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A Primer for Single-Cell Sequencing in Non-Model Organisms
Single-cell sequencing technologies have led to a revolution in our knowledge of the diversity of cell types, connections between biological levels of organization, and relationships between genotype and phenotype. These advances have mainly come from using model organisms; however, using single-cel...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872538/ https://www.ncbi.nlm.nih.gov/pubmed/35205423 http://dx.doi.org/10.3390/genes13020380 |
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author | Alfieri, James M. Wang, Guosong Jonika, Michelle M. Gill, Clare A. Blackmon, Heath Athrey, Giridhar N. |
author_facet | Alfieri, James M. Wang, Guosong Jonika, Michelle M. Gill, Clare A. Blackmon, Heath Athrey, Giridhar N. |
author_sort | Alfieri, James M. |
collection | PubMed |
description | Single-cell sequencing technologies have led to a revolution in our knowledge of the diversity of cell types, connections between biological levels of organization, and relationships between genotype and phenotype. These advances have mainly come from using model organisms; however, using single-cell sequencing in non-model organisms could enable investigations of questions inaccessible with typical model organisms. This primer describes a general workflow for single-cell sequencing studies and considerations for using non-model organisms (limited to multicellular animals). Importantly, single-cell sequencing, when further applied in non-model organisms, will allow for a deeper understanding of the mechanisms between genotype and phenotype and the basis for biological variation. |
format | Online Article Text |
id | pubmed-8872538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88725382022-02-25 A Primer for Single-Cell Sequencing in Non-Model Organisms Alfieri, James M. Wang, Guosong Jonika, Michelle M. Gill, Clare A. Blackmon, Heath Athrey, Giridhar N. Genes (Basel) Review Single-cell sequencing technologies have led to a revolution in our knowledge of the diversity of cell types, connections between biological levels of organization, and relationships between genotype and phenotype. These advances have mainly come from using model organisms; however, using single-cell sequencing in non-model organisms could enable investigations of questions inaccessible with typical model organisms. This primer describes a general workflow for single-cell sequencing studies and considerations for using non-model organisms (limited to multicellular animals). Importantly, single-cell sequencing, when further applied in non-model organisms, will allow for a deeper understanding of the mechanisms between genotype and phenotype and the basis for biological variation. MDPI 2022-02-19 /pmc/articles/PMC8872538/ /pubmed/35205423 http://dx.doi.org/10.3390/genes13020380 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Alfieri, James M. Wang, Guosong Jonika, Michelle M. Gill, Clare A. Blackmon, Heath Athrey, Giridhar N. A Primer for Single-Cell Sequencing in Non-Model Organisms |
title | A Primer for Single-Cell Sequencing in Non-Model Organisms |
title_full | A Primer for Single-Cell Sequencing in Non-Model Organisms |
title_fullStr | A Primer for Single-Cell Sequencing in Non-Model Organisms |
title_full_unstemmed | A Primer for Single-Cell Sequencing in Non-Model Organisms |
title_short | A Primer for Single-Cell Sequencing in Non-Model Organisms |
title_sort | primer for single-cell sequencing in non-model organisms |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872538/ https://www.ncbi.nlm.nih.gov/pubmed/35205423 http://dx.doi.org/10.3390/genes13020380 |
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