Solid-phase reverse transfection on cell microarrays is a high-throughput method for the parallel transfection of mammalian cells. However, the cells transfected in this way have been restricted so far to microscopy-based analyses. Analysis methods such as reverse transcriptase—polymerase chain reaction (RT-PCR) and access to higher cell numbers for statistical reasons in microscopy-based assays are not possible with solid-phase reverse transfection on cell microarrays. We have developed a quick and reliable protocol for automated solid-phase reverse transfection of human cells with siRNAs in multiwell plates complementing solid-phase reverse transfection on cell microarrays. The method retains all advantages of solid-phase reverse transfection such as long-term storage capacity after fabrication, reduced cytotoxicity, and reduced cost per screen compared with liquid-phase transfection in multiwell plates. The protocol has been tested for the RNAi-mediated knockdown of several genes in different cell lines including U20S, RPE1, A549, and HeLa cells. We show that even 3 months after production of the “ready to transfect” multiwell plates, there is no reduction in their transfection efficiency as assessed by RT-PCR and nuclear phenotyping by fluorescence microscopy. We conclude that solid-phase reverse transfection in multiwell plates is a cost-efficient and flexible tool for multiplexing cellular assays. (Journal of Biomolecular Screening. 2008:575-580)

High-content, high-throughput RNA interference (RNAi) offers unprecedented possibilities to elucidate gene function and involvement in biological processes. Microscopy based screening allows phenotypic observations at the level of individual cells. It was recently shown that a cell's population context significantly influences results. However, standard analysis methods for cellular screens do not currently take individual cell data into account unless this is important for the phenotype of interest, i.e. when studying cell morphology. We present a method that normalizes and statistically scores microscopy based RNAi screens, exploiting individual cell information of hundreds of cells per knockdown. Each cell's individual population context is employed in normalization. We present results on two infection screens for hepatitis C and dengue virus, both showing considerable effects on observed phenotypes due to population context. In addition, we show on a non-virus screen that these effects can be found also in RNAi data in the absence of any virus. Using our approach to normalize against these effects we achieve improved performance in comparison to an analysis without this normalization and hit scoring strategy. Furthermore, our approach results in the identification of considerably more significantly enriched pathways in hepatitis C virus replication than using a standard analysis approach. Using a cell-based analysis and normalization for population context, we achieve improved sensitivity and specificity not only on a individual protein level, but especially also on a pathway level. This leads to the identification of new host dependency factors of the hepatitis C and dengue viruses and higher reproducibility of results.

The current risk stratification in prostate cancer (PCa) is frequently insufficient to adequately predict disease development and outcome. One hallmark of cancer is telomere maintenance. For telomere maintenance, PCa cells exclusively employ telomerase, making it essential for this cancer entity. However, TERT, the catalytic protein component of the reverse transcriptase telomerase, itself does not suit as a prognostic marker for prostate cancer as it is rather low expressed. We investigated if, instead of TERT, transcription factors regulating TERT may suit as prognostic markers. To identify transcription factors regulating TERT, we developed and applied a new gene regulatory modeling strategy to a comprehensive transcriptome dataset of 445 primary PCa. Six transcription factors were predicted as TERT regulators, and most prominently, the developmental morphogenic factor PITX1. PITX1 expression positively correlated with telomere staining intensity in PCa tumor samples. Functional assays and chromatin immune-precipitation showed that PITX1 activates TERT expression in PCa cells. Clinically, we observed that PITX1 is an excellent prognostic marker, as concluded from an analysis of more than 15,000 PCa samples. PITX1 expression in tumor samples associated with (i) increased Ki67 expression indicating increased tumor growth, (ii) a worse prognosis, and (iii) correlated with telomere length.

Delivery of large and functionally active biomolecules across cell membranes presents a challenge in cell biological experimentation. For this purpose, we developed a novel solid-phase reverse transfection method that is suitable for the intracellular delivery of proteins into mammalian cells with preservation of their function. We show results for diverse application areas of the method, ranging from antibody-mediated inhibition of protein function to CRISPR/Cas9-based gene editing in living cells. Our method enables prefabrication of “ready to transfect” substrates carrying diverse proteins. This allows their easy distribution and standardization of biological assays across different laboratories.