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9:03 CQ:E Assignment details Functional Genomics and Proteomics (2250) Description Please see the prac notes for what you will do in the practicals. Our research lab specialises in...

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9:03
CQ:E Assignment details
Functional Genomics and Proteomics (2250)

Description
Please see the prac notes for what you will do in the
practicals. Our research lab specialises in medicinal
plants for chemotherapy applications. This year, you can
join us in finding out if our he
can reduce skin cancers,
specifically melanoma : download prac notes for group 1
here. Due to the disappointing results from group 1, |
have modified the prac notes for group 2- download
here.
Some interesting facts about skin cancers to get you in
the zone and thinking about the impact of this research
in real life:
aoe SKINCANCERFACTS 9,3
OVER
—~WHAT YOU NEED TO KNOW-
20 PER DAY AUSTRALIANS WILL BE
ARE TREATED FOR SKIN CANCER DIAGNOSED WITH
A hs. aii ih SKIN CANCER
EE . oo BY THE AGE OF 70
AUSTRALIA'S MOST MORE THAN
. CASES OF
COMMON 12,500 ition
C A N C k R . . ARE DIAGNOSED IN AUSTRALIA EACH YEAR
asa. Te MEN ARE MORE THAN
MELANOMAIS
S MORE COMMON
2000 ENG Sim
I DEATHS PER YEAR
o> He DONT BE A STAT
. \ SLIP, SLOP, SLAP, SEEK & SLIDE...
N AND SPOT
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an BH OB NO =D
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| have also included a short video of loading the samples
in the qPCR machine to help you understand the process

| will load up your qPCR results so you can write up you
eport. Keep an eye on this page as it will be updated
once | get the results.
Results for group 1 download here! (melt curves not
included)
Results for group 2 !
There will also be a tutorial in collaborate ultra on 9th
September @ 1:30pm to go through your calculations but
have an attempt first to optimise your learning.
Submit assignment
an BH OB NO =D
Dashboard Calendar To-do Notifications Inbox


BIOL2267 – Functional Genomics & Proteomics
iol2267 – functional genomics & proteomics
BIOL2267 – Functional Genomics & Proteomics
Quantitative PCR (real-time PCR)
Introduction
You have been hired as a medical research assistant in our lab to investigate medicinal plants to augment cancer development. In this practical, you will use molecular biology to quantify the effect of an exotic he
that reduces melanoma on human cells using QPCR. This he
acts on the Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kB) pathway that causes downstream activation of inflammatory and antioxidant derivatives including Tumour necrosis factor alpha (TNF-(), Nuclear factor erythroid 2-related factor 2 (Nrf2) compared to the housekeep gene GAPDH (Figure 1).
Figure 1. Signalling pathways by active phytochemicals to augment cancer chemotherapy and immunotherapy (https:
www.frontiersin.org/articles/10.3389/fonc XXXXXXXXXX/full). TLRs=Toll-like receptors.
Learning outcomes
· To accurately and consistently dispense small volumes with a micropipette.
· To create a standard curve for amplification efficiency for qPCR.
· To perform qPCR on untreated and treated samples.
· To analyse qPCR performance, melt curves and co-efficiency cohorts.
· To write a scientific report on the benefits of our exotic he
for chemotherapy.
Instructions
A. Calculation of cDNA to use
cDNA were extracted and diluted to 1 (g/(L for you to use.
Work in groups and set up the experiment as a class. The Gene of Interest (GOI) primers change with stimulation and treatment (=NFkB, TNFa, Nrf, p53). Housekeeping (HK) primers are constitutively expressed, always on and shouldn’t change (=GAPDH).
1. You will form 2 groups.
2. Group 1 will setup the standard curve with different primers ± xng cDNA and controls
3. Group 2 will setup the cDNA samples with different primers and 1ng cDNA.
B. Setup of the standard curve – this has already been done by group 1
1. Group 1 (8 students) will set up the standard curve using the 4 different primers with different cDNA concentrations of untreated H cells (labelled as HU). Include a no template control (NTC=0.0ng cDNA). Refer to table 1.
Table 1. Setup of the standard curve and controls.
    Student
    Well 1
    Well 2
    Well 3
    Well 4
    A
    Standard GAPDH
0ng HU
    Standard GAPDH
1ng HU
    Standard GAPDH
2ng HU
    Standard GAPDH 4ng HU
    B
    Standard GAPDH
0ng HU
    Standard GAPDH
1ng HU
    Standard GAPDH
2ng HU
    Standard GAPDH 4ng HU
    C
    Standard NFkB
0ng HU
    Standard NFkB
1ng HU
    Standard NFkB
2ng HU
    Standard NFkB
4ng HU
    D
    Standard NFkB
0ng HU
    Standard NFkB
1ng HU
    Standard NFkB
2ng HU
    Standard NFkB
4ng HU
    E
    Standard TNFa
0ng HU
    Standard TNFa
1ng HU
    Standard TNFa
2ng HU
    Standard TNFa
4ng HU
    F
    Standard TNFa
0ng HU
    Standard TNFa
1ng HU
    Standard TNFa
2ng HU
    Standard TNFa
4ng HU
    G
    Standard Nrf
0ng HU
    Standard Nrf
1ng HU
    Standard Nrf
2ng HU
    Standard Nrf
4ng HU
    H
    Standard Nrf
0ng HU
    Standard Nrf
1ng HU
    Standard Nrf
2ng HU
    Standard Nrf
4ng HU
2. Calculate what will be needed to create your mastermix (table 2). Why do you need a mastermix? Make your mastermix containing your qPCR mix, primers (forward and reverse) multiplied by 5 (fill in table 2). Double check your calculations! Remember you need enough for 4 samples so there should be plenty left over! Too little or too much and what happens?
Table 2. Constituents for a qPCR standards (Sensimix Sy
no rox).
    Component (label)
    (L per reaction
    [Final]
    Mastermix for standards
(L (x5)
    qPCR mix (Q)
    6
    1x
    
    Forward Primer (gene F)
    1
    500nM
    
    Reverse Primer (gene R)
    1
    500nM
    
    DEPC wate
    *
    -
    * (add separate)
    cDNA (HU) (?ng)
    *
    -
    * (add separate)
    Total (l aliquoted per well
    8
    -
    
    Total (l volume
    12.5
    -
    
*indicates variable amounts required to make the final total volume
3. Wearing gloves, wipe down your bench area with 70% ethanol.
4. Make the standards mastermix according to table 2 containing the qPCR mix and primers (forward and reverse) in an eppendorf. Mix by pipetting up and down gently.
5. Grab a QPCR 4-well. Make note of where well 1 is by drawing a dot on the lid.
6. Transfer 8uL of the mastermix to each well.
7. If you get to the last well and there is not enough, you have over pipetted and it’s game over! ☹
8. Then add cDNA to the concentration required. Fill up to total volume with the DEPC water.
9. Close the lids. Remove air bu
les by flicking or tapping wells. Keep on ice and in darkness.
10. Your sample is now ready to run in a qPCR and you have finished the practical.
11. Wait for the rest of the class to load their PCR strip tubes. Note your group number and details of each person who pipetted what to write in your report.
C. Setup of the cDNA samples.
1. Group 2 will have 2 students in each group.
2. Each group will set up the wells according to table 3 exactly.
Table 3. Setup of the cDNA samples with and without 1mg/mL plant extract treatment (untreated=U, treated=T) for each of the different cell types (melanomas: C1, C32, D24, control H). Different primers are H
    Group
    Well 1
    Well 2
    Well 3
    Well 4
    Well 5
    Well 6
    Well 7
    Well 8
    C1 cells
A
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    
    Sample GAPDH
1ng cDNA treated
    Sample GAPDH
1ng cDNA
treated
    Sample GAPDH
1ng cDNA
treated
    
    B
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    
    Sample NFkB
1ng cDNA treated
    Sample NFkB
1ng cDNA
treated
    Sample NFkB
1ng cDNA
treated
    
    C
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    
    D
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    
    Group
    Well 1
    Well 2
    Well 3
    Well 4
    Well 5
    Well 6
    Well 7
    Well 8
    C32 cells
E
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    
    Sample GAPDH
1ng cDNA treated
    Sample GAPDH
1ng cDNA
treated
    Sample GAPDH
1ng cDNA
treated
    
    F
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    
    Sample NFkB
1ng cDNA treated
    Sample NFkB
1ng cDNA
treated
    Sample NFkB
1ng cDNA
treated
    
    G
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    
    H
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    
    Group
    Well 1
    Well 2
    Well 3
    Well 4
    Well 5
    Well 6
    Well 7
    Well 8
    D24 cells
I
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    
    Sample GAPDH
1ng cDNA treated
    Sample GAPDH
1ng cDNA
treated
    Sample GAPDH
1ng cDNA
treated
    
    J
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    
    Sample NFkB
1ng cDNA treated
    Sample NFkB
1ng cDNA
treated
    Sample NFkB
1ng cDNA
treated
    
    K
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    
    L
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    
    Group
    Well 1
    Well 2
    Well 3
    Well 4
    Well 5
    Well 6
    Well 7
    Well 8
    H cells
M
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    Sample GAPDH
1ng cDNA untreated
    
    Sample GAPDH
1ng cDNA treated
    Sample GAPDH
1ng cDNA
treated
    Sample GAPDH
1ng cDNA
treated
    
    N
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    Sample NFkB
1ng cDNA untreated
    
    Sample NFkB
1ng cDNA treated
    Sample NFkB
1ng cDNA
treated
    Sample NFkB
1ng cDNA
treated
    
    O
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    Sample TNFa
1ng cDNA
untreated
    
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    Sample TNFa
1ng cDNA
treated
    
    P
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    Sample Nrf
1ng cDNA
untreated
    
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    Sample Nrf
1ng cDNA
treated
    
3. Create a mastermix. Calculate what will be needed to
Answered Same Day Nov 10, 2022

Solution

Dr Shweta answered on Nov 11 2022
49 Votes
1.Objective of the experiment: Quantification of the outcome of an exotic he
that decreases the melanoma on human cells with the help of QPCR.
2. Methodology: This experiment was performed by two groups:
Group 1 made the standard curve using different primers ± xng cDNA and control while Group 2 used the cDNA samples with different primers and 1ng cDNA.
3. Results:
A) Group 1 members uses 4 different types of primers with different concentrations of cDNA of untreated H cells (HU) and a no template control (NTC=0.0ng cDNA).
The standard curve graph for all the primers is designed by plotting the Ct values with the logarithmic value of DNA copies present in per ml of the sample. The graph along with the slope and R2 value is shown as below:
Since some points are out of the line so to improve this group members could make the mix more accurately to get the Ct value more accurately
B) Group 2 members uses the cDNA samples with and without 1mg/mL of plant extract treatment...
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