Cargando…
Transcriptomic profile of early zebrafish PGCs by single cell sequencing
Single cell RNA-seq is a powerful and sensitive way to capture the genome-wide gene expression. Here, single cell RNA-seq was utilized to study the transcriptomic profile of early zebrafish PGCs (primordial germ cells) at three different developmental stages. The three stages were 6, 11 and 24 hpf (...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693734/ https://www.ncbi.nlm.nih.gov/pubmed/31412047 http://dx.doi.org/10.1371/journal.pone.0220364 |
_version_ | 1783443727222571008 |
---|---|
author | Zhang, Xiaoyuan Li, Xintian Li, Ronghong Zhang, Yunbin Li, Yiping Li, Shifeng |
author_facet | Zhang, Xiaoyuan Li, Xintian Li, Ronghong Zhang, Yunbin Li, Yiping Li, Shifeng |
author_sort | Zhang, Xiaoyuan |
collection | PubMed |
description | Single cell RNA-seq is a powerful and sensitive way to capture the genome-wide gene expression. Here, single cell RNA-seq was utilized to study the transcriptomic profile of early zebrafish PGCs (primordial germ cells) at three different developmental stages. The three stages were 6, 11 and 24 hpf (hours post fertilization). For each developmental stage, three zebrafish PGCs from one embryo were collected, and 9 samples in total were used in this experiment. Single cell RNA-seq results showed that 5099–7376 genes were detected among the 9 samples, and the number of expressed genes decreased as development progressed. Based on the gene expression pattern, samples from 6 and 11 hpf clustered closely, while samples from 24 hpf were more dispersed. By WGCNA (weighted gene co-expression network analysis), the two biggest modules that had inverse gene expression patterns were found to be related to PGC formation or migration. Functional enrichment analysis for these two modules showed that PGCs mainly conducted migration and cell division in early development (6/11 hpf) and translation activity became active in late development (24 hpf). Differentially expressed gene analyses showed that more genes were downregulated than upregulated between two adjacent stages, and genes related to PGC formation or migration reported by previous studies decreased significantly from 11 to 24 hpf. Our results provide base knowledge about zebrafish PGC development at the single cell level and can be further studied by other researchers interested in biological development. |
format | Online Article Text |
id | pubmed-6693734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66937342019-08-16 Transcriptomic profile of early zebrafish PGCs by single cell sequencing Zhang, Xiaoyuan Li, Xintian Li, Ronghong Zhang, Yunbin Li, Yiping Li, Shifeng PLoS One Research Article Single cell RNA-seq is a powerful and sensitive way to capture the genome-wide gene expression. Here, single cell RNA-seq was utilized to study the transcriptomic profile of early zebrafish PGCs (primordial germ cells) at three different developmental stages. The three stages were 6, 11 and 24 hpf (hours post fertilization). For each developmental stage, three zebrafish PGCs from one embryo were collected, and 9 samples in total were used in this experiment. Single cell RNA-seq results showed that 5099–7376 genes were detected among the 9 samples, and the number of expressed genes decreased as development progressed. Based on the gene expression pattern, samples from 6 and 11 hpf clustered closely, while samples from 24 hpf were more dispersed. By WGCNA (weighted gene co-expression network analysis), the two biggest modules that had inverse gene expression patterns were found to be related to PGC formation or migration. Functional enrichment analysis for these two modules showed that PGCs mainly conducted migration and cell division in early development (6/11 hpf) and translation activity became active in late development (24 hpf). Differentially expressed gene analyses showed that more genes were downregulated than upregulated between two adjacent stages, and genes related to PGC formation or migration reported by previous studies decreased significantly from 11 to 24 hpf. Our results provide base knowledge about zebrafish PGC development at the single cell level and can be further studied by other researchers interested in biological development. Public Library of Science 2019-08-14 /pmc/articles/PMC6693734/ /pubmed/31412047 http://dx.doi.org/10.1371/journal.pone.0220364 Text en © 2019 Zhang et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Xiaoyuan Li, Xintian Li, Ronghong Zhang, Yunbin Li, Yiping Li, Shifeng Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title | Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title_full | Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title_fullStr | Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title_full_unstemmed | Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title_short | Transcriptomic profile of early zebrafish PGCs by single cell sequencing |
title_sort | transcriptomic profile of early zebrafish pgcs by single cell sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693734/ https://www.ncbi.nlm.nih.gov/pubmed/31412047 http://dx.doi.org/10.1371/journal.pone.0220364 |
work_keys_str_mv | AT zhangxiaoyuan transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing AT lixintian transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing AT lironghong transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing AT zhangyunbin transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing AT liyiping transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing AT lishifeng transcriptomicprofileofearlyzebrafishpgcsbysinglecellsequencing |