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Technische Universität München

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Sitemap > Veranstaltungen und Termine > A microfluidic platform for massively parallel measurements of biomolecular interaction kinetics

 Vortrag

A microfluidic platform for massively parallel measurements of biomolecular interaction kinetics

Mittwoch 02.11.2011, 18:00 - 19:00



Veranstaltungsort:

LMU, Theresienstraße 39, room B 004 

Vortragender
Dr. Marcel Geertz

Colloquium Bioinformatics and Systems Biology

Systems and synthetic biology heavily rely on quantitative data. Most efforts in biology have thus far focused on inventorying and mapping genomes and proteomes. Genome sequencing and gene expression analysis have provided insight into genomic architecture, and functional genomics approaches have mapped network topologies. However, network topologies alone are not sufficient to model complex biological processes. Precise quantitative dynamic information describing each node of a network is instead necessary. Here we present an integrated microfluidic device based on MITOMI (mechanically induced trapping of molecular interactions), capable of characterizing 768 independent biomolecular association and dissociation rates in parallel. MITOMI is a versatile detection platform capable of measuring a variety of biomolecular interactions including protein-protein, protein-DNA, protein-RNA, and protein-small molecule. We applied our platform to the high-throughput characterization of transcription factor (TF) - DNA interactions. To measure kinetic rate parameters our kinetic MITOMI platform (MITOKI) uses rapid and repeated actuations of the MITOMI "buttons" to follow the association and dissociation of fluorescently labeled molecules to surface bound proteins. Using this process we measured the association and dissociation kinetics of 220 DNA sequences (all 3mer ZF variants) to ZIF268 in triplicates. We also measured the kinetics of 48 yeast TF DBD with their cognate DNA binding sequences in parallel on a single device. All 48 TF DBDs were synthesized, immobilized, and characterized on-chip. Our platform captures on average 22'000+ data points in a single experiment.

Veranstalter
TUM, LMU, Recess

Ansprechpartner
Prof. H.W. Mewes, TU München


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