20.109(S14):Data analysis (Day7): Difference between revisions

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#*Background. The scatter data is used to make gate P3, which should consist of primarily live, single cells. From the cells gated in P3, two sub-gates are made that capture all GFP-positive cells ("Green cells gate") and all BFP-positive cells ("Blue cells" gate). Both singly and doubly positive cells are included in each gate. It is important to read the "% Parent" statistics: these indicate XFP-positive cells as a percentage of all the cells in P3. The "% Total" statistics include debris, aggregates, and obviously dead cells!
#*Background. The scatter data is used to make gate P3, which should consist of primarily live, single cells. From the cells gated in P3, two sub-gates are made that capture all GFP-positive cells ("Green cells gate") and all BFP-positive cells ("Blue cells" gate). Both singly and doubly positive cells are included in each gate. It is important to read the "% Parent" statistics: these indicate XFP-positive cells as a percentage of all the cells in P3. The "% Total" statistics include debris, aggregates, and obviously dead cells!
#*What percent Green cells are in the mock sample on each day? What about Blue cells?
#*What percent Green cells are in the mock sample on each day? What about Blue cells?
#*What percent of singly-transfected cells express GFP? Do within-day and cross-day replicates agree well or not?
#*What percent of singly-transfected cells express BFP? Do within-day and cross-day replicates agree well or not?
#*What percent of co-transfected cells express both GFP and BFP? Just GFP? Just BFP? How about that replicate agreement?
#*Does ethanol appear to affect scatter profiles? What about GFP, BFP, or co-expression?
#*What NHEJ repair value do you calculate for Zac's original BFP plasmid, using the T/R no-ethanol K1 data? Try this calculation by hand. Later, you can include this data as a check on your Excel worksheet. The value you should calculate is X.





Revision as of 11:45, 5 April 2014


20.109(S14): Laboratory Fundamentals of Biological Engineering

Home        Schedule Spring 2014        Assignments       
Module 1        Module 2        Module 3              

Introduction

Topic 1: document some of the lecture info on NHEJ key players, leading to

Topic 2: more about C401 inhibitor, and

Topic 3: more about colony-forming assay and staining approach

Topic 4: but the most interesting/fun will be flow analysis: mean vs median choice; breaking down the Day 5 equation a bit more

Oh, and just a word about the MCS/GC/etc. issue for context

Protocols

Part 1: Stain irradiated cell colonies

Option to do it on M3D1 if they want to grow longer for bigger colonies?

All in main lab: rinse w/ 2mL pre-warmed PBS, add 2 mL Coomassie for 1 hr w/shaking, save it afterward, rinse w/PBS again, let dry a little bit, then count colonies right away. (Suggestions for counting approach and how to decide which ones pass the threshold.)

Part 2: Flow cytometry analysis

Overview:

  • You will begin by looking at images from the instructor samples to learn how to read the plots and summary statistics.
  • Next you will peek at your own images and form preliminary expectations about your data set.
  • Finally, you will work in Excel to precisely calculate the NHEJ repair value for each of your three conditions.
  1. On one of the lab computers, double-click on the FACS server shortcut.
    • Alternatively, on your own computer access 18.159.2.11 directly. Ask your instructors for the username and password.
  2. Go to the April 2014 folder, then to Agi Stachowiak. Copy over both the T/R and W/F image sets to your laptop: the filenames begin "analysis-images" and only the dates differ.
  3. Copy over just your own day of statistics, unless you really want access to all of the raw data in your back pocket: the .csv filenames begin "analysis-statistics" and only the dates differ.
  4. The instructor samples are listed in the table below. From this table, and from the T/R and W/F image sets, try to address the questions below.
    • Background. The scatter data is used to make gate P3, which should consist of primarily live, single cells. From the cells gated in P3, two sub-gates are made that capture all GFP-positive cells ("Green cells gate") and all BFP-positive cells ("Blue cells" gate). Both singly and doubly positive cells are included in each gate. It is important to read the "% Parent" statistics: these indicate XFP-positive cells as a percentage of all the cells in P3. The "% Total" statistics include debris, aggregates, and obviously dead cells!
    • What percent Green cells are in the mock sample on each day? What about Blue cells?
    • What percent of singly-transfected cells express GFP? Do within-day and cross-day replicates agree well or not?
    • What percent of singly-transfected cells express BFP? Do within-day and cross-day replicates agree well or not?
    • What percent of co-transfected cells express both GFP and BFP? Just GFP? Just BFP? How about that replicate agreement?
    • Does ethanol appear to affect scatter profiles? What about GFP, BFP, or co-expression?
    • What NHEJ repair value do you calculate for Zac's original BFP plasmid, using the T/R no-ethanol K1 data? Try this calculation by hand. Later, you can include this data as a check on your Excel worksheet. The value you should calculate is X.


First look at instructor mock/single/etc. samples plus own plots.

Then move to stats. Save-as Excel sheet, keep just what they need.

Prepare separate sheet with columns/calculations of interest.

Finally, copy in the data.

Add all B/G ratios and NHEJ ratios group Excel worksheet somehow?

For next time

Methods, as promised.

Reagent list

write something here or not accessible to edit

Navigation Links

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