Linked Life Data

18094768

Source:http://linkedlifedata.com/resource/pubmed/id/18094768

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-12-20
pubmed:abstractText
The temporal pattern of a biological stimulus is an important determinant of the resulting cellular response. We present a microfluidic parallel perfusion culture system for controlling the dynamics of soluble cell microenvironments while simultaneously performing live-cell imaging of cellular responses. A "Flow-encoded Switching" (FES) design strategy is developed to simultaneously deliver many different temporal profiles of stimuli, including pulse train widths, lengths, and frequencies, to downstream adherent cells using a single input control. The design strategy uses principles of laminar flow and diffusion-limited mixing to encode the state of the network (the instantaneous stimulus concentrations in each channel) into the ratio of two flow rates, which is controlled by a single differential pressure. To demonstrate the utility of this experimental system, we investigated the effect of dynamic stimuli on NFkappaB transcriptional activation and cell fate determination. Our results illustrate that transcriptional responses and cell fate decisions depend both quantitatively and qualitatively on the timing of the stimulus. In summary, by encoding dynamic stimuli in a single input pressure, microfluidic flow-encoded switching offers a scalable experimental method for systematically probing the functional significance of temporally patterned cellular environments.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1473-0197
pubmed:author
pubmed:issnType
Print
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
107-16
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Microfluidic flow-encoded switching for parallel control of dynamic cellular microenvironments.
pubmed:affiliation
Harvard-MIT, Division of Health Science and Technology, 51 Blosson St., Rm 408, Boston, MA 02114, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural