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Knowledge discovery of cell-cell and...

Georgia Institute of Technology.

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Knowledge discovery of cell-cell and cell-surface interactions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Knowledge discovery of cell-cell and cell-surface interactions./
Author:	Su, Jing.
Description:	130 p.
Notes:	Adviser: J. Carson Meredith.
Contained By:	Dissertation Abstracts International69-04B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308833
ISBN:	9780549569664

Knowledge discovery of cell-cell and cell-surface interactions.
Su, Jing.

Knowledge discovery of cell-cell and cell-surface interactions. - 130 p.

Adviser: J. Carson Meredith.

Thesis (Ph.D.)--Georgia Institute of Technology, 2008.

In summary, the viewpoint of individual cells casts new light on the study of cell-cell and cell-surface interactions and represents a novel methodology for developing new data analysis and knowledge discovery methods.

ISBN: 9780549569664Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Knowledge discovery of cell-cell and cell-surface interactions.
LDR:03667nam 2200361 a 45 001 856745
005 20100709
008 100709s2008 ||||||||||||||||| ||eng d
020 $a 9780549569664
035 $a (UMI)AAI3308833
035 $a AAI3308833
040 $a UMI $c UMI
100 1 $a Su, Jing. $3 1023604
245 1 0 $a Knowledge discovery of cell-cell and cell-surface interactions.
300 $a 130 p.
500 $a Adviser: J. Carson Meredith.
500 $a Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2465.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2008.
520 $a In summary, the viewpoint of individual cells casts new light on the study of cell-cell and cell-surface interactions and represents a novel methodology for developing new data analysis and knowledge discovery methods.
520 $a High-throughput cell culture is an emerging technology that shows promise as a tool for research in tissue engineering, drug discovery, and medical diagnostics. An important, but overlooked, challenge is the integration of experimental methods with information processing suitable for handling large databases of cell-cell and cell-substrate interactions. In this work the traditional global descriptions of cell behaviors and surface characteristics was shown insufficient for investigating short-distance cell-to-cell and cell-to-surface interactions. Traditional summary metrics cannot distinguish information of cell near neighborhood from the average, global features, thus often is not suitable for studying distance-sensitive cell behaviors.
520 $a The problem of traditional summary metrics was addressed by introducing individual-cell based local metrics that emphasize cell local environment. An individual-cell based local data analysis method was established. Contact inhibition of cell proliferation was used as a benchmark for the effectiveness of the local metrics and the method. Where global, summary metrics were unsuccessful, the local metrics successfully and quantitatively distinguished the contact inhibition effects of MC3T3-E1 cells on PLGA, PCL, and TCPS surfaces.
520 $a In order to test the new metrics and analysis method in detail, a model of cell contact inhibition was proposed. Monte Carlo simulation was performed for validating the individual-cell based local data analysis method as well as the cell model itself. The simulation results well matched with the experimental observations. The parameters used in the cell model provided new descriptions of both cell behaviors and surface characteristics.
520 $a Based on the viewpoint of individual cells, the local metrics and local data analysis method were extended to the investigation of cell-surface interactions, and a new high-throughput screening and knowledge discovery method on combinatorial libraries, local cell-feature analysis, was developed. PLGA/PCL combinatorial libraries were used as a prototype and a "shaper and holder" phenomenon involving MC3T3-E1 cells interacting with PCL islands was discovered.
520 $a The results of contact inhibition study and the "shaper and holder" model provide new knowledge, while the local data analysis method as well as the cell model of contact inhibition suggested novel approaches to study cell-cell and cell-surface interactions.
590 $a School code: 0078.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Engineering, Materials Science. $3 1017759
690 $a 0541
690 $a 0542
690 $a 0715
690 $a 0794
710 2 $a Georgia Institute of Technology. $3 696730
773 0 $t Dissertation Abstracts International $g 69-04B.
790 $a 0078
790 1 0 $a Meredith, J. Carson, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308833