Note: This illustration was presented using caArray version 2.3.1.
Depending on the version you use, the screen layouts may be slightly different, however, the basic design and the steps are similar.
Before logging in to the caArray application, please download the sample array design file Image_Hu6800.zip, and the sample experiment data file Image_caArray_golub-00095_files.zip, if you have not already done so. You may unzip the design file to get Hu6800.cdf, but do not extract the sample data file caArray_golub-00095_files.zip.
Step 1: Design File Upload
Step 1.1.
Log into the caArray Application. Click the "MANAGE ARRAY DESIGNS" button under "CURATION" on the left side of the Welcome page.
A new page, "Manage Array Designs", opens. Before uploading the design file, check if your application already has a copy of the design file by the same name. If yes, skip the design file upload and proceed to #Step 2 Experiment Data File Upload. You can use this design file for your experiment. If not, follow Step 1.2 to upload a new design file.
caArray Data Portal Welcome Page
Manage Array Designs Page
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Steps 1.2
On the "Manage Array Designs" page, click the "Import a New Array Design" button. Another page, "New Array Design (Step 1)", opens. Fill out the "New Array Design" form with Description (Affymetrix Hu6800 Sample Arrya Design in the example); Selected Assay Type (Gene Expression is selected in the example); Provider (here Affymetrix); Version number (here 1.0); Feature Type (in_situ_oligo_features (MO) in the example); and Organism (Homo sapiens (ncbitax) in the example). Then click "Next".
*Manage Array Designs Page with Import a New Array Design Button"
New Array Design (Step 1) Page with Form Completed
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Step 1.3
The page "New Array Design (Step 2)" opens. Click the "Browse" button. Browse to the location where the sample array design file (Hu6800.cdf) was unzipped. Then click "Save". See Fig 1.4 and Fig 1.5.
New Array Design (Step 2) Page with Browse Button
New Array Design (Step 2) Page with Save Button
Step 1.4
On clicking the "Save" button, the screen shown in Fig 1.6 opens. Click "Close window and go to Manage Array Designs". The "Manage Array Designs" re-opens, as shown in Fig 1.1b (c). (Please note that for large array design files, the importing process might take a while. An array design can only be used when it is fully imported.)
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Step 2 Experiment Data File Upload
Step 2.1
Click the "CREATE/PROPOSE EXPERIMENT" button under "EXPERIMENT MANAGEMENT" on the left side menu bar. The "Overall Experiment Characteristics" screen opens. See Fig 2.2.
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Step 2.2
Fill out the form with the information shown in Fig 2.2. You can use your own description or use the sample text displayed below. Make sure "Array Designs" field is selected with the right platform (highlighted in blue). Click the "Save" button.
Sample Text:
Title: Diffuse large B-cell lymphoma outcome prediction
Description: Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention. **NOTE: Migrated from caArray 1.x, identifier='gov.nih.nci.ncicb.caarray:Experiment:1015897558868337:1'.
Step 2.3
The screen shown in Fig 2.3 opens. Check for the "Experiment has been successfully saved" message. Click the "Contacts" tab. Fill the form with your information. You can also edit the contact information from the screen shown in Fig 2.4.
Step 2.4
Click the "Data" tab. Then Click the "Upload New File(s)" button, see Fig 2.5. A new popup window, "Experiment Data Upload" window opens, see Fig 2.6.
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Step 2.5
Browse to the location where the sample experiment Data file (caArray_golub-00095_files.zip) was saved and click on the "Upload" button, see Fig 2.6.
Step 2.6
Wait until the window "Your file upload is complete" is displayed. Click "OK" (Fig 2.7). Then click the "Close Window and go to Experiment Data" button as shown in Fig 2.7.
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Step 2.7
On the main window shown below (Fig2.8), make sure the column "STATUS" displays the word "Uploaded" for each file. Select the check boxes for all experiment data sets and then click on "Import" button. A new window "Import Options" opens (Fig2.9). Select the first option "Autocreate annotation sets...", then click on the "Import" button.
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Step 2.8
Depending on the speed of the machine and the size of the data, it may take a few minutes for the sample data to be imported. Check the status of the import by Clicking on the "Refresh Status" button (Fig2.10). The initial status will be shown as "In queue" (Fig2.10). When the import is complete, no data will be displayed under the "Manage Data" tab (Fig2.11). Click on the "Imported Data" tab to view imported data file (Fig2.12). If you completed all these steps, Congratulations! You have just successfully created an experiment and deposited your microarray experiment data into the caArray.
Step 2.9
To make the experiment data public so people other than you can view your data, click the "My Experiment Workspace" button (Fig2.13). Locate the experiment of interest on the "My experiment Workspace" page. Click on the "Permissions" icon (Fig2.13), the "Experiment Permissions" page will appear (Fig2.14). Click on the "Edit Access Control" button in the left panel.
Step 2.10
In the new window appeared, select "Read" from the drop down list in the right panel, then click on the "Save" button (Fig 2.17). Your experiment is now set to be accessible by the pubic (Fig.2.18).
Step 3 Verification of Data Sharing on caGrid
For those Institutions that register their caArray instance on caGrid, the public data is available to other integrated tools that use the caGrid service. To verify whether your caArray data is shared on caGrid, go to CaArray071 and follow the instructions.
