worked_example3
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====== Worked example: ====== | ====== Worked example: ====== | ||
- | ===== Data and data source: ===== | + | ===== Data and data source ===== |
- | In this example we use {{: | + | In this example we use gene expression data from NSCLC HCC4006 (EGFR< |
- | ====== Steps: ====== | + | The file can be downloaded from this link: |
- | * Log in **PathAct**. | + | {{: |
- | * Load example 2 by pressing //Load example file 2// button | + | And was obtained |
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+ | ===== Steps: ===== | ||
+ | * Log in **PathAct** using the login button on the top right corner, the login panel will appear. | ||
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+ | {{ : | ||
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+ | * You can also login as anonymous using the start button. | ||
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+ | {{ : | ||
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+ | * Upload the file as is shown in the [[Upload your data|Upload your data]] section and launch a job with that file. | ||
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+ | {{ : | ||
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+ | * A job will appear on the right and will be processed. | ||
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+ | {{ : | ||
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+ | * Once finished, click on it to open the view window. | ||
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+ | {{ : | ||
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+ | * The view window will appear. | ||
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+ | {{ : | ||
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+ | * To open the settings panel click on the // | ||
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+ | {{ : | ||
{{ : | {{ : | ||
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**Figure 1:** Gene signal modification. **A:** Screenshot of gene selection panel. Note how the drug list appears when we select any gene. **B:** We modify the effect of drug action on its targets (in our case, agonist and antagonist, mark with red arrow and stars).** C:** Screenshot of gene selection panel after In Silico treatment with erlotinib. We have had to manually modify the expression of “EGFR - EGFR node” and “GRB2 EGFR node” because the drug annotations doesn' | **Figure 1:** Gene signal modification. **A:** Screenshot of gene selection panel. Note how the drug list appears when we select any gene. **B:** We modify the effect of drug action on its targets (in our case, agonist and antagonist, mark with red arrow and stars).** C:** Screenshot of gene selection panel after In Silico treatment with erlotinib. We have had to manually modify the expression of “EGFR - EGFR node” and “GRB2 EGFR node” because the drug annotations doesn' | ||
- | CellMaps | + | The visualizer highlights modified genes to help locate them (//figure 2//). |
{{ : | {{ : | ||
- | **Figure 2: A:** ErbB signaling pathway. **B:** Detail of EGFR modification on the pathway. Note how CellMaps | + | **Figure 2: A:** ErbB signaling pathway. **B:** Detail of EGFR modification on the pathway. Note how the visualizer |
* Perform the inhibition by pressing //update// button. Those pathways and circuits that have been modified are marked in bold. Red or blue arrows indicate if those changes are or not significant (overactivated path or repressed). | * Perform the inhibition by pressing //update// button. Those pathways and circuits that have been modified are marked in bold. Red or blue arrows indicate if those changes are or not significant (overactivated path or repressed). | ||
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**Figure 9:** PathAct report. **A:** list of perturbed genes and final value of activation. **B:** ranked circuits by log fold change (base 10). Note how PTEN logFC are -Infinite (PTEN loss represents a complete depletion of PTEN - complete node inactivation). **C:** Fold change is used by calculate significance using 2 as threshold (log< | **Figure 9:** PathAct report. **A:** list of perturbed genes and final value of activation. **B:** ranked circuits by log fold change (base 10). Note how PTEN logFC are -Infinite (PTEN loss represents a complete depletion of PTEN - complete node inactivation). **C:** Fold change is used by calculate significance using 2 as threshold (log< | ||
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worked_example3.1455012500.txt.gz · Last modified: 2017/05/24 15:27 (external edit)