assay design considerations, optimization and...
TRANSCRIPT
Assay Design Considerations,
Optimization and Validation
Ray Meng, Ph.D.International Field Applications Specialist
Gene Expression DivisionBio-Rad Laboratories, Inc.
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• Sample Preparation
– Quality and homogeneity of sample
• Sample Extraction
– Source of inhibitors
• Template preparation
– RNA extraction, quality, quantification
• Reverse transcription
– Strategy
• Experiment setup
– Technical replicates
– Biological replicates
• Optimization of primers and probes
Experiment Considerations
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Sample Preparation
• Preparation Considerations
– RNA or DNA
– Source
– Homogeneity
– Prep time to extraction
– Sample degradation
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Sample Extraction
• DNA / RNA
– AquapureTM Genomic DNA Isolation Kit
– AurumTM Total RNA Kits
• Contaminants
– Starches
– Lipids
– Metals
• Extraction contaminants
– Phenol chloroform
– salts
• Sample degradation
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Template DNA Preparation
• Genomic DNA
– Cut with restriction enzyme that does not cut within amplicon
– Boil DNA for 10 min and then onto ice
• Plasmid DNA
– If it doesn’t work, linearize plasmid with restriction enzyme that does not cut within amplicon
• cDNA
– Treat RNA with RNase-free DNase prior to reverse transcription
– Use enzyme that has RNaseH activity to digest away RNA from RNA:DNA hybrid after making cDNA.
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• Extract and analyze RNA
• Careful quantification is necessary
– RiboGreen Assay - Quantification
– NanoDrop – Quantification and purity
– Experion™ - Quality and quantification
Template Preparation
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GAPDH siRNA
A
Experion™ Analysis of RNA
• Experiment: Evaluate siRNA-mediated
gene silencing
• Prevent faulty conclusions
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Reverse Transcription
IdealReality ?
RNA cDNA
Reproducible Data Not Reproducible
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β-actin
iScript qRT-PCR Standard Curve Comparison:
cDNA serial dilution vs. total RNA serial dilution
Log Starting Quantity (femtograms of input RNA)
Note: 1/10th of cDNA reaction used for PCR
1 2 3 4 5 6 7 8 9
Cycle
old Nu
T
5
10
15
20
25
30
35
40
cDNA Standard Curve Total RNA Standard Curve
cDNA
total RNA Slope
-3.394
-3.382
Corr. Coef. 0.999
0.999
Intercept 38.91
38.09PCR efficiency 97.1% 97.6%
Reverse transcription
RNA isolated from HeLa cells
• Experiment: Testing Results Across a Range of cDNA Input Concentrations
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iScript based reagents
Reverse Transcription
• iScriptTM cDNA Synthesis Kit
• iScript Select cDNA Synthesis Kit
One-Step qRT-PCR
• iScript One-Step RT-PCR Kit with SYBR Green
• iScript One-Step RT-PCR Kit for Probes
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Experiment setup
• Replicates– Need for both technical
replicates and Biological replicates.
– Number of replicates will depend on level of differences that are being presented.
– Lower expression genes tend to require more replicates to establish statistical validity of small differences.
TechnicalBiological
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Optimization of primers and probes
• Hallmarks of an optimized real-time PCR assay:
– One specific product
– Good PCR efficiency
– Good intra- and inter-experimental reproducibility
– Sensitivity over a broad dynamic range
• Each hallmark can be tested experimentally.
• Spending more time on assay design means
less time to achieve validated results.
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Optimization of primers and probes
• Reaction efficiency is 100% if product doubles at every cycle.– Efficiency should be 100 +/- 10%
• Measure efficiency using a serial dilution of template – Reactions designated as standards
– If template quantity is unknown, use 1.0, 0.1, 0.01, etc.
• Efficiency calculated based on standard curve slope
Reaction Efficiency
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Optimization of primers and probes
• Efficiency (ηηηη) = [10(-1/slope)] - 1
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Optimization of primers and probes
• Use a serial dilution of template to test primers across a broad dynamic range.
• Include representative unknown samples.
• Evaluate specificity, efficiency, reproducibility
and dynamic range.
SYBR Green Validation
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Optimization of primers and probes
• Limit secondary structure
• 50 to 60% overall GC content
• Limit stretches of G or C’s longer than 3 bases
• No Gs on the 5’ end
• Place C’s and G’s on ends of primers, but no more than 2 in the last 5 bases on 3’ end
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• Perform BLAST searches on primers (and probe) and the target sequence.
• If starting with SYBR Green, design assay with the potential to use probes and to multiplex
later.
• Test multiple primer combinations
• Find the primer pair with no primer-dimers and
the best reaction efficiency
Optimization of primers and probes
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Amplicon Design
• Length of 75 to 200 bp
• Limited secondary structure
• Model secondary structure using mFold, elaborate on salt and temp.
– http://bioinfo.math.rpi.edu/mfold/applications
• Avoid primer locations at stem loop structures
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Probe Based Assays
• Design primers first, test the reaction with SYBR Green, and then design the probe.
• For probe assays the fluorescence should be target specific, but the assay does not monitor
PCR specificity.
• Amplicon size of 70-150bp
• Consider reporter fluorophore(s) for
multiplexing.
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TaqMan Design
• Probe should have a Tm ~10oC higher than primers
• Tm of probe 68-70C
• G/C content 30-70%
• No G at 5’end
• Avoid identical nucleotide runs
• Avoid secondary structures
• Avoid dimerization with primers
• Select strand that gives more C than G bases
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• Target Sequence
• 2nd Structure Analysis
• Think Small
• Watch out for primer dimers
• Test in Real life conditions
NCBI HomePage
Stacking
No-Web
Next
Primer Design
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• Free resource
• Blast sequence
• Stack sequence
Primer Design
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http://www.ncbi.nlm.nih.
gov/BLAST/Blast.cgi
Primer Design
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• Target Sequence
• 2nd Structure Analysis
• Think Small
• Watch out for primer dimers
• Test in Real life conditions
Mfold – Dr. Zuker
No-Web
Next
Primer Design
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Amplicon Secondary Structures
• Bad location for primers
http://bioinfo.math.rpi.edu/mfold/applications
• Good location for primers
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Reverse Primer B
11110110
Forward
Primer Reverse Primer Reverse Primer
AA
Reverse primer A
ηηηη = 66.3 %
Reverse primer B
ηηηη = 95.8 %
Primer Design
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1261 gatcgcaggg aagatggacc tgaagtcttc cagcaaactc aagaacgggc tcaccttccg
1321 caaggaagac atgcttcagc ggcagctcca cctggagggc atgctatgct ggaagaccac
1381 atcagggcgc ttgaaagata tcctggctat cctgctgacc gacgtacttt tgctgctaca
1441 agaaaaagat cagaaatacg tctttgcttc tgtggactca aagccacccg tcatctcgtt
1501 acaaaagctc atcgtgaggg aagtggccaa cgaggagaaa gcgatgtttc tgatcagcgc
1561 ctccttgcaa gggccggaga tgtatgaaat ctacacgagc tccaaagagg acaggaacgc
1621 ctggatggcc cacatccaaa gggctgtgga gagctgccct gacgaggagg aggggccctt
1681 cagcctgccc gaagaggaaa ggaaggtggt cgaggcccgc gccacgagac tccgggactt
1741 tcaagagcgg ttgagcatga aagaccagct gatcgcacag agcctcctag agaaacagca
1801 gatctacctg gagatggccg agatgggcgg cctcgaagac ctgccccagc cccgaggcct
1861 attccgtgga ggggacccat ccgagaccct gcagggggag ctaattctca agtcggccat
Homo sapiens rho/rac guanine nucleotide exchange factor (GEF) 18 (ARHGEF18), mRNA
Select target sequence:
Primer Design
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55o C
Dr. Michael Zuker’s mFold
http://www.bioinfo.rpi.edu/
applications/mfold/old/dna/
Primer Design
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60o C
Dr. Michael Zuker’s mFold
http://www.bioinfo.rpi.edu/
applications/mfold/old/dna/
Primer Design
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65o C
Dr. Michael Zuker’s mFold
http://www.bioinfo.rpi.edu/
applications/mfold/old/dna/
Primer Design
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• Target Sequence
• 2nd Structure Analysis
• Think Small
• Watch out for primer dimers
• Test in Real life conditions
Primer Design
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Remember: Keep things as simple and easy as possible
Primer Design
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• Target Sequence
• 2nd Structure Analysis
• Think Small
• Watch out for primer dimers
• Test in Real life conditions
Primer 3
Beacon Designer
No-Web
Next
Primer Design
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• Designs Primers
• Designs Internal Oligos
• Provides multiple outputs
• Free
Web software provided by Steve Rozenand Whitehead Institute for Biomedical Research. http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www.cgi
Primer Design
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Avoid Primer
Dimers!!
http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www_help.cgi#PRIMER_SELF_END
Primer Design
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• Target Sequence
• 2nd Structure Analysis
• Think Small
• Watch out for primer dimers
• Test in Real life conditions
Primer Design
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No resolution below 2000 No resolution below 2000
copiescopies
r = 0.957r = 0.957
ηηηηηηηη = 153%= 153%
ILIL--1b plasmid with SYBR detection1b plasmid with SYBR detection
55--fold dilution series: fold dilution series:
10,000 to 16 copies10,000 to 16 copies
Non validated primers
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No Template400 copies
10,000 copies 2,000 copies
Non validated primers
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Same primers with a specific probeSame primers with a specific probe
Poor resolutionPoor resolution
Poor replicatesPoor replicates
ηηηηηηηη = 71%= 71%
Non validated primers
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After primer reAfter primer re--design to design to
eliminate primereliminate primer--dimersdimers
r = 0.999r = 0.999
ηηηηηηηη = 91.3%= 91.3%
Non validated primers
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Gradient Master Mix
• 180 ul 2X iQ SYBR Supermix
• ul forward primer (200nM final)
• ul reverse primer (200nM final)
• ul DNA or cDNA
• ul H20
---------
• 360 ul total
16 wells + 2 (extras) @ 20 ul � 360 ul total
Vortex!
Fast Assay optimization
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dynamic thermal gradient
6oC Below
10oC Above
Fast Assay optimization
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Amplification
}Real annealing range
Fast Assay optimization
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Proper annealing conditions translates into better uniformity
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1/3
Blank
1/3 1/3 1/3
1.11 ng/2ul
0.37 ng/2ul
0.12 ng/2ul10.0 ng/2ul
3.33 ng/2ul
Validation
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Test reaction product
ββββ−−−−Actin ODC AZI OAZ
50 bp
100 bp
200 bp
2 kb
Validation
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In a hurry?
• If you are in a hurry to develop an assay… … design two or more primer sets and use the pair that gives the best results.
• Use low levels of template
• Earliest Ct
• Reproducible technical replicates
• Remember that being in a hurry is no excuse for not optimizing and validating your assay!
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NF1
NF1
NR2
NR2NR1
NF2
NF1
NR1
NF2
NR1
NF2
NR2
In a hurry?
Actin
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NF2
NR2
NF1
NR2NF2
NR1
NF1
NR1
Selecting the best primer set
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• Specificity
– Melting curve analysis and gel analysis
• PCR Efficiency
– Slope of standard curve
• Reproducibility
– Standard deviations between replicates
• Sensitivity and dynamic range
– Experimental validation
Good Primers