Inter-Plate Variation

Hey everyone,

I ran the Real-Time ATP Rate Assay Kit on an XFe24 -- multiple plates were used to run all sample. Each plate consisted of the 4 background wells, 4 experimental samples (quadruplicate), and a control sample (quadruplicate, same sample on each plate). Statistical analysis found there was no significant difference between plates for my control. What is the best method to account for inter-plate variation? Does Agilent have a standard method to account for this?

Top Replies

Courtney Watts 2 hours ago in reply to Courtney Watts +1 verified

In general, the %CV across a group and from plate to plate should both be < 20%. Higher CVs in this case was due to edge effect on outside of the plate.

Parents

0 Courtney Watts 2 months ago

Hi Eric,

Thank you for contacting Cell Analysis Technical Support. I want to be sure I understand your question correctly: are you having a large amount of variation within each plate? Also, feel free to send your data file(s) to cellanalysis.support@agilent.com. I would be happy to take a look!

Thank you,

Courtney

Courtney Nadeau Watts

Technical Support Scientist/Remote Engineer

Cell Analysis Products
Cancel
Vote Up 0 Vote Down

Sign in to reply

Verify Answer

Cancel
0 EHawrylyshyn 2 months ago in reply to Courtney Watts

Not too large - the CV of my control sample was 16.1% (between plates). Just based off my (limited) understanding of statistics, I thought it was important to include an inter-plate control in my experimental design to account for potential variation as a result of plates/runs, similar to using a reference gene with performing RT-qPCR.

I'll also note that I am analyzing the "% Glycolysis (Basal)" data produced via the Agilent Report Generator rather than the raw OCR/ECAR data.
Cancel
Vote Up 0 Vote Down

Sign in to reply

Verify Answer

Cancel

Reply

0 EHawrylyshyn 2 months ago in reply to Courtney Watts

Not too large - the CV of my control sample was 16.1% (between plates). Just based off my (limited) understanding of statistics, I thought it was important to include an inter-plate control in my experimental design to account for potential variation as a result of plates/runs, similar to using a reference gene with performing RT-qPCR.

I'll also note that I am analyzing the "% Glycolysis (Basal)" data produced via the Agilent Report Generator rather than the raw OCR/ECAR data.
Cancel
Vote Up 0 Vote Down

Sign in to reply

Verify Answer

Cancel

Children

No Data

Was this helpful?