Gene expression analysis Flashcards

1
Q

Define gene expression

A

The process by which the information encoded in a gene is turned into a function. This mostly occurs via the transcription of RNA molecules that code for proteins or non-coding RNA molecules that serve other functions

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2
Q

What is the use of mRNA expression measurements

A
  • Estimate environmental or genetic effects of phenotypes
  • Find differences in gene expression that could explain differences in phenotypes
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3
Q

What do you need to complete a PCR?

A
  • Template DNA
  • Heat stable polymerase
  • Water
  • Oligonucleotides (primer)
  • Precise thermocycling
  • Nucleotides
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4
Q

What is step 1 of PCR

A

Denaturation
- water with DNA in there
- 90 degrees
- 1 min
- DNA splits into single strands

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5
Q

What is step 2 of PCR

A

Annealing
- Cool whole thing down
- Add primers that bind to complementary DNA
- 54 degrees
- 45 seconds

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6
Q

What is step 3 of PCR

A

Extension
- Heat up again
- Add nucleotides
- 72 degrees
- 2 mins

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7
Q

At what cycle of PCR do you get target DNA

A

not until the 3rd cycle.
This is because you dont want any DNA with longer tails than the initial DNA

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8
Q

What makes a good primer?

A
  • Unique in the genome
  • lack of secondary binding sites
  • Tm = 52-65 degrees
  • Absence of dimerization capability
  • Low specific binding at the 3’ end
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9
Q

Describe uniqueness in terms of PCR primers

A
  • There shall be only one target site in the template DNA where the primer binds
  • There shall be no annealing site in possible contaminant sources
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10
Q

Describe why the length of the primer is important

A
  • effects the uniqueness and the Tm of the primer
  • Longer the primer the more chance it is unique
  • HOWEVER - the longer the primer the higher the annealing temperature - bad
  • Typically 17-28 bases long
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11
Q

Why is base composition important in a primer

A
  • High GC content means binds strong, this is because GC=3H bonds and AT=2H bonds
  • It effects the hybridisation specificity and annealing temp
  • There should be no long AT/GC regions
  • Usually GC content = 50-60%
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12
Q

Why is melting temperature important in primers

A
  • Tm is the temp at which half the DNA strands are single stranded and half are double stranded
  • High GC=High Tm because of increased H bonds
  • Shorter than 13 bp = Tm = (wA x xT)x2 + (yG + zC)x4
  • Longer than 13 bp = Tm = 64.9 + 41 (yG + zC - 16.4)/(wA+xT+yG+zC)
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13
Q

Why is annealing temperature important in primers

A
  • The temperature at which primers anneal to the template DNA
  • Tanneal = Tm-4
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14
Q

Why are primer secondary structures bad

A
  • If primers anneal to themselves or anneal to each other rather than the template, the PCR efficiency will decrease
  • Hairpin, Delf-dimer and dimer
  • Can be harmless if annealing temp doesn’t allow them to form
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15
Q

What is the max difference in annealing temp between the forward and reverse primer?

A

3 degrees

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16
Q

What are the main points to remember in primer design

A
  1. Unique
  2. Length - 17-28 bases
  3. Base composition - GC- 50-60%
  4. High stability 5’ end, low stability 3’ end
  5. Tm = 55-80 degrease
  6. Primer sets to anneal 2-3 degrees of each other
  7. Minimize secondary structure
17
Q

What are the primer design softwares?

A
  • Ensembl - sequence data
  • Primer3 - Primer design
  • Repeat masker - Mask repeat sequences
  • PrimerBLAST - check for off target effects
18
Q

Briefly describe rt-qPCR

A
  • Design 2 primers for gene of interest
  • Design 2 primers for the housekeeping gene
  • Relative expression of gene x vs hk gene
  • small no of genes
  • large no of samples
  • very cheap
  • all values are relative
19
Q

What is the housekeeper gene?

A
  • Genes that encode for proteins that are essential for cellular function
  • Often remains constant under most experimental conditions
  • Common housekeepers:
  • ACTB
  • GAPDH
    -rRNA
  • UBC
20
Q

What are the steps for the analysis of qPCR

A
  • Compute the mean of the technical replicates
  • Compute delta CT
  • Compute mean delta CT for the control
  • Compute delta delta CT
  • Compute 2-delta delta CT
21
Q

How do you know that output of qPCR is reliable?

A
  • delta CT values reliable when
    <0.3 away from the median of the group
22
Q

What do you do if the control is not reliable

A

Use the geometric mean
If there is a single outlier remove the offending replicate
Otherwise redo the experiment

23
Q

What are micro-arrays?

A
  • collection of microscopic DNA spots of a slide
  • Each spot have DNA known as probes or reporters
  • Target fluorophore - labelled target cDNA is hybridised in the arrays
  • Hybridisation is detected by intensity, giving a relative abundance of target sequence
24
Q

Describe the micro-array workflow

A

Sample
Purification
RT - reverse transcriptase to get only DNA not RNA
Coupling
Hybridization and washes
scanning
normalization
analysis

25
Q

What is hybridization

A

Complementary nucleic acid sequences pair with each other by forming H bonds between complementary base pairs
More complementary base pairs in a nucleotide sequence means tighter non-covalent bonds between the strands

26
Q

What are the types of microarrays?

A

1-channel - provides intensity data for each probe or probe set indicating a relative level of hybridization with the labelled target
2-channel - typically hybridized with cDNA prepared from two samples to be compared. labelled with Cy3 (green and Cy5 (red). Yellow if there is no difference. Normal cells expressing higher = green. Cancer cells expressing higher = red

27
Q

What are some applications of micro-arrays

A
  • Comparative hybridization - DNA comparison
  • Expression profiling
  • SNP genotyping
  • ChIP on chip
28
Q

What is the microarray workflow

A

create oligo arrays
Extract RNA
RNa to DNA
Cy3 and 5 labelling
hybridisation
scanning
data storage
expression levels
normalisation
expression clustring
interpretation

29
Q

Normalisation is used to compensate for

A

varying behavior of dyes
variations during the hybridisation
variation in the manufacturing of the microarrays

30
Q

What can go wrong with micro arrays

A

fibres
scratches
air bubbles
spatial bias
background haze

31
Q

Describe background correction

A

adjust for non-specific hybridisation
Using exogenous negative control spots

32
Q

Describe gene-expression profiling

A
  • Goal - to identify the genes that are differently expressed between groups
  • T-test, Anova, RankProducts
33
Q

Describe type 1 and type 2 error

A

1 - calling a gene significantly changed even if its just by chance - avoided by Bonferroni correction
2 - missing a significantly changed gene - avoid by Benjamin-Hochberg false discovery procedure