Difference between revisions of "Hivanson Week 10"
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#* I copied the table of results from the web page and pasted it into a new Excel workbook using paste values. | #* I copied the table of results from the web page and pasted it into a new Excel workbook using paste values. | ||
− | #** I uploaded | + | #** I uploaded [[Media:dCIN5_profile22_yeastract.xlsx|the Excel file]]. |
#** '''Are CIN5 or GLN3 on the list? If so, what is their "% in user set", "% in YEASTRACT", and "p value"?''' | #** '''Are CIN5 or GLN3 on the list? If so, what is their "% in user set", "% in YEASTRACT", and "p value"?''' | ||
#*** CIN5 and GLN3 are not present on the list. | #*** CIN5 and GLN3 are not present on the list. |
Revision as of 17:47, 30 March 2024
Contents
Purpose
Methods/Results
Clustering and GO Term Enrichment with stem
- Preparing microarray data file for loading into STEM.
- I inserted a new worksheet into my Excel workbook, and named it "dCIN5_stem".
- I selected all of the data from the "ANOVA_dCIN5" worksheet and special pasted values into the "dCIN5_stem" worksheet.
- I renamed Column A to "SPOT" and Column B to "Gene Symbol." I deleted the column named "Standard_Name."
- I filtered the data in "dCIN5_B-H_p-value" > 0.05.
- Once the data has been filtered, I selected and deleted all of the rows (except for your header row). I undid the filter.
- I deleted all of the data columns except for the Average Log Fold change columns for timepoints 15m, 30m, 60m, 90m, and 120m.
- I renamed the data columns from "dCIN5_AvgLogFC_t
- I removed #DIV/0! errors using find and replace with nothing in the replace field.
- I saved the dCIN5_stem sheet as Text (Tab-delimited) (*.txt).
- I downloaded and extracted the STEM software. Click here to go to the STEM web site.
- I downloaded the Gene Ontology and yeast GO annotations from the 10 Wiki page.
- I launched the STEM program.
- Running STEM
- In section 1 (Expression Data Info) of the the main STEM interface window, I clicked on the Browse... button to navigate to and select the .txt file.
- I clicked on the radio button No normalization/add 0.
- I checked the box next to Spot IDs included in the data file.
- In section 2 (Gene Info) of the main STEM interface window, I left the default selection for the three drop-down menu selections for Gene Annotation Source, Cross Reference Source, and Gene Location Source as "User provided".
- I clicked the "Browse..." button to the right of the "Gene Annotation File" item. I selected the file "gene_association.sgd.gz" and click Open.
- In section 3 (Options) of the main STEM interface window, I ensured that the Clustering Method says "STEM Clustering Method" and did not change the defaults for Maximum Number of Model Profiles or Maximum Unit Change in Model Profiles between Time Points.
- In section 4 (Execute) I clicked on the yellow Execute button to run STEM.
- In section 1 (Expression Data Info) of the the main STEM interface window, I clicked on the Browse... button to navigate to and select the .txt file.
- Viewing and Saving STEM Results
- A new window opened called "All STEM Profiles (1)".
- I clicked on the button that says "Interface Options...". At the bottom of the Interface Options window that appears below where it says "X-axis scale should be:", I clicked on the radio button that says "Based on real time". I then closed the Interface Options window.
- I screenshotted this window and pasted it into my PowerPoint presentation.
- I clicked on each of the significant/colored profiles to open a window showing a more detailed plot containing all of the genes in that profile.
- I screenshoted each of the individual profile windows and saved the images in my PowerPoint presentation.
- For each of the profiles, I clicked on the "Profile Gene Table" button, then clicked on the "Save Table" button to save the file for each profile. This can be found in the Data and Files section below.
- For each of the significant profiles, I clicked on the "Profile GO Table" to see the list of Gene Ontology terms belonging to the profile, then clicked on the "Save Table" button for each profile. This can be found in the Data and Files section below.
- A new window opened called "All STEM Profiles (1)".
- Analyzing and Interpreting STEM Results
- I selected profile 22 for further intepretation of the data.
- Why did you select this profile? In other words, why was it interesting to you?
- I selected profile 22 because the overall trend of a spike only at 90 minutes is different from the rest of the profiles' trends.
- How many genes belong to this profile?
- 179 genes
- How many genes were expected to belong to this profile?
- 22.9 genes
- What is the p value for the enrichment of genes in this profile?
- 3.4E-98
- I opened the GO list file that I saved for profile 22 in Excel. I selected the third row and then filtered on the "p-value" column to show only GO terms that have a p value of < 0.05.
- How many GO terms are associated with this profile at p < 0.05?
- 25
- I filtered on the "Corrected p-value" column to show only GO terms that have a corrected p value of < 0.05.
- How many GO terms are associated with this profile with a corrected p value < 0.05?
- 7
- I select 6 Gene Ontology terms from your filtered list
- These were selected by choosing the six most significant terms that were not redundant with each other.
- I looked up the definitions for each of the terms at http://geneontology.org.
- Why does the cell react to cold shock by changing the expression of genes associated with these GO terms?
- The genes that are associated with these GO terms include stress responses, like
cellular response to oxidative stress
, and its related terms that I excluded from the above table due to similarity. This makes sense as cold shock is considered a stressor. Additionally, various cellular structure components are associated with these GO terms, such ascytoplasm
,cytoskeleton
, andfungal-type vacuole
which all may need to have regulated rigidity or some other physical characteristics at lower temperatures.
- The genes that are associated with these GO terms include stress responses, like
- Also, what does this have to do with the transcription factor being deleted (for the groups working with deletion strain data)
- I want to compare our results to that of the wildtype. I don't understand completely what effects the CIN5 deletion should have, or what this does to the yeast. I tried reading the SGD description of CIN5. Will clarify with Dr. Dahlquist.
- Why did you select this profile? In other words, why was it interesting to you?
- I selected profile 22 for further intepretation of the data.
GO ID | Term |
---|---|
GO:0034599 | cellular response to oxidative stress |
GO:0005737 | cytoplasm |
GO:0006897 | endocytosis |
GO:0030479 | actin cortical patch |
GO:0005856 | cytoskeleton |
GO:0000324 | fungal-type vacuole |
Using YEASTRACT to Infer which Transcription Factors Regulate a Cluster of Genes
- I opened the gene list in Excel for ∆CIN5 profile 22 from the stem analysis.
- I copied the list of gene IDs.
- I launched a web browser and went to the YEASTRACT database.
- On the left panel of the window, I clicked on the link to Rank by TF.
- I pasted my list of genes from my cluster into the box labeled ORFs/Genes.
- I checked the box for Check for all TFs.
- I accepted the defaults for the Regulations Filter (Documented, DNA binding or expression evidence)
- I made sure to not apply a filter for "Filter Documented Regulations by environmental condition".
- I ranked genes by TF using: The % of genes in the list in YEASTRACT regulated by each TF.
- I clicked the Search button.
- How many transcription factors are green or "significant"?
- 57
- I copied the table of results from the web page and pasted it into a new Excel workbook using paste values.
- I uploaded the Excel file.
- Are CIN5 or GLN3 on the list? If so, what is their "% in user set", "% in YEASTRACT", and "p value"?
- CIN5 and GLN3 are not present on the list.
- Note: Yeastract stated:
Unknown gene/ORF name(s), 'YCRX17W', 'YCRX18C'.
Initially, transcription factors selection was determined by selecting the 15 most significant transcription factors by p value. The transcription factors are as follows:
Pdr3
Rpn4
Yap1
Gcn4
Rph1
Pdr1
Gis1
Aft2
Yrr1
Mga2
YGR067C
Sut1
Msn4
Stp1
Mig1
Boxes with no nodes attached were removed and replaced with the next-most significant transcriptions factor, starting with Gis1, Sut1, and Mga2, which were replaced with Cbf1, Bas1, and Hap2. Pdr3 Rpn4 Yap1 Gcn4 Rph1 Pdr1 Cbf1 Aft2 Yrr1 Hap2 YGR067C Bas1 Msn4 Stp1 Mig1
Mig1, Hap2, Msn4, and Rph1 were removed and replaced with Aft1, Msn2, Rme1, and Sut2 Pdr3 Rpn4 Yap1 Gcn4 Sut2 Pdr1 Cbf1 Aft2 Yrr1 Msn2 YGR067C Bas1 Rme1 Stp1 Aft1
Rme1 and Msn2 were replaced with Pho2 and Ash1.
. Pdr3 Rpn4 Yap1 Gcn4 Sut2 Pdr1 Cbf1 Aft2 Yrr1 Ash1 YGR067C Bas1 Pho2 Stp1 Aft1
Ash1 was replaced with Snf1
. Pdr3 Rpn4 Yap1 Gcn4 Sut2 Pdr1 Cbf1 Aft2 Yrr1 Snf1 YGR067C Bas1 Pho2 Stp1 Aft1
Number of genes and edges in your network
15 genes, 21 edges
Creating the GRNmap Input Workbook
Data & Files
Excel file with microarray data for dCIN5
Tab text file with dCIN5 stem data
Stem dCIN5 significant profiles genelist folder
Stem dCIN5 significant profiles GOlist folder
dCIN5 Profile 22 genelist in yeastract results
GRNsight data for dCIN5 profile 22
Conclusion
Acknowledgments
References
- Help:Table. (2024). In Wikipedia. Retrieved March 25, 2024, from https://en.wikipedia.org/w/index.php?title=Help:Table&oldid=1213890372
- Hivanson
- Hivanson Week 1 | Week 1 Assignment
- Hivanson Week 2 | Week 2 Assignment
- IMD3 Hivanson and Nstojan1 Week 3 | Week 3 Assignment
- NeMO Week 4 | Week 4 Assignment
- Hivanson Week 5 | Week 5 Assignment
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- Hivanson Week 12 | Week 12 Assignment
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- Hivanson Week 15 | Week 15 Assignment
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