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Modeling and targeting signal transd...

Kharait, Sourabh Prakash.

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Modeling and targeting signal transduction pathways governing cell migration.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and targeting signal transduction pathways governing cell migration./
Author:	Kharait, Sourabh Prakash.
Description:	144 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3074.
Contained By:	Dissertation Abstracts International67-06B.
Subject:	Biology, Molecular. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3223991
ISBN:	9780542748028

Modeling and targeting signal transduction pathways governing cell migration.
Kharait, Sourabh Prakash.

Modeling and targeting signal transduction pathways governing cell migration. - 144 p.

Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3074.

Thesis (Ph.D.)--University of Pittsburgh, 2006.

Cell migration is a complex biophysical event that is dysregulated in a variety of human diseases including cancer. The ability of tumor cells to migrate enables cancer dissemination causing significant mortality thus making it an important therapeutic target. Motility is exhibited epigenetically by activation of numerous signaling pathways that transmit extracellular cues to the final effectors of cell movement. Such signaling switches are a part of larger and highly complex signaling (proteomic) networks that are under the control of numerous activators or inhibitors. Although majority of the proteins that are 'required' during cell motility have been identified, it is yet unclear wherein they fit within the signaling network to govern motility. Thus, a 'systems biology' approach is needed to understand the complex interplay of signaling cascades in mediating cell motility so that better therapeutic targets can be defined.

ISBN: 9780542748028Subjects--Topical Terms:

1017719
Biology, Molecular.

Modeling and targeting signal transduction pathways governing cell migration.
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100 1 $a Kharait, Sourabh Prakash. $3 1920825
245 1 0 $a Modeling and targeting signal transduction pathways governing cell migration.
300 $a 144 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3074.
500 $a Adviser: Alan Wells.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2006.
520 $a Cell migration is a complex biophysical event that is dysregulated in a variety of human diseases including cancer. The ability of tumor cells to migrate enables cancer dissemination causing significant mortality thus making it an important therapeutic target. Motility is exhibited epigenetically by activation of numerous signaling pathways that transmit extracellular cues to the final effectors of cell movement. Such signaling switches are a part of larger and highly complex signaling (proteomic) networks that are under the control of numerous activators or inhibitors. Although majority of the proteins that are 'required' during cell motility have been identified, it is yet unclear wherein they fit within the signaling network to govern motility. Thus, a 'systems biology' approach is needed to understand the complex interplay of signaling cascades in mediating cell motility so that better therapeutic targets can be defined.
520 $a We utilized a mathematical modeling approach, called decision tree analysis to map the interplay between five key signaling proteins known to regulate vital biophysical processes of fibroblast motility downstream of EGF receptor activation. Interestingly, our model identified myosin light chain (MLC) mediated cell contractility as a crucial node for maximal motility. Even more non-intuitively the decision tree model predicted that subtotal inhibition of MLC can actually increase motility. Confirmatory experiments with fibroblasts and cancer cells have shown that to be the case.
520 $a Since the model proposed that total abrogation of contractility can limit cell migration, we asked if such an intervention can limit tumor invasion. Since PKCdelta is implicated in EGF receptor mediated transcellular contractility, we abrogated PKCdelta using pharmacological (Rottlerin) and molecular (RNAi) interventions. Such depletion of PKCdelta reduced migration as well as invasiveness of prostate carcinoma cells predominantly by decreasing their contractility through myosin light chain (MLC). Additionally, activation of PKCdelta correlated with human prostate cancer progression as assessed by immunohistochemistry of prostate tissue sections.
520 $a In summation our studies illustrate the importance of quantitative (total versus subtotal) disruption of key signaling nodes in mediating a desired cell response. Novel computational modeling approaches are needed to identify newer molecular switches from existing proteomic networks that can be explored, using classical experimental methods, as therapeutic targets.
590 $a School code: 0178.
650 4 $a Biology, Molecular. $3 1017719
650 4 $a Health Sciences, Pathology. $3 1017854
650 4 $a Biophysics, General. $3 1019105
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710 2 0 $a University of Pittsburgh. $3 958527
773 0 $t Dissertation Abstracts International $g 67-06B.
790 1 0 $a Wells, Alan, $e advisor
790 $a 0178
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3223991