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Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming
Forced transcription factor expression can transdifferentiate somatic cells into other specialised cell types or reprogram them into induced pluripotent stem cells (iPSCs) with variable efficiency. To better understand the heterogeneity of these processes, we used single-cell RNA sequencing to follo...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435319/ https://www.ncbi.nlm.nih.gov/pubmed/30860479 http://dx.doi.org/10.7554/eLife.41627 |
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author | Francesconi, Mirko Di Stefano, Bruno Berenguer, Clara de Andrés-Aguayo, Luisa Plana-Carmona, Marcos Mendez-Lago, Maria Guillaumet-Adkins, Amy Rodriguez-Esteban, Gustavo Gut, Marta Gut, Ivo G Heyn, Holger Lehner, Ben Graf, Thomas |
author_facet | Francesconi, Mirko Di Stefano, Bruno Berenguer, Clara de Andrés-Aguayo, Luisa Plana-Carmona, Marcos Mendez-Lago, Maria Guillaumet-Adkins, Amy Rodriguez-Esteban, Gustavo Gut, Marta Gut, Ivo G Heyn, Holger Lehner, Ben Graf, Thomas |
author_sort | Francesconi, Mirko |
collection | PubMed |
description | Forced transcription factor expression can transdifferentiate somatic cells into other specialised cell types or reprogram them into induced pluripotent stem cells (iPSCs) with variable efficiency. To better understand the heterogeneity of these processes, we used single-cell RNA sequencing to follow the transdifferentation of murine pre-B cells into macrophages as well as their reprogramming into iPSCs. Even in these highly efficient systems, there was substantial variation in the speed and path of fate conversion. We predicted and validated that these differences are inversely coupled and arise in the starting cell population, with Myc(high) large pre-BII cells transdifferentiating slowly but reprogramming efficiently and Myc(low) small pre-BII cells transdifferentiating rapidly but failing to reprogram. Strikingly, differences in Myc activity predict the efficiency of reprogramming across a wide range of somatic cell types. These results illustrate how single cell expression and computational analyses can identify the origins of heterogeneity in cell fate conversion processes. |
format | Online Article Text |
id | pubmed-6435319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-64353192019-03-27 Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming Francesconi, Mirko Di Stefano, Bruno Berenguer, Clara de Andrés-Aguayo, Luisa Plana-Carmona, Marcos Mendez-Lago, Maria Guillaumet-Adkins, Amy Rodriguez-Esteban, Gustavo Gut, Marta Gut, Ivo G Heyn, Holger Lehner, Ben Graf, Thomas eLife Computational and Systems Biology Forced transcription factor expression can transdifferentiate somatic cells into other specialised cell types or reprogram them into induced pluripotent stem cells (iPSCs) with variable efficiency. To better understand the heterogeneity of these processes, we used single-cell RNA sequencing to follow the transdifferentation of murine pre-B cells into macrophages as well as their reprogramming into iPSCs. Even in these highly efficient systems, there was substantial variation in the speed and path of fate conversion. We predicted and validated that these differences are inversely coupled and arise in the starting cell population, with Myc(high) large pre-BII cells transdifferentiating slowly but reprogramming efficiently and Myc(low) small pre-BII cells transdifferentiating rapidly but failing to reprogram. Strikingly, differences in Myc activity predict the efficiency of reprogramming across a wide range of somatic cell types. These results illustrate how single cell expression and computational analyses can identify the origins of heterogeneity in cell fate conversion processes. eLife Sciences Publications, Ltd 2019-03-12 /pmc/articles/PMC6435319/ /pubmed/30860479 http://dx.doi.org/10.7554/eLife.41627 Text en © 2019, Francesconi et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Francesconi, Mirko Di Stefano, Bruno Berenguer, Clara de Andrés-Aguayo, Luisa Plana-Carmona, Marcos Mendez-Lago, Maria Guillaumet-Adkins, Amy Rodriguez-Esteban, Gustavo Gut, Marta Gut, Ivo G Heyn, Holger Lehner, Ben Graf, Thomas Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title | Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title_full | Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title_fullStr | Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title_full_unstemmed | Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title_short | Single cell RNA-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
title_sort | single cell rna-seq identifies the origins of heterogeneity in efficient cell transdifferentiation and reprogramming |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435319/ https://www.ncbi.nlm.nih.gov/pubmed/30860479 http://dx.doi.org/10.7554/eLife.41627 |
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