cfaed Seminar Series

cfaed Seminar Series

Peng Yin , Wyss Institute, Harvard University, USA

Nanoscale construction and imaging with DNA

21.11.2016 (Monday) , 11:00 - 12:00
CRTD, Auditorium, left , Fetscherstr. 105 , 01067 Dresden

Peng's work focusses on using synthetic DNA/RNA to construct, manipulate, and visualize nanoscale structures. They have developed a general framework to program DNA/RNA strands to self-assemble into structures with user-specified geometry or dynamics. By interfacing these nanostructures with other functional entities (e.g. fluorophores, proteins, inorganics, living cells), they have introduced digital programmability into diverse application areas, e.g. fabrication of inorganic nanoparticles with user-prescribed shapes, robust DNA/RNA probes with near optimal binding specificity for detecting single-base genetic changes, RNA-based synthetic regulators with unprecedented dynamic range and orthogonality for complex programming of protein translation in living cells and on paper-based systems, and highly multiplexed (10+), precisely quantitative (90%+ precision), ultra-high resolution (< 5 nm) super-resolution imaging using DNA-PAINT.

Everybody is welcome!

Recent publications:

Optical imaging of individual biomolecules in densely packed clusters, Nature Nanotechnology, 11, 798-807 (2016)
Quantitative super-resolution imaging with qPAINT, Nature Methods, 13, 439-442 (2016)
Genetic encoding of DNA nanostructures and their self-assembly in living bacteria, Nature Communications, 7, Article number: 11179, (2016)
Routing of individual polymers in designed patterns, Nature Nanotechnology 10, 892-898 (2015)
Casting inorganic structures with DNA molds, Science 346:1258361 (2014)
Paper-based synthetic gene networks, Cell159:940-954 (2014)
DNA brick crystals with prescribed depths, Nature Chemistry 6:994-1002 (2014)
Polyhedra self-assembled from DNA tripods and characterized with 3D DNA-PAINT, Science 344:65-69 (2014)

See also: https://wyss.harvard.edu/team/core-faculty/peng-yin/, http://molecular.systems

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