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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
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.
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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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