Linear dynamic range for signal detection in fluorescent differential display.

We have determined the linear dynamic range in signal detection by Fluorescent Differential Display (FDD) using conditionally induced mRNA expression of the p53 tumor-suppressor gene as a control. By serial spiking of p53-induced RNA into that of non-induced RNA, we were able to quantitatively measure up to 100-fold change in p53 mRNA expression level. The linear dynamic range of signal detection per mRNA message was determined to be from 1000 up to 20,000 in fluorescence signal, in which the signals for the majority of mRNAs reside. Thus, FDD can be used to accurately quantify differences in mRNA expression among eukaryotic cells.

Proof-reading signal accuracy of gene expression by binary differential display.

Differential display (DD) is commonly used for identifying differentially expressed genes. However, each cDNA species identified by DD must be verified so a "real difference" can be differentiated from false positives. Although Northern blot analysis is the gold standard it is labor intensive, time-consuming and requires a significant amount of RNA. To speed up and streamline the confirmation process, we developed a new strategy: binary differential display (BDD) based on the binding kinetics of the arbitrary primers in DD. After determining a cDNA sequence of interest from a DD screen, two more 13mer primers derived from the original arbitrary primer used can be designed to target a corresponding cDNA sequence of interest: one with perfect 5'-base matches and the other with additional mismatches at the 5'-base to the corresponding mRNA being confirmed. A separate reverse transcription and FDD are then performed with the same RNA samples being compared. BDD can quickly and accurately determine if a cDNA sequence identified by DD corresponds to a truly differentially expressed gene. In addition, the method is especially useful when more than one cDNA sequence was recovered from a DD band where the masking effect of false-positives can be clearly resolved. Given its simplicity and limited RNA sample required, BDD can be used as a general strategy for rapid confirmation of differentially expressed genes discovered by DD.

Automated fluorescent differential display for cancer gene profiling.

Since its invention in 1992, differential display (DD) has become the most commonly used technique for identifying differentially expressed genes because of its many advantages over competing technologies such as DNA microarray, serial analysis of gene expression (SAGE), and subtractive hybridization. A large number of these publications have been in the field of cancer, specifically on p53 target genes. Despite the great impact of the method on biomedical research, there had been a lack of automation of DD technology to increase its throughput and accuracy for systematic gene expression analysis. Many previous DD work has taken a "shotgun" approach of identifying one gene at a time, with a limited number of polymerase chain reactions (PCRs) set up manually, giving DD a low-tech and low-throughput image. We have optimized the DD process with a platform that incorporates fluorescent digital readout, automated liquid handling, and large-format gels capable of running entire 96-well plates. The resulting streamlined fluorescent DD (FDD) technology offers an unprecedented accuracy, sensitivity, and throughput in comprehensive and quantitative analysis of gene expression. These major improvements will allow researchers to find differentially expressed genes of interest, both known and novel, quickly and easily.