Primer design is a very important step while setting up your qPCR assay. If your primers anneal poorly or to more than one sequence, this can significantly impact the quality and reliability of your results. The good news is that primers are cheap, so you can test several different pairs and choose the best pair to use in your experiments. The bad news is that primer testing requires time and patience, so the sooner you get a pair of primers working, the better. I like to use the NCBI tool Primer BLAST to design primers for qPCR. Here are the main steps to design primers using this free program:
Go to the Pubmed gene database and search for your gene of interest. You can filter by species in the right corner of the screen. Click on the gene of interest and scroll down until you find the NCBI Reference Sequence (RefSeq) of your gene (e.g. “NM_203483”).
Click there and in the next screen you can see on the right corner of the screen a link to “Pick primers”.
PCR product/amplicon size: For efficient amplification in real-time RT-PCR, primers should be designed so that the size of the amplicon is <200 bp.
Number of primers to return: Up to you, but 10 won’t take too long to calculate and will give you plenty of options to choose from.
Melting temperature: as a rule, aim for a minimum of 57°C and a maximum of 63°C; the ideal melting temperature is 60°C (with a maximum difference of 3°C in the Tm’s of the two primers).
To avoid amplification of contaminating genomic DNA, design primers or probes so that one half hybridizes to the 3′ end of one exon and the other half to the 5′ end of the adjacent exon. To do this, simply select “Primer must span an exon-exon junction”. You don’t need to change the other settings.
Primer pair specificity checking parameters: Leave the default settings. The program will use then the Refseq mRNA sequence from the organism that you selected in the screen before to calculate the primers.
Checking the output screen
The primers should end with a C or G residue, because T and A residues can bind more easily to DNA in a non-specific way.
Optimal primers also have a GC content of around 50-60% to ensure maximum product stability.
Regarding self complementarity, the lower the better, to decrease the possibility of primer-dimer formation. Ideally the primer will have a near random mix of nucleotides.
Now you can pick the best two or three primers and test them. Good luck!
Last week I focused on the left-hand side of this diagram and talked about statistical tests for comparing only two datasets. Unfortunately, many experiments are more complicated and have three or more datasets. Different statistical tests are used for comparing multiple data sets. Today I will focus on the right side of the diagram and […]
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