Normal view MARC view ISBD view

Systems Biology of Apoptosis [electronic resource] / edited by Inna N. Lavrik.

By: Lavrik, Inna N [editor.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XII, 203 p. 52 illus., 34 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461440093.Subject(s): Life sciences | Medicine | Biological models | Cytology | Life Sciences | Systems Biology | Apoptosis | Biomedicine generalDDC classification: 570 Online resources: Click here to access online
Contents:
Preface -- Modeling formalisms in systems biology of apoptosis -- Systems biology of death receptor-induced apoptosis -- Systematic complexity reduction of signaling models and application to a CD95 signaling model for apoptosis -- Systems Biology of the Mitochondrial Apoptosis Pathway -- Systems biology of cell death in hepatocytes -- Understanding different types of cell death using Systems Biology -- Modeling Single Cells in Systems Biology -- Cytokine-cytokine crosstalk and cell-death decisions -- Genetic and genomic dissection of apoptosis signaling -- Index.
In: Springer eBooksSummary: Apoptosis is highly defined programmed cell death, which leads to the elimination of cells. Deregulation of programmed cell death is associated with serious diseases such as cancer, autoimmunity, AIDS and neurodegeneration. In recent years, apoptosis has been successfully studied using a systems biology approach. Systems biology is a novel field of science which combines mathematical modeling with experimental data leading to predictions of biological processes. The development of this field in recent years is fascinating. Studies of apoptosis using systems biology have provided novel insights into the quantitative regulation of cell death. In Systems Biology of Apoptosis, contemporary systems biology studies devoted to cell death signaling both from experimental and modeling sides is discussed, as well as a focus on how systems biology helps to understand life/death decisions made in the cell and the development of new approaches to rational treatment strategies.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Preface -- Modeling formalisms in systems biology of apoptosis -- Systems biology of death receptor-induced apoptosis -- Systematic complexity reduction of signaling models and application to a CD95 signaling model for apoptosis -- Systems Biology of the Mitochondrial Apoptosis Pathway -- Systems biology of cell death in hepatocytes -- Understanding different types of cell death using Systems Biology -- Modeling Single Cells in Systems Biology -- Cytokine-cytokine crosstalk and cell-death decisions -- Genetic and genomic dissection of apoptosis signaling -- Index.

Apoptosis is highly defined programmed cell death, which leads to the elimination of cells. Deregulation of programmed cell death is associated with serious diseases such as cancer, autoimmunity, AIDS and neurodegeneration. In recent years, apoptosis has been successfully studied using a systems biology approach. Systems biology is a novel field of science which combines mathematical modeling with experimental data leading to predictions of biological processes. The development of this field in recent years is fascinating. Studies of apoptosis using systems biology have provided novel insights into the quantitative regulation of cell death. In Systems Biology of Apoptosis, contemporary systems biology studies devoted to cell death signaling both from experimental and modeling sides is discussed, as well as a focus on how systems biology helps to understand life/death decisions made in the cell and the development of new approaches to rational treatment strategies.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue