Comparison of variability and sensitivity between nuclear translocation and luciferase reporter gene assays.
High-content screening (HCS), a technology based on subcellular imaging by automated microscopy and sophisticated image analysis, has emerged as an important platform in small-molecule screening for early drug discovery. To validate a subcellular imaging assay for primary screening campaigns, an HCS assay was compared with a non-image-based readout in terms of variability and sensitivity. A study was performed monitoring the accumulation of the forkhead transcription factor of the O subfamily (FOXO3a) coupled with green fluorescent protein in the nucleus of human osteosarcoma (U-2 OS) cells. In addition, the transcription of a luciferase gene coupled with a FOXO3a-responsive promoter was monitored. This report demonstrates that both assay formats show good reproducibility in primary and concentration response screening despite differences in statistical assay quality. In primary screening, the correlation of compound activity between the 2 assays was low, in contrast to the good correlation of the IC(50) values of confirmed compounds. Furthermore, the high-content imaging assay showed a mean shift of 2.63-fold in IC(50) values compared with the reporter gene assay. No chemical scaffold was specifically found with 1 of the technologies only, however these results validate the HCS technology against established assays for screening of new molecular entities.
Unterreiner
Vincent
V
Novartis Institutes for BioMedical Research, Basel, Switzerland.
Ibig-Rehm
Yvonne
Y
Simonen
Marjo
M
Gubler
Hanspeter
H
Gabriel
Daniela
D
D021581:Active Transport, Cell Nucleus; D045744:Cell Line, Tumor; D002467:Cell Nucleus / Q000378:metabolism*; D051858:Forkhead Transcription Factors / Q000378:metabolism; D017930:Genes, Reporter / Q000235:genetics*; D006801:Humans; D008156:Luciferases / Q000032:analysis* / Q000235:genetics* / Q000378:metabolism; D012680:Sensitivity and Specificity
D051858:Forkhead Transcription Factors; D008156:Luciferases