Abstract
Over the past several decades, to develop a fundamental understanding of lammation's progression, research has focused on extracellular mediators, such as cytokines, as characteristic components of lammatory response. These efforts have recently been complemented by advances in proteomics that allow analysis of multiple signaling proteins in parallel, to provide more complete mechanistic models of lammation. In this review, we discuss various techniques for assessing protein activity, as well as computational techniques that are well suited for interpreting large amounts of proteomic data to generate signaling networks or for modeling the dynamics of known network interactions. We also discuss examples that explore these experimental and computational techniques in tandem to generate signaling networks under various conditions and that link those networks to transcriptional activity. Further advancements in this field will likely provide an explicit description of lammatory response, paving the way for better diagnostics and therapies in clinic.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-28 |
| Number of pages | 28 |
| Journal | Annual Review of Biomedical Engineering |
| Volume | 15 |
| DOIs | |
| State | Published - Jul 1 2013 |
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All Science Journal Classification (ASJC) codes
- Medicine (miscellaneous)
- Biomedical Engineering
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Topology and dynamics of signaling networks : In search of transcriptional control of the inflammatory response. / Androulakis, Ioannis; Kamisoglu, Kubra; Mattick, John S.
In: Annual Review of Biomedical Engineering, Vol. 15, 01.07.2013, p. 1-28.Research output: Contribution to journal › Review article
TY - JOUR
T1 - Topology and dynamics of signaling networks
T2 - In search of transcriptional control of the inflammatory response
AU - Androulakis, Ioannis
AU - Kamisoglu, Kubra
AU - Mattick, John S.
PY - 2013/7/1
Y1 - 2013/7/1
N2 - Over the past several decades, to develop a fundamental understanding of lammation's progression, research has focused on extracellular mediators, such as cytokines, as characteristic components of lammatory response. These efforts have recently been complemented by advances in proteomics that allow analysis of multiple signaling proteins in parallel, to provide more complete mechanistic models of lammation. In this review, we discuss various techniques for assessing protein activity, as well as computational techniques that are well suited for interpreting large amounts of proteomic data to generate signaling networks or for modeling the dynamics of known network interactions. We also discuss examples that explore these experimental and computational techniques in tandem to generate signaling networks under various conditions and that link those networks to transcriptional activity. Further advancements in this field will likely provide an explicit description of lammatory response, paving the way for better diagnostics and therapies in clinic.
AB - Over the past several decades, to develop a fundamental understanding of lammation's progression, research has focused on extracellular mediators, such as cytokines, as characteristic components of lammatory response. These efforts have recently been complemented by advances in proteomics that allow analysis of multiple signaling proteins in parallel, to provide more complete mechanistic models of lammation. In this review, we discuss various techniques for assessing protein activity, as well as computational techniques that are well suited for interpreting large amounts of proteomic data to generate signaling networks or for modeling the dynamics of known network interactions. We also discuss examples that explore these experimental and computational techniques in tandem to generate signaling networks under various conditions and that link those networks to transcriptional activity. Further advancements in this field will likely provide an explicit description of lammatory response, paving the way for better diagnostics and therapies in clinic.
UR - http://www.scopus.com/inward/record.url?scp=84880550422&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880550422&partnerID=8YFLogxK
U2 - 10.1146/annurev-bioeng-071812-152425
DO - 10.1146/annurev-bioeng-071812-152425
M3 - Review article
C2 - 23862674
AN - SCOPUS:84880550422
VL - 15
SP - 1
EP - 28
JO - Annual Review of Biomedical Engineering
JF - Annual Review of Biomedical Engineering
SN - 1523-9829
ER -