Benefits
- EzMate Automated Pipetting System provides μl-level liquid transfers make it suitable to for the performance evaluation of real-time PCR instrument
- Improve the reproducibility of evaluation using EzMate Automated Pipetting System
The highly accurate and precise EzMate 401 Automated Pipetting System is specialized in handling low-volume pipetting tasks, such as special qPCR experiments, which can be used to evaluate the realtime PCR instrument’s performance. In this application note, we use EzMate 401 to prepare a special qPCR experiment to evaluate the well-to-well variation of a real-time PCR instrument
Finnzymes DyNAmo SYBR Green qPCR Kit, # F-415-L
101bp synthetic DNA with following sequence,
1X working Conc. 1pM:
AAC TTG GCT TTA ATG GAC CTC CAA TTT TGA GTG TGC ACA AGC TAT AGA ACA
CCA CGT AAG ACA TAA AAC GGC CAC ATA TGG TGC CAT GTA AGG ATG AAT GT
Forward: AAC TTG GCT TTA ATG GAC CTC CA, working Conc. 300nM
Reverse: ACA TTC ATC CTT ACA TGG CAC CA, working Conc. 300nM
Prepare the pre-mix solution (listed in the table 1. below) in a 1.5 ml tube, and invert the tube several times to mix the content thoroughly (do not vortex the tube).
Table1
Use EzMate 401 to dispense 20 μl/well of the premix solution into each well in columns 1, 12 and 24 of a clean 384-well qPCR plate (blue frames in figure 1. below).
Figure1
After dispensing, seal the plate, gently tap its side and then centrifuge it to remove any bubbles in the well. Run the qPCR experiment under the following cycling conditions: (below, table 2.)
Table2
Result
Cp mean = 19.47316854
Cp SD = 0.031756082
Acceptable criteria: SD of Cp should be ≤ 0.5.
The test result indicates that the tested instrument performs well. The variations between wells are very small.
The high accuracy and precision of the EzMate automated pipetting system in μl-level liquid transfers make it a suitable tool to prepare special qPCR experiments for the performance evaluation of any real-time PCR instrument. By using the synthetic oligonucleotide as the target template, users can eliminate potential problems caused by the uncertainty of the natural DNA sample, and improve the reproducibility of the evaluation.
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