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Engineering the living-nonliving int...

University of California, Berkeley.

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Engineering the living-nonliving interface: New techniques for studying T-cell recognition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering the living-nonliving interface: New techniques for studying T-cell recognition./
Author:	Nye, Jeffrey Allen.
Description:	119 p.
Notes:	Advisers: Jay Groves; David Schaffer.
Contained By:	Dissertation Abstracts International69-09B.
Subject:	Biophysics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3331733
ISBN:	9780549832638

Engineering the living-nonliving interface: New techniques for studying T-cell recognition.
Nye, Jeffrey Allen.

Engineering the living-nonliving interface: New techniques for studying T-cell recognition. - 119 p.

Advisers: Jay Groves; David Schaffer.

Thesis (Ph.D.)--University of California, Berkeley, 2008.

The tools developed here are widely applicable to problems in T-cell signaling and we propose several directions for future experimentation.

ISBN: 9780549832638Subjects--Topical Terms:

1019105
Biophysics, General.

Engineering the living-nonliving interface: New techniques for studying T-cell recognition.
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020 $a 9780549832638
035 $a (UMI)AAI3331733
035 $a AAI3331733
040 $a UMI $c UMI
100 1 $a Nye, Jeffrey Allen. $3 1036418
245 1 0 $a Engineering the living-nonliving interface: New techniques for studying T-cell recognition.
300 $a 119 p.
500 $a Advisers: Jay Groves; David Schaffer.
500 $a Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5601.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2008.
520 $a The tools developed here are widely applicable to problems in T-cell signaling and we propose several directions for future experimentation.
520 $a Spatial reorganization of membrane proteins is emerging as a critical method by which cells modulate signaling. However, difficulty remains in the design of experimental systems to explore the dynamics of such reaction networks quantitatively. Silica-supported lipid bilayers (SLBs) are ideally suited to this task, providing well-controlled, biofunctional surfaces that maintain the hallmark two-dimensional fluidity of cellular membranes. We seek to expand the utility of SLBs as platforms for biological experimentation by developing tools for the straightforward incorporation, manipulation and measurement of biomolecules in fluid lipid layers.
520 $a Here we describe methods of forming and characterizing SLBs, and demonstrate the efficacy of nickel-chelating lipids for reversibly tethering polyhistidine-tagged proteins to bilayers in a fluid manner. With a combination of experimentation and kinetic modeling, we reveal the non-equilibrium behavior that governs adsorption in such systems, and establish guidelines for the efficient design of surfaces with known protein density.
520 $a We then employ surfaces functionalized with polyhistidine-tagged proteins to investigate protein sorting in the immunological synapse. After briefly outlining the historical development of model membrane systems as tools for studying T-cell activation, we form and characterize hybrid immunological synapses between live T-cells and protein-functionalized SLBs. With novel fluorescent fusion proteins we track the dynamics of synaptic assembly, and show that micron-scale sorting in the synapse arises from differential force coupling to the actin cytoskeleton. Artificially cross-linking proteins on the T-cell surface biases their distribution towards the center, suggesting that the radial position of proteins in the mature synapse is determined by their clustering state, and thus, the valency of their attachment to centripetal actin flow.
590 $a School code: 0028.
650 4 $a Biophysics, General. $3 1019105
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Health Sciences, Immunology. $3 1017716
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690 $a 0786
690 $a 0982
710 2 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 69-09B.
790 $a 0028
790 1 0 $a Groves, Jay, $e advisor
790 1 0 $a Schaffer, David, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3331733