Cargando…

Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression

Single-cell transcriptomics has been used for analysis of heterogeneous populations of cells during developmental processes and for analysis of tumor cell heterogeneity. More recently, analysis of pseudotime (PT) dynamics of heterogeneous cell populations has been established as a powerful concept t...

Descripción completa

Detalles Bibliográficos
Autores principales: Loeffler-Wirth, Henry, Binder, Hans, Willscher, Edith, Gerber, Tobias, Kunz, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022966/
https://www.ncbi.nlm.nih.gov/pubmed/29614062
http://dx.doi.org/10.3390/biology7020023
_version_ 1783335764979875840
author Loeffler-Wirth, Henry
Binder, Hans
Willscher, Edith
Gerber, Tobias
Kunz, Manfred
author_facet Loeffler-Wirth, Henry
Binder, Hans
Willscher, Edith
Gerber, Tobias
Kunz, Manfred
author_sort Loeffler-Wirth, Henry
collection PubMed
description Single-cell transcriptomics has been used for analysis of heterogeneous populations of cells during developmental processes and for analysis of tumor cell heterogeneity. More recently, analysis of pseudotime (PT) dynamics of heterogeneous cell populations has been established as a powerful concept to study developmental processes. Here we perform PT analysis of 3 melanoma short-term cultures with different genetic backgrounds to study specific and concordant properties of PT dynamics of selected cellular programs with impact on melanoma progression. Overall, in our setting of melanoma cells PT dynamics towards higher tumor malignancy appears to be largely driven by cell cycle genes. Single cells of all three short-term cultures show a bipolar expression of microphthalmia-associated transcription factor (MITF) and AXL receptor tyrosine kinase (AXL) signatures. Furthermore, opposing gene expression changes are observed for genes regulated by epigenetic mechanisms suggesting epigenetic reprogramming during melanoma progression. The three melanoma short-term cultures show common themes of PT dynamics such as a stromal signature at initiation, bipolar expression of the MITF/AXL signature and opposing regulation of poised and activated promoters. Differences are observed at the late stage of PT dynamics with high, low or intermediate MITF and anticorrelated AXL signatures. These findings may help to identify targets for interference at different stages of tumor progression.
format Online
Article
Text
id pubmed-6022966
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-60229662018-07-02 Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression Loeffler-Wirth, Henry Binder, Hans Willscher, Edith Gerber, Tobias Kunz, Manfred Biology (Basel) Article Single-cell transcriptomics has been used for analysis of heterogeneous populations of cells during developmental processes and for analysis of tumor cell heterogeneity. More recently, analysis of pseudotime (PT) dynamics of heterogeneous cell populations has been established as a powerful concept to study developmental processes. Here we perform PT analysis of 3 melanoma short-term cultures with different genetic backgrounds to study specific and concordant properties of PT dynamics of selected cellular programs with impact on melanoma progression. Overall, in our setting of melanoma cells PT dynamics towards higher tumor malignancy appears to be largely driven by cell cycle genes. Single cells of all three short-term cultures show a bipolar expression of microphthalmia-associated transcription factor (MITF) and AXL receptor tyrosine kinase (AXL) signatures. Furthermore, opposing gene expression changes are observed for genes regulated by epigenetic mechanisms suggesting epigenetic reprogramming during melanoma progression. The three melanoma short-term cultures show common themes of PT dynamics such as a stromal signature at initiation, bipolar expression of the MITF/AXL signature and opposing regulation of poised and activated promoters. Differences are observed at the late stage of PT dynamics with high, low or intermediate MITF and anticorrelated AXL signatures. These findings may help to identify targets for interference at different stages of tumor progression. MDPI 2018-04-03 /pmc/articles/PMC6022966/ /pubmed/29614062 http://dx.doi.org/10.3390/biology7020023 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Loeffler-Wirth, Henry
Binder, Hans
Willscher, Edith
Gerber, Tobias
Kunz, Manfred
Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title_full Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title_fullStr Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title_full_unstemmed Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title_short Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression
title_sort pseudotime dynamics in melanoma single-cell transcriptomes reveals different mechanisms of tumor progression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022966/
https://www.ncbi.nlm.nih.gov/pubmed/29614062
http://dx.doi.org/10.3390/biology7020023
work_keys_str_mv AT loefflerwirthhenry pseudotimedynamicsinmelanomasinglecelltranscriptomesrevealsdifferentmechanismsoftumorprogression
AT binderhans pseudotimedynamicsinmelanomasinglecelltranscriptomesrevealsdifferentmechanismsoftumorprogression
AT willscheredith pseudotimedynamicsinmelanomasinglecelltranscriptomesrevealsdifferentmechanismsoftumorprogression
AT gerbertobias pseudotimedynamicsinmelanomasinglecelltranscriptomesrevealsdifferentmechanismsoftumorprogression
AT kunzmanfred pseudotimedynamicsinmelanomasinglecelltranscriptomesrevealsdifferentmechanismsoftumorprogression