Measurement and Modeling of Signaling at the Single-Cell Level

It has long been recognized that a deeper understanding of cell function, with respect to execution of phenotypic behaviors and their regulation by the extracellular environment, is likely to be achieved by analyzing the underlying molecular processes for individual cells selected from across a popu...

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Detalhes bibliográficos
Principais autores: Kolitz, Sarah, Lauffenburger, Douglas A.
Outros Autores: Massachusetts Institute of Technology. Department of Biological Engineering
Formato: Artigo
Idioma:en_US
Publicado em: American Chemical Society (ACS) 2014
Acesso em linha:http://hdl.handle.net/1721.1/92346
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author Kolitz, Sarah
Lauffenburger, Douglas A.
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Kolitz, Sarah
Lauffenburger, Douglas A.
author_sort Kolitz, Sarah
collection MIT
description It has long been recognized that a deeper understanding of cell function, with respect to execution of phenotypic behaviors and their regulation by the extracellular environment, is likely to be achieved by analyzing the underlying molecular processes for individual cells selected from across a population, rather than averages of many cells comprising that population. In recent years, experimental and computational methods for undertaking these analyses have advanced rapidly. In this review, we provide a perspective on both measurement and modeling facets of biochemistry at a single-cell level. Our central focus is on receptor-mediated signaling networks that regulate cell phenotypic functions.
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spelling mit-1721.1/923462022-10-01T18:50:56Z Measurement and Modeling of Signaling at the Single-Cell Level Kolitz, Sarah Lauffenburger, Douglas A. Massachusetts Institute of Technology. Department of Biological Engineering Lauffenburger, Douglas A. Lauffenburger, Douglas A. Kolitz, Sarah It has long been recognized that a deeper understanding of cell function, with respect to execution of phenotypic behaviors and their regulation by the extracellular environment, is likely to be achieved by analyzing the underlying molecular processes for individual cells selected from across a population, rather than averages of many cells comprising that population. In recent years, experimental and computational methods for undertaking these analyses have advanced rapidly. In this review, we provide a perspective on both measurement and modeling facets of biochemistry at a single-cell level. Our central focus is on receptor-mediated signaling networks that regulate cell phenotypic functions. David H. Koch Institute for Integrative Cancer Research at MIT (Ludwig Fellowship) National Institutes of Health (U.S.) (grant R01-EB010246) National Institutes of Health (U.S.) (grant P50-GM68762) United States. Army Research Office (Institute for Collaborative Biotechnologies, Grant W911NF-09-0001) 2014-12-16T20:30:23Z 2014-12-16T20:30:23Z 2012-09 Article http://purl.org/eprint/type/JournalArticle 0006-2960 1520-4995 http://hdl.handle.net/1721.1/92346 Kolitz, Sarah E., and Douglas A. Lauffenburger. “Measurement and Modeling of Signaling at the Single-Cell Level.” Biochemistry 51, no. 38 (September 25, 2012): 7433–7443. en_US http://dx.doi.org/10.1021/bi300846p Biochemistry Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Chemical Society (ACS) Prof. Lauffenburger via Howard Silver
spellingShingle Kolitz, Sarah
Lauffenburger, Douglas A.
Measurement and Modeling of Signaling at the Single-Cell Level
title Measurement and Modeling of Signaling at the Single-Cell Level
title_full Measurement and Modeling of Signaling at the Single-Cell Level
title_fullStr Measurement and Modeling of Signaling at the Single-Cell Level
title_full_unstemmed Measurement and Modeling of Signaling at the Single-Cell Level
title_short Measurement and Modeling of Signaling at the Single-Cell Level
title_sort measurement and modeling of signaling at the single cell level
url http://hdl.handle.net/1721.1/92346
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