Towards precision quantification of contamination in metagenomic sequencing experimentsMicrobiome, 2019
Metagenomic comparison of tracheal aspirate and mini-bronchial alveolar lavage for assessment of respiratory microbiotaAmerican Journal of Physiology, 2019
Miniaturization and optimization of 384-well compatible RNA sequencing library preparationPLOS One, 2019
Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adultsPNAS, 2018
Clinicopathology conference: 41‐year‐old woman with chronic relapsing meningitisAnnuls of Neurology, 2018
The Plasmodium falciparum cytoplasmic translation apparatus: a promising therapeutic target not yet exploited by clinically approved anti-malarialsMalaria Journal, 2018
Ebola virus, but not Marburg virus, replicates efficiently and without required adaptation in snake cellsVirus Evolution, 2018
We are pleased to introduce MITOMI 2.0, a microfluidic platform, developed in collaboration with the Quake lab at Stanford, 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 go to the raw data download.