Functional Assessment of 2,177 U.S. and International Drugs Identifies the Quinoline Nitroxoline as a Potent Amoebicidal Agent against the Pathogen Balamuthia mandrillarisAmerican Society for Microbiology, 2018
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence toleranceBiology Open, 2018
Whole-Genome mRNA Gene Expression Differs Between Patients With and Without DeliriumSage Journals, 2018
Avian keratin disorder of Alaska black-capped chickadees is associated with Poecivirus infectionVirology Journal, 2018
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
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.