Detection of Pneumonia Pathogens from PlasmaCell-Free DNAAmerican Journal of Respiratory Critical Care, 2020
Pan-viral serology implicates enteroviruses in acute flaccid myelitisNature Medicine, 2020
Plasmodium falciparum Resistance to a Lead Benzoxaborole Due to Blocked Compound Activation and Altered Ubiquitination or SumoylationAmerican Society of Microbiology, 2020
Exploratory analysis of the potential for advanced diagnostic testing to reduce healthcare expenditures of patients hospitalized with meningitis or encephalitisPLoS One, 2020
Unbiased Metagenomic Sequencing for Pediatric Meningitis in Bangladesh Reveals Neuroinvasive Chikungunya Virus Outbreak and Other Unrealized PathogensAmerican Society of Microbiology, 2019
Exploratory proteomic analysis implicates thealternative complement cascade in primary CNSvasculitisNeurology, 2019
An exploration of ambigrammatic sequences in narnavirusesScientific Reports, 2020
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.