Aporras1 Week 14

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User page: Antonio Porras

Team page: JASPAR The Friendly Ghost

Assignment page: Week 14

Electronic Lab Notebook

Edits to Week 8 & 10

Made edits in the Week 8 and Week 10 electronic notebooks and journal entries in accordance to the feedback given from Dr. Dahlquist and Dr. Dionisio.

  • Edits to: Week 8
    • Provided exact formulas used in excel.
    • Made sure tense was consistent throughout the electronic notebook.
    • Corrected powerpoint provided by supplying correct values.
    • Extended concluding paragraph.
    • Acknowledged source of data and specified acknowledgements.
  • Edits to: Week 10
    • Included specific filenames.
    • Reported definitions for 6 GO terms.
      • Interpreted GO terms in terms of cold shock.
    • Updated references to include GO term definitions.
    • Updated acknowledgements to specify instructions were copied and modified from Week 10 assignment page.
    • Included the excel file used for the stem.
    • Included the .txt file that was used for the stem.
    • Added summary paragraph to the end of the journal entry.

Using YEASTRACT to Infer which Transcription Factors Regulate a Cluster of Genes

  1. Opened the gene list in Excel for profile 22 from my stem analysis.
  2. Launched a web browser and went to the YEASTRACT database.
    • On the left panel of the window, clicked on the link to Rank by TF.
    • Pasted the list of genes from profile 22 into the box labeled ORFs/Genes.
    • Checked the box for Check for all TFs.
    • Accepted the defaults for the Regulations Filter (Documented, DNA binding plus expression evidence)
    • Did not apply a filter for "Filter Documented Regulations by environmental condition".
    • Ranked genes by TF using: The % of genes in the list and in YEASTRACT regulated by each TF.
    • Clicked the Search button.
  3. Questions:
    • How many transcription factors are green or "significant"?
      • 49 transcription factors are green or significant.
      • 13 transcription factors are yellow or borderline significant.
      • 125 transcription factors are pink or insignificant.
    • Copied the table of results from the web page and pasted it into a new Excel workbook.
    • Is dZAP1 transcription factor on the list? If so, what is their "% in user set", "% in YEASTRACT", and "p value".
      • dZAP1p is on the list.
        • 43.03% in user set
        • 7.02% in YEASTRACT
        • p-value: 2E-15
    • Chose the listed transcription factors from the 49 "significant" TFs and selected 20 with the highest value of "% in user set" because they target a high percentage of the genes within my dataset. Also included two transcription factors, GLN3 & HAP4 as directed by the Week 10 instructions. List of "significant" transcription factors used to run the model:
      • GLN3
      • HAP4
      • Ace2p
      • Sfp1p
      • Bas1p
      • Msn2p
      • Yap1p
      • Ash1p
      • Gcn4p
      • Msn4p
      • Abf1p
      • Cst6p
      • Sok2p
      • Rpn4p
      • Hsf1p
      • Zap1p
      • Cin5p
      • Aft1p
      • Spt23p
      • Pdr1p
      • Met4p
      • Arr1p
    • Went back to the YEASTRACT database and followed the link to Generate Regulation Matrix.
    • Copied and pasted the list of transcription factors I identified above into both the "Transcription factors" field and the "Target ORF/Genes" field.
    • Used the "Regulations Filter" options of "Documented", "Only DNA binding evidence"
      • Clicked the "Generate" button.
      • In the results window that appeared, clicked on the link to the "Regulation matrix (Semicolon Separated Values (CSV) file)" that appeared and saved it to my Desktop.

Deliverables

  1. Media:AP YEASTRACT Transcription Factors.xlsx
  2. Media:AP Regulation Matrix profile22 dZAP1.xlsx

Acknowledgements

  1. Recieved help from both Dondi and Dr. Dahlquist from feedback given and instructions given in class.
  2. Copied and modified the instructions from Week 10.

While I worked with the people noted above, this individual journal entry was completed by me and not copied from another source.

Aporras1 (talk) 16:53, 28 November 2017 (PST)

References

  1. LMU BioDB 2017. (2017). Week 14. Retrieved November 28, 2017, from https://xmlpipedb.cs.lmu.edu/biodb/fall2017/index.php/Week_14
  2. LMU BioDB 2017. (2017). Week 8. Retrieved November 29, 2017, from https://xmlpipedb.cs.lmu.edu/biodb/fall2017/index.php/Week_8
  3. LMU BioDB 2017. (2017). Week 10. Retrieved November 29, 2017, from https://xmlpipedb.cs.lmu.edu/biodb/fall2017/index.php/Week_10