BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:EPFL BioE Talks SERIES  "Leveraging Microfluidics for High-Through
 put Biophysics\, Biochemistry\, and Single-Cell Biology"
DTSTART:20201019T160000
DTEND:20201019T163000
DTSTAMP:20260509T043017Z
UID:687596962a0f7eff6b77b7c5bcfd58ca1976435d6482282d71d4b96d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Polly Fordyce\, Stanford University\, Stanford\, CA (USA
 )\nWEEKLY EPFL BIOE TALKS SERIES\n\n(note that this talk is number one of 
 a double-feature seminar - see details of the second talk here)\n\nAbstrac
 t:\nRecent technological advances have led to an explosion in our knowledg
 e of the macromolecular parts that exist within cells. The next great biol
 ogical challenge lies in making quantitative measurements of the interacti
 ons between them and developing biophysical models that allow us to predic
 t their cellular consequences. To address this\, we have developed three n
 ew microfluidic platforms that retain the quantitative aspects of traditio
 nal\, one-at-a-time measurements while dramatically increasing their throu
 ghput. The first platform (HT-MEK\, for High-Throughput Microfluidic Enzym
 e Kinetics) allows quantitative measurement of thermodynamic and kinetic c
 onstants for up to 1\,500 different enzymes simultaneously. In recent work
 \, we have applied HT-MEK to map the functional effects of amino acid subs
 titutions throughout the enzyme scaffold of a model alkaline phosphatase a
 nd discovered surprising evidence that large contiguous groups of residues
  function in concert to tune particular aspects of catalysis.  The second
  platform (MRBLEs\, for Microspheres with Ratiometric Barcode Lanthanide E
 ncoding) is built around spectrally barcoded polymer beads with a large po
 tential coding space (>1\,100 unique codes)\, which we have applied toward
 s high-throughput measurement of protein/protein interaction affinities an
 d low-cost and sensitive multiplexed pathogen detection. The third platfor
 m (Dropception) allows ultra-high-throughput encapsulation of single cells
  within FACS-sortable double emulsion droplets. Together\, we hope that th
 ese new measurement technologies can be applied to address a broad range o
 f biological questions\, from understanding the determinants of molecular 
 interaction specificity to profiling single cell state.\n\nBio:\nPolly For
 dyce is an Assistant Professor of Genetics and Bioengineering and fellow o
 f the ChEM-H Institute at Stanford\, where her laboratory focuses on devel
 oping and applying new microfluidic platforms for quantitative\, high-thro
 ughput biophysics and biochemistry and single-cell genomics. She graduated
  from the University of Colorado at Boulder with undergraduate degrees in 
 physics and biology before moving to Stanford University\, where she earne
 d a Ph.D. in physics for work with Professor Steve Block developing instru
 mentation and assays for single-molecule studies of kinesin motor proteins
 . For her postdoctoral research\, she worked with Professor Joe DeRisi to 
 develop a new microfluidic platform for understanding how transcription fa
 ctors recognize and bind their DNA targets as well as a new technology for
  bead-based multiplexing. She is the recipient of a number of awards\, inc
 luding an NIH New Innovator Award and an Alfred P. Sloan Foundation Resear
 ch Fellowship\, and is a Chan Zuckerberg Biohub Investigator.\n\nEducation
 :\nPostdoctoral Fellow\, University of California San Francisco\, Biophysi
 cs (2014)\nPh.D.\, Stanford University\, Physics (2007)\nB.A.\, University
  of Colorado at Boulder\, Physics\, Biology (2000)\n\n\n\nZoom link (with 
 registration) for attending remotely: https://go.epfl.ch/EPFLBioETalks\n\n
 \nIMPORTANT NOTICE: due to restrictions resulting from the ongoing Covid-1
 9 situation\, this seminar can be followed via Zoom web-streaming only\, f
 ollowing prior one-time registration through the link above.
LOCATION:via Zoom web-streaming only\, due to Covid-19 situation https://g
 o.epfl.ch/EPFLBioETalks https://go.epfl.ch/EPFLBioETalks
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR