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Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states
Recent advances in molecular profiling provide descriptive datasets of complex differentiation landscapes including the haematopoietic system, but the molecular mechanisms defining progenitor states and lineage choice remain ill‐defined. Here, we employed a cellular model of murine multipotent haema...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737608/ https://www.ncbi.nlm.nih.gov/pubmed/33103827 http://dx.doi.org/10.15252/embj.2020104983 |
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author | Kucinski, Iwo Wilson, Nicola K Hannah, Rebecca Kinston, Sarah J Cauchy, Pierre Lenaerts, Aurelie Grosschedl, Rudolf Göttgens, Berthold |
author_facet | Kucinski, Iwo Wilson, Nicola K Hannah, Rebecca Kinston, Sarah J Cauchy, Pierre Lenaerts, Aurelie Grosschedl, Rudolf Göttgens, Berthold |
author_sort | Kucinski, Iwo |
collection | PubMed |
description | Recent advances in molecular profiling provide descriptive datasets of complex differentiation landscapes including the haematopoietic system, but the molecular mechanisms defining progenitor states and lineage choice remain ill‐defined. Here, we employed a cellular model of murine multipotent haematopoietic progenitors (Hoxb8‐FL) to knock out 39 transcription factors (TFs) followed by RNA‐Seq analysis, to functionally define a regulatory network of 16,992 regulator/target gene links. Focussed analysis of the subnetworks regulated by the B‐lymphoid TF Ebf1 and T‐lymphoid TF Gata3 revealed a surprising role in common activation of an early myeloid programme. Moreover, Gata3‐mediated repression of Pax5 emerges as a mechanism to prevent precocious B‐lymphoid differentiation, while Hox‐mediated activation of Meis1 suppresses myeloid differentiation. To aid interpretation of large transcriptomics datasets, we also report a new method that visualises likely transitions that a progenitor will undergo following regulatory network perturbations. Taken together, this study reveals how molecular network wiring helps to establish a multipotent progenitor state, with experimental approaches and analysis tools applicable to dissecting a broad range of both normal and perturbed cellular differentiation landscapes. |
format | Online Article Text |
id | pubmed-7737608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77376082020-12-18 Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states Kucinski, Iwo Wilson, Nicola K Hannah, Rebecca Kinston, Sarah J Cauchy, Pierre Lenaerts, Aurelie Grosschedl, Rudolf Göttgens, Berthold EMBO J Articles Recent advances in molecular profiling provide descriptive datasets of complex differentiation landscapes including the haematopoietic system, but the molecular mechanisms defining progenitor states and lineage choice remain ill‐defined. Here, we employed a cellular model of murine multipotent haematopoietic progenitors (Hoxb8‐FL) to knock out 39 transcription factors (TFs) followed by RNA‐Seq analysis, to functionally define a regulatory network of 16,992 regulator/target gene links. Focussed analysis of the subnetworks regulated by the B‐lymphoid TF Ebf1 and T‐lymphoid TF Gata3 revealed a surprising role in common activation of an early myeloid programme. Moreover, Gata3‐mediated repression of Pax5 emerges as a mechanism to prevent precocious B‐lymphoid differentiation, while Hox‐mediated activation of Meis1 suppresses myeloid differentiation. To aid interpretation of large transcriptomics datasets, we also report a new method that visualises likely transitions that a progenitor will undergo following regulatory network perturbations. Taken together, this study reveals how molecular network wiring helps to establish a multipotent progenitor state, with experimental approaches and analysis tools applicable to dissecting a broad range of both normal and perturbed cellular differentiation landscapes. John Wiley and Sons Inc. 2020-10-26 2020-12-15 /pmc/articles/PMC7737608/ /pubmed/33103827 http://dx.doi.org/10.15252/embj.2020104983 Text en © 2020 The Authors Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kucinski, Iwo Wilson, Nicola K Hannah, Rebecca Kinston, Sarah J Cauchy, Pierre Lenaerts, Aurelie Grosschedl, Rudolf Göttgens, Berthold Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title | Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title_full | Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title_fullStr | Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title_full_unstemmed | Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title_short | Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
title_sort | interactions between lineage‐associated transcription factors govern haematopoietic progenitor states |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737608/ https://www.ncbi.nlm.nih.gov/pubmed/33103827 http://dx.doi.org/10.15252/embj.2020104983 |
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