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Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling

Transcriptional networks regulate cell fate decisions, which occur at the level of individual cells. However, much of what we know about their structure and function comes from studies averaging measurements over large populations of cells, many of which are functionally heterogeneous. Such studies...

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Detalles Bibliográficos
Autores principales: Moignard, Victoria, Göttgens, Berthold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: WILEY Periodicals, Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992849/
https://www.ncbi.nlm.nih.gov/pubmed/24470343
http://dx.doi.org/10.1002/bies.201300102
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author Moignard, Victoria
Göttgens, Berthold
author_facet Moignard, Victoria
Göttgens, Berthold
author_sort Moignard, Victoria
collection PubMed
description Transcriptional networks regulate cell fate decisions, which occur at the level of individual cells. However, much of what we know about their structure and function comes from studies averaging measurements over large populations of cells, many of which are functionally heterogeneous. Such studies conceal the variability between cells and so prevent us from determining the nature of heterogeneity at the molecular level. In recent years, many protocols and platforms have been developed that allow the high throughput analysis of gene expression in single cells, opening the door to a new era of biology. Here, we discuss the need for single cell gene expression analysis to gain deeper insights into the transcriptional control of cell fate decisions, and consider the insights it has provided so far into transcriptional regulatory networks in development.
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spelling pubmed-39928492014-04-22 Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling Moignard, Victoria Göttgens, Berthold Bioessays Prospects & Overviews Transcriptional networks regulate cell fate decisions, which occur at the level of individual cells. However, much of what we know about their structure and function comes from studies averaging measurements over large populations of cells, many of which are functionally heterogeneous. Such studies conceal the variability between cells and so prevent us from determining the nature of heterogeneity at the molecular level. In recent years, many protocols and platforms have been developed that allow the high throughput analysis of gene expression in single cells, opening the door to a new era of biology. Here, we discuss the need for single cell gene expression analysis to gain deeper insights into the transcriptional control of cell fate decisions, and consider the insights it has provided so far into transcriptional regulatory networks in development. WILEY Periodicals, Inc. 2014-04 2014-01-28 /pmc/articles/PMC3992849/ /pubmed/24470343 http://dx.doi.org/10.1002/bies.201300102 Text en © 2014 The Authors. Bioessays published by WILEY Periodicals, Inc. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Prospects & Overviews
Moignard, Victoria
Göttgens, Berthold
Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title_full Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title_fullStr Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title_full_unstemmed Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title_short Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
title_sort transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
topic Prospects & Overviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3992849/
https://www.ncbi.nlm.nih.gov/pubmed/24470343
http://dx.doi.org/10.1002/bies.201300102
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