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MiCASA is a new method for quantifying cellular organization
While many tools exist for identifying and quantifying individual cell types, few methods are available to assess the relationships between cell types in organs and tissues and how these relationships change during aging or disease states. We present a quantitative method for evaluating cellular org...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493597/ https://www.ncbi.nlm.nih.gov/pubmed/28555660 http://dx.doi.org/10.1038/ncomms15619 |
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author | Sornborger, Andrew Li, Jie Timmons, Cullen Lupu, Floria Eggenschwiler, Jonathan Takahama, Yousuke Manley, Nancy R. |
author_facet | Sornborger, Andrew Li, Jie Timmons, Cullen Lupu, Floria Eggenschwiler, Jonathan Takahama, Yousuke Manley, Nancy R. |
author_sort | Sornborger, Andrew |
collection | PubMed |
description | While many tools exist for identifying and quantifying individual cell types, few methods are available to assess the relationships between cell types in organs and tissues and how these relationships change during aging or disease states. We present a quantitative method for evaluating cellular organization, using the mouse thymus as a test organ. The thymus is the primary lymphoid organ responsible for generating T cells in vertebrates, and its proper structure and organization is essential for optimal function. Our method, Multitaper Circularly Averaged Spectral Analysis (MiCASA), identifies differences in the tissue-level organization with high sensitivity, including defining a novel type of phenotype by measuring variability as a specific parameter. MiCASA provides a novel and easily implemented quantitative tool for assessing cellular organization. |
format | Online Article Text |
id | pubmed-5493597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54935972017-07-11 MiCASA is a new method for quantifying cellular organization Sornborger, Andrew Li, Jie Timmons, Cullen Lupu, Floria Eggenschwiler, Jonathan Takahama, Yousuke Manley, Nancy R. Nat Commun Article While many tools exist for identifying and quantifying individual cell types, few methods are available to assess the relationships between cell types in organs and tissues and how these relationships change during aging or disease states. We present a quantitative method for evaluating cellular organization, using the mouse thymus as a test organ. The thymus is the primary lymphoid organ responsible for generating T cells in vertebrates, and its proper structure and organization is essential for optimal function. Our method, Multitaper Circularly Averaged Spectral Analysis (MiCASA), identifies differences in the tissue-level organization with high sensitivity, including defining a novel type of phenotype by measuring variability as a specific parameter. MiCASA provides a novel and easily implemented quantitative tool for assessing cellular organization. Nature Publishing Group 2017-05-30 /pmc/articles/PMC5493597/ /pubmed/28555660 http://dx.doi.org/10.1038/ncomms15619 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Sornborger, Andrew Li, Jie Timmons, Cullen Lupu, Floria Eggenschwiler, Jonathan Takahama, Yousuke Manley, Nancy R. MiCASA is a new method for quantifying cellular organization |
title | MiCASA is a new method for quantifying cellular organization |
title_full | MiCASA is a new method for quantifying cellular organization |
title_fullStr | MiCASA is a new method for quantifying cellular organization |
title_full_unstemmed | MiCASA is a new method for quantifying cellular organization |
title_short | MiCASA is a new method for quantifying cellular organization |
title_sort | micasa is a new method for quantifying cellular organization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493597/ https://www.ncbi.nlm.nih.gov/pubmed/28555660 http://dx.doi.org/10.1038/ncomms15619 |
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