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Coexpression analyses
This chapter focuses on the different ways to do coexpression analysis. It is important to stress that coexpression analysis is not just testing a given tissue for two or more targets using two or more chromogens and then using a system such as a Nuance to dissect the data. Although this approach is...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484744/ http://dx.doi.org/10.1016/B978-0-12-820653-9.00011-0 |
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author | Nuovo, Gerard J. |
author_facet | Nuovo, Gerard J. |
author_sort | Nuovo, Gerard J. |
collection | PubMed |
description | This chapter focuses on the different ways to do coexpression analysis. It is important to stress that coexpression analysis is not just testing a given tissue for two or more targets using two or more chromogens and then using a system such as a Nuance to dissect the data. Although this approach is certainly useful, many times you can do coexpression analysis on a given tissue with just one chromogen. This can be achieved when the two (or more) different targets localize to either different cell types or different subcellular compartments. This chapter also stresses the importance of using serial sections whenever doing coexpression analysis. This allows you to analyze the same groups of cells for two or more targets separately and then to do the coexpression analysis on the same tissue. In most cases, the analysis of the serial section data will allow you to reach the key conclusions about the relative distribution of the two or more targets. Finally, this chapter gives a great deal of attention to the coexpression analysis of a microRNA and its putative target, given the importance of this topic to microRNA research. |
format | Online Article Text |
id | pubmed-7484744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74847442020-09-11 Coexpression analyses Nuovo, Gerard J. In Situ Molecular Pathology and Co-Expression Analyses Article This chapter focuses on the different ways to do coexpression analysis. It is important to stress that coexpression analysis is not just testing a given tissue for two or more targets using two or more chromogens and then using a system such as a Nuance to dissect the data. Although this approach is certainly useful, many times you can do coexpression analysis on a given tissue with just one chromogen. This can be achieved when the two (or more) different targets localize to either different cell types or different subcellular compartments. This chapter also stresses the importance of using serial sections whenever doing coexpression analysis. This allows you to analyze the same groups of cells for two or more targets separately and then to do the coexpression analysis on the same tissue. In most cases, the analysis of the serial section data will allow you to reach the key conclusions about the relative distribution of the two or more targets. Finally, this chapter gives a great deal of attention to the coexpression analysis of a microRNA and its putative target, given the importance of this topic to microRNA research. 2021 2020-09-11 /pmc/articles/PMC7484744/ http://dx.doi.org/10.1016/B978-0-12-820653-9.00011-0 Text en Copyright © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Nuovo, Gerard J. Coexpression analyses |
title | Coexpression analyses |
title_full | Coexpression analyses |
title_fullStr | Coexpression analyses |
title_full_unstemmed | Coexpression analyses |
title_short | Coexpression analyses |
title_sort | coexpression analyses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484744/ http://dx.doi.org/10.1016/B978-0-12-820653-9.00011-0 |
work_keys_str_mv | AT nuovogerardj coexpressionanalyses |