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Quantitative biology of single neurons

The building blocks of complex biological systems are single cells. Fundamental insights gained from single-cell analysis promise to provide the framework for understanding normal biological systems development as well as the limits on systems/cellular ability to respond to disease. The interplay of...

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Detalles Bibliográficos
Autores principales: Eberwine, James, Lovatt, Ditte, Buckley, Peter, Dueck, Hannah, Francis, Chantal, Kim, Tae Kyung, Lee, Jaehee, Lee, Miler, Miyashiro, Kevin, Morris, Jacqueline, Peritz, Tiina, Schochet, Terri, Spaethling, Jennifer, Sul, Jai-Yoon, Kim, Junhyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481569/
https://www.ncbi.nlm.nih.gov/pubmed/22915636
http://dx.doi.org/10.1098/rsif.2012.0417
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author Eberwine, James
Lovatt, Ditte
Buckley, Peter
Dueck, Hannah
Francis, Chantal
Kim, Tae Kyung
Lee, Jaehee
Lee, Miler
Miyashiro, Kevin
Morris, Jacqueline
Peritz, Tiina
Schochet, Terri
Spaethling, Jennifer
Sul, Jai-Yoon
Kim, Junhyong
author_facet Eberwine, James
Lovatt, Ditte
Buckley, Peter
Dueck, Hannah
Francis, Chantal
Kim, Tae Kyung
Lee, Jaehee
Lee, Miler
Miyashiro, Kevin
Morris, Jacqueline
Peritz, Tiina
Schochet, Terri
Spaethling, Jennifer
Sul, Jai-Yoon
Kim, Junhyong
author_sort Eberwine, James
collection PubMed
description The building blocks of complex biological systems are single cells. Fundamental insights gained from single-cell analysis promise to provide the framework for understanding normal biological systems development as well as the limits on systems/cellular ability to respond to disease. The interplay of cells to create functional systems is not well understood. Until recently, the study of single cells has concentrated primarily on morphological and physiological characterization. With the application of new highly sensitive molecular and genomic technologies, the quantitative biochemistry of single cells is now accessible.
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spelling pubmed-34815692012-10-30 Quantitative biology of single neurons Eberwine, James Lovatt, Ditte Buckley, Peter Dueck, Hannah Francis, Chantal Kim, Tae Kyung Lee, Jaehee Lee, Miler Miyashiro, Kevin Morris, Jacqueline Peritz, Tiina Schochet, Terri Spaethling, Jennifer Sul, Jai-Yoon Kim, Junhyong J R Soc Interface Review Articles The building blocks of complex biological systems are single cells. Fundamental insights gained from single-cell analysis promise to provide the framework for understanding normal biological systems development as well as the limits on systems/cellular ability to respond to disease. The interplay of cells to create functional systems is not well understood. Until recently, the study of single cells has concentrated primarily on morphological and physiological characterization. With the application of new highly sensitive molecular and genomic technologies, the quantitative biochemistry of single cells is now accessible. The Royal Society 2012-12-07 2012-08-22 /pmc/articles/PMC3481569/ /pubmed/22915636 http://dx.doi.org/10.1098/rsif.2012.0417 Text en This journal is © 2012 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Articles
Eberwine, James
Lovatt, Ditte
Buckley, Peter
Dueck, Hannah
Francis, Chantal
Kim, Tae Kyung
Lee, Jaehee
Lee, Miler
Miyashiro, Kevin
Morris, Jacqueline
Peritz, Tiina
Schochet, Terri
Spaethling, Jennifer
Sul, Jai-Yoon
Kim, Junhyong
Quantitative biology of single neurons
title Quantitative biology of single neurons
title_full Quantitative biology of single neurons
title_fullStr Quantitative biology of single neurons
title_full_unstemmed Quantitative biology of single neurons
title_short Quantitative biology of single neurons
title_sort quantitative biology of single neurons
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3481569/
https://www.ncbi.nlm.nih.gov/pubmed/22915636
http://dx.doi.org/10.1098/rsif.2012.0417
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