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Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation
Embryonic stem cell (ESC) culture conditions are important for maintaining long-term self-renewal, and they influence cellular pluripotency state. Here, we report single cell RNA-sequencing of mESCs cultured in three different conditions: serum, 2i, and the alternative ground state a2i. We find that...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595712/ https://www.ncbi.nlm.nih.gov/pubmed/26431182 http://dx.doi.org/10.1016/j.stem.2015.09.011 |
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author | Kolodziejczyk, Aleksandra A. Kim, Jong Kyoung Tsang, Jason C.H. Ilicic, Tomislav Henriksson, Johan Natarajan, Kedar N. Tuck, Alex C. Gao, Xuefei Bühler, Marc Liu, Pentao Marioni, John C. Teichmann, Sarah A. |
author_facet | Kolodziejczyk, Aleksandra A. Kim, Jong Kyoung Tsang, Jason C.H. Ilicic, Tomislav Henriksson, Johan Natarajan, Kedar N. Tuck, Alex C. Gao, Xuefei Bühler, Marc Liu, Pentao Marioni, John C. Teichmann, Sarah A. |
author_sort | Kolodziejczyk, Aleksandra A. |
collection | PubMed |
description | Embryonic stem cell (ESC) culture conditions are important for maintaining long-term self-renewal, and they influence cellular pluripotency state. Here, we report single cell RNA-sequencing of mESCs cultured in three different conditions: serum, 2i, and the alternative ground state a2i. We find that the cellular transcriptomes of cells grown in these conditions are distinct, with 2i being the most similar to blastocyst cells and including a subpopulation resembling the two-cell embryo state. Overall levels of intercellular gene expression heterogeneity are comparable across the three conditions. However, this masks variable expression of pluripotency genes in serum cells and homogeneous expression in 2i and a2i cells. Additionally, genes related to the cell cycle are more variably expressed in the 2i and a2i conditions. Mining of our dataset for correlations in gene expression allowed us to identify additional components of the pluripotency network, including Ptma and Zfp640, illustrating its value as a resource for future discovery. |
format | Online Article Text |
id | pubmed-4595712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45957122015-10-28 Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation Kolodziejczyk, Aleksandra A. Kim, Jong Kyoung Tsang, Jason C.H. Ilicic, Tomislav Henriksson, Johan Natarajan, Kedar N. Tuck, Alex C. Gao, Xuefei Bühler, Marc Liu, Pentao Marioni, John C. Teichmann, Sarah A. Cell Stem Cell Resource Embryonic stem cell (ESC) culture conditions are important for maintaining long-term self-renewal, and they influence cellular pluripotency state. Here, we report single cell RNA-sequencing of mESCs cultured in three different conditions: serum, 2i, and the alternative ground state a2i. We find that the cellular transcriptomes of cells grown in these conditions are distinct, with 2i being the most similar to blastocyst cells and including a subpopulation resembling the two-cell embryo state. Overall levels of intercellular gene expression heterogeneity are comparable across the three conditions. However, this masks variable expression of pluripotency genes in serum cells and homogeneous expression in 2i and a2i cells. Additionally, genes related to the cell cycle are more variably expressed in the 2i and a2i conditions. Mining of our dataset for correlations in gene expression allowed us to identify additional components of the pluripotency network, including Ptma and Zfp640, illustrating its value as a resource for future discovery. Cell Press 2015-10-01 /pmc/articles/PMC4595712/ /pubmed/26431182 http://dx.doi.org/10.1016/j.stem.2015.09.011 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resource Kolodziejczyk, Aleksandra A. Kim, Jong Kyoung Tsang, Jason C.H. Ilicic, Tomislav Henriksson, Johan Natarajan, Kedar N. Tuck, Alex C. Gao, Xuefei Bühler, Marc Liu, Pentao Marioni, John C. Teichmann, Sarah A. Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title | Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title_full | Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title_fullStr | Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title_full_unstemmed | Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title_short | Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation |
title_sort | single cell rna-sequencing of pluripotent states unlocks modular transcriptional variation |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595712/ https://www.ncbi.nlm.nih.gov/pubmed/26431182 http://dx.doi.org/10.1016/j.stem.2015.09.011 |
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