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Defining cell types and states with single-cell genomics

A revolution in cellular measurement technology is under way: For the first time, we have the ability to monitor global gene regulation in thousands of individual cells in a single experiment. Such experiments will allow us to discover new cell types and states and trace their developmental origins....

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Detalles Bibliográficos
Autor principal: Trapnell, Cole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579334/
https://www.ncbi.nlm.nih.gov/pubmed/26430159
http://dx.doi.org/10.1101/gr.190595.115
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author Trapnell, Cole
author_facet Trapnell, Cole
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description A revolution in cellular measurement technology is under way: For the first time, we have the ability to monitor global gene regulation in thousands of individual cells in a single experiment. Such experiments will allow us to discover new cell types and states and trace their developmental origins. They overcome fundamental limitations inherent in measurements of bulk cell population that have frustrated efforts to resolve cellular states. Single-cell genomics and proteomics enable not only precise characterization of cell state, but also provide a stunningly high-resolution view of transitions between states. These measurements may finally make explicit the metaphor that C.H. Waddington posed nearly 60 years ago to explain cellular plasticity: Cells are residents of a vast “landscape” of possible states, over which they travel during development and in disease. Single-cell technology helps not only locate cells on this landscape, but illuminates the molecular mechanisms that shape the landscape itself. However, single-cell genomics is a field in its infancy, with many experimental and computational advances needed to fully realize its full potential.
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spelling pubmed-45793342015-10-01 Defining cell types and states with single-cell genomics Trapnell, Cole Genome Res Perspective A revolution in cellular measurement technology is under way: For the first time, we have the ability to monitor global gene regulation in thousands of individual cells in a single experiment. Such experiments will allow us to discover new cell types and states and trace their developmental origins. They overcome fundamental limitations inherent in measurements of bulk cell population that have frustrated efforts to resolve cellular states. Single-cell genomics and proteomics enable not only precise characterization of cell state, but also provide a stunningly high-resolution view of transitions between states. These measurements may finally make explicit the metaphor that C.H. Waddington posed nearly 60 years ago to explain cellular plasticity: Cells are residents of a vast “landscape” of possible states, over which they travel during development and in disease. Single-cell technology helps not only locate cells on this landscape, but illuminates the molecular mechanisms that shape the landscape itself. However, single-cell genomics is a field in its infancy, with many experimental and computational advances needed to fully realize its full potential. Cold Spring Harbor Laboratory Press 2015-10 /pmc/articles/PMC4579334/ /pubmed/26430159 http://dx.doi.org/10.1101/gr.190595.115 Text en © 2015 Trapnell; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Perspective
Trapnell, Cole
Defining cell types and states with single-cell genomics
title Defining cell types and states with single-cell genomics
title_full Defining cell types and states with single-cell genomics
title_fullStr Defining cell types and states with single-cell genomics
title_full_unstemmed Defining cell types and states with single-cell genomics
title_short Defining cell types and states with single-cell genomics
title_sort defining cell types and states with single-cell genomics
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579334/
https://www.ncbi.nlm.nih.gov/pubmed/26430159
http://dx.doi.org/10.1101/gr.190595.115
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