Spatial normalization of one-dimensional electrophoretic gel images

A strategy for using processed, digitized images of one-dimensional electrophoretic gels to facilitate the analysis of large sets of overlapping clones is described. The images are acquired from fluorescently stained gels or from transilluminated gel photographs using a cooled, solid-state charge-coupled device camera. By employing sets of bands in the size-standard lanes as reference points, all the gel images are spatially normalized to a common reference template. After normalization, lane images from different gels can be compared as though the gels had been electrophoresed under identical, uniform-field conditions. Applications of this procedure to the analysis of a large set of overlapping lambda clones from chromosome VII of Saccharomyces cerevisiae and to the estimation of fragment sizes are illustrated.     

Ultraviolet imaging densitometry of unstained gels for two-dimensional electrophoresis

A system suitable for ultraviolet imaging densitometry of two-dimensional electrophoretic gels that are unstained is described, together with its applications. A flying-spot densitometer linked with a personal computer was used for data acquisition, generation of mapping data, and image processing. Randomly distributed zones of proteins on two-dimensional gels were detected at 280 nm without being stained by two-dimensional scanning, and the densitometric value of each pixel (0.2 x 0.2 mm) was memorized by the computer, which generated a mapping pattern with density contours. The amount and densitometric value of cytochrome c had a linear relationship in the range of 2-200 micrograms. Zone locations of bovine liver proteins separated on two-dimensional gels were indicated on a map expressed in X-Y coordinates, and the pIs and molecular weights could be calculated from the map by use of pI and molecular weight markers on the same gel.     

Using standard positions and image fusion to create proteome maps from collections of two-dimensional gel electrophoresis images

Databases for two-dimensional protein gels pose new challenges in extracting meaningful information from large numbers of experiments. In order to create expression profiles, positions of corresponding protein spots across all gel images have to be established. In larger gel sets errors may accumulate rapidly during this spot matching process, effectively limiting the number of samples available for data mining. Here we present a novel approach for organizing spot data based on the concept of a standard position for a protein species. Standard positions are meaningful average positions that are determined using all occurrences of a protein species. They can be extended to spots that are not annotated via interpolation. The standard position of a spot can serve as a unifying index across all gels in a database, thus allowing creation and analysis of expression profiles that span the whole collection. The standard position gives a much more accurate estimation of a spot's position on a gel than can be obtained using theoretical isoelectric point and molecular weight. Positional indexing is a complement to a priori identifications (e.g. by mass spectrometry or Edman degradation). Moreover it can be used in advance to select spots that are worth identifying because they show relevant expression profiles. Furthermore, we show how to combine all spots that occur on any of the gels into one synthetic but nevertheless realistic-looking image. This composite image is produced such that all spots have their standard positions. It can serve as a proteome reference map for an organism. As an application, we have computed a reference map from 23 gel images of Bacillus subtilis, using an enhanced prerelease version of the gel analysis software Delta2D (DECODON, Greifswald, Germany).     

Labolmage: a workstation environment for research in image processing and analysis

Numerous images are produced daily in biomedical research. Inorder to extract relevant and useful results, various processingand analysis steps are mandatory. The present paper describesa new, powerful and user-friendly image analysis system: Labolmage.In addition to standard image processing modules, Labolmagealso contains various specialized tools. These multiple processingmodules and tools are first introduced. A one-dimensional gelanalysis method is then described. The new concept of ‘normalizedvirtual one-dimensional gel’ is introduced, making comparisonsbetween gels particularly easy. This normalized gel is obtainedby compensating for the bending of the lanes automatically;no information loss is incurred in the process. Finally, themodel of interaction in a multi-window environment is discussed.Labolmage is designed to run in two ways: interactively, usingmenus and panels; and in batch mode by means of user-definedmacros. Examples are given to illustrate the potentialitiesof the software. Received on August 27, 1990; accepted on November 15, 1990     

Specialized software product for comparative analysis of multicomponent DNA fingerprints

GelAnalyzer software, which is used to identify and correctly compare DNA fingerprints consisting of a large number of discrete bands, has been developed by the project to study the quantitative changes in DNA polymorphism patterns in animals and humans exposed to gamma radiation. The actual capabilities of this program are much broader and include the possibility to analyze the images of any multicomponent gels containing fragments of DNA, RNA, and proteins. This software product runs on Windows. GelAnalyzer allows one to analyze gel images obtained by a scanner, camera, or digital camera and ensures the visual control of the identification and comparative analysis of bands; it also makes it possible to take into account the bands that are poorly identified automatically and exclude the artifacts (incidental marks) on images. The operation of GelAnalyzer software is based on the determination of the values of normalized coordinates of bands with allowance for the relative electrophoretic mobility (Rf) of PCR products and comparison of their spectra (set of bands in gel lanes) to reveal the similarities or differences in their components with subsequent statistical data processing and display the results of the analysis.     

Imaging technologies for the detection of multiple stains in proteomics

Laser-based scanners and charge-coupled device (CCD) camera systems are evolving to have greater functional capabilities for capturing images from a range of staining technologies used in gel electrophoresis and electroblotting. Digitizing Coomassie Brilliant Blue (CBB) stained gels and silver stained gels has now become possible using a laser-based gel scanner, the FLA-5000 fluorescent image analyzer system. Also, a simultaneous dual fluorescent imaging function has been incorporated into the FLA-5000 system, utilizing dichroic mirrors with both the optical system and the emission filter. In the workflow of routine proteomics research, the relationship between SYPRO dye staining and fluorescent detection using the FLA-5000 system have become symbiotic. Additionally in many cases, subsequent staining of the gel with CBB is useful for future research, and thus imaging instruments should be able to handle both staining formats. Digitizing the CBB stained gel can now be easily performed by the FLA-5000 fluorescent image analyzer system using a fluorescent board as an epi-illumination background. A cooled CCD camera system has the potential of imaging not only chemiluminescent membranes but also digitizing molecular weight markers and fluorescent detection of SYPRO dye-stained gels. With Multi Gauge software version 2.0 it is now a simple task to combine two images into one, as commonly required in dual detection experiments. The LAS-3000 system was designed to capture chemiluminescent images and to digitize the images automatically. Thus, new capabilities added to gel imaging systems make them capable of detecting and displaying multiple signals more conveniently.     

蛋白质双向电泳图像分析

随着人类基因组计划的接近完成,蛋白质组（proteome）研究成为新的热点.其中高分辨率的双向电泳（two-dimensional gel electrophoresis, 2-DE）技术使对组织或细胞的整个蛋白质组的综合分析成为可能.近年来这一技术有了很大的改进和提高,特别是图像分析系统,算法更为先进,功能日益强大,操作也更简便,为大规模研究提供了良好的工具.使用新一代的2D图像分析系统,对离体培养的雪旺氏细胞的蛋白质样品双向电泳结果进行了初步分析,探讨了在图像扫描、点检测、背景消除、匹配、结果报告和数据分析各步中的技术问题,并报告了进行2D图像分析的体会.     

Electrophoretic separation of large proteoglycans in large-pore polyacrylamide gradient gels (1.32-10.0% T) and a one-step procedure for simultaneous staining of proteins and proteoglycans.

A procedure is described for the preparation of 1.32-10% polyacrylamide gradient gels. Loose polyacrylamide gel on the top side of the gradient was stabilized with a layer of 0.4% agarose gel which also formed sample wells. The upper limit of separation achieved in these gels was estimated to be approximately 2 X 10(6) using globular protein standards. However, large aggregating proteoglycans from cartilage which have a molecular weight range of 1-4 X 10(6) penetrate and separate in these gels. A simple one-step procedure is also described for simultaneous staining of proteins and large proteoglycans in polyacrylamide gels.     

Examination of 2-DE in the Human Proteome Organisation Brain Proteome Project pilot studies with the new RAIN gel matching technique

The Human Proteome Organisation (HUPO) Brain Proteome Project (BPP) pilot studies have generated over 200 2-D gels from eight participating laboratories. This data includes 67 single-channel and 60 DIGE gels comparing 30 whole frozen C57/BL6 female mouse brains, ten each at embryonic day 16, postnatal day 7 (juvenile) and postnatal day 54-56 (adult); and ten single-channel and three DIGE gels comparing human epilepsy surgery of the temporal front lobe with a corresponding post-mortem specimen. The samples were generated centrally and distributed to the participating laboratories, but otherwise no restrictions were placed on sample preparation, running and staining protocols, nor on the 2-D gel analysis packages used. Spots were characterised by MS and the annotated gel images published on a ProteinScape web server. In order to examine the resultant differential expression and protein identifications, we have reprocessed a large subset of the gels using the newly developed RAIN (Robust Automated Image Normalisation) 2-D gel matching algorithm. Traditional approaches use symbolic representation of spots at the very early stages of the analysis, which introduces persistent errors due to inaccuracies in spot modelling and matching. With RAIN, image intensity distributions, rather than selected features, are used, where smooth geometric deformation and expression bias are modelled using multi-resolution image registration and bias-field correction. The method includes a new approach of volume-invariant warping which ensures the volume of protein expression under transformation is preserved. An image-based statistical expression analysis phase is then proposed, where small insignificant expression changes over one gel pair can be revealed when reinforced by the same consistent changes in others. Results of the proposed method as applied to the HUPO BPP data show significant intra-laboratory improvements in matching accuracy over a previous state-of-the-art technique, Multi-resolution Image Registration (MIR), and the commercial Progenesis PG240 package.     

Replica images of silver-stained gels using direct duplicating film

A procedure for preparing duplicate images of polyacrylamide gels containing silver-stained proteins using X-ray direct duplicating film is described. Resulting images are shown to be qualitatively and quantitatively faithful representations of the original gel.     

Protein patterns obtained from support-bound gels by combining the images at different stages of destaining

A more informative method for the visualization of proteins on thin-layer gels, based on combining the images of the gel at different stages of destaining, is presented. It is useful whenever important information seems to be lost after prolonged destaining. The method, which makes it unnecessary to run different loads in different channels, has been developed utilizing isoelectric focusing on polyester film-bound agarose gels. The strongly destained gel is superimposed on a negative image of the same gel made at an earlier phase of destaining, thus showing white spots on a gray background for minor components and dark bands in a white field surrounded by the grey background for the abundant ones. In general, the method may be applied to gel images obtained by different staining procedures.     

High sensitivity quantification of RNA from gels and autoradiograms with affordable optical scanning.

To increase sensitivity and to improve normalization of RNA levels in Northern blot analysis, a comparatively inexpensive optical scanner was utilized for digitizing photonegatives of ethidium bromide stained gels and autoradiograms. The optical scanner captures the image with a maximum resolution of 300 dots per inch by assigning one of 256 gray levels (8-bit) to each dot in the image. With the use of the public domain NIH Image program (requires a Macintosh II and an 8-bit video card), gel or autoradiogram bands in the digitized image are selected and their average gray scale density measured. We found that the digitized image of a photonegative of a TAE (Tris-acetate/EDTA) agarose gel, loaded incrementally with 50-1500 ng total RNA, produced a linear response over a 4-fold range down to 100 ng (R2 greater than 0.950). In utilizing "quantification" gels like this, RNA samples that are too dilute or too small for traditional spectrophotometric techniques can be normalized and loaded uniformly onto subsequent Northern gels. Results from autoradiogram scans demonstrate highly linear gray scale responses over a 4-fold range of total RNA (R2 greater than 0.950) that are reproducible with different blots and probe types (e.g., riboprobe, cDNA and oligonucleotide). In addition, we describe a normalization technique using a 30-mer oligonucleotide probe for rat 28S ribosomal RNA as a measure of total RNA loaded per gel lane. Altogether, this scanning, ribosomal RNA normalization system allows the measurement of relative changes between 20% and 400% using standard autoradiographic methods.     

Flickering as an early warning signal

Most work on generic early warning signals for critical transitions focuses on indicators of the phenomenon of critical slowing down that precedes a range of catastrophic bifurcation points. However, in highly stochastic environments, systems will tend to shift to alternative basins of attraction already far from such bifurcation points. In fact, strong perturbations (noise) may cause the system to “flicker” between the basins of attraction of the system’s alternative states. As a result, under such noisy conditions, critical slowing down is not relevant, and one would expect its related generic leading indicators to fail, signaling an impending transition. Here, we systematically explore how flickering may be detected and interpreted as a signal of an emerging alternative attractor. We show that—although the two mechanisms differ—flickering may often be reflected in rising variance, lag-1 autocorrelation and skewness in ways that resemble the effects of critical slowing down. In particular, we demonstrate how the probability distribution of a flickering system can be used to map potential alternative attractors and their resilience. Thus, while flickering systems differ in many ways from the classical image of critical transitions, changes in their dynamics may carry valuable information about upcoming major changes.     

Low-cost conversion of the Polaroid MD-4 land camera to a digital gel documentation system

A simple, inexpensive design is presented for the rapid conversion of the popular MD-4 Polaroid land camera to a high quality digital gel documentation system. Images of ethidium bromide stained DNA gels captured using the digital system were compared to images captured on Polaroid instant film. Resolution and sensitivity were enhanced using the digital system. In addition to the low cost and superior image quality of the digital system, there is also the added convenience of real-time image viewing through the swivel LCD of the digital camera, wide flexibility of gel sizes, accurate automatic focusing, variable image resolution, and consistent ease of use and quality. Images can be directly imported to a computer by using the USB port on the digital camera, further enhancing the potential of the digital system for documentation, analysis, and archiving. The system is appropriate for use as a start-up gel documentation system and for routine gel analysis.     

Hierarchical analysis of large-scale two-dimensional gel electrophoresis experiments

Large-scale two-dimensional gel experiments have the potential to identify proteins that play an important role in elucidating cell mechanisms and in various stages of drug discovery. Such experiments, typically including hundreds or even thousands of related gels, are notoriously difficult to perform, and analysis of the gel images has until recently been virtually impossible. In this paper we describe a scalable computational model that permits the organization and analysis of a large gel collection. The model is implemented in Compugen's Z4000 system. Gels are organized in a hierarchical, multidimensional data structure that allow the user to view a large-scale experiment as a tree of numerous simpler experiments, and carry out the analysis one step at a time. Analyzed sets of gels form processing units that can be combined into higher level units in an iterative framework. The different conditions at the core of the experiment design, termed the dimensions of the experiment, are transformed from a multidimensional structure to a single hierarchy. The higher level comparison is performed with the aid of a synthetic "adaptor" gel image, called a Raw Master Gel (RMG). The RMG allows the inclusion of data from an entire set of gels to be presented as a gel image, thereby enabling the iterative process. Our model includes a flexible experimental design approach that allows the researcher to choose the condition to be analyzed a posteriori. It also enables data reuse, the performing of several different analysis designs on the same experimental data. The stability and reproducibility of a protein can be analyzed by tracking it up or down the hierarchical dimensions of the experiment.     

A multiple high-resolution mini two-dimensional polyacrylamide gel electrophoresis system: imaging two-dimensional gels using a cooled charge-coupled device after staining with silver or labeling with fluorophore.

A multiple mini two-dimensional electrophoretic method which results in three two-dimensional protein spot patterns being positioned side by side in an individual gel has been developed. Preparation time has been minimized by employing disposable capillary tubes for the isoelectric focusing gels and reducing the number of second-dimensional gels required. Commercially available vertical slab units were used for the second-dimensional electrophoresis. The protein spot patterns were visualized either by staining the second-dimensional gel with silver or fluorescently labeling the focused proteins while present in the isoelectric focusing gel and subsequently electrophoresing them into the second-dimensional gel. The fluorescently labeled second-dimensional gel was imaged while still present in the glass mold immediately following electrophoresis. Two fluorophores were compared: 2-methoxy-2,4-diphenyl-3(2H)-furanone and 5-(4,6-dichlorotriazin-2-yl)aminofluorescein hydrochloride. A rapid imaging system based on a cooled charge-coupled device was used to view both the silver-stained and fluorescently labeled two-dimensional spot patterns. The sensitivity of detection of protein spots in the mini two-dimensional gels was similar for the two types of fluorescently labeled gels and the silver-stained gels.     

A two dimensional model for saccade generation

A model for the generation of oblique saccades is constructed by extending and modifying the one dimensional local feedback model. It is proposed that the visual system stores target location in inertial coordinates, but that the feedback loop which guides saccades works in retinotopic coordinates. To achieve straight trajectories for centripetal and centrifugal saccades in all meridians, a comparator computes motor error as a vector and uses the vectorial error signal to drive two orthogonally-acting burst generators. The generation of straight saccade trajectories when the extraocular muscles are of unequal strengths requires the introduction of a burst-tonic cell input to motor neurons. The model accounts for the results of two-site stimulation of the superior colliculus and frontal eye fields by allowing simultaneous activation of more than one comparator. The postulated existence of multiple comparators suggests that motor error may be computed topographically.     

人肺巨细胞癌蛋白质组的二维电泳和计算机图象分析

为优化用于蛋白质组研究的二维电泳技术和计算机图象分析技术 ,以及初步分析比较与肿瘤细胞转移相关的蛋白质 ,以人肺巨细胞癌 (PLA- 80 1 - D、C)高、低转移株作为研究对象 ,应用 IPG-phor进行第一向等电聚焦 ,随后 ,在 Protein IPG conversion Kit上进行垂直 SDS- PAGE的分离 .利用光密度仪对银染的凝胶扫描 ,通过 PDQuest软件进行蛋白斑点检测和配比 .结果表明 :(1 )应用 IPGphor,采用样品直接加入重泡胀溶液的形式 ,增大了溶解性 ,缩短聚焦时间、增大样品负荷量 (分析型 ) ,提高了分辨率 .(2 )比较宽 (p H=3～ 1 0 L)、窄 (p H=4～ 7L)范围 IPG胶条 ,窄 p H范围的 IPG胶条具有较高的分辨率 .(3)比较 PLA- 80 1 - C、D细胞蛋白图谱之间的差异 ,其相关系数为 0 .7339± 0 .0 2 91 ;仅在 PLA- 80 1 - C株出现的蛋白为 1 79个 .     

Protein spot detection and quantification in 2-DE gel images using machine-learning methods

Two-dimensional gel electrophoresis (2-DE) is the most established protein separation method used in expression proteomics. Despite the existence of sophisticated software tools, 2-DE gel image analysis still remains a serious bottleneck. The low accuracies of commercial software packages and the extensive manual calibration that they often require for acceptable results show that we are far from achieving the goal of a fully automated and reliable, high-throughput gel processing system. We present a novel spot detection and quantification methodology which draws heavily from unsupervised machine-learning methods. Using the proposed hierarchical machine learning-based segmentation methodology reduces both the number of faint spots missed (improves sensitivity) and the number of extraneous spots introduced (improves precision). The detection and quantification performance has been thoroughly evaluated and is shown to compare favorably (higher F-measure) to a commercially available software package (PDQuest). The whole image analysis pipeline that we have developed is fully automated and can be used for high-throughput proteomics analysis since it does not require any manual intervention for recalibration every time a new 2-DE gel image is to be analyzed. Furthermore, it can be easily parallelized for high performance and also applied without any modification to prealigned group average gels.