mechanisms , 2004, Science.

[19]  Kristin C. Gunsalus,et al.  RNAiDB and PhenoBlast: web tools for genome-wide phenotypic mapping projects , 2004, Nucleic Acids Res..

[20]  Lani F. Wu,et al.  Multidimensional Drug Profiling By Automated Microscopy , 2004, Science.

[21]  P. O’Farrell,et al.  Terminal Cytokinesis Events Uncovered after an RNAi Screen , 2004, Current Biology.

[22]  N. Perrimon,et al.  Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cells , 2004, Science.

[23]  T. Tuschl,et al.  Mechanisms of gene silencing by double-stranded RNA , 2004, Nature.

[24]  C. Conrad,et al.  Automatic identification of subcellular phenotypes on human cell arrays. , 2004, Genome research.

[25]  Holger Erfle,et al.  siRNA cell arrays for high-content screening microscopy. , 2004, BioTechniques.

[26]  A. Coulson,et al.  Full-genome RNAi profiling of early embryogenesis in Caenorhabditis elegans , 2005, Nature.

[27]  Michael Boutros,et al.  Identification of JAK/STAT signalling components by genome-wide RNA interference , 2005, Nature.

[28]  Bianca Habermann,et al.  Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis , 2005, Nature.

[29]  Douglas A. Creager,et al.  The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging , 2005, Genome Biology.

[30]  J. Rossi,et al.  Expressing short hairpin RNAs in vivo , 2006, Nature Methods.

[31]  R. Tsien,et al.  The Fluorescent Toolbox for Assessing Protein Location and Function , 2006, Science.

[32]  Nir Hacohen,et al.  Genome-scale loss-of-function screening with a lentiviral RNAi library , 2006, Nature Methods.

[33]  Nir Hacohen,et al.  Minimizing the risk of reporting false positives in large-scale RNAi screens , 2006, Nature Methods.

[34]  F. Buchholz,et al.  Enzymatically prepared RNAi libraries , 2006, Nature Methods.

[35]  Jolanta Szulc,et al.  Tuning silence: conditional systems for RNA interference , 2006, Nature Methods.

[36]  J. Ellenberg,et al.  High-throughput fluorescence microscopy for systems biology , 2006, Nature Reviews Molecular Cell Biology.

[37]  H. Erfle,et al.  High-throughput RNAi screening by time-lapse imaging of live human cells , 2006, Nature Methods.

[38]  Yan Wang,et al.  Genome-wide functional analysis of human cell-cycle regulators , 2006, Proceedings of the National Academy of Sciences.

[39]  Wolfgang Huber,et al.  Analysis of cell-based RNAi screens , 2006, Genome Biology.

[40]  Anastasia Khvorova,et al.  3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets , 2006, Nature Methods.

[41]  L. Lim,et al.  Widespread siRNA "off-target" transcript silencing mediated by seed region sequence complementarity. , 2006, RNA.

[42]  Klaus Hahn,et al.  Digital autofocus methods for automated microscopy. , 2006, Methods in enzymology.

[43]  Norbert Perrimon,et al.  FlyRNAi: the Drosophila RNAi screening center database , 2005, Nucleic Acids Res..

[44]  Anne E Carpenter,et al.  Dynamic proteomics in individual human cells uncovers widespread cell-cycle dependence of nuclear proteins , 2006, Nature Methods.

[45]  Scott E. Fraser,et al.  Imaging in Systems Biology , 2007, Cell.

[46]  H. Erfle,et al.  Reverse transfection on cell arrays for high content screening microscopy , 2007, Nature Protocols.

[47]  P. Schwille,et al.  Fluorescence correlation spectroscopy: novel variations of an established technique. , 2007, Annual review of biophysics and biomolecular structure.

[48]  A. Hyman,et al.  Genome-scale RNAi profiling of cell division in human tissue culture cells , 2007, Nature Cell Biology.

[49]  C. Bakal,et al.  Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology , 2007, Science.

[50]  R. König,et al.  A probability-based approach for the analysis of large-scale RNAi screens , 2007, Nature Methods.

[51]  Peter K. Sorger,et al.  A functional genomic screen identifies a role for TAO1 kinase in spindle-checkpoint signalling , 2007, Nature Cell Biology.

[52]  R. Murphy,et al.  Automated subcellular location determination and high-throughput microscopy. , 2007, Developmental cell.

[53]  Xiaobo Zhou,et al.  Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens , 2008, BMC Bioinformatics.

[54]  Lani F. Wu,et al.  Image-based multivariate profiling of drug responses from single cells , 2007, Nature Methods.

[55]  R. Wollman,et al.  Genes Required for Mitotic Spindle Assembly in Drosophila S2 Cells , 2007, Science.

[56]  H. Erfle,et al.  Production of siRNA- and cDNA-transfected cell arrays on noncoated chambered coverglass for high-content screening microscopy in living cells. , 2007, Methods in molecular biology.

[57]  Norbert Perrimon,et al.  A case study of the reproducibility of transcriptional reporter cell-based RNAi screens in Drosophila , 2007, Genome Biology.

[58]  R. Yu,et al.  Single-cell quantification of molecules and rates using open-source microscope-based cytometry , 2007, Nature Methods.

[59]  Chris Allan,et al.  Open tools for storage and management of quantitative image data. , 2008, Methods in cell biology.

[60]  Karl Mechtler,et al.  BAC TransgeneOmics: a high-throughput method for exploration of protein function in mammals , 2008, Nature Methods.

[61]  Francisco Ciruela,et al.  Fluorescence-based methods in the study of protein-protein interactions in living cells. , 2008, Current opinion in biotechnology.

[62]  Peter G. Schultz,et al.  In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen , 2008, Proceedings of the National Academy of Sciences.

[63]  Min Xu,et al.  Hit selection with false discovery rate control in genome-scale RNAi screens , 2008, Nucleic acids research.

[64]  Holger Erfle,et al.  Work Flow for Multiplexing siRNA Assays by Solid-Phase Reverse Transfection in Multiwell Plates , 2008, Journal of biomolecular screening.

[65]  Ruth R. Montgomery,et al.  RNA interference screen for human genes associated with West Nile virus infection , 2008, Nature.

[66]  Tao Liu,et al.  Parallel RNAi screens across different cell lines identify generic and cell type-specific regulators of actin organization and cell morphology , 2009, Genome Biology.

[67]  Amy E Palmer,et al.  Fluorescent biosensors of protein function. , 2008, Current opinion in chemical biology.

[68]  J. Lieberman,et al.  Identification of Host Proteins Required for HIV Infection Through a Functional Genomic Screen , 2007, Science.

[69]  Polina Golland,et al.  CellProfiler Analyst: data exploration and analysis software for complex image-based screens , 2008, BMC Bioinformatics.

[70]  D. Clapham,et al.  Genome-Wide RNAi Screen Identifies Letm1 as a Mitochondrial Ca2+/H+ Antiporter , 2009, Science.

[71]  D. Gerlich,et al.  Automated live microscopy to study mitotic gene function in fluorescent reporter cell lines. , 2009, Methods in molecular biology.

[72]  P. Distefano,et al.  Genome-Wide RNAi Screen Identifies Letm 1 as a Mitochondrial Ca 2 + / H + Antiporter , 2009 .

[73]  Ken E. Whelan,et al.  The Automation of Science , 2009, Science.

[74]  P. Liberali,et al.  Population context determines cell-to-cell variability in endocytosis and virus infection , 2009, Nature.

[75]  D. Gerlich,et al.  Aurora B-Mediated Abscission Checkpoint Protects against Tetraploidization , 2009, Cell.

[76]  K. Johnsson Visualizing biochemical activities in living cells. , 2009, Nature chemical biology.

[77]  Aideen Long,et al.  Statistical methods for analysis of high-throughput RNA interference screens , 2009, Nature Methods.

[78]  J. Ellenberg,et al.  RNF168 Binds and Amplifies Ubiquitin Conjugates on Damaged Chromosomes to Allow Accumulation of Repair Proteins , 2009, Cell.

[79]  H. Erfle,et al.  Identification of cholesterol-regulating genes by targeted RNAi screening. , 2009, Cell metabolism.

[80]  Jin Zhang,et al.  Fluorescent biosensors for real-time tracking of post-translational modification dynamics. , 2009, Current opinion in chemical biology.

[81]  Xiaobo Zhou,et al.  A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model , 2009, IEEE Transactions on Information Technology in Biomedicine.

[82]  Christian von Mering,et al.  STRING 8—a global view on proteins and their functional interactions in 630 organisms , 2008, Nucleic Acids Res..

[83]  Polina Golland,et al.  Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning , 2009, Proceedings of the National Academy of Sciences.

[84]  William J. Godinez,et al.  Automatic analysis of dividing cells in live cell movies to detect mitotic delays and correlate phenotypes in time. , 2009, Genome research.

[85]  Pauli Rämö,et al.  CellClassifier: supervised learning of cellular phenotypes , 2009, Bioinform..

[86]  R. Durbin,et al.  Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes , 2010, Nature.

[87]  Jan Ellenberg,et al.  Automatic identification and clustering of chromosome phenotypes in a genome wide RNAi screen by time-lapse imaging. , 2010, Journal of structural biology.