ChIP Analysis
| ChIP-qPCR data needs to be normalized for sources of variability, including amount of chromatin, efficiency of immunoprecipitation, and DNA recovery. Here we discuss two common methods used to normalize ChIP-qPCR data—the Percent Input Method and the Fold Enrichment Method. We prefer analyzing ChIP-qPCR data relative to input as this includes normalization for both background levels and input chromatin going into the ChIP. We recommend that ChIP experiments are run in replicate and that the results are presented together with the background signal and standard error when possible. |
Percent Input Method
To calculate percent input:
| Step 1 | Step 2 | ||||
| *Adjusted input to 100% | Percent input | ||||
| Raw Ct | (Ct Input - 6.644) | Triplicate average Ct | 100*2^(Adjusted input - Ct (IP) | ||
| Input (1%) | 32.7 | 26.1 | Adjusted input | 26.1 | |
| Mock (IgG) | 34.6 | 0.3 | |||
| Antibody #1 | 31.3 | 2.7 | |||
| Antibody #2 | 29.9 | 7.2 |
* Note: For example, if the starting input fraction is 1%, then a dilution factor (DF) of 100 or 6.644 cycles (i.e., log2 of 100) is subtracted from the Ct value of diluted input.
Fold Enrichment Method
To calculate fold enrichment:
| Step 1 | Step 2 | ||
| Nonspecific adjustment | Fold enrichment | ||
| Raw Ct | (Ct IP) - (Ct mock) | (2-DDCt) | |
| Mock (IgG) | 34.6 | 0 | 1.0 |
| Antibody #1 | 31.3 | -3.3 | 9.8 |
| Antibody #2 | 29.9 | -4.7 | 26.0 |