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FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system
Thousands of frozen, archived tissue samples from the human central nervous system (CNS) are currently available in brain banks. As recent developments in RNA sequencing technologies are beginning to elucidate the cellular diversity present within the human CNS, it is becoming clear that an understa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145626/ https://www.ncbi.nlm.nih.gov/pubmed/31728515 http://dx.doi.org/10.1093/nar/gkz968 |
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author | Amamoto, Ryoji Zuccaro, Emanuela Curry, Nathan C Khurana, Sonia Chen, Hsu-Hsin Cepko, Constance L Arlotta, Paola |
author_facet | Amamoto, Ryoji Zuccaro, Emanuela Curry, Nathan C Khurana, Sonia Chen, Hsu-Hsin Cepko, Constance L Arlotta, Paola |
author_sort | Amamoto, Ryoji |
collection | PubMed |
description | Thousands of frozen, archived tissue samples from the human central nervous system (CNS) are currently available in brain banks. As recent developments in RNA sequencing technologies are beginning to elucidate the cellular diversity present within the human CNS, it is becoming clear that an understanding of this diversity would greatly benefit from deeper transcriptional analyses. Single cell and single nucleus RNA profiling provide one avenue to decipher this heterogeneity. An alternative, complementary approach is to profile isolated, pre-defined cell types and use methods that can be applied to many archived human tissue samples that have been stored long-term. Here, we developed FIN-Seq (Frozen Immunolabeled Nuclei Sequencing), a method that accomplishes these goals. FIN-Seq uses immunohistochemical isolation of nuclei of specific cell types from frozen human tissue, followed by bulk RNA-Sequencing. We applied this method to frozen postmortem samples of human cerebral cortex and retina and were able to identify transcripts, including low abundance transcripts, in specific cell types. |
format | Online Article Text |
id | pubmed-7145626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71456262020-04-13 FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system Amamoto, Ryoji Zuccaro, Emanuela Curry, Nathan C Khurana, Sonia Chen, Hsu-Hsin Cepko, Constance L Arlotta, Paola Nucleic Acids Res Methods Online Thousands of frozen, archived tissue samples from the human central nervous system (CNS) are currently available in brain banks. As recent developments in RNA sequencing technologies are beginning to elucidate the cellular diversity present within the human CNS, it is becoming clear that an understanding of this diversity would greatly benefit from deeper transcriptional analyses. Single cell and single nucleus RNA profiling provide one avenue to decipher this heterogeneity. An alternative, complementary approach is to profile isolated, pre-defined cell types and use methods that can be applied to many archived human tissue samples that have been stored long-term. Here, we developed FIN-Seq (Frozen Immunolabeled Nuclei Sequencing), a method that accomplishes these goals. FIN-Seq uses immunohistochemical isolation of nuclei of specific cell types from frozen human tissue, followed by bulk RNA-Sequencing. We applied this method to frozen postmortem samples of human cerebral cortex and retina and were able to identify transcripts, including low abundance transcripts, in specific cell types. Oxford University Press 2020-01-10 2019-11-15 /pmc/articles/PMC7145626/ /pubmed/31728515 http://dx.doi.org/10.1093/nar/gkz968 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Amamoto, Ryoji Zuccaro, Emanuela Curry, Nathan C Khurana, Sonia Chen, Hsu-Hsin Cepko, Constance L Arlotta, Paola FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title | FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title_full | FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title_fullStr | FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title_full_unstemmed | FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title_short | FIN-Seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
title_sort | fin-seq: transcriptional profiling of specific cell types from frozen archived tissue of the human central nervous system |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145626/ https://www.ncbi.nlm.nih.gov/pubmed/31728515 http://dx.doi.org/10.1093/nar/gkz968 |
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