Discovery of Small-Molecule Selective mTORC1 Inhibitors via Direct Inhibition of Glucose Transporters.

The mechanistic target of rapamycin (mTOR) is a central regulator of cellular metabolic processes. Dysregulation of this kinase complex can result in a variety of human diseases. Rapamycin and its analogs target mTORC1 directly; however, chronic treatment in certain cell types and in vivo results in the inhibition of both mTORC1 and mTORC2. We have developed a high-throughput cell-based screen for the detection of phosphorylated forms of the mTORC1 (4E-BP1, S6K1) and mTORC2 (Akt) substrates and have identified and characterized a chemical scaffold that demonstrates a profile consistent with the selective inhibition of mTORC1. Stable isotope labeling of amino acids in cell culture-based proteomic target identification revealed that class I glucose transporters were the primary target for these compounds yielding potent inhibition of glucose uptake and, as a result, selective inhibition of mTORC1. The link between the glucose uptake and selective mTORC1 inhibition are discussed in the context of a yet-to-be discovered glucose sensor.

Improving DNA array data quality by minimising 'neighbourhood' effects.

Gene expression studies using cDNA arrays require robust and sensitive detection methods. Being extremely sensitive, radioactive detection suffers from the influence of signals positioned in each other's vicinity, the 'neighbourhood' effect. This limits the gene density of arrays and the quality of the results obtained. We have investigated the quantitative influence of different parameters on the 'neighbourhood' effect. By using a model experimental system, we could show that the effect is linear and depends only on the intensity of the hybridisation signal. We identified a common factor that can describe the influence of the neighbour spots based on their intensities. This factor is <1%, but it has to be taken into account if a high dynamic range of gene expression is to be detected. We could also derive the factor, although with less precision, from comparison of duplicate spots on arrays of 4565 different clones and replication of the hybridisation experiments. The calculated coefficient applied to our actual experimental results not only revealed previously undetected tissue or cell-specific expression differences, but also increased the dynamic range of detection. It thus provides a relatively simple way of improving DNA array data quality with few experimental modifications.