Literature DB >> 16948492

Engineering challenges of BioNEMS: the integration of microfluidics, micro- and nanodevices, models and external control for systems biology.

J P Wikswo1, A Prokop, F Baudenbacher, D Cliffel, B Csukas, M Velkovsky.   

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.

Mesh:

Year:  2006        PMID: 16948492     DOI: 10.1049/ip-nbt:20050045

Source DB:  PubMed          Journal:  IEE Proc Nanobiotechnol        ISSN: 1478-1581


  27 in total

1.  The impact of Ivan Málek's continuous culture concept on bioprocessing.

Authors:  Pavel Kyslík; Aleš Prokop
Journal:  J Ind Microbiol Biotechnol       Date:  2010-11-18       Impact factor: 3.346

2.  Towards monitoring real-time cellular response using an integrated microfluidics-matrix assisted laser desorption ionisation/nanoelectrospray ionisation-ion mobility-mass spectrometry platform.

Authors:  J R Enders; C C Marasco; A Kole; B Nguyen; S Sevugarajan; K T Seale; J P Wikswo; J A McLean
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

3.  Automated reverse engineering of nonlinear dynamical systems.

Authors:  Josh Bongard; Hod Lipson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-06       Impact factor: 11.205

4.  Mechanistic analysis of challenge-response experiments.

Authors:  M S Shotwell; K J Drake; V Y Sidorov; J P Wikswo
Journal:  Biometrics       Date:  2013-07-16       Impact factor: 2.571

Review 5.  Managing evaporation for more robust microscale assays. Part 1. Volume loss in high throughput assays.

Authors:  Erwin Berthier; Jay Warrick; Hongmeiy Yu; David J Beebe
Journal:  Lab Chip       Date:  2008-04-08       Impact factor: 6.799

Review 6.  From data patterns to mechanistic models in acute critical illness.

Authors:  Jean-Marie Aerts; Wassim M Haddad; Gary An; Yoram Vodovotz
Journal:  J Crit Care       Date:  2014-03-29       Impact factor: 3.425

Review 7.  From cardiac tissue engineering to heart-on-a-chip: beating challenges.

Authors:  Yu Shrike Zhang; Julio Aleman; Andrea Arneri; Simone Bersini; Francesco Piraino; Su Ryon Shin; Mehmet Remzi Dokmeci; Ali Khademhosseini
Journal:  Biomed Mater       Date:  2015-06-11       Impact factor: 3.715

8.  Engineering challenges for instrumenting and controlling integrated organ-on-chip systems.

Authors:  John P Wikswo; Frank E Block; David E Cliffel; Cody R Goodwin; Christina C Marasco; Dmitry A Markov; David L McLean; John A McLean; Jennifer R McKenzie; Ronald S Reiserer; Philip C Samson; David K Schaffer; Kevin T Seale; Stacy D Sherrod
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

9.  Microfluidic platform for real-time signaling analysis of multiple single T cells in parallel.

Authors:  Shannon Faley; Kevin Seale; Jacob Hughey; David K Schaffer; Scott VanCompernolle; Brett McKinney; Franz Baudenbacher; Derya Unutmaz; John P Wikswo
Journal:  Lab Chip       Date:  2008-08-19       Impact factor: 6.799

Review 10.  Nanovehicular intracellular delivery systems.

Authors:  Ales Prokop; Jeffrey M Davidson
Journal:  J Pharm Sci       Date:  2008-09       Impact factor: 3.534

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