Quantitative biology of single neurons | Zendy

James Eberwine | Zendy; Ditte Lovatt | Zendy; Peter T. Buckley | Zendy; Hannah Dueck | Zendy; Chantal Francis | Zendy; Tae Kyung Kim | Zendy; Jaehee Lee | Zendy; Miler Lee | Zendy; Kevin Miyashiro | Zendy; Jacqueline Morris | Zendy; Tiina Peritz | Zendy; Terri Schochet | Zendy; Jennifer Spaethling | Zendy; JaiYoon Sul | Zendy; Junhyong Kim | Zendy

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Quantitative biology of single neurons

Author(s) -

James Eberwine,

Ditte Lovatt,

Peter T. Buckley,

Hannah Dueck,

Chantal Francis,

Tae Kyung Kim,

Jaehee Lee,

Miler Lee,

Kevin Miyashiro,

Jacqueline Morris,

Tiina Peritz,

Terri Schochet,

Jennifer Spaethling,

JaiYoon Sul,

Junhyong Kim

Publication year - 2012

Publication title -

journal of the royal society interface

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.655

H-Index - 139

eISSN - 1742-5689

pISSN - 1742-5662

DOI - 10.1098/rsif.2012.0417

Subject(s) - single cell analysis , systems biology , computational biology , biology , neuroscience , computer science , cell , genetics

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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