title: Engineering challenges of BioNEMS: the integration of microfluidics, micro- and nanodevices, models and external control for systems biology.
abstract: Systems biology, i.e. quantitative, postgenomic, postproteomic, dynamic, multiscale physiology, addresses in an integrative, quantitative manner the shockwave of genetic and proteomic information using computer models that may eventually have 10(6) dynamic variables with non-linear interactions. Historically, single biological measurements are made over minutes, suggesting the challenge of specifying 10(6) model parameters. Except for fluorescence and micro-electrode recordings, most cellular measurements have inadequate bandwidth to discern the time course of critical intracellular biochemical events. Micro-array expression profiles of thousands of genes cannot determine quantitative dynamic cellular signalling and metabolic variables. Major gaps must be bridged between the computational vision and experimental reality. The analysis of cellular signalling dynamics and control requires, first, micro- and nano-instruments that measure simultaneously multiple extracellular and intracellular variables with sufficient bandwidth; secondly, the ability to open existing internal control and signalling loops; thirdly, external BioMEMS micro-actuators that provide high bandwidth feedback and externally addressable intracellular nano-actuators; and, fourthly, real-time, closed-loop, single-cell control algorithms. The unravelling of the nested and coupled nature of cellular control loops requires simultaneous recording of multiple single-cell signatures. Externally controlled nano-actuators, needed to effect changes in the biochemical, mechanical and electrical environment both outside and inside the cell, will provide a major impetus for nanoscience.
authors.affiliation: Vanderbilt Institute for Integrative Biosystems Research & Education, Nashville, TN 37235, USA. john.wikswo@vanderbilt.edu
authors.forename: J P
authors.initials: JP
authors.lastname: Wikswo
authors.forename: A
authors.initials: A
authors.lastname: Prokop
authors.forename: F
authors.initials: F
authors.lastname: Baudenbacher
authors.forename: D
authors.initials: D
authors.lastname: Cliffel
authors.forename: B
authors.initials: B
authors.lastname: Csukas
authors.forename: M
authors.initials: M
authors.lastname: Velkovsky
mesh_terms: D000818:Animals; D001698:Biomedical Engineering / Q000295:instrumentation* / Q000379:methods / Q000639:trends; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D004867:Equipment Design; D005246:Feedback / Q000502:physiology; D006801:Humans; D046210:Microfluidic Analytical Techniques / Q000295:instrumentation* / Q000379:methods / Q000639:trends; D008954:Models, Biological; D036103:Nanotechnology / Q000295:instrumentation* / Q000379:methods / Q000639:trends*; D049490:Systems Biology / Q000295:instrumentation* / Q000379:methods / Q000639:trends*; D013673:Technology Assessment, Biomedical