Low-Cost Touchscreen Driven Programmable Dual Syringe Pump for Life Science ApplicationsScience Direct, 2018
Metagenomic next-generation sequencing reveals Miamiensis avidus (Ciliophora: Scuticociliatida) in the 2017 epizootic of leopard sharks (Triakis semifasciata) in San Francisco Bay, CaliforniaBioRxiv, 2018
Chronic Meningitis Investigated via Metagenomic Next-Generation SequencingJAMA Network, 2018
Metagenomic Sequencing Detects Respiratory Pathogens in Hematopoietic Cellular Transplant PatientsAmerican Journal of Respiratory and Critical Care Medicine, 2018
Complete Genome Sequence of a Divergent Human Rhinovirus C Isolate from an Infant with Severe Community- Acquired Pneumonia in Colorado, USAASM, 2017
Topical silver diamine fluoride for dental caries arrest in preschool children: A randomized controlled trial and microbiological analysis of caries associated microbes and resistance gene expressionJournal of Dentistry, 2017
IFN-stimulated Gene Expression, Type 2 Inflammation, and Endoplasmic Reticulum Stress in AsthmaATS Journals, 2017
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.