Dr. Chaim Wachtel April 11, 2013
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Transcript of Dr. Chaim Wachtel April 11, 2013
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Dr. Chaim WachtelApril 11, 2013
Introduction to Real-Time PCR
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Real-Time PCR
• What is it?• How does it work• How do you properly perform an
experiment• Analysis
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Michael Smith
The Nobel Prize in Chemistry 1993 was awarded "for contributions to the developments of methods within DNA-based chemistry" jointly with one half to Kary B. Mullis "for his invention of the polymerase chain reaction (PCR) method"and with one half to Michael Smith "for his fundamental contributions to the establishment of oligonucleotide-based, site-directed mutagenesis and its development for protein studies".
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PCR – A simple idea• Polymerase Chain Reaction: Kary Mullis (1983)• In vitro method for enzymatically synthesizing
DNA• The reaction uses two oligonucleotide primers
that hybridize to opposite strands and flank the target DNA sequence that is to be amplified
• A repetitive series of cycles gives exponential accumulation of a specific DNA fragment– Template denaturation– Primer annealing– Extension of annealed primers by the polymerase
• The number of target DNA copies doubles every PCR cycle (20 cycles 220≈106 copies of target)
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Principle of PCR
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Difference PCR vs real-time PCR?
• Fluorescence is measured every cycle (signal amount of PCR product).
• Curves rise after a number of cycles thatis proportional to the initial amount of DNA template.
• Comparison with standard curve gives quantification.
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Real-Time and End PointEnd point
Real time
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MIQE: the minimum information
for the publication of qPCR experiments.
http://www.rdml.org/miqe.php
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The mRNA of the Arabidopsis Gene FT Moves from Leaf to Shoot Apex and Induces Flowering
Tao Huang, Henrik Böhlenius, Sven Eriksson, François Parcy, and Ove Nilsson
Science 9 September 2005: 1694-1696.
2005: Signaling Breakthroughs of the Year
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RetractionWE WISH TO RETRACT OUR RESEARCH ARTICLE “THE MRNA OF THE ARABIDOPSIS GENE FT MOVESfrom leaf to shoot apex and induces flowering” (1). After the first author (T.H.) left the Umeå Plant Science Centre for another position, analysis of his original data revealed several anomalies.
It is apparent from these files that data from the real-time RT-PCR were analyzed incorrectly.
Certain data points were removed, while other data points were given increased weight inthe statistical analysis.
When all the primary real-time RT-PCR data are subjected to correct statistical analysis, most of the reported significant differences between time points disappear.Because of this, we are retracting the paper in its entirety.
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Real-Time Machines
• How do they work• What can you do with one
– Gene expression– SNP detection– DNA detection (quantify)
• How do you use them– Experiment design
• Everything you need to know and more about RNA and RT-PCR
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“Fifty Years of Molecular Diagnostics” Clin Chem. 2005 Mar;51(3):661-71 (C.Wittwer, ed.)
First real-time PCR, 1991
PCR tube in thermocycler
spectrofluorometerfiberoptic
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First commercial real-time PCR instruments
ABI 7700 – laser/fiberoptic-based
ABI 5700 – CCD camera-based
Idaho Technology LightCycler – capillary tubes
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7900HT Fast Real-Time PCR System(Sol Efroni’s lab)
RT-PCR machines at Bar Ilan
AB StepOnePlus Fast Real-Time PCR System
Qiagen’s Rotor-gene (Oren Levy’s lab) Bio-Rad CFX-96 Thermo PikoReal
(Bachelet Lab)
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Rotor-gene
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Probing alternativesNon-specific detection Dyes: SYBR Green I, BEBO,
BOXTO, EvaGreen...
Specific detection TaqMan probe Molecular Beacon Light-Up probe Hybridization probes
Primer based detection
Scorpion primers QZymeLux primers
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SYBR Green binds to dsDNA
SYBR Green binds to DNA, particularly to double-stranded DNA, giving strongly enhanced fluorescence.
SYBR Green is sequence-dependent!
Low flourescence
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The TaqMan Probe• The TaqMan probe
binds to ssDNA at a combined annealing and elongation step.
• It is degraded by the polymerase, which releases the dye from the quencher.
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Multiplex Q-PCR
• Detection of two (or more) different target sequences in the same reaction.
0 5 10 15 20 25 30 35 40
0
10
20
30
40
Fluo
resc
ence
Cycle number
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qPCR technical workflow
Sampling
DNA Extraction
RNA Extraction
DNase treatment
ReverseTranscription
qPCR DataAnalysis
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Nucleic acid isolation and purification
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Overview• Sampling
• Accessibility and lysis
• Commonly used techniques
• RNA considerations
• Quality control
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Why sample preparation?• Make target available
• Remove inhibitors
• Remove fluorescent contaminants
• Preserve target integrity
• Concentrate target
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Path
Genomic DNA
Plasmid DNA
mRNA
Total RNA Fragment DNANuclear
RNA Phage DNAReverse
Transcription
Real-time PCR
DNARNA
Purification
Isolation
Disruption
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AccessibilitySample disruption and homogenization– Mechanical
• Grinding, Sonication, Vortexing, Polytron– Physical
• Freezing– Enzymatic
• Proteinase K, Lysozyme, Collagenase– Chemical
• Guanidinium isothiocyanate (GITC), Alkali treatment, CTAB
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Lysis– Complete or partial lysis?
– Chaotropic lysis buffers:
• SDS, GITC, LiCl, phenol, sarcosyl
– Gentle lysis buffers:
• NP-40, Triton X-100, Tween, DTT
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Purification principles• Characteristics of nucleic acids
– Long, unbranched, negatively charged polymers
• Examples:– Differential solubility– Precipitation– Strong affinity to surface
• Factors:– pH, [salt], hydrophobicity
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Purification techniques
• Solution based- eg Tri reagent, CsCl gradient
• Precipitation- ethanol, needs salt, multiple factors can influence precipitation
• Membrane based- spin columns (Qiagen and the like)
• Magnetic bead based
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Solution based isolation• Most methods use hazardous reagents
• Phenol/Chloroform extraction– Proteins, lipids, polysaccharides go into the
organic phase or in the interphase.– DNA/RNA remains in aqueous phase
• Caesium chloride density gradient ultracentrifugation– Time consuming
• Acid guanidine phenol chloroform extraction– Commonly called TRIzol
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Precipitation purification• Nucleic acids precipitate in alcohols
• Salt (NaCl, NaAc) facilitates the process
• Important factors: Temperature, time, pH, and amount
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Membrane based isolation• Anion exchange technology
• Spin column / silica gel membrane
– Chaotropic salts (e.g. NaI or guanidine
hydrochloride) bind H2O molecules
– Loss of water from DNA changes shape and charge
– DNA binds reversibly to silica membrane
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Purification – GITC vs. column
Organic liquids• Pro:
– Higher yield– Can handle larger
amounts of cells– Better for troublesome
tissues (fatty tissue, bone etc)
• Con:– Higher DNA
contamination (for RNA isolation)
– Separate DNase I digestion with additional purification
Spin columns• Pro:
– Less contaminating DNA (for RNA isolation)
– On column DNase digestion Less loss of RNA
– Higher quality– Easy to use
• Con:– Limited loading capacity– More expensive (?)
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RNA Considerations
• RNA is chemically and biologically less stable than DNA
• Extrinsic and intrinsic ribonucleases (RNases)–Specific and Nonspecific
inhibitors
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Stabilizing conditions
• Work on ice
• Process immediately
• Flash freeze sample in liquid nitrogen and store at
-70°C until later use
• Store samples in stabilization buffer
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Storage of nucleic acids• Nuclease-free plasticware
• Eluted in nuclease-free water, TE or sodium citrate solution
• RNA:
• Neutral pH to avoid degradation
• Aliquot sample to avoid multiple freeze-thaw cycles
• Isolated RNA should be stored at -20 deg C or -70 deg C for even better protection in ethanol and not water.
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Quality Control• Spectroscopic methods
– Concentration, [NA] = A260 x e mg/ml– Purity: A260 / A280 (≈1.8 for DNA, 2.0 for RNA)
• Dyes– Quantification by fluorescence of DNA/RNA-
binding dyes (Qubit)
• Electrophoresis (28S and 18S bands)
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What is the BioAnalizer?• Microfluidic separations
technology
• RNA - DNA - Protein
• 1µl of RNA sample (100 pg to 500 ng)
• 12 samples analyzed in 30 min
• Integrated analysis software:
– Quantitation
– Integrity of RNA
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Bioanalyzer
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RNA Integrity: RQI
Good RNA Quality Bad RNA Quality10 RNA Quality Indicator 1
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Publications on RNA integrity
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DNase I treatment of RNA samples
No RT, DNase
RT, DNase
RT, No DNase No RT, No DNase
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qPCR technical workflow
Sampling
DNA Extraction
RNA Extraction
DNase treatment
ReverseTranscription
qPCR DataAnalysis
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Reverse transcription RT
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Outline
• Priming efficiency
• Reproducibility
• Properties of Reverse transcriptase
• RNA concentrations
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General description of RT reaction
Reverse Transcriptases are RNA-dependent* DNA polymerases that catalyze first strand DNA synthesis in presence of a suitable primer+ as long as it has a free 3’ OH end.
*Can use also single strand DNA as template. + Can be either RNA or DNA.
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RT priming
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RT with Gene-Specific Priming
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RT with Oligo(dT) Priming
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RT with Random Hexamer Priming
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Real-time PCR using different RT primers
Hexa
me
r
Olig
o(d
T)
Mix
B-tubulin
Ca
V1D
Gap
dh
Insu
lin2
Glu
t2
No p
rimer
RNA pool
RT priming
RT replicate (D = 5, n =5)RT RT
QPCR replicate (D =2, n =10)QPCR QPCR
Figure 1
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Real-time PCR with different RT primers
0 10 20 30 40 500
5
10
15
20
25
30
35
40
45
50
specific primeroligo(dT)
random hexamer
non-priming
Flu
ores
cenc
e
Cycle number
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Dependence on priming strategy
Btubulin CaV1D Gapdh Ins II Glut20
2
4
6
8
10
12
14
16
RT
effi
cie
ncy
Rand hex Oligo(dT) Gene specific Mixture gene specific
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Dependance of priming method
b-tubulin
CaVID
GAPDH
Insulin II Glut 2
hexamers 19,5 26,5 15,8 16,9 27,5
oligo dT 18,1 28,8 16,6 15,9 28,4
GSP 18,8 28,7 16,4 17,4 31,8
mix 19,1 27,9 16,3 16,6 29,3
max DCt 1,4 2,3 0,8 1,5 4,4
Gene
RT p
rim
ing
meth
od
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Specificity of specific priming
b-tubulin
CaVID
GAPDH
Insulin II
Glut 2
b-tubulin 18,8 28,7 19 18,8 30,6
CaVID 27 18,7 19,9 22,8 -
GAPDH 23,4 30,1 16,4 20,1 29,7
Insulin II 23,5 31,6 20 17,4 31
Glut 2 25,8 31,9 22,7 22,7 31,8
no RT primer 27,6 33,7 23,6 23,1 32,6NTC ~ 35
PCR primers used
RT p
rim
ers
use
d
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37ºC
GAPDH 3’
60ºC
18 unpaired bases
24 unpaired bases
Algorithm: mfold
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Comparison of reverse transcriptases
Temp
Ref: Ståhlberg et al. Comparison of reverse transcriptases in gene expression analysis.
Clin.Chem. 50(9); 1678-1680 (2004)
MMLV RNase H- Minus (Promega, Germany)37
M-MLV (Promega)45
Avian Myeloblastosis Virus (AMV) (Promega) 37
Improm-II (Promega)45
Omniscript (Qiagen, Germany)37
cloned AMV (cAMV) (Invitrogen, Germany)45
ThermoScript RNase H- (Invitrogen) 50
SuperScript III RNase H- (Invitrogen) 50
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100 – fold variation in RT yield
MMLV MMLVH AMV Improm Omni cAMV Thermo Super
35
40
*
*
*
*
*
HTR2a
Ct
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8 transcriptases tested on 6 genes
MMLV MMLVH AMV Improm Omni cAMV Thermo Super
20
25
*
* -actin
Ct
MMLV MMLVH AMV Improm Omni cAMV Thermo Super20
25
30
GAPDH
Ct
MMLV MMLVH AMV Improm Omni cAMV Thermo Super
35
40
*
*
*
*
*
HTR2a
Ct
MMLV MMLVH AMV Improm Omni cAMV Thermo Super20
25
30
HTR1a
Ct
MMLV MMLVH AMV Improm Omni cAMV Thermo Super20
25
30
HTR1b
Ct
MMLV MMLVH AMV Improm Omni cAMV Thermo Super20
25
30
*
HTR2b
Ct
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Experimental design to study linearity
RNA pool Yeast tRNA or water
1024
ng
256
ng
64 n
g
16 n
g
4 ng
RT replicate (D = 2, n =2)RT RT
QPCR replicate(D = 2, n =4)QPCR QPCR
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Effect of carrier
0 10 20 30 40 50 60-2
0
2
4
6
8
10
12
14
16
18
20
1024 ng256 ng64 ng16 ng
A
Flu
ore
sce
nce
Cycle number
0 10 20 30 40 50 60
0
5
10
15
20
25
30
B
1024 ng256 ng64 ng16 ng4 ng
Flu
ores
cenc
eCycle number
+ tRNA- tRNA
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Effect of carrier
10 100 100014
16
18
20
22
24
26
28
30
32
34A
Glut2 CaV1D -tubulin InsulinII Gapdh
Ct
Total RNA (ng)
2x107
2x106
2x105
2x104
2x103
2x102
cD
NA
mol
ecul
es
10 100 1000
16
18
20
22
24
26
28
30
32
Glut2 CaV1D -tubulin InsulinII Gapdh
Ct
Total RNA (ng)
107
106
105
104
103
102C
cD
NA
mol
ecul
es
+ tRNA- tRNA
![Page 68: Dr. Chaim Wachtel April 11, 2013](https://reader035.fdocuments.in/reader035/viewer/2022062518/56813f60550346895daa2ee5/html5/thumbnails/68.jpg)
RNA dilutions
10 100 100014
16
18
20
22
24
26
28
30
32
34A
Glut2CaV1D-tubulinInsulinIIGapdh
Ct
Total RNA (ng)
2x10
2x10
2x10
2x10
2x10
2x10
cDNA
molec
ules
10 100 1000
16
18
20
22
24
26
28
30
32
Glut2CaV1D-tubulinInsulinIIGapdh
Ct
Total RNA (ng)
10
10
10
10
10
10
B
cDNA
molec
ules
10 100 1000
16
18
20
22
24
26
28
30
32
Glut2CaV1D-tubulinInsulinI IGapdh
Ct
Total RNA (ng)
1 0
1 0
1 0
1 0
1 0
1 0C
cDNA
molec
ules
10 100 1000
16
18
20
22
24
26
28
30
32
Glut2CaV1D-tubulinInsulinIIGapdh
Ct
TotalRNA (ng)
1 0
1 0
1 0
1 0
1 0
1 0D
cDNA
mol
ecules
Figure 2
Water
Yeast tRNA
Oligo(dT) Random Hexamers
![Page 69: Dr. Chaim Wachtel April 11, 2013](https://reader035.fdocuments.in/reader035/viewer/2022062518/56813f60550346895daa2ee5/html5/thumbnails/69.jpg)
Conclusions• The RT reaction shows higher technical variability than
QPCR• There is no optimum priming strategy• Gene specific primers must target accessible regions• The RT yield changes over 100-fold with the choice of
reverse transcriptase• The yield variation is gene specific• RT yield is proportional to the amount of template in
presence of proper carrier • Typical RT yield is 10-50 %• RT-QPCR is highly reproducible as long as the same protocol
and reaction conditions are used
The efficiency of the RT reaction varies from gene to gene and depends on the conditions – run the RT of all samples using exactly the same protocol and reagents under the same conditions