This quick tour will give you a first impression of Delta2D's many features by showing how to use and analyze the example gel images and data that come with Delta2D. To keep this tour short, we will have to skip many interesting features. However, some of the left-out features will be listed at the end of each section.
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Let us start our quick tour by opening Delta2D. The first shown window is the Project Manager together with a dialog that invites you to open a project. During the start Delta2D provides assistance with a Tip of the Day. You might wish to review the different tips, otherwise simply close this window. Delta2D includes an example project which is named Demonstration. The example project contains six gel images plus one fused image generated by Delta2D. Please select it and press Open. Now you see the example project as a tabular view for gel images arranged in groups.
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You can see the full name of a gel image plus additional information in a tooltip when you point on
its thumbnails. A small icon
in the header indicates whether there is a quantitation result available for
the gel image. Another icon
shows if there are labels attached to this gel image. As a rule, icons will
appear only if data is available. Right clicking on a thumbnail opens a menu that shows the available
operations for this gel image.
Each gel image is represented by a column and a row in the Project Manager's table. In a certain table cell, where the row of one gel image crosses the column of another gel image, Delta2D displays information for each gel image pair. The meaning of the icons is explained in detail in section 4.5. Point on a table cell to see information about the gel image pair. Right clicking on a table cell opens a menu that shows the available operations for this gel image pair.
Drag the border between two thumbnails to make all thumbnails larger or smaller. You can drag the gel images to change the order of the gel images.
The example project contains four groups whose thumbnails are colored in blue, dark orange, light orange and lemon respectively. The first group, the blue one, contains two images, from two control gels. The control gels are made from a sample of Bacillus subtilis under exponential growth. The four gel images in the orange groups are made from the same organism but at other points of time: two after one minute and two after 10 minutes imposition to stress. We have placed all replicates from the same sample into the same group, and you are free to put any number of gel replicates into the same group. The fourth group consists of one special image generated by Delta2D. This is a union fused image, thus condensing information about the spot signals from all other images. Additionally it serves as a simple proteome map since it contains labels with protein identifications.
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At the bottom there is a black line indicating that all spots on the two gel images are perfectly matched (otherwise it would have blue or orange endings).
On top of this match status line you can see the icon
if match vectors exist for this gel image
pair.
The very left icon indicates the warp mode applied to this gel image pair and can look like this:
| | Automatic Warp mode |
| | Exact Warp mode |
| | Global Warp mode |
| | Identical Warp mode and |
| | Implicit Warp mode. |
For a more detailed description of warp modes please refer to section 5.7.
In the example project we have used the exact warp mode and the implicit warp mode only.
In the center of each cell you can see one of the following icons that provide feedback about the project's warping status:
| | These two images can be warped according to the defined direct warp mode, since either no match map is needed (e.g. for warp mode identical if the images come from the same gel) or the match map contains approved match vectors. |
| | If the automatic warp mode is chosen, this icon means that you shall be aware of newly created non-approved match vectors. You should review these match vectors. Furthermore, the icon appears if the match map does not contain approved vectors but the warp mode (e.g. exact warp) needs a match map. |
| | You have specified the implicit warp mode for these two images. Instead of computing a direct warp for these two images, a warping chain of direct warpings via other images needs to be combined. This is not possible, since at least one of the warpings can not be computed. |
| | You have specified the implicit warp mode for these two images. In contrast to the previous icon description now you have defined too many direct warpings. A so called Warping Cycle occurrs, the matching may face conflicts. (For more details on warping cycle please refer to section 5.10) |
In cells where you can't see one of the icons above, everything is fine, there is nothing to do.
As soon as you open a gel image pair in the Gel Image Pair View, the icon
in the top left corner
appears, symbolizing the false colors of the shown dual channel image.
Let us now open a gel image pair view. To do this, place the mouse cursor for example over the table cell in the first row and second column. The tool tip will show the names control_01 and control_02. Click on the button View or double click on the table cell to open a new window that contains a dual channel image of these two gel images.
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At the top you see the menu bar and the tool bar (see figure 2.4). On the left hand side there is a vertical panel with five tool buttons, they are used for activating the Match Vectors, Spots, Edit Spots, Zoom, and Labels tool, respectively. For now, we will only look at the available data, so we don't need to use any of the tools.
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Delta2D's approach to 2D gel images is very innovative compared to traditional software packages. In traditional packages spot detection has to be done before differential analysis of protein patterns, thus carrying spot detection and matching errors into the comparison. This requires time consuming manual correction before you can use the results of the "automatic" spot detection and matching advertised by these packages.
In contrast, Delta2D will find corresponding spots based on the complete image information of the whole experiment, using every pixel from all gel images. Additionally, you can guide this process by fixing a few pairs of corresponding spots by hand. Based on that information, Delta2D removes the variation in spot positions on different gel images, making spot matching much easier and reliable.
The process of matching regions of one image to those on another is done by warping the image. Delta2D's warping algorithms help you to generate dual channel images in which corresponding spots are perfectly overlaid. In the dual channel image, differences in protein expression levels can then be easily recognized. The same technology is applied in the subsequent quantitation step to obtain accurate and reliable spot matching information.
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Having opened the dual image view on control_01 and control_02 you see match vectors that
connect corresponding spots. The warp mode has been set to Exact by choosing Matches
Warp
mode
Exact from the menu or the pull-down menu almost in the center of the tool bar. Now warp the
images by choosing Matches
Warp. This will create a dual channel image similar to figure
2.3.
For better interpretation, you may wish to hide match vectors using the overlay rollup as described in
section 5.2 (use Rollups
Overlays to open the overlays rollup). Clicking one of the small control
buttons will toggle the visibility of the respective objects between three modes: visible, non-visible, and
context controlled visibility.
In the dual channel image orange means that a spot is present only (or much stronger) in the sample gel image, while blue spots are present only (or much stronger) in the master gel image. This enables you to easily identify whole sets of spots with similar or varying expression levels.
Open the Colors rollup using Rollups
Colors. The colored square shows how colors can be
interpreted in the dual channel image (see Figure 2.7). From left to right the intensity of the master
spots is increasing, while the sample spot intensity is increasing from the bottom to the top. The color
code for common background pixels is in the bottom left corner, common pixel of maximum possible
grey intensity (often in saturated spots) have the color of the top right corner. The diagram includes the
color of any possible combination of spot intensities on the master and sample image, as displayed by
Delta2D.
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In Delta2D you have three possibilities to access details in your gel images:
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Delta2D's new SmartVectors Technology can align the gel images automatically. By pressing Find
Match Vectors Delta2D will be initiated to automatically analyze the gel image pair for corresponding
patterns and then display the resulting matchmap. To see what the SmartVectors Technology can do for
gel images in the example project, you will have to remove all match vectors using Matches
Delete.
Use the menu item Matches
Warp Mode
Automatic to set the warp mode to automatic and
Matches
Warp to start the warping process. The computing time will vary depending on your
computer. If you are not satisfied with the result (especially at the gel borders sometimes minor
corrections may be necessary) you can easily add or delete vectors manually when the Match Tool is
activated and then use Matches
Warp again to see the effect. The match vectors are just proposals
until you approve them. You can approve match vectors by selecting them (one-by-one or
dragging a rectangle) and then use the menu item Matches
Approve Selected . When you
press the Find Match Vectors button now for asking Delta2D to automatically find match
vectors again, you will see a dialog for non-approved match vectors where you have
to decide what Delta2D should do with the non-approved match vectors. Having read the
explanation in this dialog you will understand that you have two options to improve the matchmap
iteratively:
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Read more at www.decodon.com/Support/Howto/SmartVectors.html
Using dual channel images one can quickly gain valuable information about changed spots. However, for many applications, the quantitation of spots is required to enable quantitative analysis. The data are obtained in three steps:
In traditional packages for the analysis of 2D gel images, these steps are error-prone and require extensive manual corrections. Delta2D tries to automate the analysis as far as possible, leading faster to results with higher reproducibility.
Spot detection is done automatically, controlled by a few parameters. Any "spot painting" or "trimming" by hand is obsolete. Quantitation is also done automatically – with only one parameter which is necessary for background subtraction.
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The tables may seem a bit overwhelming at first because they display a lot of information. However, you can easily customize them, e.g. by rearranging or hiding columns, or by sorting and filtering rows. To continue please select the all gel images tab on the buttom of the table.
Now let us sort the table by the relative volume of the master spots. Just click onto the

of the column header. A small arrow indicates the sort order, click again to sort in reverse order.
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Select one of the rows by clicking on it. Notice how the corresponding spot segments on the master and sample gel images are highlighted. By dragging the mouse over consecutive rows, you can select them as well. It is also possible to select a spot in the Gel Image Pair View by clicking on its boundary or center. The corresponding row in the table will be selected automatically.
As an example, we want to see expression profiles only where the spots of the gel image
group "1 min" have an expression ratio of less than 0.5 or more than 2 compared to the
"control" group. First make sure that the statistic table is visible (Refer the tabs on the buttom
and select statistics). Choose the filter from the menu: Filter
Ratios
ratio '1 min' /
'control'.
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The button in the header of the filtered column has changed from Filter... to a short description of the filter. Leave your mouse pointer over the button for a while for a tool tip containing the filter definition. Click on a column's filter button to access the filter diaolog.
Filters can be combined to implement more complex criteria, such as "show all expression ratios of well reproduced spots (relative standard deviation rsd within a group of less then 30%), with expression ratios (based on the mean of the groups' normalized volumes) below 0.5 and above 2, and with spots that contain a normalized volume (%V) of at least 0.02."
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Delta2D allows you to place labels anywhere on a gel image – independently from spot locations. You can use them to annotate spots and to control spot picking. Also labels can be used for pI and MW determination of defined positions within a gel. Labels can be transferred from one gel to the another, Delta2D will place them in the right position automatically, using the same alignment that produces the dual channel image. Managing master gel images containing spot identifications is easy – a single click will transfer labels from and to the master gel image. You can change label formats according to your preferences. Label data and formats are saved in XML files that can be easily processed by other applications.
The example project includes some labels for the proteome map basing on the fusion gel (lemon group). They are displayed on the gel image view as well as in the quantitation tables. To see which labels exist, open the quantitation table for the fusion gel and click on the label column header to sort spots by label name. The spots with labels will now head the table.
You can place labels on either of the gel images shown in the Gel Image Pair View. Usually, labels for both gel images will be displayed together on the dual view, but with a different look.
To start creating labels, select the label tool in the tool bar of the Gel Image Pair View (see figure 2.13).
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To change the text of the label, click once inside the label and start typing. Press Enter to stop editing. By pressing Escape, the changes you have made will be discarded.
You can move a label's text around by dragging it with the mouse. See how the line is placed automatically into the corners or in the middle of the label's border. When the label is sufficiently near the target, the line will be hidden in order to make the display simpler.
When you want to change the label's target you can drag the line to move the whole label to the desired place. By default, the label will snap to spot centers when you drag it around. Hold down the Ctrl key to switch off the snapping.
Right click on a label to get its context menu (see figure 2.15).
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In the context menu you see whether the label is in the master or in the sample image. Newly created labels are always placed on the master image. Select Move to Sample to move a label to the sample gel. The label's format will be usually changed when you move it to another gel.
When both gel images are connected by a match map, the label will be moved according to that match map. Say, your label is placed on the master image and you have loaded a match map for master and sample image. Then you place the label inside a master spot. When you move the label to the sample gel, Delta2D will move it to the point that corresponds to the master spot. This behavior allows you to collect labels from many different gel images, which is especially useful when you want to produce a proteome map containing protein identifications. See 7.5 for details. For collecting labels it is very convenient to use the fusion gel.
Delta2D keeps your projects organized by putting all relevant data in one location – the gel pool, a central repository for all your gel images and associated data such as labels, quantitation results and match maps. You can use the Project Manager to access and organize data in the pool. Behind the scenes, Delta2D updates the pool data every time you make a change to the project.
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When you have opened a gel image view window, its displayed region will determine the first region shown in the Gel Image Regions window. Within the gel image regions window you can navigate the regions synchronously, zoom in or out, and control the visibilty of spot boundaries, background, and labels as well as the application of the histogram settings as they are defined in the gel image views.
Furthermore, you can balance the gel image regions using the button for equilization to have better comparable view on the image regions. Remove a gel from the Gel Regions View by hiding it from the All gel images table in the Quantitation Table(see section 8.1).
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Delta2D lets you generate reports about your analysis project with a single click (see Figure 2.19). Open
a quantitation table and choose File
Generate report in Excel to produce an Excel worksheet
that contains the currently visible data in the table, plus an extensive set of diagrams and
statistics. You need to have Excel, versions 2000 (9), XP (10), or 2003 (11) installed to use this
feature.
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You can create a PowerPoint slide that includes everything you see in the gel image view: images, spots,
and labels (Figure 2.20). In the Gel Image Pair view, use View
Export To PowerPoint to produce a
PowerPoint slide that contains the currently visible objects in the gel image view. These objects are fully
editable inside PowerPoint. You need to have PowerPoint version 2000, XP, or 2003 installed to use this
feature.
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