An image analysis toolbox for high-throughput C. elegans assays

We present a toolbox for high-throughput screening of image-based Caenorhabditis elegans phenotypes. The image analysis algorithms measure morphological phenotypes in individual worms and are effective for a variety of assays and imaging systems. This WormToolbox is available through the open-source CellProfiler project and enables objective scoring of whole-worm high-throughput image-based assays of C. elegans for the study of diverse biological pathways that are relevant to human disease.     

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

Background  

Light microscopy is of central importance in cell biology. The recent introduction of automated high content screening has expanded this technology towards automation of experiments and performing large scale perturbation assays. Nevertheless, evaluation of microscopy data continues to be a bottleneck in many projects. Currently, among open source software, CellProfiler and its extension Analyst are widely used in automated image processing. Even though revolutionizing image analysis in current biology, some routine and many advanced tasks are either not supported or require programming skills of the researcher. This represents a significant obstacle in many biology laboratories.     

CellProfiler: free, versatile software for automated biological image analysis

Careful visual examination of biological samples is quite powerful, but many visual analysis tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use of the open-source software, CellProfiler, to automatically identify and measure a variety of biological objects in images. The applications demonstrated here include yeast colony counting and classifying, cell microarray annotation, yeast patch assays, mouse tumor quantification, wound healing assays, and tissue topology measurement. The software automatically identifies objects in digital images, counts them, and records a full spectrum of measurements for each object, including location within the image, size, shape, color intensity, degree of correlation between colors, texture (smoothness), and number of neighbors. Small numbers of images can be processed automatically on a personal computer and hundreds of thousands can be analyzed using a computing cluster. This free, easy-to-use software enables biologists to comprehensively and quantitatively address many questions that previously would have required custom programming, thereby facilitating discovery in a variety of biological fields of study.     

Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software

There is a strong and growing need in the biology research community for accurate, automated image analysis. Here, we describe CellProfiler 2.0, which has been engineered to meet the needs of its growing user base. It is more robust and user friendly, with new algorithms and features to facilitate high-throughput work. ImageJ plugins can now be run within a CellProfiler pipeline. AVAILABILITY AND IMPLEMENTATION: CellProfiler 2.0 is free and open source, available at http://www.cellprofiler.org under the GPL v. 2 license. It is available as a packaged application for Macintosh OS X and Microsoft Windows and can be compiled for Linux. CONTACT: anne@broadinstitute.org SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

High-Throughput Method for Automated Colony and Cell Counting by Digital Image Analysis Based on Edge Detection

Counting cells and colonies is an integral part of high-throughput screens and quantitative cellular assays. Due to its subjective and time-intensive nature, manual counting has hindered the adoption of cellular assays such as tumor spheroid formation in high-throughput screens. The objective of this study was to develop an automated method for quick and reliable counting of cells and colonies from digital images. For this purpose, I developed an ImageJ macro Cell Colony Edge and a CellProfiler Pipeline Cell Colony Counting, and compared them to other open-source digital methods and manual counts. The ImageJ macro Cell Colony Edge is valuable in counting cells and colonies, and measuring their area, volume, morphology, and intensity. In this study, I demonstrate that Cell Colony Edge is superior to other open-source methods, in speed, accuracy and applicability to diverse cellular assays. It can fulfill the need to automate colony/cell counting in high-throughput screens, colony forming assays, and cellular assays.     

Automatic analysis of silver-stained comets by CellProfiler software

The comet assay is one of the most widely used methods to evaluate DNA damage and repair in eukaryotic cells. The comets can be measured by software, in a semi-automatic or automatic process. In this paper, we apply the CellProfiler open-source software for automatic analysis of comets from digitized images, reporting the percentage of tail DNA. A side-by-side comparison of CellProfiler with CASP software demonstrated good agreement between the two packages. Our work demonstrates that automatic measurement of silver-stained comets with open-source software is possible, providing significant time savings.     

Bright Field Microscopy as an Alternative to Whole Cell Fluorescence in Automated Analysis of Macrophage Images

Background

Fluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and emission spectra of the stains, and phototoxicity.

Methodology

We here present and validate a method to automatically detect cell population outlines directly from bright field images. By imaging samples with several focus levels forming a bright field -stack, and by measuring the intensity variations of this stack over the -dimension, we construct a new two dimensional projection image of increased contrast. With additional information for locations of each cell, such as stained nuclei, this bright field projection image can be used instead of whole cell fluorescence to locate borders of individual cells, separating touching cells, and enabling single cell analysis. Using the popular CellProfiler freeware cell image analysis software mainly targeted for fluorescence microscopy, we validate our method by automatically segmenting low contrast and rather complex shaped murine macrophage cells.

Significance

The proposed approach frees up a fluorescence channel, which can be used for subcellular studies. It also facilitates cell shape measurement in experiments where whole cell fluorescent staining is either not available, or is dependent on a particular experimental condition. We show that whole cell area detection results using our projected bright field images match closely to the standard approach where cell areas are localized using fluorescence, and conclude that the high contrast bright field projection image can directly replace one fluorescent channel in whole cell quantification. Matlab code for calculating the projections can be downloaded from the supplementary site: http://sites.google.com/site/brightfieldorstaining     

Measuring the secretion of heat shock proteins from cells

Heat shock proteins have been shown to be secreted from a number of cell types. Necrotic cells release heat shock proteins in a passive manner, whereas we, and others, have shown that viable cells secrete Hsp70 and Hsp60 through an active mechanism involving lysosomal vesicles and lipid rafts. This release of Hsp70 and Hsp60 is regulated, for example by being increased by elevated temperature. This article outlines procedures, using Hsp70 as the example, to: ensure the status of cells (viable, apoptotic or necrotic); identify the heat shock protein secreted; and quantify the secreted protein. Hsp70 has previously been quantified by ELISA, but newer methods are now being adopted, such as BIAcore and bead-based assays for use by FACS. These methods have the advantages of being more sensitive and requiring less sample than ELISA. The BIAcore has the potential to analyse Hsp70 ligands and provide affinity constants. The FACS bead assay system can be used to run multiplex assays.     

Simultaneous intra- and extracellular superoxide monitoring using an integrated optical and electrochemical sensor system

A new integrated optical and electrochemical sensor system for simultaneous monitoring of intra- and extracellular superoxide (O(2)(-)) was developed using an array-based cell chip. For in vitro assays, A172 human glioblastoma cells were transferred into the cell chip and stimulated by phorbol 12-myristate 13-acetate (PMA). Intracellular O(2)(-) generation was detected via fluorescence image analysis with a dye probe, dihydrorhodamine 123 (DHR 123). Extracellular O(2)(-) was detected using an amperometric sensor constructed by immobilisation of cytochrome c using a binder, 3,3'-dithiobis(sulphosuccinimidylpropionate), to attach the redox protein onto the surface of electrodeposited Au electrodes incorporated into the optically transparent cell chip. The simultaneous intra- and extracellular production of O(2)(-) was successfully observed from PMA-stimulated A172 cells and inhibited by superoxide dismutase (SOD). The quantification of O(2)(-) concentration based on a mathematical model study and possible applications using the sensor system developed were discussed. The results confirm that there was no detectable interference or crosstalk between the optical and electrochemical assays. Feasibility of the integration of the two methods, optical and electrochemical, and the neutralisation of the intra- and extracellular O(2)(-) levels by SOD have been demonstrated.     

Fluorescence and bioluminescence procedures for functional proteomics

This review aims to provide an overview of current optical procedures used in functional proteomics, investigating protein localization, protein-protein interaction, intracellular signaling events, and second messenger generation in living cells. Reporter assays using proteins tagged with fluorescent or bioluminescent moieties are discussed. Recently, intracellular biosensor assays, flow cytometry-based techniques (fluorescent cell barcoding), as well as transfected cell microarray assays involving RNA interference coupled with automated imaging were introduced and have been adopted as screening platforms for annotating small molecules, investigating signaling events, or in phenotype analysis. These novel methodological advances include improved image acquisition and processing techniques and help linking in vitro observations to in vivo processes. In addition, the acquired data are increasingly quantitative in nature and will therefore pave the way for modeling of signaling cascades and other complex cellular events, an important step toward systems biology.     

Cellometer image cytometry as a complementary tool to flow cytometry for verifying gated cell populations

Traditionally, many cell-based assays that analyze cell populations and functionalities have been performed using flow cytometry. However, flow cytometers remain relatively expensive and require highly trained operators for routine maintenance and data analysis. Recently, an image cytometry system has been developed by Nexcelom Bioscience (Lawrence, MA, USA) for automated cell concentration and viability measurement using bright-field and fluorescent imaging methods. Image cytometry is analogous to flow cytometry in that gating operations can be performed on the cell population based on size and fluorescent intensity. In addition, the image cytometer is capable of capturing bright-field and fluorescent images, allowing for the measurement of cellular size and fluorescence intensity data. In this study, we labeled a population of cells with an enzymatic vitality stain (calcein-AM) and a cell viability dye (propidium iodide) and compared the data generated by flow and image cytometry. We report that measuring vitality and viability using the image cytometer is as effective as flow cytometric assays and allows for visual confirmation of the sample to exclude cellular debris. Image cytometry offers a direct method for performing fluorescent cell-based assays but also may be used as a complementary tool to flow cytometers for aiding the analysis of more complex samples.     

High-content assay to study protein prenylation

The mevalonate pathway leads to synthesis of cholesterol and isoprenoid lipids. Prenyltransferases attach the isoprenoid lipids to the C-terminus of several small guanosine triphosphate-binding proteins. The prenyl groups are essential for the biological activity of these proteins. The prenyltransferases and other components of the mevalonate pathway are either present or potential drug targets for cancer, osteoporosis, restenosis, or high serum cholesterol level. Until recently, cellular assays to study protein prenylation have been tedious, low-throughput assays. The authors have developed a high-content imaging-based assay to study protein prenylation. The assay is based on a green fluorescent protein (GFP) reporter, which is tagged with the prenylation motif of human H-Ras. The C-terminus of H-Ras targets GFP to the plasma membrane. When protein prenylation is inhibited, the tagged GFP cannot be localized to plasma membrane but is soluble in the cells. The localization of the GFP reporter can be analyzed in the 96- or 384-well format using automated microscopy and automated image analysis. Information about cell number and nuclear intensity can be obtained from the same images. In compound screening, these readouts provide valuable information about the toxicity of the compounds. The authors have validated their assay using several inhibitors of the mevalonate pathway as well as siRNA against farnesyl pyrophosphate synthase, a critical enzyme in the synthesis of the isoprenoid lipids.     

Forging the link between structure and function of electrogenic cotransporters: the renal type IIa Na+/Pi cotransporter as a case study

Electrogenic cotransporters are membrane proteins that use the electrochemical gradient across the cell membrane of a cosubstrate ion, for example Na⁺ or H⁺, to mediate uphill cotransport of a substrate specific to the transport protein. The cotransport process involves recognition of both cosubstrate and substrate and translocation of each species according to a defined stoichiometry. Electrogenicity implies net movement of charges across the membrane in response to the transmembrane voltage and therefore, in addition to isotope flux assays, the cotransport kinetics can be studied in real-time using electrophysiological methods. As well as the cotransport mode, many cotransporters also display a uniport or slippage mode, whereby the cosubstrate ions translocate in the absence of substrate. The current challenge is to define structure–function relationships by identifying functionally important elements in the protein that confer the transport properties and thus contribute to the ultimate goal of having a 3-D model of the protein that conveys both structural and functional information. In this review we focus on a functional approach to meet this challenge, based on a combination of real-time electrophysiological assays, together with molecular biological and biochemical methods. This is illustrated, by way of example, using data obtained by heterologous expression of the renal Na⁺-coupled inorganic phosphate cotransporter (NaP_i-IIa) for which structure–function relationships are beginning to emerge.     

A multi-functional imaging approach to high-content protein interaction screening

Functional imaging can provide a level of quantification that is not possible in what might be termed traditional high-content screening. This is due to the fact that the current state-of-the-art high-content screening systems take the approach of scaling-up single cell assays, and are therefore based on essentially pictorial measures as assay indicators. Such phenotypic analyses have become extremely sophisticated, advancing screening enormously, but this approach can still be somewhat subjective. We describe the development, and validation, of a prototype high-content screening platform that combines steady-state fluorescence anisotropy imaging with fluorescence lifetime imaging (FLIM). This functional approach allows objective, quantitative screening of small molecule libraries in protein-protein interaction assays. We discuss the development of the instrumentation, the process by which information on fluorescence resonance energy transfer (FRET) can be extracted from wide-field, acceptor fluorescence anisotropy imaging and cross-checking of this modality using lifetime imaging by time-correlated single-photon counting. Imaging of cells expressing protein constructs where eGFP and mRFP1 are linked with amino-acid chains of various lengths (7, 19 and 32 amino acids) shows the two methodologies to be highly correlated. We validate our approach using a small-scale inhibitor screen of a Cdc42 FRET biosensor probe expressed in epidermoid cancer cells (A431) in a 96 microwell-plate format. We also show that acceptor fluorescence anisotropy can be used to measure variations in hetero-FRET in protein-protein interactions. We demonstrate this using a screen of inhibitors of internalization of the transmembrane receptor, CXCR4. These assays enable us to demonstrate all the capabilities of the instrument, image processing and analytical techniques that have been developed. Direct correlation between acceptor anisotropy and donor FLIM is observed for FRET assays, providing an opportunity to rapidly screen proteins, interacting on the nano-meter scale, using wide-field imaging.     

Identification and quantitation of vesivirus 2117 particles in bioreactor fluids from infected Chinese hamster ovary cell cultures

The prevention of adventitious agent contamination is a top priority throughout the entire biopharmaceutical production process. For example, although viral contamination of cell banks or cell cultures is rare, it can result in serious consequences (e.g., shutdown and decontamination of manufacturing facilities). To ensure virus free production, numerous in vivo and in vitro adventitious agent assays and biophysical characterizations such as electron microscopy are conducted on cell banks, raw materials, process materials, and drug substances throughout the manufacturing process. Molecular assays such as PCR and other nucleotide‐based techniques are also routinely used for screening and identification of any viral agents. However, modern techniques in protein identification of complex protein mixtures have not yet been effectively integrated throughout the industry into current viral testing strategies. Here, we report the identification and quantitation of Vesivirus 2117 particles in bioreactor fluid from infected Chinese hamster ovary cell cultures by global protein sequencing using mass spectrometry in combination with multi‐dimensional liquid‐chromatography. Following mass spectrometric data acquisition and rigorous data analysis, six virus specific peptides were identified. These peptides were fragments of two structural proteins, capsid protein pre‐cursor (four unique peptides) and small structural protein (two unique peptides), from the same species: Vesivirus 2117. Using stable heavy isotope‐labeled peptides as internal standards, we also determined the absolute concentration of Vesivirus particles in the bioreactor fluid and the ratio of two capsid proteins (VP1:VP2) in the particles as approximately 9:1. The positive identification of Vesivirus 2117 was subsequently confirmed by RT‐PCR. Biotechnol. Bioeng. 2013; 110: 1342–1353. © 2012 Wiley Periodicals, Inc.     

Chemical toxicity testing in vitro using cytochrome P450-expressing cell lines, such as human CYP1B1

This protocol describes how to use cytochrome P450-dependent monooxygenase (CYP)-expressing cell lines in toxicity testing of chemicals in vitro. Selected cells amenable to permanently grow in culture are genetically manipulated to stably express single CYP enzymes originating from any species of interest. This expression can be characterized by, for example, determining CYP mRNA content, CYP protein level (western blotting or in situ immunofluorescence) and CYP-mediated enzyme activity (substrate conversion assays). These cells can be used to determine substrate specificities and species differences, e.g., in the bioactivation of drugs. Once constructed, CYP-expressing cells can serve as a straightforward and reliable tool in toxicity testing and the corresponding assays could be adapted for high-throughput analysis. Using these cells, enzyme assays can be performed in a matter of hours. This protocol is exemplified with V79 fibroblasts from Chinese hamster (Cricetulus griseus), modified to express human cytochrome P450 1B1 (CYP1B1). These cells are characterized for their CYP1B1-linked properties by in situ immunofluorescence and their activity in the 7-ethoxyresorufin-O-deethylase enzyme assay. This is followed by an assay showing metabolic activation of the polycyclic aromatic hydrocarbon dibenzo[a,l]pyrene by CYP1B1, along with the toxicological endpoints of cytotoxicity and micronucleus formation.     

Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation

Oligonucleotide-targeted RNase H protection assays are powerful means to analyze protein binding domains in ribonucleoprotein particles (RNPs). In such an assay, the RNA component of a RNP and, in an essential control reaction, the corresponding deproteinized RNA are targeted with an antisense DNA oligonucleotide and RNase H. If the oligonucleotide is able to anneal to the complementary sequence of the RNA, RNase H will cleave the RNA within the double-stranded DNA/RNA region. However, protein binding to a specific RNA sequence may prevent hybridization of the DNA oligonucleotide, thereby protecting the RNA molecule from endonucleolytic cleavage. An RNase H protection analysis can usually be carried out with crude cell extract and does not require further RNP purification. On the other hand, purified RNP fractions are preferable when a crude extract contains RNase activity or a heterogenous RNP population of a specific RNA. The cleavage pattern of RNase H digestion can be analyzed by Northern blotting or primer-extension assays. In addition, the investigation of RNP fragments, for example, by native gel electrophoresis, may reveal important structural information about a RNP. In this article, we describe procedures for RNP and RNA preparation, the oligonucleotide-targeted RNase H protection assay, and methods for the analysis of RNA and RNP cleavage products. As an example, we show oligonucleotide-targeted RNase H protection of the Trypanosoma brucei U1 small nuclear RNP.     

Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism

The folding and assembly of proteins is essential for protein function, the long-term health of the cell, and longevity of the organism. Historically, the function and regulation of protein folding was studied in vitro, in isolated tissue culture cells and in unicellular organisms. Recent studies have uncovered links between protein homeostasis (proteostasis), metabolism, development, aging, and temperature-sensing. These findings have led to the development of new tools for monitoring protein folding in the model metazoan organism Caenorhabditis elegans. In our laboratory, we combine behavioral assays, imaging and biochemical approaches using temperature-sensitive or naturally occurring metastable proteins as sensors of the folding environment to monitor protein misfolding. Behavioral assays that are associated with the misfolding of a specific protein provide a simple and powerful readout for protein folding, allowing for the fast screening of genes and conditions that modulate folding. Likewise, such misfolding can be associated with protein mislocalization in the cell. Monitoring protein localization can, therefore, highlight changes in cellular folding capacity occurring in different tissues, at various stages of development and in the face of changing conditions. Finally, using biochemical tools ex vivo, we can directly monitor protein stability and conformation. Thus, by combining behavioral assays, imaging and biochemical techniques, we are able to monitor protein misfolding at the resolution of the organism, the cell, and the protein, respectively.