We are pleased to introduce MITOMI 2.0, a microfluidic platform and analysis pipeline for high-throughput measurement of transcription factor DNA sequence preferences and interaction affinities. Using a panel of 28 S. cerevisiae transcription factors, including 2 that were previously uncharacterized, we demonstrated the ability to comprehensively identify both high- and low-affinity target sequences and directly measure relative binding affinities. We hope that both the extensive data set presented here (including affinity information for each transcription factor binding to 1457 oligonucleotide sequences) and future use of this technique help elucidate the fundamental mechanisms by which transcription factors regulate gene expression.
Click here to download the raw Mitomi v2 data from the paper. (18Mb zip archive)