Integrated microfluidic approach for quantitative high-throughput measurements of transcription factor binding affinities

Protein binding to DNA is a fundamental process in gene regulation. Methodologies such as ChIP-Seq and mapping of DNase I hypersensitive sites provide global information on this regulation in vivo. In vitro methodologies provide valuable complementary information on protein–DNA specificities. However, current methods still do not measure absolute binding affinities. There is a real need for large-scale quantitative protein–DNA affinity measurements. We developed QPID, a microfluidic application for measuring protein–DNA affinities. A single run is equivalent to 4096 gel-shift experiments. Using QPID, we characterized the different affinities of ATF1, c-Jun, c-Fos and AP-1 to the CRE consensus motif and CRE half-site in two different genomic sequences on a single device. We discovered that binding of ATF1, but not of AP-1, to the CRE half-site is highly affected by its genomic context. This effect was highly correlated with ATF1 ChIP-seq and PBM experiments. Next, we characterized the affinities of ATF1 and ATF3 to 128 genomic CRE and CRE half-site sequences. Our affinity measurements explained that in vivo binding differences between ATF1 and ATF3 to CRE and CRE half-sites are partially mediated by differences in the minor groove width. We believe that QPID would become a central tool for quantitative characterization of biophysical aspects affecting protein–DNA binding.     

Using a collection of MUPP1 domains to investigate the similarities of neurotransmitter transporters C-terminal PDZ motifs

A ubiquitous feature of neurotransmitter transporters is the presence of short C-terminal PDZ binding motifs acting as important trafficking elements. Depending on their very C-terminal sequences, PDZ binding motifs are usually divided into at least three groups; however this classification has recently been questioned. To introduce a 3D aspect into transporter’s PDZ motif similarities, we compared their interactions with the natural collection of all 13 PDZ domains of the largest PDZ binding protein MUPP1. The GABA, glycine and serotonin transporters showed unique binding preferences scattered over one or several MUPP1 domains. On the contrary, the dopamine and norepinephrine transporter PDZ motifs did not show any significant affinity to MUPP1 domains. Interestingly, despite their terminal sequence diversity all three GABA transporter PDZ motifs interacted with MUPP1 domain 7. These results indicate that similarities in binding schemes of individual transporter groups might exist. Results also suggest the existence of variable PDZ binding modes, allowing several transporters to interact with identical PDZ domains and potentially share interaction partners in vivo.