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Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints
The metastatic spread of cancer cells is a step-wise process that starts with dissociation from primary tumours and local invasion of adjacent tissues. The ability to invade local tissues is the product of several processes, including degradation of extracellular matrices (ECM) and movement of tumou...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685158/ https://www.ncbi.nlm.nih.gov/pubmed/29135975 http://dx.doi.org/10.1038/sdata.2017.172 |
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author | Rudzka, Dominika A. Clark, William Hedley, Ann Kalna, Gabriela Olson, Michael F. |
author_facet | Rudzka, Dominika A. Clark, William Hedley, Ann Kalna, Gabriela Olson, Michael F. |
author_sort | Rudzka, Dominika A. |
collection | PubMed |
description | The metastatic spread of cancer cells is a step-wise process that starts with dissociation from primary tumours and local invasion of adjacent tissues. The ability to invade local tissues is the product of several processes, including degradation of extracellular matrices (ECM) and movement of tumour cells through physically-restricting gaps. To identify properties contributing to tumour cells squeezing through narrow gaps, invasive MDA-MB-231 human breast cancer and MDA-MB-435 human melanoma cells were subjected to three successive rounds of selection using cell culture inserts with highly constraining 3 μm pores. For comparison purposes, flow cytometry was also employed to enrich for small diameter MDA-MB-231 cells. RNA-Sequencing (RNA-seq) using the Illumina NextSeq 500 platform was undertaken to characterize how gene expression differed between parental, invasive pore selected or small diameter cells. Gene expression results obtained by RNA-seq were validated by comparing with RT-qPCR. Transcriptomic data generated could be used to determine how alterations that enable cell passage through narrow spaces contribute to local invasion and metastasis. |
format | Online Article Text |
id | pubmed-5685158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56851582017-11-17 Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints Rudzka, Dominika A. Clark, William Hedley, Ann Kalna, Gabriela Olson, Michael F. Sci Data Data Descriptor The metastatic spread of cancer cells is a step-wise process that starts with dissociation from primary tumours and local invasion of adjacent tissues. The ability to invade local tissues is the product of several processes, including degradation of extracellular matrices (ECM) and movement of tumour cells through physically-restricting gaps. To identify properties contributing to tumour cells squeezing through narrow gaps, invasive MDA-MB-231 human breast cancer and MDA-MB-435 human melanoma cells were subjected to three successive rounds of selection using cell culture inserts with highly constraining 3 μm pores. For comparison purposes, flow cytometry was also employed to enrich for small diameter MDA-MB-231 cells. RNA-Sequencing (RNA-seq) using the Illumina NextSeq 500 platform was undertaken to characterize how gene expression differed between parental, invasive pore selected or small diameter cells. Gene expression results obtained by RNA-seq were validated by comparing with RT-qPCR. Transcriptomic data generated could be used to determine how alterations that enable cell passage through narrow spaces contribute to local invasion and metastasis. Nature Publishing Group 2017-11-14 /pmc/articles/PMC5685158/ /pubmed/29135975 http://dx.doi.org/10.1038/sdata.2017.172 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Rudzka, Dominika A. Clark, William Hedley, Ann Kalna, Gabriela Olson, Michael F. Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title | Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title_full | Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title_fullStr | Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title_full_unstemmed | Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title_short | Transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
title_sort | transcriptomic profiling of human breast and melanoma cells selected by migration through narrow constraints |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685158/ https://www.ncbi.nlm.nih.gov/pubmed/29135975 http://dx.doi.org/10.1038/sdata.2017.172 |
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