Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782247750987939840 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3481569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT eberwinejames quantitativebiologyofsingleneurons AT lovattditte quantitativebiologyofsingleneurons AT buckleypeter quantitativebiologyofsingleneurons AT dueckhannah quantitativebiologyofsingleneurons AT francischantal quantitativebiologyofsingleneurons AT kimtaekyung quantitativebiologyofsingleneurons AT leejaehee quantitativebiologyofsingleneurons AT leemiler quantitativebiologyofsingleneurons AT miyashirokevin quantitativebiologyofsingleneurons AT morrisjacqueline quantitativebiologyofsingleneurons AT peritztiina quantitativebiologyofsingleneurons AT schochetterri quantitativebiologyofsingleneurons AT spaethlingjennifer quantitativebiologyofsingleneurons AT suljaiyoon quantitativebiologyofsingleneurons AT kimjunhyong quantitativebiologyofsingleneurons |