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Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution

Cancer cell lines are not homogeneous nor are they static in their genetic state and biological properties. Genetic, transcriptional and phenotypic diversity within cell lines contributes to the lack of experimental reproducibility frequently observed in tissue-culture-based studies. While cancer ce...

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Autores principales: Andor, Noemi, Lau, Billy T, Catalanotti, Claudia, Sathe, Anuja, Kubit, Matthew, Chen, Jiamin, Blaj, Cristina, Cherry, Athena, Bangs, Charles D, Grimes, Susan M, Suarez, Carlos J, Ji, Hanlee P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079336/
https://www.ncbi.nlm.nih.gov/pubmed/32215369
http://dx.doi.org/10.1093/nargab/lqaa016
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author Andor, Noemi
Lau, Billy T
Catalanotti, Claudia
Sathe, Anuja
Kubit, Matthew
Chen, Jiamin
Blaj, Cristina
Cherry, Athena
Bangs, Charles D
Grimes, Susan M
Suarez, Carlos J
Ji, Hanlee P
author_facet Andor, Noemi
Lau, Billy T
Catalanotti, Claudia
Sathe, Anuja
Kubit, Matthew
Chen, Jiamin
Blaj, Cristina
Cherry, Athena
Bangs, Charles D
Grimes, Susan M
Suarez, Carlos J
Ji, Hanlee P
author_sort Andor, Noemi
collection PubMed
description Cancer cell lines are not homogeneous nor are they static in their genetic state and biological properties. Genetic, transcriptional and phenotypic diversity within cell lines contributes to the lack of experimental reproducibility frequently observed in tissue-culture-based studies. While cancer cell line heterogeneity has been generally recognized, there are no studies which quantify the number of clones that coexist within cell lines and their distinguishing characteristics. We used a single-cell DNA sequencing approach to characterize the cellular diversity within nine gastric cancer cell lines and integrated this information with single-cell RNA sequencing. Overall, we sequenced the genomes of 8824 cells, identifying between 2 and 12 clones per cell line. Using the transcriptomes of more than 28 000 single cells from the same cell lines, we independently corroborated 88% of the clonal structure determined from single cell DNA analysis. For one of these cell lines, we identified cell surface markers that distinguished two subpopulations and used flow cytometry to sort these two clones. We identified substantial proportions of replicating cells in each cell line, assigned these cells to subclones detected among the G0/G1 population and used the proportion of replicating cells per subclone as a surrogate of each subclone's growth rate.
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spelling pubmed-70793362020-03-23 Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution Andor, Noemi Lau, Billy T Catalanotti, Claudia Sathe, Anuja Kubit, Matthew Chen, Jiamin Blaj, Cristina Cherry, Athena Bangs, Charles D Grimes, Susan M Suarez, Carlos J Ji, Hanlee P NAR Genom Bioinform Standard Article Cancer cell lines are not homogeneous nor are they static in their genetic state and biological properties. Genetic, transcriptional and phenotypic diversity within cell lines contributes to the lack of experimental reproducibility frequently observed in tissue-culture-based studies. While cancer cell line heterogeneity has been generally recognized, there are no studies which quantify the number of clones that coexist within cell lines and their distinguishing characteristics. We used a single-cell DNA sequencing approach to characterize the cellular diversity within nine gastric cancer cell lines and integrated this information with single-cell RNA sequencing. Overall, we sequenced the genomes of 8824 cells, identifying between 2 and 12 clones per cell line. Using the transcriptomes of more than 28 000 single cells from the same cell lines, we independently corroborated 88% of the clonal structure determined from single cell DNA analysis. For one of these cell lines, we identified cell surface markers that distinguished two subpopulations and used flow cytometry to sort these two clones. We identified substantial proportions of replicating cells in each cell line, assigned these cells to subclones detected among the G0/G1 population and used the proportion of replicating cells per subclone as a surrogate of each subclone's growth rate. Oxford University Press 2020-03-14 /pmc/articles/PMC7079336/ /pubmed/32215369 http://dx.doi.org/10.1093/nargab/lqaa016 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Standard Article
Andor, Noemi
Lau, Billy T
Catalanotti, Claudia
Sathe, Anuja
Kubit, Matthew
Chen, Jiamin
Blaj, Cristina
Cherry, Athena
Bangs, Charles D
Grimes, Susan M
Suarez, Carlos J
Ji, Hanlee P
Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title_full Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title_fullStr Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title_full_unstemmed Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title_short Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution
title_sort joint single cell dna-seq and rna-seq of gastric cancer cell lines reveals rules of in vitro evolution
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079336/
https://www.ncbi.nlm.nih.gov/pubmed/32215369
http://dx.doi.org/10.1093/nargab/lqaa016
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