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Quantitative approaches for investigating the spatial context of gene expression

The spatial information associated with gene expression is important for elucidating the context‐dependent transcriptional regulation during development. Recently, high‐resolution sampling approaches, such as RNA tomography or single‐cell RNA‐seq combined with fluorescence in situ hybridization (FIS...

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Detalles Bibliográficos
Autor principal: Lee, Je H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315614/
https://www.ncbi.nlm.nih.gov/pubmed/28001340
http://dx.doi.org/10.1002/wsbm.1369
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author Lee, Je H.
author_facet Lee, Je H.
author_sort Lee, Je H.
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description The spatial information associated with gene expression is important for elucidating the context‐dependent transcriptional regulation during development. Recently, high‐resolution sampling approaches, such as RNA tomography or single‐cell RNA‐seq combined with fluorescence in situ hybridization (FISH), have provided indirect ways to view global gene expression patterns in three dimensions. Now in situ sequencing technologies, such as fluorescent in situ sequencing (FISSEQ), are attempting to visualize the genetic signature directly in microscope images. This article will examine the basic principle of modern in situ and single‐cell genetic methods, hurdles in quantifying intrinsic and extrinsic forces that influence cell decision‐making, and technological requirements for making a visual map of gene regulation, form, and function. Successfully addressing these challenges will be essential for investigating the functional evolution of regulatory sequences during growth, development, and cancer progression. WIREs Syst Biol Med 2017, 9:e1369. doi: 10.1002/wsbm.1369 For further resources related to this article, please visit the WIREs website.
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spelling pubmed-53156142017-03-16 Quantitative approaches for investigating the spatial context of gene expression Lee, Je H. Wiley Interdiscip Rev Syst Biol Med Focus Articles The spatial information associated with gene expression is important for elucidating the context‐dependent transcriptional regulation during development. Recently, high‐resolution sampling approaches, such as RNA tomography or single‐cell RNA‐seq combined with fluorescence in situ hybridization (FISH), have provided indirect ways to view global gene expression patterns in three dimensions. Now in situ sequencing technologies, such as fluorescent in situ sequencing (FISSEQ), are attempting to visualize the genetic signature directly in microscope images. This article will examine the basic principle of modern in situ and single‐cell genetic methods, hurdles in quantifying intrinsic and extrinsic forces that influence cell decision‐making, and technological requirements for making a visual map of gene regulation, form, and function. Successfully addressing these challenges will be essential for investigating the functional evolution of regulatory sequences during growth, development, and cancer progression. WIREs Syst Biol Med 2017, 9:e1369. doi: 10.1002/wsbm.1369 For further resources related to this article, please visit the WIREs website. John Wiley & Sons, Inc. 2016-12-21 2017 /pmc/articles/PMC5315614/ /pubmed/28001340 http://dx.doi.org/10.1002/wsbm.1369 Text en © 2016 The Authors. WIREs Systems Biology and Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Focus Articles
Lee, Je H.
Quantitative approaches for investigating the spatial context of gene expression
title Quantitative approaches for investigating the spatial context of gene expression
title_full Quantitative approaches for investigating the spatial context of gene expression
title_fullStr Quantitative approaches for investigating the spatial context of gene expression
title_full_unstemmed Quantitative approaches for investigating the spatial context of gene expression
title_short Quantitative approaches for investigating the spatial context of gene expression
title_sort quantitative approaches for investigating the spatial context of gene expression
topic Focus Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315614/
https://www.ncbi.nlm.nih.gov/pubmed/28001340
http://dx.doi.org/10.1002/wsbm.1369
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