Quantitative modeling perspectives on the ErbB system of cell regulatory processes
The complexities of the processes involved in ErbB-mediated regulation of cellular phenotype are broadly appreciated, so much so that it might be reasonably argued that this highly studied system provided significant impetus for the systems perspective on cell signaling processes in general. Recent...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Elsevier
2010
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| Online Access: | http://hdl.handle.net/1721.1/60316 |
| _version_ | 1811086936762220544 |
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| author | Lazzara, Matthew J. Lauffenburger, Douglas A. |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Lazzara, Matthew J. Lauffenburger, Douglas A. |
| author_sort | Lazzara, Matthew J. |
| collection | MIT |
| description | The complexities of the processes involved in ErbB-mediated regulation of cellular phenotype are broadly appreciated, so much so that it might be reasonably argued that this highly studied system provided significant impetus for the systems perspective on cell signaling processes in general. Recent years have seen major advances in the level of characterization of the ErbB system as well as our ability to make measurements of the system. This new data provides significant new insight, while at the same time creating new challenges for making quantitative statements and predictions with certainty. Here, we discuss recent advances in each of these directions and the interplay between them, with a particular focus on quantitative modeling approaches to interpret data and provide predictive power. Our discussion follows the sequential order of ErbB pathway activation, beginning with considerations of receptor/ligand interactions and dynamics, proceeding to the generation of intracellular signals, and ending with determination of cellular phenotype. As discussed herein, these processes become increasingly difficult to describe or interpret in terms of traditional models, and we review emerging methodologies to address this complexity. |
| first_indexed | 2024-09-23T13:37:10Z |
| format | Article |
| id | mit-1721.1/60316 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:37:10Z |
| publishDate | 2010 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/603162022-09-28T15:04:42Z Quantitative modeling perspectives on the ErbB system of cell regulatory processes Lazzara, Matthew J. Lauffenburger, Douglas A. Massachusetts Institute of Technology. Department of Biological Engineering Lauffenburger, Douglas A. Lauffenburger, Douglas A. The complexities of the processes involved in ErbB-mediated regulation of cellular phenotype are broadly appreciated, so much so that it might be reasonably argued that this highly studied system provided significant impetus for the systems perspective on cell signaling processes in general. Recent years have seen major advances in the level of characterization of the ErbB system as well as our ability to make measurements of the system. This new data provides significant new insight, while at the same time creating new challenges for making quantitative statements and predictions with certainty. Here, we discuss recent advances in each of these directions and the interplay between them, with a particular focus on quantitative modeling approaches to interpret data and provide predictive power. Our discussion follows the sequential order of ErbB pathway activation, beginning with considerations of receptor/ligand interactions and dynamics, proceeding to the generation of intracellular signals, and ending with determination of cellular phenotype. As discussed herein, these processes become increasingly difficult to describe or interpret in terms of traditional models, and we review emerging methodologies to address this complexity. National Cancer Institute (U.S.). Integrative Cancer Biology Program (U54-CA112967) National Cancer Institute (U.S.) (R01-CA096504) 2010-12-17T20:49:25Z 2010-12-17T20:49:25Z 2008-11 2008-10 Article http://purl.org/eprint/type/JournalArticle 0014-4827 1090-2422 http://hdl.handle.net/1721.1/60316 Lazzara, Matthew J., and Douglas A. Lauffenburger. “Quantitative modeling perspectives on the ErbB system of cell regulatory processes.” Experimental Cell Research 315.4 (2009): 717-725. en_US http://dx.doi.org/10.1016/j.yexcr.2008.10.033 Experimental Cell Research Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Elsevier Prof. Lauffenburger |
| spellingShingle | Lazzara, Matthew J. Lauffenburger, Douglas A. Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title | Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title_full | Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title_fullStr | Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title_full_unstemmed | Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title_short | Quantitative modeling perspectives on the ErbB system of cell regulatory processes |
| title_sort | quantitative modeling perspectives on the erbb system of cell regulatory processes |
| url | http://hdl.handle.net/1721.1/60316 |
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